Relevant bibliographies by topics / Topology Optimizatoin

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Topology Optimizatoin'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Topology Optimizatoin"

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Bendsoe, Martin P. "Multidisciplinary Topology Optimization." Proceedings of The Computational Mechanics Conference 2006.19 (2006): 1. http://dx.doi.org/10.1299/jsmecmd.2006.19.1.

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Widodo, Charles, Marchellius Yana, and Halim Agung. "IMPLEMENTASI TOPOLOGI HYBRID UNTUK PENGOPTIMALAN APLIKASI EDMS PADA PROJECT OFFICE PT PHE ONWJ." JURNAL TEKNIK INFORMATIKA 11, no. 1 (2018): 19–30. http://dx.doi.org/10.15408/jti.v11i1.6472.

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ABSTRAK Penggunaan aplikasi EDMS di project office PT PHE ONWJ dinilai masih belum optimal karena masih lambat dalam pengunaan aplikasi EDMS. Oleh karena itu dilakukanlah penelitian ini dengan tujuan untuk mengoptimalkan jaringan yang digunakan untuk mengakses aplikasi EDMS pada project office PT PHE ONWJ. Pengoptimalan jaringan yang dimaksud adalah dengan membangun topologi di project office PT PHE ONWJ dan menerapkan metro sebagai perantara topologi star di project office dan topologi star dikantor pusat sehingga menciptakan topologi hybrid. Topologi hybrid yang dimaksud adalah penggabungan
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HASHIMOTO, Hiroshi, Min-Geun KIM, Kazuhisa ABE, and Seonho CHO. "1302 Topology Optimization of Periodic Sound Barriers." Proceedings of The Computational Mechanics Conference 2011.24 (2011): 438–39. http://dx.doi.org/10.1299/jsmecmd.2011.24.438.

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Lee, Chen Jian Ken, and Hirohisa Noguchi. "515 Multi-objective topology optimization involving 3D surfaces." Proceedings of The Computational Mechanics Conference 2008.21 (2008): 233–34. http://dx.doi.org/10.1299/jsmecmd.2008.21.233.

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Han, Seog Young, Min Sue Kim, Sang Rak Kim, Won Goo Lee, Jin Shik Yu, and Jae Yong Park. "P-01 Topology Optimization of a PCB Substrate Based on Evolutionary Structural Optimization." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _P—01–1_—_P—01–6_. http://dx.doi.org/10.1299/jsmeatem.2007.6._p-01-1_.

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Srivastava, Prashant Kumar. "Reducing Weight of Freight Bogie Bolster Using Topology Optimization." Revista Gestão Inovação e Tecnologias 11, no. 3 (2021): 324–39. http://dx.doi.org/10.47059/revistageintec.v11i3.1941.

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Alfayez, Joud A., and Sobhi Mejjaouli. "3 Unit Cube-Sat Mass Reduction Using Topology Optimization." International Journal of Engineering and Technology 13, no. 2 (2021): 19–23. http://dx.doi.org/10.7763/ijet.2021.v13.1189.

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This study aims to Design and perform Finite element Analysis under the static load of a solid 3U cube structure. an evaluation of the critical loads affecting the structure during launching will be conducted to help re-design a topologized structure designed for additive manufacturing. The development of the structure's design was performed using SolidWorks, while the analysis was performed with both SolidWorks simulations and Fusion 360. The study shows the effect on the structure during the launching phase and promising results for the topology optimization approach's effectiveness as it ga
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Kanno, Yoshihiro. "TOPOLOGY OPTIMIZATION OF TENSEGRITY STRUCTURES UNDER SELF-WEIGHT LOADS." Journal of the Operations Research Society of Japan 55, no. 2 (2012): 125–45. http://dx.doi.org/10.15807/jorsj.55.125.

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Kobayashi, Masakazu, Shinji Nishiwaki, and Hiroshi Yamakawa. "Integrated Multi-Step Design Method for Practical and Sophisticated Compliant Mechanisms Combining Topology and Shape Optimizations." Journal of Robotics and Mechatronics 19, no. 2 (2007): 141–47. http://dx.doi.org/10.20965/jrm.2007.p0141.

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Compliant mechanisms designed by traditional topology optimization have a linear output response, and it is difficult for traditional methods to implement mechanisms having nonlinear output responses, such as nonlinear deformation or path. To design a compliant mechanism having a specified nonlinear output path, we propose a two-stage design method based on topology and shape optimizations. In the first stage, topology optimization generates an initial conceptual compliant mechanism based on ordinary design conditions, with “additional” constraints used to control the output path in the second
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G, Yaskov, Chugay A, Romanova T, and Shekhovtsov S. "Modern method of topology optimization of products in additive production." Artificial Intelligence 27, jai2022.27(1) (2022): 301–10. http://dx.doi.org/10.15407/jai2022.01.301.

