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Journal articles on the topic 'Structural Optimisation'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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Vankan, W. J., R. Maas, and S. Grihon. "Efficient optimisation of large aircraft fuselage structures." Aeronautical Journal 118, no. 1199 (2014): 31–52. http://dx.doi.org/10.1017/s0001924000008915.

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Abstract This paper presents an innovative optimisation method for aircraft fuselage structural design. Detailed local finite element analyses of panel buckling are further processed such that they can be applied as failure constraints in the global level optimisation. The high computational costs involved with the finite element analyses are limited by advanced use of surrogate modelling methods. This yields high flexibility and efficiency in the local level optimisation procedure and allows for efficient gradient based search methods as well as more costly direct search optimisations like genetic algorithms (GAs). The method is demonstrated on a composite fuselage barrel design case considering common structural sizing variables like thicknesses and stringer dimensions. Optimised barrel designs are obtained where the constraints that are derived from the panel buckling analyses are active. The total computational cost for the complete local and global level optimisation procedures is in the order of days on common-performance hardware.

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Chen, Lian-Meng, Sun-Kai Yan, Zhi-Chao Jiang, et al. "Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance." Buildings 13, no. 9 (2023): 2353. http://dx.doi.org/10.3390/buildings13092353.

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This study proposed a framework of optimal design for flexible cable dome structures based on progressive collapse resistance. First, a quantitative evaluation method for nonlinear robustness based on robustness control theory to reflect the structural progressive collapse resistance was proposed. Second, an actual engineering structure was used as a case study to evaluate the effects of design parameters on structural robustness. Finally, a genetic algorithm was used as an optimisation algorithm to further optimise the element cross-section and the structural shape and obtain a combined optimisation rate. The results indicated that increasing the element cross-sectional area, decreasing the structural span, and increasing the rise-to-span ratio effectively improved the structural robustness. The structural robustness was also effectively improved through the optimal design of element cross-sections by increasing element cross-sections sensitive to structural robustness and decreasing those insensitive to structural robustness. In this study, the combined optimisation rate was 38.27%, which was not only greater than the individual optimisation rates of 11.2% for element cross-sectional area optimisation and 22.5% for structural shape optimisation but also the sum of these two rates.

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De Wilde, W. P., T. Vandenbergh, and W. Debacker. "Structural optimisation and sustainable design." International Journal of Computational Methods and Experimental Measurements 3, no. 3 (2015): 187–204. http://dx.doi.org/10.2495/cmem-v3-n3-187-204.

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W. Lim, J., and S. Sivaguru. "Chassis Structural Design of Track Racing One Manned Formula Car." International Journal of Engineering & Technology 7, no. 3.32 (2018): 71. http://dx.doi.org/10.14419/ijet.v7i3.32.18396.

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The current work contains the design and optimisation of a spaceframe chassis for a track racing one manned formula car able to participate in the Formula Society of Automotive Engineers (Formula SAE) 2017/2018. Materials, profile cross section types were selected by considering the theories of elastic failure. The structural strength of the chassis was determined by Finite Element Analysis using ABAQUS software by determining the stress distribution during static and dynamic loading in addition to exposing the modal frequencies. Beam elements were used in the finite element model as it provides accurate modelling of small deflection bending responses. A simple baseline chassis design was developed that adheres to the Formula SAE 2017/2018 rules. Optimisations were made in terms of the configuration and material utilisation of the chassis members were done to prevent yielding during the static loading of car components and dynamic loading during acceleration and cornering. Furthermore, the same method of optimisation was used in prevention of the coincidence of natural frequency with the frequency of the engine.

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Ma, Chao, Caiqi Xu, Mohammad Souri, Elham Hosseinzadeh, and Masoud Jabbari. "Multi-Objective Optimisation of the Battery Box in a Racing Car." Technologies 12, no. 7 (2024): 93. http://dx.doi.org/10.3390/technologies12070093.

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The optimisation of electric vehicle battery boxes while preserving their structural performance presents a formidable challenge. Many studies typically involve fewer than 10 design variables in their optimisation processes, a deviation from the reality of battery box design scenarios. The present study, for the first time, attempts to use sensitivity analysis to screen the design variables and achieve an efficient optimisation design with a large number of original design variables. Specifically, the sensitivity analysis method was proposed to screen a certain number of optimisation variables, reducing the computational complexity while ensuring the efficiency of the optimisation process. A combination of the Generalised Regression Neural Network (GRNN) and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) was employed to construct surrogate models and solve the optimisation problem. The optimisation model integrates these techniques to balance structural performance and weight reduction. The optimisation results demonstrate a significant reduction in battery box weight while maintaining structural integrity. Therefore, the proposed approach in this study provides important insights for achieving high-efficiency multi-objective optimisation of battery box structures.

