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Journal articles on the topic 'Structural Optimisation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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 ge

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2

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 optim

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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 provid

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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

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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 it

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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 interde

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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 con

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9

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

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10

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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11

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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12

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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13

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, com

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14

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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15

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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16

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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17

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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18

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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19

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.2022.10056022.

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20

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 i

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21

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 expl

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22

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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23

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

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24

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 th

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25

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 stru

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26

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 desig

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27

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

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28

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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29

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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30

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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31

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,

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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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33

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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34

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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35

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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36

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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37

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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38

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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39

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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40

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-w

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41

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. Bench

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42

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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43

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, a

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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

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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 m

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46

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, h

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47

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 i

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48

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

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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

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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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Abstract:

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 ob

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