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The article considers the problem of optimizing the topology of products in additive manufacturing due to the optimal placement of circular holes. The task is to pack several circles of variable radii, set within the limits set by 3D printing standards. A two-criteria formulation is proposed, which takes into account the packing factor and the maximum mechanical stress of the products. The method of the main criterion is used to find a compromise solution to the problem. A new approach has been developed, which is based on the modified method of Apollonian packing of circles and nonlinear opti
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Dissertations / Theses on the topic "Topology Optimizatoin"

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Satha, Ganarupan. "Nutrient Driven Topology Optimization." Thesis, Linköpings universitet, Mekanik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70785.

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The aim of this thesis is to investigate how a biological structure changes its shape and boundary under different cases of load if flow of nutrients is included, since nutrient flow has not been taken into account in previous studies. In order to simulate such a scenario we construct a model by using topology optimization (the SIMP model) and a balance law which is suitable for biological structures. Moreover, the model is derived by using an analogy with the dissipation inequality and Coleman-Noll’s procedure. The model can be interpreted as bone or some other biological structure, where the
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Lu, Li Rong. "Topology optimization of acoustic metamaterials." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/189362.

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Zuo, Zihao, and Zhihao zuo@rmit edu au. "Topology optimization of periodic structures." RMIT University. Civil, Environmental and Chemical Engineering, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20091217.151415.

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This thesis investigates topology optimization techniques for periodic continuum structures at the macroscopic level. Periodic structures are increasingly used in the design of structural systems and sub-systems of buildings, vehicles, aircrafts, etc. The duplication of identical or similar modules significantly reduces the manufacturing cost and greatly simplifies the assembly process. Optimization of periodic structures in the micro level has been extensively researched in the context of material design, while research on topology optimization for macrostructures is very limited and has grea
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LAGUN, TATIANA GOSSO. "TOPOLOGY OPTIMIZATION OF 2D STRUCTURES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2001. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2218@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>A determinação automática e ótima de uma topologia é um passo muito importante dentro do processo da otimização de estruturas. Normalmente, a busca da topologia ótima é o primeiro passo para a definição da configuração da estrutura, pois é nela que é encontrada uma distribuição ótima de material dentro de um domínio pré-estabelecido. Esta dissertação tem como objetivo apresentar uma metodologia simples de otimização topológica, dado um sistema estrutural, definido por suas condições de apoio, carregamento e um domínio de
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BARROS, GUILHERME COELHO GOMES. "TOPOLOGY OPTIMIZATION CONSIDERING LIMIT ANALYSIS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29908@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Este trabalho apresenta uma formulação puramente baseada em plasticidade para ser aplicada à otimização topológica. A principal ideia da otimização topológica em mecânica dos sólidos é encontrar a distribuição de material dentro do domínio de forma a otimizar uma medida de performance e satisfazer um conjunto de restrições. Uma possibilidade é minimizar a flexibilidade da estrutura satisfazendo que o volume seja menor do que um determinado valor. Essa é a formulação clássica d
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THEDIN, REGIS SANTOS. "TOPOLOGY OPTIMIZATION USING POLYHEDRAL MESHES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=37112@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>A otimização topológica tem se desenvolvido bastante e possui potencial para revolucionar diversas áreas da engenharia. Este método pode ser implementado a partir de diferentes abordagens, tendo como base o Método dos Elementos Finitos. Ao se utilizar uma abordagem baseada no elemento, potencialmente, cada elemento finito pode se tornar um vazio ou um sólido, e a cada elemento do domínio é atribuído uma variável de projeto, constante, denominada densidade. Do ponto de vista Eu
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Aremu, Adedeji. "Topology optimization for additive manufacture." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12833.

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Additive manufacturing (AM) offers a way to manufacture highly complex designs with potentially enhanced performance as it is free from many of the constraints associated with traditional manufacturing. However, current design and optimisation tools, which were developed much earlier than AM, do not allow efficient exploration of AM's design space. Among these tools are a set of numerical methods/algorithms often used in the field of structural optimisation called topology optimisation (TO). These powerful techniques emerged in the 1980s and have since been used to achieve structural solutions
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Yu, Tae-Joong. "Topology optimization under stress constraints." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000831.

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PIZZOLATO, ALBERTO. "Topology optimization for energy problems." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2710567.