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Ribeiro, Tiago P., Luís F. A. Bernardo, and Jorge M. A. Andrade. "Topology Optimisation in Structural Steel Design for Additive Manufacturing." Applied Sciences 11, no. 5 (2021): 2112. http://dx.doi.org/10.3390/app11052112.

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Topology Optimisation is a broad concept deemed to encapsulate different processes for computationally determining structural materials optimal layouts. Among such techniques, Discrete Optimisation has a consistent record in Civil and Structural Engineering. In contrast, the Optimisation of Continua recently emerged as a critical asset for fostering the employment of Additive Manufacturing, as one can observe in several other industrial fields. With the purpose of filling the need for a systematic review both on the Topology Optimisation recent applications in structural steel design and on its emerging advances that can be brought from other industrial fields, this article critically analyses scientific publications from the year 2015 to 2020. Over six hundred documents, including Research, Review and Conference articles, added to Research Projects and Patents, attained from different sources were found significant after eligibility verifications and therefore, herein depicted. The discussion focused on Topology Optimisation recent approaches, methods, and fields of application and deepened the analysis of structural steel design and design for Additive Manufacturing. Significant findings can be found in summarising the state-of-the-art in profuse tables, identifying the recent developments and research trends, as well as discussing the path for disseminating Topology Optimisation in steel construction.

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Tomašić, Dubravko, Dragan Peraković, and Marinko Jurčević. "Interdependence between Inventory Management and Employees’ Satisfaction." PROMET - Traffic&Transportation 25, no. 3 (2013): 245–54. http://dx.doi.org/10.7307/ptt.v25i3.909.

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The study determines the correlation between the application of advanced models and methods of inventory optimisation in the supply chain in relation to the satisfaction of employees who are responsible for managing the inventory optimisation processes. The previous studies confirm that the optimisation of inventory management in the supply chain insures competitive advantages on the market. There is space for further research of impact of the achieved inventory optimisation in the supply chain on the change of the employees’ satisfaction. The paper establishes the interrelation of the interdependence of the achieved inventory optimisations on the satisfaction of the employees and the related synergy effects of acquiring added value of the companies on the market oriented to the satisfaction of the buyers and service users. The research has defined new knowledge in interdependence of inventory management optimisation on the change of indicators of employees’ satisfaction. Based on the performed research an assumption has been created for the design of an application package (so-called XaaS-based services) for the management of interaction processes of inventory optimization in the supply chain, satisfaction of service users and employees.

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Kurcjusz, Małgorzata, Tomasz Sokół, and Agnieszka Chudzińska. "Sizing optimisation of steel truss based on algorithms." Acta Scientiarum Polonorum. Architectura 22 (July 24, 2023): 11–19. http://dx.doi.org/10.22630/aspa.2023.22.2.

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Computational methods enable mathematical discretisation in structural design. Thus, thanks to the algorithmic design, the obtained results matrix presents various structurally efficient load-bearing elements. The main aim of this paper is to address the topic of material optimisation in truss bar structures with different approaches. The paper analyses and compares steel truss optimisation based on two software optimisation algorithms (MS Excel and Ansys Mechanical) using gradient and sub-problem methods. The key findings present how effective each method is in structural optimisation and concludes the present study with a roadmap to efficient structural designing of the load-bearing truss elements.

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Jiang, Wei, Weicheng Xie, and Shuai Sun. "Parametric Optimisation Analysis of Micro/Nano-Satellite Flywheels Based on the NSGA-Ⅱ Optimisation Algorithm." Aerospace 9, no. 7 (2022): 386. http://dx.doi.org/10.3390/aerospace9070386.

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As the key mechanism of attitude control of micro/nano-satellites, the flywheel design is mostly based on empirical formulae that do not meet the requirements of lightweight and high-performance micro/nano-satellite platforms. In this paper, the structural shape of micro/nano-satellite flywheels is analysed, and a set of flywheel optimisation methods is proposed to realise the parametric optimisation analysis of the structural shape. First, the general principle of flywheel efficiency is introduced, the optimisation evaluation factor of flywheel design is proposed, and the parametric model of a flywheel structure is established by using the finite element secondary development technology, which can be used to quickly build a finite element model of different dimensions. Second, the optimisation model of flywheels is established while introducing the approximate model algorithm, greatly improving the optimisation efficiency. Considering the phenomenon that the genetic algorithm falls below local optimisation under a large parameter range, the method of initial optimisation is proposed to reduce the upper and lower limits of the optimisation parameters. Finally, the optimal shape of the flywheel is obtained by using the parametric optimisation model of the flywheel. The finite element analysis results show that the flywheel optimisation evaluation factor proposed in this work can effectively improve the comprehensive performance of the flywheel as the optimisation target, and the corresponding optimisation method can be well applied to the engineering application and design of micro/nano-satellite platforms. This can help guide the structural optimisation design of micro/nano-satellite platforms in the future.

