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1

Almeida, Henrique A., and Paulo J. Bártolo. "Topological Optimisation of Scaffolds for Tissue Engineering." Procedia Engineering 59 (2013): 298–306. http://dx.doi.org/10.1016/j.proeng.2013.05.125.

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2

Moss, A., T. Macquart, A. Panesar, M. Forrest, P. Greaves, and A. Pirrera. "Structural Design of Wind Turbine Blades with an Additively Manufactured Graded Lattice Core using Topology Optimisation." Journal of Physics: Conference Series 2265, no. 3 (2022): 032004. http://dx.doi.org/10.1088/1742-6596/2265/3/032004.

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Abstract Conventional wind turbine blade manufacture relies on large, expensive moulds. Instead, using additive manufacturing to print the internal structure of blades, upon which it would be possible to lay composite plies, could significantly reduce manufacturing costs and, as one could “3D print” topologically optimal designs, improve structural efficiency. In general, topology optimisation integrates well with additive manufacturing. There are, however, two main challenges associated with the adoption of topology optimisation in wind blade design, i.e. accounting for: (i) the aeroelastic response of blades; and (ii) the variety of different materials that would be employed, in the composite laminates as well as the printed structure. To address these challenges, the present paper proposes a new multi-step design and optimisation framework relying on the combination of three software. First, a conventional aero-servo-elastic model is used to evaluate blade loads and displacements. Next, a topology optimisation software is used to optimise the blade laminates and core structure. Third, a lattice generator is used to convert the topological optimised “grey” design into an equivalent cellular design that can be printed using additive manufacturing. The full methodology of this design framework and an initial proof-of-concept topology optimisation solution are presented in this paper.
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Tong, Zeqi, Cheng Shen, Jie Fang, Mingming Ding, and Huimin Tao. "Research on the Application of Structural Topology Optimisation in the High-Precision Design of a Press Machine Frame." Processes 12, no. 1 (2024): 226. http://dx.doi.org/10.3390/pr12010226.

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This article aims to optimise the structure of a press machine to enhance its stability and accuracy, as well as reduce the frame deformation during processing. The outer supporting frame of the JH31-250 press machine (Zhejiang Weili Forging Machinery Co., Ltd, Shaoxing, China) is used as a typical sample for exploring optimisation. Commercial software is utilised to conduct a finite element analysis on the three-dimensional model of the press machine frame. A topological optimisation algorithm using the solid isotropic microstructures with penalisation (SIMP) method is then applied to improve the structure of the press frame. The size of the topological structure is further refined with the response surface method and particle swarm optimisation method to ensure it is more relevant to engineering application. The analysis results indicate that the initial frame’s deformation under the static conditions is 0.4229 mm, and after optimisation, the deformed structural displacement is 0.2548 mm, a decrease of 39.75%. Additionally, a simplified experimental method is designed to effectively validate the simulation and the proposed design.
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4

Xu, Yihong, and Chuanxi Zhu. "On super efficiency in set-valued optimisation in locally convex spaces." Bulletin of the Australian Mathematical Society 71, no. 2 (2005): 183–92. http://dx.doi.org/10.1017/s0004972700038168.

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The set-valued optimisation problem with constraints is considered in the sense of super efficiency in locally convex linear topological spaces. Under the assumption of nearly cone-subconvexlikeness, by applying the separation theorem for convex sets, Kuhn-Tucker and Lagrange necessary conditions for the set-valued optimisation problem to attain its super efficient solutions are obtained. Also, Kuhn-Tucker and Lagrange sufficient conditions are derived. Finally two kinds of unconstrained programs equivalent to set-valued optimisation problems are established.
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5

Baublys, Adolfas. "IMPROVEMENT OF FREIGHT TRANSPORT TECHNOLOGIES AND IMPLEMENTATION OF NEW TECHNOLOGIES." TRANSPORT 18, no. 5 (2003): 193–97. http://dx.doi.org/10.3846/16483840.2003.10414096.

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The synthesis of regional (urban) road transport freight system topological structure enables the assessment of impact exercised by various structural characteristics on the functioning of the system. For this reason the quality of project solutions in the stage of system structural synthesis increases. Models of optimisation and simulation (included into the simulation procedure of optimisation of topological structure) have other possibilities as well. For instance, simulation model enables the solution of such various objectives of functional analysis of systems as, for example, the efficiency comparison analysis of stability of structure undergoing the changes of meanings of system parameters, the analysis of managing impacts of various types, loading technologies, etc.
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6

Almeida, Henrique de Amorim, and Paulo Jorge da Silva Bártolo. "Virtual topological optimisation of scaffolds for rapid prototyping." Medical Engineering & Physics 32, no. 7 (2010): 775–82. http://dx.doi.org/10.1016/j.medengphy.2010.05.001.

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7

Xie (Mike), Yi Min, Zhi Hao Zuo, Xiaodong Huang, Tim Black, and Peter Felicetti. "Application of Topological Optimisation Technology to Bridge Design." Structural Engineering International 24, no. 2 (2014): 185–91. http://dx.doi.org/10.2749/101686614x13830790993366.

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8

Gaidur, M., I. Pascal, E. Rakosi, T. Ulian, S. Talif, and Gh Manolache. "Analytical study regarding topological optimisation of an internal combustion engine cylinder block." IOP Conference Series: Materials Science and Engineering 1220, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1757-899x/1220/1/012020.

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Abstract The continuous rush for development has led the world of automotive engineering to progress that seemed unimaginable just a few years ago. This research paper examined the impact of a topological optimisation of an internal combustion engine block. Starting with the initial conditions, a constraint and load case scenario was established, after which a FEA simulation was conducted to set the reference values. In the last part of the research paper, test results are head-to-head compared to determine and quantify the improvements. This study aims to reduce the volume of the optimised part and increase its overall rigidity. The topology optimisation process represents a good solution for “what if” scenarios. By varying optimisation constraints, the designers can quickly check if the mass reduction of the analysed part is worth the changes.
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9

A., K. Madan, and Saxena Srashti. "The Merger of Topology Optimisation in Additive Manufacturing." International Journal of Research in Aeronautical and Mechanical Engineering 9, no. 10 (2021): 11–22. https://doi.org/10.5281/zenodo.5602806.