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The optimal design of energy systems is a challenge due to the large design space and the complexity of the tightly-coupled multi-physics phenomena involved. Standard design methods consider a reduced design space, which heavily constrains the final geometry, suppressing the emergence of design trends. On the other hand, advanced design methods are often applied to academic examples with reduced physics complexity that seldom provide guidelines for real-world applications. This dissertation offers a systematic framework for the optimal design of energy systems by coupling detailed physical an
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Wadbro, Eddie. "Topology Optimization for Wave Propagation Problems." Doctoral thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-98382.

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This thesis considers topology optimization methods for wave propagation problems. These methods make no a priori assumptions on topological properties such as the number of bodies involved in the design. The performed studies address problems from two different areas, acoustic wave propagation and microwave tomography. The final study discusses implementation aspects concerning the efficient solution of large scale material distribution problems. Acoustic horns may be viewed as impedance transformers between the feeding waveguide and the surrounding air. Modifying the shape of an acoustic hor
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Books on the topic "Topology Optimizatoin"

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Bendsøe, Martin P., and Ole Sigmund. Topology Optimization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05086-6.

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Gao, Jie, Liang Gao, and Mi Xiao. Isogeometric Topology Optimization. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1770-7.

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Gao, Jie, Liang Gao, and Mi Xiao. Isogeometric Topology Optimization. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1770-7.

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Zhang, Xianmin, and Benliang Zhu. Topology Optimization of Compliant Mechanisms. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0432-3.

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Rozvany, G. I. N., ed. Topology Optimization in Structural Mechanics. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2566-3.

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Hassani, Behrooz, and Ernest Hinton. Homogenization and Structural Topology Optimization. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0891-7.

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International Centre for Mechanical Sciences., ed. Topology optimization in structural mechanics. Springer, 1997.

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Bendsøe, Martin P., and Carlos A. Mota Soares. Topology design of structures. Springer, 1993.

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Huang, X., and Y. M. Xie. Evolutionary Topology Optimization of Continuum Structures. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470689486.

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Deng, Yongbo, Yihui Wu, and Zhenyu Liu. Topology Optimization Theory for Laminar Flow. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4687-2.

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Book chapters on the topic "Topology Optimizatoin"

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Jensen, Jakob S. "Topology optimization." In Wave Propagation in Linear and Nonlinear Periodic Media. Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-7091-1309-7_3.

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Bendsøe, Martin P., and Ole Sigmund. "Topology optimization by distribution of isotropic material." In Topology Optimization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05086-6_1.

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Bendsøe, Martin P., and Ole Sigmund. "Extensions and applications." In Topology Optimization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05086-6_2.

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Bendsøe, Martin P., and Ole Sigmund. "Design with anisotropic materials." In Topology Optimization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05086-6_3.

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Bendsøe, Martin P., and Ole Sigmund. "Topology design of truss structures." In Topology Optimization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05086-6_4.

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Bendsøe, Martin P., and Ole Sigmund. "Appendices." In Topology Optimization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05086-6_5.

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Bendsøe, Martin P., and Ole Sigmund. "Bibliographical notes." In Topology Optimization. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05086-6_6.

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Novotny, Antonio André, and Jan Sokołowski. "Topology Design Optimization." In SpringerBriefs in Mathematics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36915-6_5.

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Maute, Kurt. "Topology Optimization under Uncertainty." In Topology Optimization in Structural and Continuum Mechanics. Springer Vienna, 2014. http://dx.doi.org/10.1007/978-3-7091-1643-2_20.

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Gavranovic, Stefan, Dirk Hartmann, and Utz Wever. "Topology Optimization Using GPGPU." In Computational Methods in Applied Sciences. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89988-6_33.

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Conference papers on the topic "Topology Optimizatoin"

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Kobayashi, Masakazu, Shinji Nishiwaki, and Masatake Higashi. "Multi-Stage Design Method for Practical Compliant Mechanisms by Topology and Shape Optimizations and Shape Conversion Method Utilizing Level Set Method." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49717.

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This paper proposes a multi-stage design method for a design of practical compliant mechanisms. The proposed method consists of topology and shape optimizations and a shape conversion method that incorporates two optimizations. In the 1st stage, an initial and conceptual compliant mechanism is created by topology optimization. In the 2nd stage, an initial model of shape optimization is created from the result of topology optimization by the shape conversion method based on the level set method. In the 3rd stage, the shape optimization yields a detailed shape of the compliant mechanism by consi
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Hatamizadeh, Ali, Yuanping Song, and Jonathan B. Hopkins. "Geometry Optimization of Flexure System Topologies Using the Boundary Learning Optimization Tool (BLOT)." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67465.

