Structural and Multidisciplinary Optimization最新文献_第4页

Multiscale concurrent topology optimization for structures with multiple lattice materials considering interface connectivity 考虑界面连通性的多晶格材料结构的多尺度并发拓扑优化

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-11-01 DOI: 10.1007/s00158-023-03687-6

Xuechen Gu, Tao Song, Yihao Dong, Yunfeng Luo, Shaoming He

引用次数: 0

Random matrix theory for robust topology optimization with material uncertainty 具有材料不确定性的鲁棒拓扑优化随机矩阵理论

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-11-01 DOI: 10.1007/s00158-023-03665-y

Linxi Li, Craig A. Steeves

引用次数: 0

Correction to: A gradient-enhanced partition-of-unity surrogate model and adaptive sampling strategy for non-analytic functions 修正:梯度增强的单位分割代理模型和非解析函数的自适应采样策略

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-30 DOI: 10.1007/s00158-023-03683-w

Garo Bedonian, Jason E. Hicken, Edwin Forster

引用次数: 0

Topology optimization with text-guided stylization 拓扑优化与文本指导风格化

IF 3.9 2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-24 DOI: 10.1007/s00158-023-03686-7

S. Zhong, Parinya Punpongsanon, D. Iwai, Kosuke Sato

引用次数: 0

Level-set-based topology optimization of a morphing flap as a compliant mechanism considering finite deformation analysis 考虑有限变形分析的柔性变形襟翼水平集拓扑优化

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-01 DOI: 10.1007/s00158-023-03670-1

Keita Kambayashi, Nozomu Kogiso, Ikumu Watanabe, Takayuki Yamada

引用次数: 0

An insertability constraint for shape optimization 形状优化的可插入性约束

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-01 DOI: 10.1007/s00158-023-03678-7

Eric Garner, Jun Wu, Amir A. Zadpoor

{"title":"An insertability constraint for shape optimization","authors":"Eric Garner, Jun Wu, Amir A. Zadpoor","doi":"10.1007/s00158-023-03678-7","DOIUrl":"https://doi.org/10.1007/s00158-023-03678-7","url":null,"abstract":"Abstract Patient-specific implants offer a host of benefits over their generic counterparts. Nonetheless, the design and optimization of these components present several technical challenges, among them being the need to ensure their insertability into the host bone tissue. This presents a significant challenge due to the tight-fitting nature of the bone-implant interface. This paper presents a novel insertability metric designed to efficiently assess whether a rigid body can be inserted into a tight-fitting cavity, without interference. In contrast to existing solutions, the metric is fully differentiable and can be incorporated as a design constraint into shape optimization routines. By exploiting the tight-fitting condition, the problem of planning an interference-free insertion path is reformulated as the search for a single interference-free movement, starting from the inserted configuration. We prove that if there exists any outward movement for which no interference is indicated, then the body can be fully extracted from or, equivalently, inserted into the cavity. This formulation is extremely efficient and highly robust with respect to the complexity of the geometry. We demonstrate the effectiveness and efficiency of our method by applying it to the optimization of two-dimensional (2D) and three-dimensional (3D) designs for insertability, subject to various design requirements. We then incorporate the proposed metric into the optimization of an acetabular cup used in total hip replacement (THR) surgery where geometric and structural requirements are considered.","PeriodicalId":21994,"journal":{"name":"Structural and Multidisciplinary Optimization","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134934619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A parallel geometric multigrid method for adaptive topology optimization 一种并行几何多重网格自适应拓扑优化方法

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-01 DOI: 10.1007/s00158-023-03675-w

David Herrero-Pérez, Sebastián Ginés Picó-Vicente

{"title":"A parallel geometric multigrid method for adaptive topology optimization","authors":"David Herrero-Pérez, Sebastián Ginés Picó-Vicente","doi":"10.1007/s00158-023-03675-w","DOIUrl":"https://doi.org/10.1007/s00158-023-03675-w","url":null,"abstract":"Abstract This work presents an efficient parallel geometric multigrid (GMG) implementation for preconditioning Krylov subspace methods solving differential equations using non-conforming meshes for discretization. The approach does not constrain such meshes to the typical multiscale grids used by Cartesian hierarchical grid methods, such as octree-based approaches. It calculates the restriction and interpolation operators for grid transferring between the non-conforming hierarchical meshes of the cycle scheme. Using non-Cartesian grids in topology optimization, we reduce the mesh size discretizing only the design domain and keeping the geometry of boundaries in the final design. We validate the GMG method operating on non-conforming meshes using an adaptive density-based topology optimization method, which coarsens the finite elements dynamically following a weak material estimation criterion. The GMG method requires the generation of the hierarchical non-conforming meshes dynamically from the one used by the adaptive topology optimization to analyze to the one coarsening all the mesh elements until the coarsest level of the mesh hierarchy. We evaluate the performance of the adaptive topology optimization using the GMG preconditioner operating on non-conforming meshes using topology optimization on a fine-conforming mesh as the reference. We also test the strong and weak scaling of the parallel GMG preconditioner with two three-dimensional topology optimization problems using adaptivity, showing the computational advantages of the proposed method.","PeriodicalId":21994,"journal":{"name":"Structural and Multidisciplinary Optimization","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135607326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hygrally activated displacement inverter using a multiphysics multiscale topology optimization with considering evaporation 考虑蒸发的多物理场多尺度拓扑优化液压驱动位移逆变器

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-01 DOI: 10.1007/s00158-023-03679-6

Musaddiq Al Ali, Masatoshi Shimoda

引用次数: 0

Reliability-based design optimization of a pouch battery module using Gaussian process modeling in the presence of cell swelling 采用高斯过程建模方法对存在电池膨胀的袋式电池模块进行可靠性优化设计

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-01 DOI: 10.1007/s00158-023-03662-1

Hyunhee Choi, Hyejeong Son, Yong Hwan Choi, Byeng D. Youn, Guesuk Lee

引用次数: 0

Topology optimization using an eigenvector aggregate 使用特征向量聚合的拓扑优化

2区工程技术

Structural and Multidisciplinary Optimization Pub Date : 2023-10-01 DOI: 10.1007/s00158-023-03674-x

Bao Li, Yicong Fu, Graeme J. Kennedy

引用次数: 0