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Topology optimization has become a subject of study unto itself in recent years, not only because it provokes the intellectual community's curiosity, but also because it provides significant responses to real-life industrial difficulties. Topology optimization is being used to create a lightweight product while still meeting its functional criteria for a new product or a redesign of an existing product. Additive Manufacturing is defined as the layer-by-layer production of geometrically demanding components, which significantly minimises the complexity restrictions imposed on topology optimization by the old subtractive process. This perspective paper enlists the compassion of these two methods as they work together. The paper compiles the methodology along with the merits and demerits of the optimisation technique. A review has been done on lightweight design and continuum optimisation, which resulted in a reduction of weight by 65% and the use of grid-like ground structures. The goal is to motivate both researchers and engineers to come up with creative solutions to face the modern-day challenge in this field
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10

Mysłek, Andrzej. "Greedy randomised adaptive search procedures for topological design of MPLS networks." Journal of Telecommunications and Information Technology, no. 2 (June 30, 2002): 26–32. http://dx.doi.org/10.26636/jtit.2002.2.126.

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In this paper, the IP/MPLS network cost optimisation problem of selecting localisation of nodes and links, combined with link`s dimensioning, is discussed. As the considered problem is hard, we discuss and propose greedy randomised adaptive search procedure (GRASP) based solution method. GRASP is an iterative randomised sampling technique which combines adaptive randomised greedy function in constructing initial solution with local search optimisation. The effectiveness of the method is illustrated by means of a~numerical study. We compare the GRASP results with results for both exact and heuristic methods obtained in previous research concerning topological design problem.
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11

Gao, Yang, Tan Li, Fanshu Meng, Zhenzhong Hou, Chao Xu, and Laixia Yang. "Topological Optimisation Structure Design for Personalisation of Hydrogel Controlled Drug Delivery System." Materials 16, no. 7 (2023): 2687. http://dx.doi.org/10.3390/ma16072687.

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Personalised controlled drug delivery systems (CDDSs) can adjust drug concentration levels according to patient needs, which has enormous research prospects in precision medicine. In this study, the topological optimisation method was utilised in the structural design of a hydrogel CDDS to achieve a parameter-based adjustment of the drug average concentration in the hydrogel. A polyacrylamide/sodium alginate dual-network hydrogel was selected as a drug carrier, and tetracycline hydrochloride was used as a model drug. The topological optimisation model of the hydrogel CDDS was developed. The effects of the mesh size, target concentration, and volume factor on the optimised results were investigated. Hydrogel flow channel structures were obtained, which satisfied the different target concentrations. To verify the rationality of the optimisation model, in vitro drug release experiments were carried out. The results show that the hydrogel CDDS can control drug release within 7 days, and the drug release tends to follow zero-order release behaviour. The adjustable average concentration of tetracycline hydrochloride in hydrogel CDDS is recommended in the range of 20.79 to 31.04 mol/m3. This novel method provides a reference for personalised structure design of CDDS in the context of precision medicine.
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12

Karaś, Piotr. "Heuristic algorithms in topological design of telecommunication networks." Journal of Telecommunications and Information Technology, no. 3 (September 30, 2003): 73–82. http://dx.doi.org/10.26636/jtit.2003.3.188.

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The paper addresses the generic topological network design problem and considers the use of various heuristic algorithms for solving the problem. The target of the optimisation is to determine a network structure and demand allocation pattern that would minimise the cost of the network, which is given by fixed installation costs of nodes and links and variable link capacity costs described by linear or concave functions. Input data for the optimisation consists of a list of potential node and link locations and their costs and a set of demands defined between the nodes. Since the problem is known to be NP-hard, the use of specialised heuristic algorithms is proposed. The presented approaches encompass original ideas as well as selected methods described in literature and their enhancements. The algorithms are based on the following ideas and methods: shifting of individual flows, local and global restoration of flows from chosen links or nodes, Yaged algorithm for finding local minima, Minoux greedy algorithm, simulated allocation and genetic algorithms. Efficiency of each of the proposed methods is tested on a set of numerical examples.
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13

Billenstein, D., C. Dinkel, and F. Rieg. "Automated Topological Clustering of Design Proposals in Structural Optimisation." International Journal of Simulation Modelling 17, no. 4 (2018): 657–66. http://dx.doi.org/10.2507/ijsimm17(4)454.

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14

KAMAHORI, Mizuki, Hiroshi ISAKARI, Toru TAKAHASHI, and Toshiro MATSUMOTO. "A structural optimisation using shape and topological derivatives simultaneously." Proceedings of OPTIS 2018.13 (2018): 111. http://dx.doi.org/10.1299/jsmeoptis.2018.13.111.

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15

Matamala, Adelio R., and Ernesto Estrada. "Generalised topological indices: Optimisation methodology and physico-chemical interpretation." Chemical Physics Letters 410, no. 4-6 (2005): 343–47. http://dx.doi.org/10.1016/j.cplett.2005.05.096.

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16

Bao, Ding Wen, Xin Yan, and Yi Min Xie. "Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication." International Journal of Architectural Computing 20, no. 1 (2022): 7–17. http://dx.doi.org/10.1177/14780771221082257.

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Natural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collaboration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in the process of generating complex geometry of the building and its various elements.
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17

Konopa, Krzysztof, and Artur Cichański. "Topological optimization of the support frame of a 20-foot office container." Developments in Mechanical Engineering 11, no. 19 (2023): 23–32. http://dx.doi.org/10.37660/dme.2023.19.11.3.