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Chiu, Louis N. S., Daniel Stojanov, Bernard Rolfe, and Wen Yi Yan. "Effect of Optimisation Parameters in Topology Optimisation." Key Engineering Materials 725 (December 2016): 529–34. http://dx.doi.org/10.4028/www.scientific.net/kem.725.529.

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The Bi-directional Evolutionary Structural Optimisation (BESO) method had been used by many authors for the optimisation of structures. This work sets out to investigate the effect of key optimisation parameters utilized in the BESO method, the evolution rate and the filter radius, on the outcome of the optimisation. An understanding of the interaction of these factors in the optimisation process enables a more efficient way to produce optimised components that can fully capitalise on the capabilities of additive manufacturing.

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Phillips, Andrew T. M. "Structural optimisation: biomechanics of the femur." Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 165, no. 2 (2012): 147–54. http://dx.doi.org/10.1680/eacm.10.00032.

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Chen, Yu‐Ming, Kuo‐Shuh Fan, and Ban‐Jwu Shih. "2.5D Nodal based evolutionary structural optimisation." Journal of the Chinese Institute of Engineers 33, no. 6 (2010): 899–908. http://dx.doi.org/10.1080/02533839.2010.9671678.

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Marinkovic, Aleksandar, Miloš Sedak, Tatjana Lazović, and Maja Rosić. "Structural optimisation of planetary gearbox components." FME Transactions 53, no. 1 (2025): 74–84. https://doi.org/10.5937/fme2501074m.

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The high-speed reduction in a relatively small space, coupled with a torque load capacity larger than that of any other standard transmission, positions planetary gear systems as one of the most vital components in gearing applications today. Structural analysis of a gear train is conducted using CATIA software, employing strain full tensor distribution analysis through Finite Element Method (FEM). The analysed natural frequencies and vibration modes of each component provide essential information for fine-tuning resonances away from the assembly's operating speeds. Based on these results, component dimensions are optimized using CATIA's optimizer module to achieve a structurally compact gearbox design. The minimization of gearbox mass serves as an objective function, with gear dimensions as variable parameters constrained by ultimate bending tooth root stress, safety factors, and critical frequencies expressed as inequalities. Structural optimization results are presented in tables, comparing initial natural frequencies with those obtained from the optimized solution. The final optimized design for each gear train component is also presented and discussed in the paper's concluding section. In conclusion, the paper outlines its primary objectives, summarizing key findings and proposing new ideas for further research to enhance and optimize planetary gear transmissions in practical applications.

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Jones, R., P. Chaperon, and M. Heller. "Structural optimisation with fracture strength constraints." Engineering Fracture Mechanics 69, no. 13 (2002): 1403–23. http://dx.doi.org/10.1016/s0013-7944(02)00006-1.

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Jones, R., D. Peng, P. Chaperon, S. Pitt, D. Abramson, and T. Peachey. "Structural optimisation with damage tolerance constraints." Theoretical and Applied Fracture Mechanics 43, no. 1 (2005): 133–55. http://dx.doi.org/10.1016/j.tafmec.2004.12.009.

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Suraweera, NP, and DN Ranasinghe. "Adaptive Structural Optimisation of Neural Networks." International Journal on Advances in ICT for Emerging Regions (ICTer) 1, no. 1 (2009): 33. http://dx.doi.org/10.4038/icter.v1i1.450.

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Fredricson, Harald. "Structural topology optimisation: an application review." International Journal of Vehicle Design 37, no. 1 (2005): 67. http://dx.doi.org/10.1504/ijvd.2005.006089.

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Yang, Nihong. "Methodology of aircraft structural design optimisation." International Journal of Computer Applications in Technology 70, no. 3/4 (2022): 145. http://dx.doi.org/10.1504/ijcat.2022.130874.

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Stefańska, Anna, Klaudia Liszewska, Małgorzata Kurcjusz, Katarzyna Jeleniewicz, and Rohan Raj Das. "GENERATIVE SHAPING IN SEARCH OF MATERIAL AND STRUCTURAL OPTIMISATION OF SMALL STRUCTURAL FORMS." Acta Scientiarum Polonorum. Architectura 22 (January 9, 2024): 138–47. http://dx.doi.org/10.22630/aspa.2023.22.14.

