Generalized Topology Optimization for Structural Design

This book challenges many assumptions commonly used in structural topology optimization. These assumptions include: (1) to find the unique and globally optimal solution—the ‘best’ design, (2) under prescribed support conditions, (3) for given loading conditions, (4) within a predetermined design dom...

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Hovedforfatter: Xie, Yi Min
Format: Online
Sprog:engelsk
Udgivet: Springer Nature 2025
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Online adgang:ONIX_20250613T105552_9789819645244_38
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author Xie, Yi Min
author_browse Xie, Yi Min
author_facet Xie, Yi Min
author_sort Xie, Yi Min
collection Directory of Open Access Books
description This book challenges many assumptions commonly used in structural topology optimization. These assumptions include: (1) to find the unique and globally optimal solution—the ‘best’ design, (2) under prescribed support conditions, (3) for given loading conditions, (4) within a predetermined design domain, and (5) without considering the designer’s aesthetic preferences. Through a systematic discussion and numerous examples, this book clearly shows that the traditional assumptions are not only unnecessary, but also imposing severe limitations on design freedom and hindering creativity in structural design. The generalized topology optimization framework presented in this book breaks the mold of many conventional thoughts in structural topology optimization. The new framework will enable topology optimization techniques to solve a much wider range of practical problems. This book appeals to researchers and graduate students working in structural design and optimization and is of interest to civil and structural engineers, architects, mechanical engineers, and product designers involved in creating innovative and efficient structures. This book is open access.
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language eng
publishDate 2025
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spelling doab-20.500.12854ir-1613602025-06-14T05:07:16Z Generalized Topology Optimization for Structural Design Xie, Yi Min Topology optimization Structural design Architectural design Generative design Lightweight structure Design innovation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics This book challenges many assumptions commonly used in structural topology optimization. These assumptions include: (1) to find the unique and globally optimal solution—the ‘best’ design, (2) under prescribed support conditions, (3) for given loading conditions, (4) within a predetermined design domain, and (5) without considering the designer’s aesthetic preferences. Through a systematic discussion and numerous examples, this book clearly shows that the traditional assumptions are not only unnecessary, but also imposing severe limitations on design freedom and hindering creativity in structural design. The generalized topology optimization framework presented in this book breaks the mold of many conventional thoughts in structural topology optimization. The new framework will enable topology optimization techniques to solve a much wider range of practical problems. This book appeals to researchers and graduate students working in structural design and optimization and is of interest to civil and structural engineers, architects, mechanical engineers, and product designers involved in creating innovative and efficient structures. This book is open access. 2025-06-14T05:07:16Z 2025-06-14T05:07:16Z 2025-06-13T09:21:21Z 2025 book ONIX_20250613T105552_9789819645244_38 https://library.oapen.org/handle/20.500.12657/103594 9789819645244 9789819645237 https://directory.doabooks.org/handle/20.500.12854/161360 eng open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/103594/1/9789819645244.pdf Springer Nature Springer Nature Singapore 10.1007/978-981-96-4524-4 10.1007/978-981-96-4524-4 9fa3421d-f917-4153-b9ab-fc337c396b5a bbc445d9-5392-4cca-809a-010883b3ee8d 2b499bba-4c72-4c14-ba3d-ad473c6e6069 9789819645244 9789819645237 Springer Nature Singapore 153 Singapore [...] Australian Research Council ARC 10.13039/501100000923 open access
spellingShingle Topology optimization
Structural design
Architectural design
Generative design
Lightweight structure
Design innovation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics
Xie, Yi Min
Generalized Topology Optimization for Structural Design
title Generalized Topology Optimization for Structural Design
title_full Generalized Topology Optimization for Structural Design
title_fullStr Generalized Topology Optimization for Structural Design
title_full_unstemmed Generalized Topology Optimization for Structural Design
title_short Generalized Topology Optimization for Structural Design
title_sort generalized topology optimization for structural design
topic Topology optimization
Structural design
Architectural design
Generative design
Lightweight structure
Design innovation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics
topic_facet Topology optimization
Structural design
Architectural design
Generative design
Lightweight structure
Design innovation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics
url ONIX_20250613T105552_9789819645244_38
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