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Numerical structural analysis using the finite element method has be-come standard in modern machine and equipment design processes. Increasingly, not only the strength or stiffness of the structure is verified, but also the selection of geometric features in optimisation analyses is performed in an automated man-ner. The paper deals with the problem of topological optimisation of the supporting frame of a 20-foot office container at the initial stage of geometric feature selection. The computations were performed in the ANSYS Workbench environment. Four load cases were formulated according to the operating conditions of the container. The objective function for the analyses was to achieve a minimum mass. Con-straints defining the set of good solutions were also adopted for the analyses. These constraints included excluding from the analyses those areas of the model where boundary conditions were applied and limiting the maximum dimensions of the frame cross sections. On the basis of the analyses, a numerical model of the frame that was considered optimal in terms of maximum weight loss was indicated. For this variant, a geometric shape of a frame composed of standardised sections was proposed. The frame obtained in this way was subjected to a computational verifi-cation in terms of structural strength for the boundary conditions resulting from the previously assumed load cases. The work demonstrates the effectiveness of top-ological optimisation using the SIMP method for the analysis of frame structures.
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18

Skworcow, P., D. Paluszczyszyn, and B. Ulanicki. "Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems." Drinking Water Engineering and Science Discussions 7, no. 1 (2014): 121–49. http://dx.doi.org/10.5194/dwesd-7-121-2014.

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Abstract. This paper considers optimisation of pump and valve schedules in complex large-scale water distribution networks (WDN), taking into account pressure aspects such as minimum service pressure and pressure-dependent leakage. An optimisation model is automatically generated in GAMS language from a hydraulic model in EPANET format and from additional files describing operational constraints, electricity tariffs and pump station configurations. The paper describes in details how each hydraulic component is modelled. To reduce the size of the optimisation problem the full hydraulic model is simplified using module reduction algorithm, while retaining the nonlinear characteristics of the model. Subsequently, a nonlinear programming solver CONOPT is used to solve the optimisation model, which is in the form of Nonlinear Programming with Discontinuous Derivatives (DNLP). The results produced by CONOPT are processed further by heuristic algorithms to generate integer solution. The proposed approached was tested on a large-scale WDN model provided in EPANET format. The considered WDN included complex structures and interactions between pump stations. Solving of several scenarios considering different horizons, time steps, operational constraints, demand levels and topological changes demonstrated ability of the approach to automatically generate and solve optimisation problems for variety of requirements.
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19

Zhou, Xin, Chenglin Tao, Xi Liang, Zeliang Liu, and Huijian Li. "Design and Mechanical Properties of Maximum Bulk Modulus Microstructures Based on a Smooth Topology with Grid Point Density." Aerospace 11, no. 2 (2024): 145. http://dx.doi.org/10.3390/aerospace11020145.

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The aim of topology optimisation is to determine the optimal distribution of material phases within the periodic cells of a microstructure. In this paper, the density of grid points under element volume fraction is constructed to replace the finite elements in the traditional SIMP framework, avoiding jagged and blurry boundaries in the computational process due to grid dependence. This is then combined with homogenisation theory, a microstructure topology optimisation algorithm with maximum bulk modulus under prescribed volume constraints is proposed, which can obtain 2D and 3D topologies with smooth boundaries. In addition, a closed form expression for the two-dimensional topological concave edge structure (taking the most typical topology as an example) was derived, and a compression experiment was conducted on the topological microstructure based on 3D metal printing technology. Scanning electron microscopy showed that the powder bonded on the surface of the printed structure was not completely melted and the step effect caused the finite element analysis results to be higher than the experimental results. Overall, the finite element simulation and experimental results of the concave surface structure have good consistency, with high strength and energy absorption effects. Topologies based on grid point density obtain microstructures with smooth boundaries, and the introduction of the Heaviside smoothing function and multiple filtering steps within this algorithm leads to more robust optimisation, facilitating 3D or 4D printing of microstructures that meet specific design requirements and confirming the feasibility of the proposed topology for lightweighting studies.
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20

Starodubtsev, Nikolai, Sofia Khrustaleva, Victoria Nevlyudova, and Rauf Allakhveranov. "OPTIMISATION OF OPTICAL INFOCOMMUNICATION NETWORKS." Системи управління, навігації та зв’язку. Збірник наукових праць 4, no. 74 (2023): 171–75. http://dx.doi.org/10.26906/sunz.2023.4.171.

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The article reviews existing approaches to network analysis, taking into account the topological properties of networks. A sequential analysis from a network link to the properties of a set of network links is carried out. The network link is analysed as a set of optical channels, and an analytical description of the transmission quality in such a channel is carried out. A model for calculating crosstalk in the paths of information and communication optical networks is proposed. As can be seen from the results, for an optical fibre of a given length, there is a number of steps for selecting the input polarisation ellipse for which the efficiency of the method is maximised. Also, with an increase in the number of steps, we observe a decrease in the efficiency of this compensation method. So, for an optical fibre of a given length at constant dynamics, there is a number of input signal polarisation ellipses for which the polarisation-mode dispersion will be minimal. For a particular fibre, this parameter (the number of input signals) must be selected, because this value is different for different fibres (within the range of 15-30 points).
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21

Oval, Robin, Romain Mesnil, Tom Van Mele, Olivier Baverel, and Philippe Block. "Creasing the British Museum: Topology Finding of Crease Patterns for Shell Structures." Journal of the International Association for Shell and Spatial Structures 65, no. 1 (2024): 44–56. http://dx.doi.org/10.20898/j.iass.2024.004.

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Several structural systems rely on a specific hierarchy between their constitutive elements, which results in topological constraints on the feasible patterns that can describe them. Folded, corrugated, or creased surface structures require this bipartition, also called two-colouring, between independent wavy and smooth directions. Finding a valid pattern for complex design problems is not straightforward and identifying relevant ones is important as creasing can either strengthen or weaken a structure. This paper presents a way of tackling such a design problem, by focusing on the roof of the Great Courtyard of the British Museum, revisiting this structure with a creased shell to increase its bending stiffness in the key directions. The methodology includes two-colour topology finding of corrugated patterns, parametric structural analysis, and simple structural optimisation through data analysis for topological combination, which opens new research avenues for performance-informed topological exploration.
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22

Skworcow, P., D. Paluszczyszyn, and B. Ulanicki. "Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems." Drinking Water Engineering and Science 7, no. 1 (2014): 53–62. http://dx.doi.org/10.5194/dwes-7-53-2014.