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In the 21st century, the most advanced digital methods have allowed structure design, analysis and multidirectional optimisation based on multiple parameters. Mathematical algorithms based on proportionality requirements enable the software to create an individual solution for the specified boundary conditions. This is particularly interesting from the point of view of prefabrication and material engineering, which is now more often characterised by the idea of post-Fordism, where the desire for unification does not exclude the creative search for individual solutions. The research presented in this paper attempts to answer how parametric designing conducted on bar trusses can be implemented into the optimisation of structural elements. The methodology employed in the study involved using of parametric design tools to create a symmetrical truss model, assess its advantages and challenges, and consider load cases. The information provided in the conclusion highlights the evolution of parametric design – which has not only revolutionised architecture and construction by inspiring unconventional forms, but has also facilitated the optimisation of design processes, offered new design possibilities and enabled effective control over various modelling aspects, confirming its invaluable role in both architecture and construction.

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Gonzalez-Delgado, Daniel, Pablo Jaen-Sola, and Erkan Oterkus. "A Generative Design Approach for the Dynamic Optimisation of Multi-MW Offshore Direct-Drive Wind Turbine Electrical Generator Supporting Structures Using Modal Analysis." Wind 4, no. 2 (2024): 172–89. http://dx.doi.org/10.3390/wind4020009.

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Generative design techniques together with the rapid development of additive manufacturing represent a revolution in the field of structural optimisation processes. In this study, a static structural and modal analysis was integrated to drive a multi-objective generative design optimisation process for a 3 MW direct-drive offshore wind turbine electrical generator rotor structure. This novel optimisation approach implements an automated fittest-for-purpose process including a static structural analysis and a modal analysis as the input for the optimisation strategy algorithm, allowing the exploration of a wide range of non-conventional topologies. If compared with the simple generator rotor disc structure, the results obtained using this innovative method achieved over 7% of weight reduction and a 39% increment in the generator operational range with the consequent growth in the wind turbine energy capture capability. Moreover, this approach generates a vast amount of structural analysis information, crucial at an early stage of the development of large-scale projects for a cost-effective scheme.

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Ket Thein, Chung, and Jing‐Sheng Liu. "Effective structural sizing/shape optimisation through a reliability‐related multifactor optimisation approach." Multidiscipline Modeling in Materials and Structures 8, no. 2 (2012): 159–77. http://dx.doi.org/10.1108/15736101211251194.

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Ait Ouchaoui, A., M. Nassraoui, and B. Radi. "Numerical investigation of the effect of topology optimisation methods parameters in the topology quality, the strength, and the computational cost." Archives of Materials Science and Engineering 123, no. 2 (2023): 55–71. http://dx.doi.org/10.5604/01.3001.0054.2492.

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The literature abounds with many distinct topology optimisation methods, many of which share common parameter configurations. This study demonstrates that alternative parameter configurations may produce better results than common parameters. Additionally, we try to answer two fundamental questions: identifying the most effective topology optimisation method and determining the optimal parameter selection within this optimisation method. In order to respond to these questions, we conducted a comparative and objective analysis of topology optimisation methods.This paper evaluates four prominent topology optimisation methodologies, SIMP, RAMP, BESO, and LSM, based on three essential criteria: structural strength, topology quality, and computational cost. We conducted an in-depth examination of 12,500 topology optimisation results spanning a broad range of critical parameter values. These outcomes were generated using MATLAB codes. In the meantime, we comprehensively compared our findings with the existing literature on this subject.As predicted, our chosen parameters had a substantial effect on the topology quality, structural strength, and computational cost of the topology optimisation outcomes. Across the 12,500 results, many parameter combinations appeared to produce favourable results compared to conventional parameters commonly found in the existing literature.This study focuses exclusively on four specific topology optimisation methods; however, its findings may be extrapolated to apply to other methodologies. Additionally, while it extensively examines the effects of parameters on topology quality, strength, and computational cost, it does not encompass an exploration of these parameters' impacts on other performance criteria.Novel parameter configurations for topology optimisation have been identified, yielding enhanced outcomes in terms of topology quality, structural strength, and computational efficiency.

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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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Dongre, Prof Ganesh, Parag Kshirsagar, Shruti Kulat, Bhargav Kulkarni, Vedant Kulkarni, and Sanket More. "Topology Optimisation of Piston." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2978–83. http://dx.doi.org/10.22214/ijraset.2023.51449.

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Abstract: This research paper presents a comprehensive study on the topology optimization of a piston component manufactured through 3D printing technology. The study employs a combination of SolidWorks and ANSYS software to model and simulate the piston's structural behavior under different loading conditions. The optimized piston design is produced using PLA material through Ultimaker Cura software. The topology optimization process involves defining the design constraints and objectives, which are optimized to produce an optimal design with reduced weight while maintaining the required structural integrity. The paper investigates the effects of different loading conditions on the piston's structural performance and shows how the optimized design can enhance the piston's mechanical properties. The results show that the topology optimization process results in a piston design that reduces weight while maintaining the required strength and performance, thereby enhancing the efficiency of the 3D printing process. The study contributes to the growing body of research on the use of topology optimization in additive manufacturing and provides insights into the practical implementation of this approach in piston design.

