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Journal articles on the topic 'Structural topology/design'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Min, Seung Jae, and Seung Hyun Bang. "Structural Topology Design Considering Reliability." Key Engineering Materials 297-300 (November 2005): 1901–6. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.1901.

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In the design optimization process design variables are selected in the deterministic way though those have uncertainties in nature. To consider variances in design variables reliability-based design optimization problem is formulated by introducing the probability distribution function. The concept of reliability has been applied to the topology optimization based on a reliability index approach or a performance measure approach. Since these approaches, called double-loop singlevariable approach, requires the nested optimization problem to obtain the most probable point in the probabilistic design domain, the time for the entire process makes the practical use infeasible. In this work, new reliability-based topology optimization method is proposed by utilizing single-loop singlevariable approach, which approximates searching the most probable point analytically, to reduce the time cost and dealing with several constraints to handle practical design requirements. The density method in topology optimization including SLP (Sequential Linear Programming) algorithm is implemented with object-oriented programming. To examine uncertainties in the topology design of a structure, the modulus of elasticity of the material and applied loadings are considered as probabilistic design variables. The results of a design example show that the proposed method provides efficiency curtailing the time for the optimization process and accuracy satisfying the specified reliability.

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2

Lewiński, T., S. Czarnecki, G. Dzierżanowski, and T. Sokół. "Topology optimization in structural mechanics." Bulletin of the Polish Academy of Sciences: Technical Sciences 61, no. 1 (March 1, 2013): 23–37. http://dx.doi.org/10.2478/bpasts-2013-0002.

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Abstract Optimization of structural topology, called briefly: topology optimization, is a relatively new branch of structural optimization. Its aim is to create optimal structures, instead of correcting the dimensions or changing the shapes of initial designs. For being able to create the structure, one should have a possibility to handle the members of zero stiffness or admit the material of singular constitutive properties, i.e. void. In the present paper, four fundamental problems of topology optimization are discussed: Michell’s structures, two-material layout problem in light of the relaxation by homogenization theory, optimal shape design and the free material design. Their features are disclosed by presenting results for selected problems concerning the same feasible domain, boundary conditions and applied loading. This discussion provides a short introduction into current topics of topology optimization

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3

Jakiela, Mark J., Colin Chapman, James Duda, Adenike Adewuya, and Kazuhiro Saitou. "Continuum structural topology design with genetic algorithms." Computer Methods in Applied Mechanics and Engineering 186, no. 2-4 (June 2000): 339–56. http://dx.doi.org/10.1016/s0045-7825(99)00390-4.

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4

Li, Qing, Grant P. Steven, Osvaldo M. Querin, and Y. M. Xie. "Structural topology design with multiple thermal criteria." Engineering Computations 17, no. 6 (September 2000): 715–34. http://dx.doi.org/10.1108/02644400010340642.

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5

Lee, Eun-Hyung, and Jaegyun Park. "Structural design using topology and shape optimization." Structural Engineering and Mechanics 38, no. 4 (May 25, 2011): 517–27. http://dx.doi.org/10.12989/sem.2011.38.4.517.

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6

Zhu, Ji-Hong, Yu Li, Wei-Hong Zhang, and Jie Hou. "Shape preserving design with structural topology optimization." Structural and Multidisciplinary Optimization 53, no. 4 (November 28, 2015): 893–906. http://dx.doi.org/10.1007/s00158-015-1364-3.

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7

Chapman, C. D., and M. J. Jakiela. "Genetic Algorithm-Based Structural Topology Design With Compliance and Topology Simplification Considerations." Journal of Mechanical Design 118, no. 1 (March 1, 1996): 89–98. http://dx.doi.org/10.1115/1.2826862.

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The genetic algorithm (GA), an optimization technique based on the theory of natural selection, is applied to structural topology design problems. After reviewing the genetic algorithm and previous research in structural topology optimization, we detail the chromosome-to-design representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article first compares our genetic-algorithm-based technique with homogenization methods in the minimization of a structure’s compliance subject to a maximum volume constraint. We then use our technique to generate topologies combining high structural performance with a variety of material connectivity characteristics which arise directly from our discretized design representation. After discussing our findings, we describe potential future work.