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Abstract. This paper considers optimisation of pump and valve schedules in complex large-scale water distribution networks (WDN), taking into account pressure aspects such as minimum service pressure and pressure-dependent leakage. An optimisation model is automatically generated in the GAMS language from a hydraulic model in the EPANET format and from additional files describing operational constraints, electricity tariffs and pump station configurations. The paper describes in details how each hydraulic component is modelled. To reduce the size of the optimisation problem the full hydraulic model is simplified using module reduction algorithm, while retaining the nonlinear characteristics of the model. Subsequently, a nonlinear programming solver CONOPT is used to solve the optimisation model, which is in the form of Nonlinear Programming with Discontinuous Derivatives (DNLP). The results produced by CONOPT are processed further by heuristic algorithms to generate integer solution. The proposed approached was tested on a large-scale WDN model provided in the EPANET format. The considered WDN included complex structures and interactions between pump stations. Solving of several scenarios considering different horizons, time steps, operational constraints, demand levels and topological changes demonstrated ability of the approach to automatically generate and solve optimisation problems for a variety of requirements.
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23

YOSHIMITSU, Ichi, Hiroshi ISAKARI, Toru TAKAHASHI, and Toshiro MATSUMOTO. "A topological optimisation for 3D elastostatic problem with boundary element method." Proceedings of The Computational Mechanics Conference 2016.29 (2016): 4_115. http://dx.doi.org/10.1299/jsmecmd.2016.29.4_115.

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24

Kalliorinne, Kalle, Francesc Pérez-Ràfols, John Fabricius, and Andreas Almqvist. "Application of topological optimisation methodology to infinitely wide slider bearings operating under compressible flow." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 234, no. 7 (2020): 1035–50. http://dx.doi.org/10.1177/1350650120901907.

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It has been over a century since the interest in inventing the optimal topology for bearings arose. A significant achievement was published by Lord Rayleigh, who found the step-bearing geometry which maximise the load-carrying capacity when the classical Reynolds equation is used to model thin film flow of an iso-viscous and incompressible fluid. Since then, new optimisation methods considering some variants of governing equations for finding the best possible bearings have surfaced, one of which will be presented in this paper. Here, two different formulations for compressible flow, i.e. ideal gas and constant bulk modulus compressibility, as well as the classical Reynolds formulation will be used in combination with the method of moving asymptotes for topological optimisation. All three of these problem formulations provide us with unique geometries, which either maximise the load-carrying capacity or minimise friction, for fluids with a wide variety of compressibility.
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25

Harl, B. "Effect of Topological Optimisation on the Kinetic Properties of the Kinematic Chain." International Journal of Simulation Modelling 24, no. 1 (2025): 5–16. https://doi.org/10.2507/ijsimm24-1-704.

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26

Todinov, M. T. "Risk-based reliability allocation and topological optimisation based on minimising the total cost." International Journal of Reliability and Safety 1, no. 4 (2007): 489. http://dx.doi.org/10.1504/ijrs.2007.016261.

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27

Monteiro, Kaike, Carlos Zhu, Trayana Tankova, Ana Francisca Santos, and Luís Simões da Silva. "Experimental and numerical assessment of the topological optimisation of additively manufactured T‐joints." ce/papers 6, no. 3-4 (2023): 769–74. http://dx.doi.org/10.1002/cepa.2737.

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AbstractAdditive manufacturing (AM) is rapidly expanding to all research areas due to its multiple advantages, such as the freedom and flexibility in achieving any geometry. By using AM as a fabrication technique, the design process has almost no limitations, blending considerably well with the irregular geometries that may result from topology optimization, which can produce optimal material configuration. Therefore, Topology Optimization can combine greatly with Additive manufacturing. A suitable AM method concerning geometry, speed and shape is Wire Arc Additive Manufacturing (WAAM). In this paper, a hollow square t‐joint is modelled and evaluated by the application of two optimization methods with various parameters to find an optimal geometry; numerical analysis (FEM) on non‐optimized and optimized models; and experimental assessments on non‐optimized and optimized printed t‐joints to validate the entire process.
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28

Gao, Xingjun, Riccardo Caivano, Andrea Tridello, et al. "Innovative formulation for topological fatigue optimisation based on material defects distribution and TopFat algorithm." International Journal of Fatigue 147 (June 2021): 106176. http://dx.doi.org/10.1016/j.ijfatigue.2021.106176.

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29

Zhang, Junyuan, Zhongyu Li, Qiang Fang, and Chao Chen. "Topological optimisation design of passenger car seat backrest frame based on multiple-loading conditions." International Journal of Crashworthiness 25, no. 5 (2019): 581–90. http://dx.doi.org/10.1080/13588265.2019.1634355.

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30

Wei, Guangkai, Yuan Chen, Xu Han, Guixing Li, Yingchun Bai, and Kunkun Fu. "Stress-constrained concurrent multiscale topological design of porous composites based on discrete material optimisation." Applied Mathematical Modelling 137 (January 2025): 115730. http://dx.doi.org/10.1016/j.apm.2024.115730.

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31

Almeida, Henrique A., and Paulo J. Bártolo. "Combined Elastic and Shear Stress Solicitations for Topological Optimisation of Micro-CT Based Scaffolds." Procedia Engineering 110 (2015): 159–66. http://dx.doi.org/10.1016/j.proeng.2015.07.024.

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32

Vega, Lorena, Francesc Viñes, and Konstantin M. Neyman. "Unravelling Morphological and Topological Energy Contributions of Metal Nanoparticles." Nanomaterials 12, no. 1 (2021): 17. http://dx.doi.org/10.3390/nano12010017.