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Lorimer, Tobias, and Tom Allen. "Concurrent Multi-Component Optimization of Stiffened-Plate Yacht Structures." Journal of Sailing Technology 7, no. 01 (2022): 203–27. http://dx.doi.org/10.5957/jst/2022.7.10.203.

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Optimisation has become a necessary tool when designing competitive high-performance composite yachts. The inherently complex material characteristics of composite materials mean there must be careful consideration of laminate and structural design to withstand loading and meet efficiency demands. An optimisation scheme has been developed that allows structural engineers to generate globally optimised yacht structures. This paper investigates a more holistic approach to designing large multi-part composite structures using concurrent genetic algorithm optimisation tools, which will allow designers to understand the effect of optimisation on the decision-making and design processes. Specifically, how can better design decisions be influenced by incorporating tools that augment an experientially based complex composite structural design process? The tool developed concurrently optimises laminate architecture and the arrangement of and number of stiffeners that make up a stiffened-plate geometry such as that seen in a typical yacht structure.

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Koumar, Aushim, Tine Tysmans, Rajan Filomeno Coelho, and Niels De Temmerman. "An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm." Applied Computational Intelligence and Soft Computing 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/6843574.

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We developed a fully automated multiobjective optimisation framework using genetic algorithms to generate a range of optimal barrel vault scissor structures. Compared to other optimisation methods, genetic algorithms are more robust and efficient when dealing with multiobjective optimisation problems and provide a better view of the search space while reducing the chance to be stuck in a local minimum. The novelty of this work is the application and validation (using metrics) of genetic algorithms for the shape and size optimisation of scissor structures, which has not been done so far for two objectives. We tested the feasibility and capacity of the methodology by optimising a 6 m span barrel vault to weight and compactness and by obtaining optimal solutions in an efficient way using NSGA-II. This paper presents the framework and the results of the case study. The in-depth analysis of the influence of the optimisation variables on the results yields new insights which can help in making choices with regard to the design variables, the constraints, and the number of individuals and generations in order to obtain efficiently a trade-off of optimal solutions.

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Blumer, Hermann, and Renü Wölfl. "Optimisation of Timber Domes as Structural Forms." Structural Engineering International 10, no. 3 (2000): 185–88. http://dx.doi.org/10.2749/101686600780481491.

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Lewis, W. J. "Form-Finding: An Alternative to Structural Optimisation?" Computational Technology Reviews 11 (September 1, 2015): 121–49. http://dx.doi.org/10.4203/ctr.11.5.

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Proos, K. A., G. P. Steven, O. M. Querin, and Y. M. Xie. "Stiffness and inertia multicriteria evolutionary structural optimisation." Engineering Computations 18, no. 7 (2001): 1031–54. http://dx.doi.org/10.1108/02644400110404028.

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Barthold, F. J. "A structural optimisation viewpoint on growth phenomena." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 2 (2012): 247–52. http://dx.doi.org/10.2478/v10175-012-0033-6.

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Abstract. Evolutionary solid bodies undergoing changes of mass, of properties, and of shapes are considered in models of growth and adaptation and similarily in structural optimisation. A fundamental separation of different growth phenomena and a subsequent parametrisation using independent design variables for the amount of substance as well as for molar mass and molar volume facilitates an efficient formulation of the design space. Thus, the effects of design variations, i.e. change of amount of substance, on the variations of the structural response, i.e. the deformation in physical space, can be clearly described. Overall, a novel treatment of growth processes based on an evolution of the amount of substance is outlined. The parallelism of variations in physical and design space are highlighted and compared with the multiplicative decomposition of the deformation gradient into a growth and an elastic part incorporating an incompatible intermediate configuration. This drawback is overcome by a compatible manifold based on material points modelling the amount of substance outside of any geometrical space.

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Dardenne, Benjamin, and Pierre Latteur. "Structural optimisation of free-swinging agrivoltaic fences." Renewable and Sustainable Energy Reviews 210 (March 2025): 115160. https://doi.org/10.1016/j.rser.2024.115160.

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Querin, O. M., G. P. Steven, and Y. M. Xie. "Evolutionary structural optimisation using an additive algorithm." Finite Elements in Analysis and Design 34, no. 3-4 (2000): 291–308. http://dx.doi.org/10.1016/s0168-874x(99)00044-x.

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Coelho, Pedro G., Luís O. Faria, and João B. Cardoso. "Structural analysis and optimisation of press brakes." International Journal of Machine Tools and Manufacture 45, no. 12-13 (2005): 1451–60. http://dx.doi.org/10.1016/j.ijmachtools.2005.01.030.