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8

Xiong, Yulin, Dingwen Bao, Xin Yan, Tao Xu, and Yi Min Xie. "Lessons Learnt from a National Competition on Structural Optimization and Additive Manufacturing." Current Chinese Science 1, no. 1 (December 23, 2020): 151–59. http://dx.doi.org/10.2174/2666001601999201006191103.

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Background:: As an advanced design technique, topology optimization has received much attention over the past three decades. Topology optimization aims at finding an optimal material distribution in order to maximize the structural performance while satisfying certain constraints. It is a useful tool for the conceptional design. At the same time, additive manufacturing technologies have provided unprecedented opportunities to fabricate intricate shapes generated by topology optimization. Objective:: To design a highly efficient structure using topology optimization and to fabricate it using additive manufacturing. Method:: The bi-directional evolutionary structural optimization (BESO) technique provides the conceptional design, and the topology-optimized result is post-processed to obtain smooth structural boundaries. Results:: We have achieved a highly efficient and elegant structural design which won the first prize in a national competition in China on design optimization and additive manufacturing. Conclusion:: In this paper, we present an effective topology optimization approach to maximize the structural load-bearing capacity and establish a procedure to achieve efficient and elegant structural designs. : In the loading test of the final competition, our design carried the highest loading and won the first prize in the competition, which demonstrates the capability of BESO in engineering applications.

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9

Jaafer, Abdulkhaliq A., Mustafa Al-Bazoon, and Abbas O. Dawood. "Structural Topology Design Optimization Using the Binary Bat Algorithm." Applied Sciences 10, no. 4 (February 21, 2020): 1481. http://dx.doi.org/10.3390/app10041481.

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In this study, the binary bat algorithm (BBA) for structural topology optimization is implemented. The problem is to find the stiffest structure using a certain amount of material and some constraints using the bit-array representation method. A new filtering algorithm is proposed to make BBA find designs with no separated objects, no checkerboard patterns, less unusable material, and higher structural performance. A volition penalty function for topology optimization is also proposed to accelerate the convergence toward the optimal design. The main effect of using the BBA lies in the fact that the BBA is able to handle a large number of design variables in comparison with other well-known metaheuristic algorithms. Based on the numerical results of four benchmark problems in structural topology optimization for minimum compliance, the following conclusions are made: (1) The BBA with the proposed filtering algorithm and penalty function are effective in solving large-scale numerical topology optimization problems (fine finite elements mesh). (2) The proposed algorithm produces solid-void designs without gray areas, which makes them practical solutions that are applicable in manufacturing.

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10

Wang, Yong, Guo Niu Zhu, and Zheng Wei Zhu. "Structural Topology Optimization for Street Lamp Bracket." Key Engineering Materials 464 (January 2011): 655–59. http://dx.doi.org/10.4028/www.scientific.net/kem.464.655.

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Structural topology optimization has got a general acceptance in recent years in mechanical design due to its powerful technique for conceptual design. The shortcoming of current development process of mechanical design is discussed and a new approach with structural topology optimization is put forward. The application of the method demonstrates that through innovative utilization of the topology optimization techniques, a multitude of conceptual design proposals based on the design space and design targets can be obtained and then a CAD model with high quality which has a positive impact on the development process is also available.

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11

Zuo, Kong-Tian, Li-Ping Chen, Yun-Qing Zhang, and Jingzhou Yang. "A hybrid topology optimization algorithm for structural design." Engineering Optimization 37, no. 8 (December 2005): 849–66. http://dx.doi.org/10.1080/03052150500323856.

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12

Bremicker, M., M. Chirehdast, N. Kikuchi, and P. Y. Papalambros. "Integrated Topology and Shape Optimization in Structural Design∗." Mechanics of Structures and Machines 19, no. 4 (January 1991): 551–87. http://dx.doi.org/10.1080/08905459108905156.

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13

TSUDA, Akari, Nozomu KOGISO, Takayuki YAMADA, Kazuhiro IZUI, and Shinji NISHIWAKI. "Morphing Wing Structural Design Using Topology Optimization Method." Proceedings of OPTIS 2016.12 (2016): 1206. http://dx.doi.org/10.1299/jsmeoptis.2016.12.1206.