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Metal nanoparticles (NPs) are ubiquitous in many fields, from nanotechnology to heterogeneous catalysis, with properties differing from those of single-crystal surfaces and bulks. A key aspect is the size-dependent evolution of NP properties toward the bulk limit, including the adoption of different NP shapes, which may bias the NP stability based on the NP size. Herein, the stability of different Pdn NPs (n = 10–1504 atoms) considering a myriad of shapes is investigated by first-principles energy optimisation, leading to the determination that icosahedron shapes are the most stable up to a size of ca. 4 nm. In NPs larger than that size, truncated octahedron shapes become more stable, yet a presence of larger {001} facets than the Wulff construction is forecasted due to their increased stability, compared with (001) single-crystal surfaces, and the lower stability of {111} facets, compared with (111) single-crystal surfaces. The NP cohesive energy breakdown in terms of coordination numbers is found to be an excellent quantitative tool of the stability assessment, with mean absolute errors of solely 0.01 eV·atom−1, while a geometry breakdown allows only for a qualitative stability screening.
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33

Finney, Mark A., Rob C. Seli, Charles W. McHugh, Alan A. Ager, Bernhard Bahro, and James K. Agee. "Simulation of long-term landscape-level fuel treatment effects on large wildfires." International Journal of Wildland Fire 16, no. 6 (2007): 712. http://dx.doi.org/10.1071/wf06064.

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A simulation system was developed to explore how fuel treatments placed in topologically random and optimal spatial patterns affect the growth and behaviour of large fires when implemented at different rates over the course of five decades. The system consisted of a forest and fuel dynamics simulation module (Forest Vegetation Simulator, FVS), logic for deriving fuel model dynamics from FVS output, a spatial fuel treatment optimisation program, and a spatial fire growth and behaviour model to evaluate the performance of the treatments in modifying large fire growth. Simulations were performed for three study areas: Sanders County in western Montana, the Stanislaus National Forest in California, and the Blue Mountains in south-eastern Washington. For different spatial treatment strategies, the results illustrated that the rate of fuel treatment (percentage of land area treated per decade) competes against the rates of fuel recovery to determine how fuel treatments contribute to multidecade cumulative impacts on the response variables. Using fuel treatment prescriptions that simulate thinning and prescribed burning, fuel treatment arrangements that are optimal in disrupting the growth of large fires require at least 1 to 2% of the landscape to be treated each year. Randomly arranged units with the same treatment prescriptions require about twice that rate to produce the same fire growth reduction. The results also show that the topological fuel treatment optimisation tends to balance maintenance of previous units with treatment of new units. For example, with 2% landscape treatment annually, fewer than 5% of the units received three or more treatments in five decades with most being treated only once or twice and ~35% remaining untreated after five decades.
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34

Lillico, M., R. Butler, S. Guo, and J. R. Banerjee. "Aeroelastic optimisation of composite wings using the dynamic stiffness method." Aeronautical Journal 101, no. 1002 (1997): 77–86. http://dx.doi.org/10.1017/s0001924000066744.

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Abstract A computer program for use in the conceptual stage of aircraft design has been developed. The program obtains minimum mass designs for high aspect ratio, composite wings, subject to constraints on flutter speed, divergence speed and material stress. The wing is modelled as a series of composite beam elements and both flutter speed and divergence speed are calculated using a normal mode approach. Modal analysis is carried out by applying the Wittrick-Williams algorithm to the dynamic stiffness method, whereas unsteady aerodynamic loads are calculated from strip theory, although an option which uses lifting-surface theory is also presented. A previously published example is given to validate the analysis. Single level optimisation is carried out using a sequential quadratic programming strategy combined with the modified methods of feasible directions optimizer, for which flutter sensitivities are obtained by an efficient determinant interpolation technique. Design variables include topological variables such as spar and engine positions as well as layer thicknesses, which are modelled using quadratic functions. The wing of a regional turboprop aircraft is optimized to illustrate the use of the program. The problem was modelled using 10 elements and had 43 design variables, 162 constraints and required just over 20 minutes of CPU time on a workstation. This, coupled with the fact that a full three-dimensional FE model of the same wing would require over 1000 elements, illustrates the suitability of the dynamic stiffness method to the conceptual design stage.
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35

Kang, Sungwook, J. Choi, and Sengkwan Choi. "Mechanism of Heat Transfer through Porous Media of Inorganic Intumescent Coating in Cone Calorimeter Testing." Polymers 11, no. 2 (2019): 221. http://dx.doi.org/10.3390/polym11020221.

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This work discusses the heat transfer process through a particular form of porous media: an inorganic-based intumescent coating in full-expansion state. Although the thermal mechanism in porous media has been vigorously studied for polymeric/ceramic/metallic foams, less information is available on its application with intumescent-type polymers. This examination demonstrates the procedure of (1) the optimisation of the coating’s internal multicellular structure for numerical modelling, based on topological analyses; (2) the finite element simulation for the coating-sample tested with cone calorimetry; and (3) the quantitative evaluation of the thermal insulation performance of its porous structure by adopting effective thermal conductivity. The modelling technique was verified using measurable data from the cone calorimeter tests. Consistent agreement between the numerical predictions and experimental measurements was achieved over the whole steel-substrate temperature history, based on the clarified thermal boundaries of the specimen and modelling of the combined conduction-radiation transfer. This numerical approach exhibits the impacts of porosity, pore-size, and external thermal load on the medium’s performance, as well as the individual contributions of the component heat transfer modes to the overall process. The full understanding of this thermal mechanism can contribute to the enhancement and optimisation of the thermal insulation performance of a porous-type refractory polymer.
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Seminara, Edoardo, Giuseppe Laudani, Giuliana Baiamonte, and Michele Calì. "The Wing Structure of an F3J/F5J Competition Sailplane: Topological Optimisation with Simplex Method and Additive Manufacturing." International Review on Modelling and Simulations (IREMOS) 15, no. 6 (2022): 359. http://dx.doi.org/10.15866/iremos.v15i6.23066.

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37

Oliveira, Carlos, Ana Pais, and Jorge Belinha. "Structural Optimisation of a Suspension Control Arm Using a Bi-Evolutionary Bone Remodelling Inspired Algorithm and the Radial Point Interpolation Method." Applied Sciences 15, no. 2 (2025): 502. https://doi.org/10.3390/app15020502.