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Twu, Sung-Ling, Maolin Tsai, Ramaswamy Subramanian, Robert V. Lust, and M. E. M. El-Sayed. "Structural optimisation with reliability-based durability constraints." International Journal of Vehicle Design 25, no. 1/2 (2001): 115. http://dx.doi.org/10.1504/ijvd.2001.001911.

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Yıldız, Betül Sultan, and Hüseyin Lekesiz. "Fatigue-based structural optimisation of vehicle components." International Journal of Vehicle Design 73, no. 1/2/3 (2017): 54. http://dx.doi.org/10.1504/ijvd.2017.082579.

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Lekesiz, Hüseyin, and Betül Sultan Yıldız. "Fatigue-based structural optimisation of vehicle components." International Journal of Vehicle Design 73, no. 1/2/3 (2017): 54. http://dx.doi.org/10.1504/ijvd.2017.10003398.

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Gavali, S. L., Y. P. Reddy, and K. N. Vijayakumar. "A genetic algorithm-based structural topology optimisation." International Journal of Design Engineering 11, no. 1 (2022): 27. http://dx.doi.org/10.1504/ijde.2022.127072.

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Marti, K. "Stochastic structural optimisation with quadratic loss functions." Computers & Structures 88, no. 23-24 (2010): 1310–21. http://dx.doi.org/10.1016/j.compstruc.2008.12.010.

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Chen, Hao, Chihua Lu, Zhien Liu, Cunrui Shen, and Menglei Sun. "Multi-Response Optimisation of Automotive Door Using Grey Relational Analysis with Entropy Weights." Materials 15, no. 15 (2022): 5339. http://dx.doi.org/10.3390/ma15155339.

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Tail-welded blanks (TWBs) are widely used in automotive bodies to improve the structural performance and reduce weight. The stiffness and modal lightweight design optimisation of TWBs for automotive doors was performed in this study. The finite element model was validated through physical experiments. An L27 (312) Taguchi orthogonal array was used to collect the sample points. The multi-objective optimisation problem was transformed into a single-objective optimisation problem based on the grey relational degree. The optimal combination of structural design parameters was obtained for a tail-welded door using the proposed method, and the weight of the door structure was reduced by 2.83 kg. The proposed optimisation method has fewer iterations and a lower computational cost, enabling the design of lightweight TWBs.

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MERKURYEVA, Galina, and Vitaly BOLSHAKOV. "SIMULATION-BASED FITNESS LANDSCAPE ANALYSIS AND OPTIMISATION OF COMPLEX PROBLEMS." Technological and Economic Development of Economy 21, no. 6 (2015): 899–916. http://dx.doi.org/10.3846/20294913.2015.1107654.

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Widespread hard optimisation problems in economics and logistics are characterised by large dimensions, uncertainty and nonlinearity and require more powerful methods of stochastic optimisation that traditional ones. Simulation optimisation is a powerful tool for solving these problems. Moreover, fitness landscape analysis techniques provide an efficient approach to better selection of a suitable optimisation algorithm. The concept and techniques of fitness landscape analysis are described. A formalised scheme for simulation optimisation enhanced with fitness landscape analysis is given. Benchmark fitness landscape analysis is performed to find relations between efficiency of an optimisation algorithm and structural features of a fitness landscape. Case study in simulation optimisation of vehicle routing and scheduling is described. Various optimisation scenarios with application of the fitness landscape analysis are discussed and investigated.

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Steven, Grant, Osvaldo Querin, and Mike Xie. "Evolutionary structural optimisation (ESO) for combined topology and size optimisation of discrete structures." Computer Methods in Applied Mechanics and Engineering 188, no. 4 (2000): 743–54. http://dx.doi.org/10.1016/s0045-7825(99)00359-x.

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Borase, Pradip Diwan, Vivek Babele, and Girish Kumar Khare. "A Review of Stress Analysis and Advanced FEA Techniques in Automotive Suspension Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem36613.

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The lower control arm (LCA) is an essential component of a vehicle's suspension system, responsible for maintaining stability, improving handling, and enhancing passenger comfort. This paper examines different approaches and findings regarding the stress analysis and optimisation of LCAs using CAD modelling and Finite Element Analysis (FEA). The analysis primarily aims to identify regions with high stress concentration, specifically in very near proximity to the top mounting point. It also examines various optimisation techniques, such as topology and shape optimisation, surrogate modelling, and multi-objective optimisation. Significant studies emphasise the efficacy of these techniques in decreasing weight, enhancing structural strength, and enhancing fatigue resistance. By combining dynamic analysis, material selection, and advanced optimisation methods, substantial enhancements in LCA performance and cost efficiency are attained. This review offers a thorough comprehension of current methodologies and upcoming approaches for enhancing life cycle assessments (LCAs) in automotive suspension systems. Keywords- Lower Control Arm (LCA), Suspension System, Stress Analysis, Finite Element Analysis (FEA), Topology Optimization, Structural Integrity, CAD.

