Suzana Matos França de Oliveira, Laise Lima de Carvalho Sousa, Creto Augusto Vidal, Joaquim Bento Cavalcante-Neto
{"title":"用直接无网格局部 Petrov-Galerkin 方法优化多材料拓扑结构,并将其应用于二维边界值问题","authors":"Suzana Matos França de Oliveira, Laise Lima de Carvalho Sousa, Creto Augusto Vidal, Joaquim Bento Cavalcante-Neto","doi":"10.1080/0305215x.2024.2338875","DOIUrl":null,"url":null,"abstract":"This work presents a novel approach for the solution of multi-material topology optimization problems of elastic structures coupling the Direct Meshless Local Petrov–Galerkin (DMLPG) method with th...","PeriodicalId":50521,"journal":{"name":"Engineering Optimization","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-material topology optimization with a direct meshless local Petrov–Galerkin method applied to a two-dimensional boundary value problem\",\"authors\":\"Suzana Matos França de Oliveira, Laise Lima de Carvalho Sousa, Creto Augusto Vidal, Joaquim Bento Cavalcante-Neto\",\"doi\":\"10.1080/0305215x.2024.2338875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a novel approach for the solution of multi-material topology optimization problems of elastic structures coupling the Direct Meshless Local Petrov–Galerkin (DMLPG) method with th...\",\"PeriodicalId\":50521,\"journal\":{\"name\":\"Engineering Optimization\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Optimization\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/0305215x.2024.2338875\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Optimization","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/0305215x.2024.2338875","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Multi-material topology optimization with a direct meshless local Petrov–Galerkin method applied to a two-dimensional boundary value problem
This work presents a novel approach for the solution of multi-material topology optimization problems of elastic structures coupling the Direct Meshless Local Petrov–Galerkin (DMLPG) method with th...
期刊介绍:
Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process.
Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.