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Today, topological structural optimisation is a valuable computational technique for designing mechanical components with optimal mass-to-stiffness ratios. Thus, this work aims to assess the performance of the Radial Point Interpolation Method (RPIM) when compared with the well-established Finite Element Method (FEM) within the context of a vehicle suspension control arm’s structural optimisation process. Additionally, another objective of this work is to propose an optimised design for the suspension control arm. Being a meshless method, RPIM allows one to discretise the problem’s domain with an unstructured nodal distribution. Since RPIM relies on a weak form equation to establish the system of equations, it is necessary to additionally discretise the problem domain with a set of background integration points. Then, using the influence domain concept, nodal connectivity is established for each integration point. RPIM shape functions are constructed using polynomial and radial basis functions with interpolating properties. The RPIM linear elastic formulation is then coupled with a bi-evolutionary bone remodelling algorithm, allowing for non-linear structural optimisation analyses and achieving solutions with optimal stiffness/mass ratios. In this work, a vehicle suspension control arm is analysed. The obtained solutions were evaluated, revealing that RPIM allows better solutions with enhanced truss connections and a higher number of intermediate densities. Assuming the obtained optimised solutions, four models are investigated, incorporating established design principles for material removal commonly used in vehicle suspension control arms. The proposed models showed a significant mass reduction, between 18.3% and 31.5%, without losing their stiffness in the same amount. It was found that the models presented a stiffness reduction between 5.4% and 9.8%. The obtained results show that RPIM is capable of delivering solutions similar to FEM, confirming it as an alternative numerical technique.
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38

Santhanakrishnan, Mani Sekaran, Timothy Tilford, and Christopher Bailey. "Performance assessment of density and level-set topology optimisation methods for three dimensional heat sink design." Journal of Algorithms & Computational Technology 12, no. 3 (2018): 273–87. http://dx.doi.org/10.1177/1748301818779019.

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In this paper, two most prevalent topological optimisation approaches namely Density and Level set method are applied to a three dimensional heat sink design problem. The relative performance of the two approaches is compared in terms of design quality, robustness and computational speed. The work is original as for the first time it demonstrates the relative advantages and disadvantages for each method when applied to a practical engineering problem. It is additionally novel in that it presents the design of a convectively cooled heat sink by solving full thermo-fluid equations for two different solid-fluid material sets. Further, results are validated using a separate computational fluid dynamics study with the optimised designs are compared against a standard pin-fin-based heat sink design. The results show that the Density method demonstrates better performance in terms of robustness and computational speed, while Level-set method yields a better quality design in terms of final objective value.
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39

Kapun, Gregor, Endre Majorovits, Sašo Šturm, Marjan Marinšek, and Tina Skalar. "The Microstructural Reconstruction of Variously Sintered Ni-SDC Cermets Using Focused Ion Beam Scanning Electron Microscopy Nanotomography." Materials 17, no. 13 (2024): 3068. http://dx.doi.org/10.3390/ma17133068.

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This work focuses in-depth on the quantitative relationships between primary first-order microstructural parameters (i.e., volume fractions of various phases and particle size distribution) with the more complex second-order topological features (i.e., connectivity of phases, three-phase boundary length (TPBL), interfacial areas, or tortuosity). As a suitable model material, a cermet nickel/samaria-doped ceria (Ni-SDC) is used as an anode in a solid oxide fuel cell (SOFC). A microstructure description of nano-sized Ni-SDC cermets, fabricated at various sintering conditions from 1100 °C to 1400 °C, was performed using FIB-SEM nanotomography. The samples were serially sectioned employing a fully automated slicing procedure with active drift correction algorithms and an auto-focusing routine to obtain a series of low-loss BSE images. Advanced image processing algorithms were developed and applied directly to image data volume. The microstructural–topological relationships are crucial for the microstructure optimisation and, thus, the improvement of the corresponding electrode performance. Since all grains of individual phases (Ni, SDC, or pores) did not percolate, special attention was given to the visualisation of the so-called active TPBL. Based on the determined microstructure characteristics of the prepared Ni-SDC cermets, including simulations of gas flow and pressure drop, thermal treatment at 1200 °C was recognised as the most appropriate sintering temperature.
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40

Djami, Aslain Brisco Ngnassi, and Wolfgang Nzie. "Analyse Conceptuelle Et Optimisation De La Fiabilité Des Systèmes : Cas D’une Unité De Production De Farines Des Nourrissons." European Scientific Journal, ESJ 14, no. 24 (2018): 283. http://dx.doi.org/10.19044/esj.2018.v14n24p283.

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The purpose of this article is to propose an approach to analyse and optimize the topology of reliability in the design of mechanical systems. The application is made on a chain of production of infant flours. Indeed, the systems that we design are more and more complex and must be realized at reduced costs. These systems are "multi-domains" because many trades come into play. High reliability for complex topology systems is required. Thus, we present a methodology for the analysis of reliability in the design process that groups models based on diagrams. Finally, to optimize the topological configuration and the reliability of the system, the so-called "robust design" method coupled with an appropriate algorithm is deployed. The expected result is: the proposal of a methodology for optimizing the topology and the reliability of the systems.
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41

Silva, Tiago, Afonso Gregório, Filipe Silva, et al. "Numerical-Experimental Plastic-Damage Characterisation of Additively Manufactured 18Ni300 Maraging Steel by Means of Multiaxial Double-Notched Specimens." Journal of Manufacturing and Materials Processing 5, no. 3 (2021): 84. http://dx.doi.org/10.3390/jmmp5030084.

