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機械結構優化設計(英文版)

  • 作者:編者:姚壽文//陳科|責編:王曉莉
  • 出版社:北京理工大學
  • ISBN:9787576312911
  • 出版日期:2022/04/01
  • 裝幀:平裝
  • 頁數:158
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內容大鋼
    機械結構優化設計是實現材料最優利用的關鍵,既可提升結構的承載性能,又可減少材料的應用,還可實現複合材料結構設計、人工材料、增材設計等,也是數字化設計和製造—體化的關鍵。本書從結構設計出發,介紹了典型的優化領域和一些優化工具方法,對於重要的凸規劃問題,重點介紹了拉格朗日對偶法,分別以離散結構和連續結構為研究對象,介紹了靜定結構和靜不定結構的幾種典型優化問題,對重要的優化方法——優化準則法進行了系統的分析,提供了優化求解中關鍵的靈敏度分析方法,最後對典型結構進行了優化建模和簡要介紹了多目標優化的建模方法。本書可作為大專院校工科相關專業師生的教材或參考書,也可供機械工程技術人員參考。

作者介紹
編者:姚壽文//陳科|責編:王曉莉

目錄
Chapter 1  Introduction
  1.1  Brief History of Structural Optimization
  1.2  The Basic Idea
  1.3  The Design Process
    1.3.1  Structural Optimization Design
    1.3.2  Design Steps
  1.4  General Mathematical Form of a Structural Optimization Problem
    1.4.1  Multicriteria Optimization
    1.4.2  Simultaneous Formulation and Nested formulation
  1.5  Three Types of Structural Optimization Problems
  1.6  Exercise
Chapter 2  Typical Field of Optimization
  2.1  Problem Statement
  2.2  An Optimization Problem
  2.3  Elementary Calculus
  2.4  Optimal Slope for Truss Bars
  2.5  An Arch Problem
  2.6  The Gradient of a Function
  2.7  The Lagrange Multiplier Rule
  2.8  Newton's Method
  2.9  Solving Linear Equations
  2.10  Linear Systems Versus Optimization
  2.11  Equations of Structures
  2.12  A Beam Problem
  2.13  General P'rocess of Deriving the Stiffness Matrix of Truss
  2.14  Compliance Optimization Problem
    2.14.1  Convexity of the Nested Problem
    2.14.2  Fully Stressed Design of Nested Problem
  2.15  Quadratic Programming
Chapter 3  Some Tools of Optimization
  3.1  The Lagrange Multiplier Rule
  3.2  The Kuhn - Tucker Conditions
  3.3  Newton's Method
  3.4  Linear Programming
  3.5  Sequential Explicit, Convex Approximations
    3.5.1  Sequential Linear Programming (SLP)
    3.5.2  Sequential Quadratic Programming (SQP)
    3.5.3  Convex Linearization (CONLIN)
  3.6  Duality
Chapter 4  Basics of Convex Programming
  4.1  Local and Global Optima
  4.2  Convexity
  4.3  KKT Conditions
  4.4  Lagrangian Duality
  4.5  Exercise
Chapter 5  Discrete and Distributed Parameter System
  5.1  Statistically Determinate Structures
    5.1.1  Optimum Design of Strength Constraint Problem
    5.1.2  Optimum Design of Stiffness Constraint Problem
    5.1.3  Optimum Design of Displacement - stress - constrained Problem

    5.1.4  Optimum Design of Strength and Instability Problem
  5.2  Statically Indeterminate Structure
    5.2.1  Optimum Design of Strength Constraint Problem
    5.2.2  Optimum Design of Displacement - constrained Problem
  5.3  General Structure Analysis
  5.4  Exercise
Chapter 6  Optimality Criterion Methods in Structural Optimization
  6.1  Basic Equations of Analysis
    6.1.1  Displacement Method
    6.1.2  Scaling of the Design
  6.2  Displacement Constraints
    6.2.1  Single Displacement Constraint
    6.2.2  Multiple Displacement Constraints
  6.3  Fully Stressed Design (FSD) Method
  6.4  Algorithm With the Reciprocal Design Variable
    6.4.1  Optimality Criterion
    6.4.2  Recurrence Relations
    6.4.3  Evaluation of the Lagrange Multipliers
  6.5  The Variable Thickness Sheet Problem
    6.5.1  Problem Statement and FE - discretization
    6.5.2  The Optimality Criteria Method
  6.6  Exercise
Chapter 7  Sensitivity Analysis Methods
  7.1  Numerical methods
  7.2  Analytical Methods
    7.2.1  The Direct Analytical Method
    7.2.2  The Adjoint Analytical Method
  7.3  Calculation of Sensitivities for Loads and Stiffness
    7.3.1  Load and Stiffness Matrix Sensitivity of Bars
    7.3.2  Load and Stiffness Matrix Sensitivity of Plane Sheets
  7.4  Exercise
Chapter 8  Examples of Mechanical Design Optimization
  8.1  Optimization of a Gear Train
  8.2  Optimization of a Multiple Disc Clutch Brake
  8.3  Discrete Optimization of a Four Stage Gear Train
Chapter 9  Multicriteria Optimization
  9.1  Introduction
  9.2  Solving Multicriteria Optimization Problems
Appendix 1  Microsoft ExcelThe Solver Routine
Appendix 2  99 lines topology optimization
References

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