The Feature-Driven Method for Structural Optimization
- 1st Edition - November 5, 2020
- Imprint: Elsevier
- Authors: Weihong Zhang, Ying Zhou
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 3 3 0 - 8
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 1 3 3 1 - 5
The Feature-Driven Method for Structural Optimization details a novel structural optimization method within a CAD framework, integrating structural optimization and feature-b… Read more
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Request a sales quoteThe Feature-Driven Method for Structural Optimization details a novel structural optimization method within a CAD framework, integrating structural optimization and feature-based design. The book presents cutting-edge research on advanced structures and introduces the feature-driven structural optimization method by regarding engineering features as basic design primitives. Consequently, it presents a method that allows structural optimization and feature design to be done simultaneously so that feature attributes are preserved throughout the design process. The book illustrates and supports the effectiveness of the method described, showing potential applications through numerical modeling techniques and programming.
This volume presents a high-performance optimization method adapted to engineering structures—a novel perspective that will help engineers in the computation, modeling and design of advanced structures.
- Integrates two independent methods - structural optimization and feature-based design—into one framework
- Adapts the high performance optimization method to the practice of designing engineering structures
- Provides numerical evidence for the effectiveness and potential of the methods described
- Works within a computer-aided design framework to develop a novel structural optimization methodology
- Presents engineering features as the basic design primitives in structural optimization
Engineers involved in structural design and optimization; Researchers and professional engineers in mathematics for engineering, optimization, computational intelligence and computational methods in civil and structural engineering
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Chapter 1: Introduction
- Abstract
- 1.1: Overview and motivation
- 1.2: Feature-based modeling and design in CAD
- 1.3: Feature-driven structural optimization
- 1.4: Layout of the book
- Chapter 2: Level-set functions and parametric functions
- Abstract
- 2.1: Definitions of level-set function and parametric function
- 2.2: Heaviside function, Dirac delta function, and regularized forms
- 2.3: Typical level-set functions
- 2.4: Relationship between implicit and parametric functions
- Chapter 3: Basic operations of level-set functions
- Abstract
- 3.1: Operations of a single level-set function
- 3.2: Operations of multiple level-set functions
- 3.3: Typical max and min functions
- 3.4: Examples of modeling 2D and 3D mechanical parts
- Chapter 4: B-spline finite cell method for structural analysis
- Abstract
- 4.1: Introduction to B-spline finite cell method
- 4.2: Imposition of the Dirichlet boundary condition with the Web method
- 4.3: Numerical examples
- Chapter 5: Feature-based modeling and sensitivity analysis for structural optimization
- Abstract
- 5.1: Feature-based modeling with level-set functions
- 5.2: Problem statement of feature-driven optimization
- 5.3: Feature-based sensitivity analysis
- Chapter 6: Feature-driven optimization method and applications
- Abstract
- 6.1: Unification of implicit and parametric shape optimization
- 6.2: Shape optimization of the Dirichlet and free boundaries
- 6.3: Topology optimization of the regular design domain
- 6.4: Topology optimization of the freeform design domain
- Chapter 7: Feature-driven optimization for structures under design-dependent loads
- Abstract
- 7.1: Topology optimization including design-dependent body loads
- 7.2: Concurrent shape and topology optimization involving design-dependent pressure loads
- Chapter 8: Integration of feature-driven optimization with additive manufacturing
- Abstract
- 8.1: Topology optimization of self-supporting structure with polygon features
- 8.2: Topology optimization method with elimination of enclosed voids
- Index
- Edition: 1
- Published: November 5, 2020
- No. of pages (Paperback): 350
- No. of pages (eBook): 350
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780128213308
- eBook ISBN: 9780128213315
WZ
Weihong Zhang
Prof. Weihong Zhang obtained his PhD in University of Liège, Belgium. He is currently Vice-President of Northwestern Polytechnical University, Cheung Kong Chair Professor and Distinguished Young Scholar of National Natural Science Foundation of China. His research interests cover Computational Mechanics of Solids and Structures, Optimal Designs of Advanced Materials, Structures and Advanced Manufacturing Process.
Affiliations and expertise
Vice-President of Northwestern Polytechnical University, Cheung Kong and Chair Professor and Distinguished Young Scholar, National Natural Science Foundation, ChinaYZ
Ying Zhou
Researcher at Northwestern Polytechnical University in China. Her research focuses on innovative topology optimization methods, and feature-driven methods for structural optimization. She has published nine papers on computational mechanics and structural optimization
Affiliations and expertise
Researcher, Northwestern Polytechnical University, Xi'an, ChinaRead The Feature-Driven Method for Structural Optimization on ScienceDirect