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Additive manufacturing (AM) has become a viable option for producing structural parts with a high degree of geometrical complexity. Despite such trend, accurate material properties, under diversified testing conditions, are scarce or practically non-existent for the most recent additively manufactured (AMed) materials. Such data gap may compromise component performance design, through numerical simulation, especially enhanced by topological optimisation of AMed components. This study aimed at a comprehensive characterisation of laser powder bed fusion as-built 18Ni300 maraging steel and its systematic comparison to the conventional counterpart. Multiaxial double-notched specimens demonstrated a successful depiction of both plastic and damage behaviour under different stress states. Tensile specimens with distinct notch configurations were also used for high stress triaxiality range characterisation. This study demonstrates that the multiaxial double-notched specimens constitute a viable option towards the inverse plastic behaviour calibration of high-strength additively manufactured steels in distinct state of stress conditions. AMed maraging steel exhibited higher strength and lower ductility than the conventional material.
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42

Sala, Francesca, Gianluca Danilo D’Urso, and Claudio Giardini. "Evaluation of the Integration of Topological Optimisation in the Process Chain for Manufacturing Customised Orthopaedic Devices via Additive Manufacturing." Prosthesis 6, no. 6 (2024): 1510–28. https://doi.org/10.3390/prosthesis6060109.

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Purpose: The effectiveness of the customised solutions compared to the conventional ones and the emergence of advanced production technologies, such as Additive Manufacturing (AM) techniques, strengthened the trend towards an enhanced individualization of the clinical treatments. In the present research, the value of topological optimisation (TO) in the manufacturing process of tailor-made orthopaedic appliance (upper-limb orthosis) was analysed. Methodology: From the morphology of a patient’s arm, orthotic models were developed. Nonparametric optimization (Simulia Tosca) was performed, based on the Finite Element Analysis (FEA) program (Abaqus), and contributed to the development of TO orthotic models with diverse levels of volume reduction fraction. The modelling and manufacturing framework for customising orthotic solutions was evaluated with a discussion on the feasibility of lightweight and high-performance products, encompassing production time and cost. Pilot products were produced with a Material Extrusion (MEX) printer. Findings: TO proved to be a practical and valuable approach for the advanced customisation of orthopaedic devices, offering lightweight solutions able to withstand stresses also during patient rehabilitation and remission. From the rapid prototyping perspective, specific strategies must be adopted to prevent the escalation of production costs and time. Originality: The research delves into the overall benefit of implementing an advanced modelling technique within the context of manufacturing highly customised orthoses, analysing how TO activity impacts the rapid prototyping process. Beyond product evaluation, the analysis explores broader implications, including the assessment of feasibility and the development of strategies for integrating the approach into clinical workflows and hospital settings.
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43

HANADA, Moemi, Hiroshi ISAKARI, Toru TAKAHASHI, and Toshiro MATSUMOTO. "A Discussion on the Topological Derivative in 2D Acoustic-viscoelastic Field for a Topology Optimisation for a Sound-absorbing Material." Proceedings of Conference of Tokai Branch 2017.66 (2017): 514. http://dx.doi.org/10.1299/jsmetokai.2017.66.514.

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44

Panigrahi, Niranjan, and Pabitra Mohan Khilar. "Optimal topological balancing strategy for performance optimisation of consensus-based clock synchronisation protocols in wireless sensor networks: a genetic algorithm-based approach." IET Wireless Sensor Systems 4, no. 4 (2014): 213–22. http://dx.doi.org/10.1049/iet-wss.2014.0063.

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45

Rokstad, Marius Møller. "Optimisation of Fixed-Outlet and Flow-Modulated Pressure Reduction Measures in Looped Water Distribution Networks Constrained by Fire-Fighting Capacity Requirements." International Journal of Environmental Research and Public Health 18, no. 13 (2021): 7088. http://dx.doi.org/10.3390/ijerph18137088.

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Pressure management is a pivotal component when reducing leakages from water distribution networks, and can be achieved by sub-dividing existing networks into partitions where the pressure can be reduced effectively. There is a need to develop methods that aid in the identification of cost-effective partitions for pressure reduction, while simultaneously verifying that the topological changes entailed in these solutions do not compromise reliability and (fire-fighting) capacity requirements, especially in systems where the capacity is ensured through looped networks. This paper presents a method that can be used to this end, in which a novel combination of hydraulic simulations and graph theory is used to determine the maximal potential for (dynamic and static) pressure reduction, and this is used as a constraint for multi-objective optimization of pressure reduction measures. Trondheim, Norway, has been used as a case study area, and it is demonstrated how the developed method aids in the process of achieving leakage reduction in Trondheim. The results for Trondheim show that an economically optimal solution for pressure management is predicted to lead to a reduction from 28 to 22% water loss volume, and furthermore that effective pressure management will rely heavily on active (dynamic) regulation in this particular system.
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46

Sivan, Suma L., and Vinod Chandra S. Sukumara Pillai. "Smell Detection Agent Optimisation Framework and Systems Biology Approach to Detect Dys-Regulated Subnetwork in Cancer Data." Biomolecules 12, no. 1 (2021): 37. http://dx.doi.org/10.3390/biom12010037.

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Network biology has become a key tool in unravelling the mechanisms of complex diseases. Detecting dys-regulated subnetworks from molecular networks is a task that needs efficient computational methods. In this work, we constructed an integrated network using gene interaction data as well as protein–protein interaction data of differentially expressed genes derived from the microarray gene expression data. We considered the level of differential expression as well as the topological weight of proteins in interaction network to quantify dys-regulation. Then, a nature-inspired Smell Detection Agent (SDA) optimisation algorithm is designed with multiple agents traversing through various paths in the network. Finally, the algorithm provides a maximum weighted module as the optimum dys-regulated subnetwork. The analysis is performed for samples of triple-negative breast cancer as well as colorectal cancer. Biological significance analysis of module genes is also done to validate the results. The breast cancer subnetwork is found to contain (i) valid biomarkers including PIK3CA, PTEN, BRCA1, AR and EGFR; (ii) validated drug targets TOP2A, CDK4, HDAC1, IL6, BRCA1, HSP90AA1 and AR; (iii) synergistic drug targets EGFR and BIRC5. Moreover, based on the weight values assigned to nodes in the subnetwork, PLK1, CTNNB1, IGF1, AURKA, PCNA, HSPA4 and GAPDH are proposed as drug targets for further studies. For colorectal cancer module, the analysis revealed the occurrence of approved drug targets TYMS, TOP1, BRAF and EGFR. Considering the higher weight values, HSP90AA1, CCNB1, AKT1 and CXCL8 are proposed as drug targets for experimentation. The derived subnetworks possess cancer-related pathways as well. The SDA-derived breast cancer subnetwork is compared with that of tools such as MCODE and Minimum Spanning Tree, and observed a higher enrichment (75%) of significant elements. Thus, the proposed nature-inspired algorithm is a novel approach to derive the optimum dys-regulated subnetwork from huge molecular network.
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47