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Duarte, Grasiele Regina, Afonso Celso de Castro Lemonge, and Leonardo Goliatt da Fonseca. "An algorithm inspired by social spiders for truss optimisation problems." Engineering Computations 34, no. 8 (2017): 2767–92. http://dx.doi.org/10.1108/ec-12-2016-0447.

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Purpose The purpose of this paper is to evaluate the performance of social spider algorithm (SSA) to solve constrained structural optimisation problems and to compare its results with others algorithms such as genetic algorithm, particle swarm optimisation, differential evolution and artificial bee colony. Design/methodology/approach To handle the constraints of the problems, this paper couples to the SSA an efficient selection criteria proposed in the literature that promotes a tournament between two solutions in which the feasible or less infeasible solution wins. The discussion is conducted on the competitiveness of the SSA with other algorithms as well as its performance in constrained problems. Findings SSA is a population algorithm proposed for global optimisation inspired by the foraging of social spiders. A spider moves on the web towards the position of the prey, guided by vibrations that occur around it in different frequencies. The SSA was proposed to solve problems without constraints, but these are present in most of practical problems. This paper evaluates the performance of SSA to solve constrained structural optimisation problems and compares its results with other algorithms such as genetic algorithm, particle swarm optimisation, differential evolution and artificial bee colony. Research limitations/implications The proposed algorithm has no limitations, and it can be applied in other classes of constrained optimisation problems. Practical implications This paper evaluated the proposed algorithm with a benchmark of constrained structural optimisation problems intensely used in the literature, but it can be applied to solve real constrained optimisation problems in engineering and others areas. Originality/value This is the first paper to evaluate the performance of SSA in constrained problems and to compare its results with other algorithms traditional in the literature.

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Elelwi, M., T. Calvet, R. M. Botez, and T. M. Dao. "Wing component allocation for a morphing variable span of tapered wing using finite element method and topology optimisation – application to the UAS-S4." Aeronautical Journal 125, no. 1290 (2021): 1313–36. http://dx.doi.org/10.1017/aer.2021.29.

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AbstractThis work presents the Topology Optimisation of the Morphing Variable Span of Tapered Wing (MVSTW) using a finite element method. This topology optimisation aims to assess the feasibility of internal wing components such as ribs, spars and other structural components. This innovative approach is proposed for the telescopic mechanism of the MVSTW, which includes the sliding of the telescopically extended wing into the fixed wing segment. The optimisation is performed using the tools within ANSYS Mechanical, which allows the solving of topology optimisation problems. This study aims to minimise overall structural compliance and maximise stiffness to enhance structural performance, and thus to meet the structural integrity requirements of the MVSTW. The study evaluates the maximum displacements, stress and strain parameters of the optimised variable span morphing wing in comparison with those of the original wing. The optimised wing analyses are conducted on four wingspan extensions, that is, 0%, 25%, 50% and 75%, of the original wingspan, and for different flight speeds to include all flight phases (17, 34, 51 and 68m/s, respectively). Topology optimisation is carried out on the solid wing built with aluminium alloy 2024-T3 to distribute the wing components within the fixed and moving segments. The results show that the fixed and moving wing segments must be designed with two spar configurations, and seven ribs with their support elements in the high-strain area. The fixed and moving wing segments’ structural weight values were reduced to 16.3 and 10.3kg from 112 to 45kg, respectively. The optimised MVSTW was tested using different mechanical parameters such as strains, displacements and von Misses stresses. The results obtained from the optimised variable span morphing wing show the optimal mechanical behaviour and the structural wing integrity needed to achieve the multi-flight missions.

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Otomori, M., T. Yamada, K. Izui, and S. Nishiwaki. "Level set-based topology optimisation of a compliant mechanism design using mathematical programming." Mechanical Sciences 2, no. 1 (2011): 91–98. http://dx.doi.org/10.5194/ms-2-91-2011.

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Abstract. We propose a structural optimisation method, based on the level set method and using mathematical programming such as the method of moving asymptotes (MMA), which we apply to the design of compliant mechanisms. A compliant mechanism is a monolithic joint-free mechanism designed to be flexible to obtain a specified motion. In the design of compliant mechanisms, several requirements such as the direction of the deformation and stress concentrations must be considered to obtain the specified mechanical function. Topology optimisation, the most flexible type of structural optimisation, has been successfully used as a design optimisation method for compliant mechanisms, but the utility of topology optimisation results is often spoiled by a plethora of impractical designs such as structures containing grayscale areas. Level set-based topology optimisation methods are immune to the problem of grayscales since the boundaries of the optimal configuration are implicitly represented using the level set function. The proposed method updates the level set function using mathematical programming to facilitate the treatment of constraint functionals. To verify its capability, we apply our method to compliant mechanism design problems that include displacement constraints and stress constraints.