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14

Wang, Cunfu, Min Zhao, and Tong Ge. "Structural topology optimization with design-dependent pressure loads." Structural and Multidisciplinary Optimization 53, no. 5 (December 10, 2015): 1005–18. http://dx.doi.org/10.1007/s00158-015-1376-z.

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15

Mizobuti, Vinicius, and Luiz C. M. Vieira Junior. "Bioinspired architectural design based on structural topology optimization." Frontiers of Architectural Research 9, no. 2 (June 2020): 264–76. http://dx.doi.org/10.1016/j.foar.2019.12.002.

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16

Olhoff, Niels, Martin P. Bendsøe, and John Rasmussen. "On CAD-integrated structural topology and design optimization." Computer Methods in Applied Mechanics and Engineering 89, no. 1-3 (August 1991): 259–79. http://dx.doi.org/10.1016/0045-7825(91)90044-7.

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17

Lee, Edmund, and Joaquim R. R. A. Martins. "Structural topology optimization with design-dependent pressure loads." Computer Methods in Applied Mechanics and Engineering 233-236 (August 2012): 40–48. http://dx.doi.org/10.1016/j.cma.2012.04.007.

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18

Lee, Ting-Uei, and Yi Min Xie. "Simultaneously optimizing supports and topology in structural design." Finite Elements in Analysis and Design 197 (December 2021): 103633. http://dx.doi.org/10.1016/j.finel.2021.103633.

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19

Yang, Rui, Yang Liu, and Liang Zhou. "A Topology Optimization Method in Fuselage Flutter Model Design." Advanced Materials Research 199-200 (February 2011): 1297–302. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.1297.

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Airplane flutter scale model should maintain the load transfer characteristics of the original structure. It is a structural inverse problem for proper natural frequencies as well as structural simplification. This inverse problem could be solved by topology optimization. So based on bi-direction evolutionary structural optimization (BESO) method, a topology method for designing fuselage flutter model is presented. Facing porous and irregular shape often appears in topology optimization, a regular shaped grid frame structure consisted of the finite elements is discussed, including its internal mapping relationship and boundary conditions. The ratio criterion for structural modification is raised in this structural topology optimization using frequency sensitivity. Finally, this topology optimization method is applied to cylindrical fuselage flutter model design, result shown that the proposed approach is feasible to achieve given natural frequencies, maintains the character of inner frame structure completely, and the similarity between optimized structure and original structure is achieved.

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20

Yildiz, Ali Riza. "Optimal Structural Design of Vehicle Components Using Topology Design and Optimization." Materials Testing 50, no. 4 (April 2008): 224–28. http://dx.doi.org/10.3139/120.100880.

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21

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 (February 27, 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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22

Chapman, C. D., K. Saitou, and M. J. Jakiela. "Genetic Algorithms as an Approach to Configuration and Topology Design." Journal of Mechanical Design 116, no. 4 (December 1, 1994): 1005–12. http://dx.doi.org/10.1115/1.2919480.

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The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to problems of structural topology design. An overview of the genetic algorithm will first describe the genetics-based representations and operators used in a typical genetic algorithm search. Then, a review of previous research in structural optimization is provided. A discretized design representation, and methods for mapping genetic algorithm “chromosomes” into this representation, is then detailed. Several examples of genetic algorithm-based structural topology optimization are provided: we address the optimization of cantilevered plate topologies, and we investigate methods for optimizing finely-discretized design domains. The genetic algorithm’s ability to find families of highly-fit designs is also examined. Finally, a description of potential future work in genetic algorithm-based structural topology optimization is offered.

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23

Chirehdast, M., H. C. Gea, N. Kikuchi, and P. Y. Papalambros. "Structural Configuration Examples of an Integrated Optimal Design Process." Journal of Mechanical Design 116, no. 4 (December 1, 1994): 997–1004. http://dx.doi.org/10.1115/1.2919510.

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Structural optimization procedures usually start from a given design topology and vary proportions or boundary shapes of the design to achieve optimality of an objective under various constraints. This article presents examples of the application of a novel approach for initiating formal structural optimization at an earlier stage, where the design topology is rigorously generated. A three-phase design process is used. In Phase I, an optimal initial topology is created by a homogenization method as a gray-scale image. In Phase II, the image is transformed to a realizable design using computer vision techniques. In Phase III, the design is parameterized and treated in detail by conventional size and shape optimization techniques. Fully-automated procedures for optimization of two-dimensional solid structures are outlined, and several practical design problems for this type of structures are solved using the proposed procedure, including a crane hook and a bicycle frame.

