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Journal articles on the topic 'Structural optimization. Structural design. Topology'

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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 d
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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 (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 relax
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Nowak, M. "Improved aeroelastic design through structural optimization." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 2 (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
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4

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

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5

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 (2015): 893–906. http://dx.doi.org/10.1007/s00158-015-1364-3.

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6

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
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7

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

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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 (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 ad
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9

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
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10

Jaafer, Abdulkhaliq A., Mustafa Al-Bazoon, and Abbas O. Dawood. "Structural Topology Design Optimization Using the Binary Bat Algorithm." Applied Sciences 10, no. 4 (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 tha
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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 (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 (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 (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 (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 (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

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
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19

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 (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
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20

Zhu, Ji-Hong, and Wei-Hong Zhang. "Structural optimization in ESAC: annals 2011." International Journal for Simulation and Multidisciplinary Design Optimization 5 (2014): A09. http://dx.doi.org/10.1051/smdo/2013013.

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The purpose of this paper is to give an overall introduction of the structural optimization research works in ESAC group in 2011. Four main topics are involved, i.e. 1) topology optimization with multiphase materials, 2) integrated layout and topology optimization, 3) prediction of effective material properties and 4) composite design. More detailed techniques and some numerical results are also presented and discussed here.
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21

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 (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 Optimiz
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22

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 a
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23

Xu, Jian, Jian Yuan Sun, and Yu Long Shui. "Bi-Directional Evolutionary Structural Optimization in Conceptual Bridge Design." Applied Mechanics and Materials 256-259 (December 2012): 1658–64. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.1658.

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The principle and procedure of bi-directional evolutionary structural optimization (BESO) are stated in detail. A program based on BESO is introduced in conceptual bridge design. Topology optimizations are achieved for deck arch bridges with different rise-to-span ratios, half-through arch bridge, through tied arch bridge, bridge pier and bridge main beam. The results demonstrate rational structures with well-distributed stress and smooth force transmission, which indicates the efficient of the method.
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24

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 analys
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25

Li, Quhao, Wenjiong Chen, Shutian Liu, and Liyong Tong. "Structural topology optimization considering connectivity constraint." Structural and Multidisciplinary Optimization 54, no. 4 (2016): 971–84. http://dx.doi.org/10.1007/s00158-016-1459-5.

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26

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 (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 p
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27

Cheng, G. D., and X. Guo. "?-relaxed approach in structural topology optimization." Structural Optimization 13, no. 4 (1997): 258–66. http://dx.doi.org/10.1007/bf01197454.

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28

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 (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
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29

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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30

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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31

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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32

Tseng, K.-Y., C.-B. Zhang, and C.-Y. Wu. "An Enhanced Binary Particle Swarm Optimization for Structural Topology Optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 224, no. 10 (2010): 2271–87. http://dx.doi.org/10.1243/09544062jmes2128.

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Particle swarm optimization (PSO), a heuristic optimization method, has been successfully applied in solving many optimization problems in real-value search space. The original binary particle swarm optimization (BPSO) uses the concept of bit flipping of the binary string to convert the velocity from a real code into a binary code. However, the conversion process cannot be reversed, and it is difficult to extend this framework to solve certain discrete optimization problems. An enhanced binary particle swarm algorithm is proposed in this study based on pure binary bit-string frameworks to deal
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33

Jiang, T., and M. Chirehdast. "A Systems Approach to Structural Topology Optimization: Designing Optimal Connections." Journal of Mechanical Design 119, no. 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 appli
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34

Chen, Shikui, Michael Yu Wang, and Ai Qun Liu. "Shape feature control in structural topology optimization." Computer-Aided Design 40, no. 9 (2008): 951–62. http://dx.doi.org/10.1016/j.cad.2008.07.004.

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35

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
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36

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
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37

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

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38

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
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39

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 befo
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40

Qiu, Guang Yu, Ping Hu, and Wei Zhou. "Two-Dimensional Structural Topology Optimization Based on Isogeometric Analysis." Applied Mechanics and Materials 472 (January 2014): 475–79. http://dx.doi.org/10.4028/www.scientific.net/amm.472.475.

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In this paper, the isogeometric analysis is applied to two-dimensional structural topology optimization instead of traditional finite element analysis. By treating the corresponding element density of knot spans as design variables, the topology optimization model is formulated based on SIMP method. Then the optimization problem is solved using the method of moving asymptotes. As demonstrated by examples, the proposed method can be used for two-dimensional topology optimization. And the results show that checkerboard patterns can be controlled.
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41

Choi, S. H., J. Y. Park, I. S. Shin, and Seok Young Han. "Topology Optimization of a Vehicle’s Hood Using Evolutionary Structural Optimization." Key Engineering Materials 326-328 (December 2006): 1217–20. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.1217.

