A new concurrent optimization method of structural topologies and continuous fiber orientations for minimum structural compliance under stress constraints
{"title":"A new concurrent optimization method of structural topologies and continuous fiber orientations for minimum structural compliance under stress constraints","authors":"Liangbing Guo , Zeng Meng , Xuan Wang","doi":"10.1016/j.advengsoft.2024.103688","DOIUrl":null,"url":null,"abstract":"<div><p>The concurrent optimization of structural topologies and fiber orientations offers an effective way for improving the mechanical performance of fiber-reinforced composite structures. However, its local optimal solution problem under stress constraints remains extremely challenging. To tackle this problem, this paper presents an orientation variable corrected principal stress direction (OVCPSD) method, which is composed by a two-step optimization strategy. In the first step, the fiber orientation for the shear-weak materials is roughly distributed along the principal stress direction, and the principal stress direction of the previous iteration step is used as the initial fiber orientation. In the second step, the principal stress direction is further modified by an orientation variable in a small subinterval. Finally, a new optimization model of structural topologies and fiber orientations for minimum structural compliance under stress constraints is established, and the sensitivities of the objective and constraint functions with respect to both the pseudo-density and orientation variable are derived. Three numerical examples are presented to verify the effectiveness of the OVCPSD method. The complete code is available from the website: <span>https://github.com/TopOpt-lbg/OVCPSD_L-shaped-beam</span><svg><path></path></svg>.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"195 ","pages":"Article 103688"},"PeriodicalIF":4.0000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965997824000954","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The concurrent optimization of structural topologies and fiber orientations offers an effective way for improving the mechanical performance of fiber-reinforced composite structures. However, its local optimal solution problem under stress constraints remains extremely challenging. To tackle this problem, this paper presents an orientation variable corrected principal stress direction (OVCPSD) method, which is composed by a two-step optimization strategy. In the first step, the fiber orientation for the shear-weak materials is roughly distributed along the principal stress direction, and the principal stress direction of the previous iteration step is used as the initial fiber orientation. In the second step, the principal stress direction is further modified by an orientation variable in a small subinterval. Finally, a new optimization model of structural topologies and fiber orientations for minimum structural compliance under stress constraints is established, and the sensitivities of the objective and constraint functions with respect to both the pseudo-density and orientation variable are derived. Three numerical examples are presented to verify the effectiveness of the OVCPSD method. The complete code is available from the website: https://github.com/TopOpt-lbg/OVCPSD_L-shaped-beam.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.