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24

Ma, Zheng-Dong, Noboru Kikuchi, Christophe Pierre, and Basavaraju Raju. "Multidomain Topology Optimization for Structural and Material Designs." Journal of Applied Mechanics 73, no. 4 (October 5, 2005): 565–73. http://dx.doi.org/10.1115/1.2164511.

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A multidomain topology optimization technique (MDTO) is developed, which extends the standard topology optimization method to the realm of more realistic engineering design problems. The new technique enables the effective design of a complex engineering structure by allowing the designer to control the material distribution among the subdomains during the optimal design process, to use multiple materials or composite materials in the various subdomains of the structure, and to follow a desired pattern or tendency for the material distribution. A new algorithm of Sequential Approximate Optimization (SAO) is proposed for the multidomain topology optimization, which is an enhancement and a generalization of previous SAO algorithms (including Optimality Criteria and Convex Linearization methods, etc.). An advanced substructuring method using quasi-static modes is also introduced to condense the nodal variables associated with the multidomain topology optimization problem, especially for the nondesign subdomains. The effectiveness of the new MDTO approach is demonstrated for various design problems, including one of “structure-fixture simultaneous design,” one of “functionally graded material design,” and one of “crush energy management.” These case studies demonstrate the potential significance of the new capability developed for a wide range of engineering design problems.

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25

YANG, Rui. "Topology Optimization for Structural Design of Fuselage Flutter Model." Journal of Mechanical Engineering 47, no. 11 (2011): 59. http://dx.doi.org/10.3901/jme.2011.11.059.

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26

Park, Young-Oh, and Seung-Jae Min. "Structural Topology Design Using Compliance Pattern Based Genetic Algorithm." Transactions of the Korean Society of Mechanical Engineers A 33, no. 8 (August 1, 2009): 786–92. http://dx.doi.org/10.3795/ksme-a.2009.33.8.786.

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27

TSUDA, Akari, Nozomu KOGISO, Takayuki YAMADA, Kazuhiro IZUI, Shinji NISHIWAKI, and Masato TAMAYAMA. "A Morphing Wing Structural Design Using Topology Optimization Method." Proceedings of the Transportation and Logistics Conference 2017.26 (2017): 1020. http://dx.doi.org/10.1299/jsmetld.2017.26.1020.

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28

OKUMOTO, Yasuhisa, and Takayuki KONISHI. "1108 Structural Design of Steering Knuckle Using Topology Optimization." Proceedings of Conference of Chugoku-Shikoku Branch 2009.47 (2009): 373–74. http://dx.doi.org/10.1299/jsmecs.2009.47.373.

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29

Claessens, Dennis P. H., Sjonnie Boonstra, and Hèrm Hofmeyer. "Spatial zoning for better structural topology design and performance." Advanced Engineering Informatics 46 (October 2020): 101162. http://dx.doi.org/10.1016/j.aei.2020.101162.

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30

Kurdi, Mohammad. "A Structural Optimization Framework for Multidisciplinary Design." Journal of Optimization 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/345120.

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This work describes the development of a structural optimization framework adept at accommodating diverse customer requirements. The purpose is to provide a framework accessible to the optimization research analyst. The framework integrates the method of moving asymptotes into the finite element analysis program (FEAP) by exploiting the direct interface capability in FEAP. Analytic sensitivities are incorporated to provide a robust and efficient optimization search. User macros are developed to interface the design algorithm and analytic sensitivity with the finite element analysis program. To test the optimization tool and sensitivity calculations, three sizing and one topology optimization problems are considered. In addition, flutter analysis of a heated panel is analyzed as an example of coupling to nonstructural discipline. In sizing optimization, the calculated semianalytic sensitivities match analytic and finite difference calculations. Differences between analytic designs and numerical ones are less than 2.0% and are attributed to discrete nature of finite elements. In the topology problem, quadratic elements are found robust at resolving checkerboard patterns.

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31

Wu, Yong Hai. "Optimization Design of Vehicle Frame Based on ANSYS." Advanced Materials Research 590 (November 2012): 341–45. http://dx.doi.org/10.4028/www.scientific.net/amr.590.341.