Trofimova, Larysa. "Modeling and Optimization of Technology and Physics-Mechanical Properties of Composite Materials." Key Engineering Materials 864 (September 2020): 59–65. http://dx.doi.org/10.4028/www.scientific.net/kem.864.59.

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To this day, there is a large volume collected of the results of experimental studies on structure changes in various dispersions serving as base for production of most construction materials. The analysis of collected information revealed that there is an entire category of stick-slip phenomena, the case history of which is represented by N-and S-type inflections on rheological, kinetic and other curves. We should emphasis that the view of such non-trivial charts is alike with geometry of standard curves of standard conditions. And this alikeness predetermines the possibility of applying topological models of «fold» and «ruffle» types for studying various abnormal effects. We must also note that besides N- and S-types there is a range of other characteristics («flags») pointing to applicability of the methods of catastrophe theory to studying certain processes initiating the apparition of interruptions in system development. Recognition of above-mentioned particularities allows determining the fact and type of catastrophe, the standardised structure of which facilitates finding strict patterns and thus defines directions of optimisation of various situations of research and practical nature. This work shows that pieces of evidence and consistent patters are reliably interpreted within the framework of the proposed concept.
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48

Saxena, Abhishek, Asha V, G. Lalitha, et al. "Expanding Horizons: Graph Theory’s Multifaceted Applications." E3S Web of Conferences 507 (2024): 01015. http://dx.doi.org/10.1051/e3sconf/202450701015.

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A subfield of mathematics called graph theory studies networks of points interconnected by lines. Researchers may model and examine the structure of a network using graph theory. Mostly topological in nature, graph theory supports both qualitative and quantitative methods. Important scientific findings have been made possible by graph theory, including a better understanding of how electrical distribution systems malfunction and how health problems spread through social networks. Although network analysis typically conjures images of graph theory, complex network theory, and network optimisation, geographers employ a variety of techniques to study networks. This study emphasises the foundational significance of graph theory in modelling and analysing complicated networks by methodically exploring the many applications of graph theory throughout several fields. It starts with a review of the fundamental roles that graph theory plays in mathematical information, computational science, and chemistry. The discussion then moves to cutting-edge applications in the fields of social media, means of transport, and the field of neuroscience, demonstrating graph theory’s versatility. The research emphasises its new application in improving traffic flow projections and assessing cultural environmental amenities employing social media data. The present article validates the crucial role of graph theory in addressing contemporary issues through an extensive overview and methodological study.
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49

Fernandez, Bastien, and Fanni M. Sélley. "Conditioning problems for invariant sets of expanding piecewise affine mappings: application to loss of ergodicity in globally coupled maps." Nonlinearity 35, no. 8 (2022): 3991–4042. http://dx.doi.org/10.1088/1361-6544/ac640f.

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Abstract We propose a systematic approach to the construction of invariant union of polytopes (IUP) in expanding piecewise affine mappings whose linear components are isotropic scalings. The approach relies on using empirical information embedded in trajectories in order to infer, and then to solve, a so-called conditioning problem for some generating collection of polytopes. A conditioning problem consists of a series of requirements on the polytopes’ localisation and on the dynamical transitions between these elements. The core element of the approach is a reformulation of the problem as a set of piecewise linear inequalities for some matrices which encapsulate geometric constraints. In that way, the original topological puzzle is converted into a standard problem in computational geometry. This transformation involves an optimisation procedure that ensures that both problems are equivalent. As a proof of concept, the approach is applied to the study of the loss of ergodicity in basic examples of globally coupled maps. The study explains, completes and substantially extends previous achievements about asymmetric IUP in these systems. Comparison with the numerics reveals sharp existence conditions depending on the map parameters, and accurate fits of the empirical ergodic components. In addition, this application also reveals unanticipated features about conditioning problem solutions, especially as the dependence on the set of admissible face directions is concerned.
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50

Heng, Yi Peng, Ho Yan Lee, Jia Wen Chong, Raymond R. Tan, Kathleen B. Aviso, and Nishanth G. Chemmangattuvalappil. "Incorporating Machine Learning in Computer-Aided Molecular Design for Fragrance Molecules." Processes 10, no. 9 (2022): 1767. http://dx.doi.org/10.3390/pr10091767.

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The demand for new novel flavour and fragrance (F&F) molecules has boosted the need for a systematic approach to designing fragrance molecules. However, the F&F-related industry still relies heavily on experimental approaches or on existing databases without considering the consequences resulting from changes in concentration, which could omit potential fragrances. Computer-aided molecular design (CAMD) has great potential to identify novel molecular structures to be used as fragrances. Using CAMD for this purpose requires models to predict the olfaction properties of molecules. A rough set-based machine learning (RSML) approach is used to develop an interpretable predictive model for odour characteristics in this work. New rule-based models are generated from RSML based on the dilution and a number of different topological indices which identify the structure-odour relationship of fragrance molecules. The most prominent rules are selected and formulated as constraints in a CAMD optimisation model. The combination of several rules was able to increase the coverage of different classes of molecules. To model the performance indicators that vary over a range of properties, a disjunctive programming model is also incorporated into the CAMD framework. A case study demonstrates the utilisation of this methodology to design fragrance additives in dishwashing liquid. The results illustrate the capability of the novel RSML and CAMD framework to identify potential fragrance molecules that can be used in consumer products.
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