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In this paper, we introduce a new computational tool called the Boundary Learning Optimization Tool (BLOT) that rapidly identifies the boundary of the performance capabilities achieved by a general flexure topology if its geometric parameters are allowed to vary from their smallest allowable feature sizes to the largest geometrically compatible feature sizes for a given constituent material. The boundaries generated by the BLOT fully define a flexure topology’s design space and allow designers to visually identify which geometric versions of their synthesized topology best achieve a desired co
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Lee, Soo Bum, Il Yong Kim, and Byung Man Kwak. "Continuum Topology Optimization." In 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-4525.

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Zhou, Hong, and Satya Raviteja Kandala. "The Uncertainty Elimination in Discrete Topology Optimization of Compliant Mechanisms." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12273.

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Topology uncertainty leads to different topology solutions and makes topology optimization ambiguous. Point connection and grey cell might cause topology uncertainty. They are both eradicated when hybrid discretization model is used for discrete topology optimization. A common topology uncertainty in the current discrete topology optimization stems from mesh dependence. The topology solution of an optimized compliant mechanism might be uncertain when its design domain is discretized differently. To eliminate topology uncertainty from mesh dependence, the genus based topology optimization strat
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Eschenauer, Hans A., and A. Schumacher. "Bubble-Method: A Special Strategy for Finding Best Possible Initial Designs." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0417.

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Abstract The position and the arrangement of structural elements in a component — also defined as its topology — decisively influences its deformation and stress behaviour. When developing a new component it is essential to find an optimal topology. The objective of topology optimization is to substitute the existing intuitive design of variants by mathematical-mechanical strategies in the design phase and thus to make it more efficient. In this paper a special method is introduced, the basic idea of which is to iteratively position new holes, so-called bubbles, in the structure of a component
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Mutters, David. "Mirror topology optimization." In Optomechanical Engineering 2019, edited by Keith B. Doyle and Jonathan D. Ellis. SPIE, 2019. http://dx.doi.org/10.1117/12.2544372.

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Zhou, Hong, and Surya Tej Kolavennu. "Discrete Topology Optimization of Structures Without Uncertainty." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62824.

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The topology of a structure is defined by its genus or number of handles. When the topology of a structure is optimized, its topology might be changed if the material state of a design cell is switched from solid to void or vice versa. In discrete topology optimization, each design cell is either solid or void and there is no topology uncertainty from any grey design cell. Point connection might cause topology uncertainty and is eradicated when hybrid discretization model is used for discrete topology optimization. However, the topology solution of an optimized structure might be uncertain whe
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Maute, K., and E. Ramm. "Adaptive techniques in topology optimization." In 5th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4264.

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Luo, Jianhui, Gae Gea, and R. Yang. "Topology optimization for crush design." In 8th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4770.

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Yamada, Takayuki, and Yuki Noguchi. "Topology Optimization Taking Into Account Geometrical Constraint of No-Closed Hole for Additive Manufacturing Based on Fictitious Physical Model Concept." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-66717.

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Abstract This paper proposes a topology optimization method that considers the geometrical constraint of a non-closed hole for additive manufacturing based on the fictitious physical model concept. First, the basic topology optimization concept and level set-based method are introduced. Second, the concept of a fictitious physical model for geometrical constraint in the topology optimization framework is discussed. Then, the model for the geometrical constraint of a non-closed hole for additive manufacturing is proposed. Numerical examples are provided to validate the proposed model. In additi
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Reports on the topic "Topology Optimizatoin"

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Wallin, M., and D. A. Tortorelli. Topology optimization beyond linear elasticity. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1581880.

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Robbins, Joshua, Ryan Alberdi, and Brett Clark. Concurrent Shape and Topology Optimization. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1822279.

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Robbins, Joshua. Topology Optimization with a Manufacturability Objective. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1825357.

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Kohn, Robert V. Optimization of Structural Topology in the High-Porosity Regime. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425439.

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Swartz, K., K. James, J. Jin, K. Matlack, D. Tortorelli, and D. White. TOPOLOGY OPTIMIZATION OF MANUFACTURABLE PHOTONIC CRYSTALS WITH COMPLETE BANDGAPS. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1873636.

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Dede, L., M. J. Borden, and T. J. Hughes. Isogeometric Analysis for Topology Optimization with a Phase Field Model. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada555345.

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Wilson, C. L., and O. M. Omidvar. Optimization of neural network topology and information content using Boltzmann methods. National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4766.

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Stees, Michael, and Travis Drayna. Improving the Mesh Optimization Capabilities in Crosslink, a Topology Based Mesh Generator. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1829607.

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Lindner, Douglas K. Energy Based Topology Optimization of Morphing Wings a Multidisciplinary Global/Local Design Approach. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada480198.

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Robbins, Joshua. LDRD Final Report: Topology Optimization for Nonlinear Transient Applications Using a Minimally Invasive Approach. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1475253.

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