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A special vehicle frame as the research object, its topology optimization mathematical model and its algorithm is established based on variable density method. Topology optimization method of continuum structures is applied to the frame structural design of this special vehicle using Optistruct solver. Take the least flexibility of frame as design goal; topology optimization design of frame structure was carried under the condition of flexure, torsion and flexure-torsion. New structural model of frame was determined according to results of topology optimization and engineering experience. The calculation of the stress, deformation and the volume for optimization results was conducted with ANSYS software, and compared with the data before optimization. The results showed that the safety performance of optimized frame improved, and the weight reduced.

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32

Tomšič, Pavel, and Jože Duhovnik. "Simultaneous Topology and Size Optimization of 2D and 3D Trusses Using Evolutionary Structural Optimization with regard to Commonly Used Topologies." Advances in Mechanical Engineering 6 (January 1, 2014): 864807. http://dx.doi.org/10.1155/2014/864807.

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One of many optimization techniques is the evolutionary structural optimization (ESO), based on the idea that an optimal structure can be achieved by gradually removing ineffectively used materials from the design domain. Production of a multistage optimization is often proposed to reach the best overall solution. In the first stage, the structure is optimized according to a topology criterion, and, in the second stage, sizing optimization is carried out. The efficiency of such an approach is questionable as a fixed topology, for the second stage optimization may not be the most favorable before sizing optimization is carried out. In this paper, the simultaneous topology and size optimization of trusses using the ESO algorithm are discussed. A number of numerical examples are presented to research capacity to achieve optimal solutions for a structural problem. The topology design of the initial design domain is based on commonly used designs for multistorey trusses constructed from straight members. Therefore, the cases are of a slender shape and made from a combination of presented internal designs. The case studies will present an evaluation to show whether the described optimization approach can be beneficial in structural design for the purpose of steel framework designs.

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33

Rozvany, G. I. N. "Topology optimization in structural mechanics." Structural and Multidisciplinary Optimization 21, no. 2 (April 2001): 89. http://dx.doi.org/10.1007/s001580050173.

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34

Ha, Yoondo, Woojong Kim, and Seonho Cho. "Design Sensitivity Analysis and Topology Optimization Method Applied to Stiffener Layout in Hull Structures." Journal of Ship Research 50, no. 03 (September 1, 2006): 222–30. http://dx.doi.org/10.5957/jsr.2006.50.3.222.

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A continuum-based design sensitivity analysis (DSA) method is developed for threedimensional Mindlin plate structures. The first-order variations of energy form, load form, and structural responses with respect to nonshape design variables are derived. An adjoint variable method is employed because of its computational efficiency, especially with respect to problems where there are many design variables but only a few performance measures. The developed DSA method is utilized with the topology optimization method by using a density approach, which yields an optimal structural layout for the required structural performances. For the numerical implementation, a finite element method, the developed DSA method, and a gradient-based topology optimization method are integrated into a unified and automated framework. The developed topology optimization method is applied to the numerical models of stringer and cargo hold to find the optimal layout of stiffeners. Comparing the existing and optimal designs, significant improvements in the displacement and Von Mises stress distributions are observed. The results show that the topology optimization method can be used as a useful tool for determining a suitable layout of stiffeners in the early stage of hull structural design.

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35

Li, Jia Chun, Wen Te Tu, Xu Dong Yang, Jian Fu, and Yong Tao Wang. "Heat Conduction Structural Topology Optimization Based on RAMP." Applied Mechanics and Materials 52-54 (March 2011): 1692–97. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1692.

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Based on topology optimization techniques of structural mechanics, an effective method for solving the structural design problems of heat transfer is presented in this paper. The topology optimization model of heat conduction is then constructed and the corresponding Optimization Criteria based on density approach is inferred to solve the optimal heat conduction equation of temperature field. A Filtering technique is employed in density field to eliminate numerical instabilities in the process of topology optimization. Some numerical examples are presented to demonstrate the accuracy and the applicability of the present method, theory and algorithm. This research provides a new idea and an access to the structural topology optimization design of temperature field, and is of good engineering application value.

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Zhou, Hui, Gang Yan Li, Yuan Zhang, and Le Li. "Structure Topology Optimization Design for Compression Box of Horizontal Preloading Domestic Waste Transfer Station." Applied Mechanics and Materials 475-476 (December 2013): 1382–86. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.1382.