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Topology optimization of the inner reinforcement for a vehicle’s hood has been performed by evolutionary structural optimization (ESO) method. The purpose of this study is to obtain optimal topology of the inner reinforcement for a vehicle’s hood considering static stiffness and natural frequency simultaneously. To do this, the multiobjective design optimization technique was implemented. From several combinations of weighting factors, a Pareto-optimal solution was obtained. Optimal topologies were obtained by the ESO method, i.e., by eliminating the elements having the lowest efficiency from
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42

Mi, Da Hai, Rui Yang, Liang Zhou, Yang Liu, and Dong Ming Guo. "Optimal Structural Frequency Design of Stiffened Shell." Applied Mechanics and Materials 157-158 (February 2012): 1636–39. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1636.

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Frequency-aimed optimal structural design of stiffened shell is concerned. It is a reverse design problem for the first several modal frequencies to converge to a set of target value. A design method combined modified bi-directional evolutionary structural optimization (BESO) and size optimization is presented. Optimization model consists of skin and regular grid frame structure. To solve irregular branches and holes that often exist in ordinary topology optimization results, instead of elements, the existence states of ribs in the frame are used as design variables and sensitivity of the rib
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43

Xue, Hongjun, Haiyang Yu, Xiaoyan Zhang, and Qi Quan. "A Novel Method for Structural Lightweight Design with Topology Optimization." Energies 14, no. 14 (2021): 4367. http://dx.doi.org/10.3390/en14144367.

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Topological optimization is an innovative method to realize the lightweight design. This paper proposes a hybrid topology optimization method that combines the SIMP (solid isotropic material with penalization) method and genetic algorithm (GA), called the SIMP-GA method. In the method, SIMP is used to update the chromosomes, which can accelerate convergence. The filtering scheme in the SIMP method can filter unconnected elements to ensure the connectivity of the structure. We studied the influence of varying the filtering radius on the optimized structure. Simultaneously, in the SIMP-GA method
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44

Yao, S. G., and Hang Li. "Structural Topology Optimization of the Column of Form Grinding Machine." Key Engineering Materials 455 (December 2010): 397–401. http://dx.doi.org/10.4028/www.scientific.net/kem.455.397.

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Based on Topology optimization method of continuum the structural dynamic model has been built by constraint condition of volume and objective function of column natural frequency. In order to improve precision the dynamic characteristics of non-design region have been considered in optimization process. The column of structural optimization design has been done by applying topology optimization. The quality has not only reduced, but also the dynamic characteristic of the column has been improved. Thus the design effect has been reached.
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45

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
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46

Han, Haitao, Yuchen Guo, Shikui Chen, and Zhenyu Liu. "Topological constraints in 2D structural topology optimization." Structural and Multidisciplinary Optimization 63, no. 1 (2020): 39–58. http://dx.doi.org/10.1007/s00158-020-02771-5.

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47

Niu, Fei, Shengli Xu, and Gengdong Cheng. "A general formulation of structural topology optimization for maximizing structural stiffness." Structural and Multidisciplinary Optimization 43, no. 4 (2010): 561–72. http://dx.doi.org/10.1007/s00158-010-0585-8.

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48

Wang, Ping, Zhou Lan, and Xiao Yang Shen. "Weight Reduction Design of Gear Drive Based on Parameter and Structural Optimization." Advanced Materials Research 139-141 (October 2010): 1406–10. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1406.

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. For a medium or large-sized gear drive, in order to achieve the optimum weight reduction effect, an approach of weight reduction design is proposed that multi-objective optimization of gear parameters is carried out firstly, and then structural optimization is adopted to design the gear former. The rational design parameters of a gear drive are determined by the multi-objective optimization with minimizing the sum of gear volumes and the equivalent moment of inertia of input shaft (EMI) synchronously. Conceptual design of the former is given by structural topology optimization of the gear, a
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49

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
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Tang, Ji Wu, Mike Xie, and Peter Felicetti. "Topology Optimization of Building Structures Considering Wind Loading." Applied Mechanics and Materials 166-169 (May 2012): 405–8. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.405.

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Abstract:
The latest developments in structural topological optimization have been integrated with CFD for the optimization of building structures considering wind loading. Wind loads on a building are numerically simulated in ANSYS CFX and then transferred to ANSYS Static to get the structural response of the building in wind. The bi-directional evolutionary structural optimization (BESO) algorithm has been applied to buildings for an automatic structural topological optimization considering wind loading. The proposed approach is demonstrated by examples of the optimum structural design of exterior bra
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