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Grekavicius, Lukas, Jack Antony Hughes, Konstantinos Daniel Tsavdaridis, and Evangelos Efthymiou. "Novel Morphologies of Aluminium Cross-Sections through Structural Topology Optimization Techniques." Key Engineering Materials 710 (September 2016): 321–26. http://dx.doi.org/10.4028/www.scientific.net/kem.710.321.

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In the last decades, the deployment of aluminium and its alloys in civil engineering fields has been increased significantly, due to the material’s special features accompanied by supportive technological and industrial development. However, the extent of aluminium structural applications in building activities is still rather limited and barriers related to strength and stability issues prevent its wider use. In the context of the extrusion characteristic, appropriate design in aluminium cross-sections can overcome inherent deficiencies, such as the material’s low elastic modulus.This paper investigates a new breed of cross-sectional design for aluminium members employing pioneering structural topology optimisation techniques. Topology optimisation problems utilise the firmest mathematical basis, to account for improved weight-to-stiffness ratio and perceived aesthetic appeal of specific structural forms. The current study investigates the application of structural topology optimisation to the design of aluminium beam and column cross-sections. Through a combination of 2D and 3D approaches, with a focus on post-processing and manufacturability, ten unique cross-sectional profiles are proposed. Additionally, the variation of cross-section along the member is also investigated in order to identify correlation between 2D and 3D topology optimisation results. Conclusions attempt to highlight the advantageous characteristics of aluminium use as well as the potential benefits to the more widespread implementation of topology optimization within the utilization of aluminium in civil/structural engineering.

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Stojanov, Daniel, Brian G. Falzon, Xin Hua Wu, and Wen Yi Yan. "An Application of Bi-Directional Evolutionary Structural Optimisation for Optimising Energy Absorbing Structures Using a Material Damage Model." Applied Mechanics and Materials 553 (May 2014): 836–41. http://dx.doi.org/10.4028/www.scientific.net/amm.553.836.

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The Bi-directional Evolutionary Structural Optimisation (BESO) method is a numerical topology optimisation method developed for use in finite element analysis. This paper presents a particular application of the BESO method to optimise the energy absorbing capability of metallic structures. The optimisation objective is to evolve a structural geometry of minimum mass while ensuring that the kinetic energy of an impacting projectile is reduced to a level which prevents perforation. Individual elements in a finite element mesh are deleted when a prescribed damage criterion is exceeded. An energy absorbing structure subjected to projectile impact will fail once the level of damage results in a critical perforation size. It is therefore necessary to constrain an optimisation algorithm from producing such candidate solutions. An algorithm to detect perforation was implemented within a BESO framework which incorporated a ductile material damage model.

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Rodríguez Calderón, Wilson, and Myriam Rocío Pallares Muñoz. "Using optimisation for calibrating finite element models for adobe walls." Ingeniería e Investigación 29, no. 2 (2009): 10–19. http://dx.doi.org/10.15446/ing.investig.v29n2.15155.

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This paper presents a proposal for applying optimisation schemes to calibrating 3D linear and non-linear finite element models for analysing structural walls made out of adobe. The calibration was based on laboratory data and that from previous research. Simulation and calibration involves a deep study of the conceptual model of adobe’s structural behaviour, mathematical and numerical models and the interrelationship with optimisation schemes arising from minimising an objective function. This is defined in terms of design variables and is restricted by the values of state variables. Both were obtained from the finite element model developed at ANSYS. The optimisation scheme with which the model was automatically calibrated required a macro to be programmed using an APDL language package. This research was aimed at implementing nonlinear computational models for the structural analysis of walls based on experimental data; this provided a tool for assessing the behaviour of adobe walls with greater security so that decisions can be made to make structural rehabilitation feasible and efficient.

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Jiao, Yuhang. "A Critical Review of Structural Topology Optimization Algorithms." E3S Web of Conferences 606 (2025): 04005. https://doi.org/10.1051/e3sconf/202560604005.

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In the past 30 years , the field of structural topology optimization has developed rapidly, and many representative algorithms such as homogenization algorithm, solid isotropic material with penalization algorithms and evolutionary structural optimization algorithms have emerged. In this paper, the above three representative algorithms’ principles and development history are briefly introduced. Secondly, with the classic example of long cantilever beams, the three methods are compared in all aspects of the optimisation process, and their similarities and differences in terms of optimisation objectives, constraints, and characteristics of the results are analysed. Finally, the above algorithms are summarized, and their advantages, disadvantages and applicable scenarios are listed, which will provide reference for future designers to a certain extent.

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