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Horizontal preloading domestic waste transfer station is the core equipment for domestic waste disposal. Compression equipment is the elementary equipment of horizontal preloading domestic waste transfer station, which should be ensured its mechanical properties and structural lightweight. According to the compression box structure in this paper, structural topology optimization model is established. By using HyperWorks software, the result of structural topology optimization result of compression box is obtained. Based on the result of topology optimization, the structural improvement design model of compression box is established, and the number, location, size of strengthening rib for bottom plate, top plate, side plate are optimal designed so as to realize structural lightweight.

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Sun, Jian Xiang, Ye Yang, and Jing Yi Tian. "Structural Topology Optimization for Improvements of some Shell Structures' Rib Design Process." Applied Mechanics and Materials 385-386 (August 2013): 1927–32. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1927.

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In order to overcome the shortcoming of traditional mathematical model of topology optimization which aims to the continuum structures, a new implementation combined with TOSCA Structure software is presented. To examine the accuracy of optimal topology of this kind of structural, the programming scheme for the conceptual design of one shell structure using topological optimization approaches is set firstly, then build up a new topology optimization design method of the shell structure rib model. Through the FE simulation calculations from Project 1 to Project 4, different improvement results of maximum displacements are obtained. These results demonstrate the validity and reliability of the method.

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38

Rong, Jian Hua, Wei Xiang Li, and Bing Feng. "A Structural Topological Optimization Method Based on Varying Displacement Limits and Design Space Adjustments." Advanced Materials Research 97-101 (March 2010): 3609–16. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3609.

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In the proposed topology optimization method, the whole optimization process is divided into two phases. Firstly，an optimization model dealing with varying displacement limits and design space adjustment approaches， after the combination of structural discrete topology variable condition and the original objective， are built. Secondly，incorporating smooth optimization algorithm，a procedure is proposed to solve the optimization problem of the first optimization adjustment phase. This design space adjustment capability is automatic when the design domain needs expansion or reduction, and it will not affect the property of mathematical programming method convergences. The structural topology approaches to the vicinity of the optimum topology when the first optimization adjustment phase ends. Then, a heuristic algorithm is given to make the topology of the design structure be of solid/empty property and the optimum topology is obtained during the second optimization adjustment phase. The simulation shows that the topologies obtained by the proposed method are of very good 0-1 distribution property, the proposed method is robust and efficient.

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39

Xu, Wu Jiao, Lei Zhang, and Wu Hua Li. "Structure Design of Stamping Die Based on Topology Optimization and Shape Optimization." Advanced Materials Research 774-776 (September 2013): 172–75. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.172.

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To quantitatively analyze the structural topology and control the elastic deformation of die structure in stamping, a new die structure design method was proposed. The forming analysis was conducted based on the die surface mesh generated in the third-party software. Structural analysis models were established according to the die surface mesh and deformation resistance obtained from forming analysis results. And then, the structure analysis and optimization were carried out. This new method for structure design of stamping die has two advantages. First one is the combination of forming analysis and structure analysis makes the structural optimization procedure more practical. Secondly, the coupling of topology optimization and shape optimization makes it possible to fundamentally change the structural topology and it is a new attempt to mold design.

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40

Nowak, M. "Improved aeroelastic design through structural optimization." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 2 (October 1, 2012): 237–40. http://dx.doi.org/10.2478/v10175-012-0031-8.

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Abstract. The paper presents the idea of coupled multiphysics computations. It shows the concept and presents some preliminary results of static coupling of structural and fluid flow codes as well as biomimetic structural optimization. The model for the biomimetic optimization procedure was the biological phenomenon of trabecular bone functional adaptation. Thus, the presented structural bio-inspired optimization system is based on the principle of constant strain energy density on the surface of the structure. When the aeroelastic reactions are considered, such approach allows fulfilling the mechanical theorem for the stiffest design, comprising the optimizations of size, shape and topology of the internal structure of the wing.

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Shih, Chien Jong, and Kuang You Chen. "Topological Optimum Design Considering Stress Constraint Using Approximate Function." Key Engineering Materials 419-420 (October 2009): 25–28. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.25.

