Inelastic constitutive laws using biological computation

[目次]

  • TABLE OF CONTENTS / p2
  • CHAPTER1 / p1
  • INTRODUCTION / p1
  • 1.1 Background / p1
  • 1.2 Objective / p2
  • 1.3 Thesis Outline / p4
  • 1.4 Notations / p4
  • References / p8
  • CHAPTER2 / p9
  • INELASTIC MATERIAL LAWS / p9
  • 2.1 Introduction / p9
  • 2.2 Incremental Theory / p10
  • 2.3 Theory of Elasticity / p11
  • 2.4 Theory of Plasticity and Viscoplasticity / p13
  • 2.5 Explicit Constitutive Laws / p17
  • 2.6 Implicit Constitutive Laws / p24
  • 2.7 Conclusions / p26
  • Figures and Tables / p28
  • References / p36
  • CHAPTER3 / p38
  • NONLINEAR PARAMETER IDENTIFICATION / p38
  • 3.1 Introduction / p38
  • 3.2 Parameter Identification / p39
  • 3.3 Stepwise Identification / p41
  • 3.4 Simultaneous Identification / p43
  • 3.5 Conclusions / p47
  • Figures and Tables / p49
  • References / p50
  • CHAPTER4 / p52
  • PARAMETER OPTIMIZATION / p52
  • 4.1 Introduction / p52
  • 4.2 Histrocal Review / p53
  • 4.3 Evolutionary Algorithms / p56
  • 4.4 Genetic Algorithms / p57
  • 4.5 Conclusions / p59
  • Figures and Tables / p61
  • References / p62
  • CHAPTER5 / p64
  • EVOLUTIONARY ALGORITHM FOR CONTINUOUS SEARCH SPACE / p64
  • 5.1 Introduction / p64
  • 5.2 Formulation / p65
  • 5.3 Software / p66
  • 5.4 Comparison / p67
  • 5.5 Conclusions / p70
  • Figures and Tables / p73
  • References / p82
  • CHAPTER6 / p83
  • CONSTITUTIVE PARAMETER IDENTIFICATION / p83
  • 6.1 Introduction / p83
  • 6.2 Formulation / p84
  • 6.3 Uniqueness of Solution / p84
  • 6.4 Identification with Actual Experimental Data / p86
  • 6.5 Conclusions / p87
  • Figures and Tables / p89
  • References / p96
  • CHAPTER7 / p97
  • MULTILAYER NEURAL NETWORKS / p97
  • 7.1 Introduction / p97
  • 7.2 Neural Network Architecture / p98
  • 7.3 Theory / p99
  • 7.4 Neural Network as an Implicit Function Emulator / p102
  • 7.5 Stuttgart Neural Network Simulator / p104
  • 7.6 Conclusions / p106
  • Figures and Tables / p107
  • References / p114
  • CHAPTER8 / p115
  • NEURAL NETWORK CONSTITUTIVE LAW / p115
  • 8.1 Introduction / p115
  • 8.2 State-Space Method / p116
  • 8.3 State-Space Representation of Material Behaviors / p119
  • 8.4 Numerical Examples / p121
  • 8.5 Conclusions / p123
  • Figures and Tables / p125
  • References / p142
  • CHAPTE9 / p144
  • EXPERIMENTAL INVESTIGATION OF NEURAL LAW / p144
  • 9.1 Introduction / p144
  • 9.2 Decomposition of Experimental Data / p145
  • 9.3 Performance with Actual Data / p146
  • 9.4 Conclusions / p146
  • Figures and Tables / p148
  • CHAPTER10 / p154
  • CONCLUSIONS / p154

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書名 Inelastic constitutive laws using biological computation
著作者等 古川 知成
書名別名 生物学的計算による非弾性構成則
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