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This paper presents an integrated process of structural topology optimization in minimizing both compliance and structural weight. The material volume fraction acts an additional design variable subjected to the empirical approximate stress constraint in terms of material volume fraction. This explicitly approximate function can provide a convenient way to calculate its gradient information for numerical optimization. An engineer does not require advanced topology optimization and superior finite element technique in applying proposed method.

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Jiang, T., and M. Chirehdast. "A Systems Approach to Structural Topology Optimization: Designing Optimal Connections." Journal of Mechanical Design 119, no. 1 (March 1, 1997): 40–47. http://dx.doi.org/10.1115/1.2828787.

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In this paper, structural topology optimization is extended to systems design. Locations and patterns of connections in a structural system that consists of multiple components strongly affect its performance. Topology of connections is defined, and a new classification for structural optimization is introduced that includes the topology optimization problem for connections. A mathematical programming problem is formulated that addresses this design problem. A convex approximation method using analytical gradients is used to solve the optimization problem. This solution method is readily applicable to large-scale problems. The design problem presented and solved here has a wide range of applications in all areas of structural design. The examples provided here are for spot-weld and adhesive bond joints. Numerous other potential applications are suggested.

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Muslimin, Rizal. "Parametric, grammatical, and perceptual iterations on structural design synthesis." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 32, no. 3 (May 28, 2018): 269–81. http://dx.doi.org/10.1017/s0890060417000580.

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AbstractThis paper presents a computational design method to analyze and synthesize representation mechanisms in structural design. The role of shape grammar schemas in analyzing parametric and grammatical structural analysis is discussed, and a set of schema to generate novel structural topology is provided.

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Du, Yi Xian, Wei Wang, Qi Hua Tian, and Jin Run Hu. "Research on Techniques of Structural Topology Optimization Using Cellular Automaton." Advanced Materials Research 308-310 (August 2011): 987–93. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.987.

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By integrating cellular automaton (CA) theory into topology optimization of continuum, the local rule is defined for sensitivity analysis and updating of the design variable, according to the analysis of the structural mechanical response. Topology optimization design of loaded structure is conducted using minimal compliance as the optimization objective. The optimal distribution of material in the design domain is finally obtained. Comparing to other algorithms, the local rule has proved to be computationally efficient to solve structural topology optimization problems. The resulting optimal structures are free of numerical instabilities such as the checkerboard patterns and mesh dependency.

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Bureerat, Sujin, and Jumlong Limtragool. "Structural topology optimisation using simulated annealing with multiresolution design variables." Finite Elements in Analysis and Design 44, no. 12-13 (August 2008): 738–47. http://dx.doi.org/10.1016/j.finel.2008.04.002.

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Tong, Liyong, and Jiangzi Lin. "Structural topology optimization with implicit design variable—optimality and algorithm." Finite Elements in Analysis and Design 47, no. 8 (August 2011): 922–32. http://dx.doi.org/10.1016/j.finel.2011.03.004.

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Moothedath, Shana, Prasanna Chaporkar, and Madhu N. Belur. "Optimal Network Topology Design in Composite Systems for Structural Controllability." IEEE Transactions on Control of Network Systems 7, no. 3 (September 2020): 1164–75. http://dx.doi.org/10.1109/tcns.2020.2966670.

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Tsavdaridis, Konstantinos Daniel, Evangelos Efthymiou, Alikem Adugu, Jack A. Hughes, and Lukas Grekavicius. "Application of structural topology optimisation in aluminium cross-sectional design." Thin-Walled Structures 139 (June 2019): 372–88. http://dx.doi.org/10.1016/j.tws.2019.02.038.

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TAKEZAWA, Akihiro, Shinji NISHIWAKI, and Mitsuru KITAMURA. "Topology Optimization for Structural Design of Transducers Using Strain Gauges." Transactions of the Japan Society of Mechanical Engineers Series A 74, no. 747 (2008): 1459–68. http://dx.doi.org/10.1299/kikaia.74.1459.

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Lee, Dongkyu, Soomi Shin, and Sungsoo Park. "Computational Morphogenesis Based Structural Design by Using Material Topology Optimization." Mechanics Based Design of Structures and Machines 35, no. 1 (February 21, 2007): 39–58. http://dx.doi.org/10.1080/15397730601180756.

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