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Cost optimization of structures [[electronic resource] ] : fuzzy logic, genetic algorithms, and parallel computing / / Hojjat Adeli, Kamal C. Sarma
| Cost optimization of structures [[electronic resource] ] : fuzzy logic, genetic algorithms, and parallel computing / / Hojjat Adeli, Kamal C. Sarma |
| Autore | Adeli Hojjat <1950-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 |
| Descrizione fisica | 1 online resource (223 p.) |
| Disciplina |
620.00450151
721/.042 |
| Altri autori (Persone) | SarmaKamal C <1955-> (Kamal Chandra) |
| Soggetto topico |
Structural optimization - Mathematics
Skyscrapers - Design and construction - Cost control |
| ISBN |
1-280-72221-5
9786610722211 0-470-30045-0 0-470-86735-3 0-470-86734-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cost Optimization of Structures; Contents; Preface; Acknowledgments; About the Authors; 1 Introduction; 1.1 The Case for Cost Optimization; 1.2 Cost Optimization of Concrete Structures; 1.2.1 Concrete Beams and Slabs; 1.2.2 Concrete Columns; 1.2.3 Concrete Frame Structures; 1.2.4 Bridge Structures; 1.2.5 Water Tanks; 1.2.6 Folded Plates and Shear Walls; 1.2.7 Concrete Pipes; 1.2.8 Concrete Tensile Members; 1.2.9 Cost Optimization Using the Reliability Theory; 1.2.10 Concluding Comments; 1.3 Cost Optimization of Steel Structures; 1.3.1 Deterministic Cost Optimization
1.3.2 Cost Optimization Using the Reliability Theory1.3.3 Fuzzy Optimization; 1.3.4 Concluding Comments; 2 Evolutionary Computing and the Genetic Algorithm; 2.1 Overview and Basic Operations; 2.2 Coding and Decoding; 2.3 Basic Operations in Genetic Algorithms; 2.4 GA with the Penalty Function Method; 2.4.1 Problem Formulation for Axial Force (Truss) Structures; 2.4.2 Genetic Algorithm with the Penalty Function Method; 2.5 Augmented Lagrangian Method; 2.6 GA with the Augmented Lagrangian Method; 2.6.1 Problem Formulation for Axial Force (Truss) Structures 2.6.2 Genetic Algorithm with the Augmented Lagrangian Method3 Cost Optimization of Composite Floors; 3.1 Introduction; 3.2 Minimum Cost Design of Composite Beams; 3.2.1 Cost Function; 3.2.2 Constraints; 3.2.3 Problem Formulation as a Mixed Integer-Discrete Nonlinear Programming Problem; 3.3 Solution by the Floating-Point Genetic Algorithm; 3.3.1 Binary Versus Floating-Point GA; 3.3.2 Crossover Operation for the Floating-Point GA; 3.3.3 Mutation Operation for the Floating-Point GA; 3.3.4 Floating-Point GA for Cost Optimization of Composite Floors; 3.4 Solution by the Neural Dynamics Method 3.5 Counter Propagation Neural (CPN) Network for Function Approximations3.6 Examples; 3.6.1 Example 1; 3.6.2 Example 2; 4 Fuzzy Genetic Algorithm for Optimization of Steel Structures; 4.1 Introduction; 4.2 Fuzzy Set Theory and Structural Optimization; 4.3 Minimum Weight Design of Axially Loaded Space Structures; 4.4 Fuzzy Membership Functions; 4.5 Fuzzy Augmented Lagrangian Genetic Algorithm; 4.6 Implementation and Examples; 4.6.1 Example 1; 4.6.2 Example 2; 4.7 Conclusion; 5 Fuzzy Discrete Multi-criteria Cost Optimization of Steel Structures; 5.1 Cost of a Steel Structure 5.2 Primary Contributing Factors to the Cost of a Steel Structure5.3 Fuzzy Discrete Multi-criteria Cost Optimization; 5.4 Membership Functions; 5.4.1 Membership Function for Minimum Cost; 5.4.2 Membership Function for Minimum Weight; 5.4.3 Membership Function for Minimum Number of Section Types; 5.5 Fuzzy Membership Functions for Criteria with Unequal Importance; 5.6 Pareto Optimality; 5.7 Selection of Commercially Available Discrete Shapes; 5.8 Implementation and a Parametric Study; 5.9 Application to High-Rise Steel Structures; 5.9.1 Example 1; 5.9.2 Example 2; 5.10 Concluding Comments 6 Parallel Computing |
| Record Nr. | UNINA-9910143750403321 |
Adeli Hojjat <1950->
|
||
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cost optimization of structures [[electronic resource] ] : fuzzy logic, genetic algorithms, and parallel computing / / Hojjat Adeli, Kamal C. Sarma
| Cost optimization of structures [[electronic resource] ] : fuzzy logic, genetic algorithms, and parallel computing / / Hojjat Adeli, Kamal C. Sarma |
| Autore | Adeli Hojjat <1950-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 |
| Descrizione fisica | 1 online resource (223 p.) |
| Disciplina |
620.00450151
721/.042 |
| Altri autori (Persone) | SarmaKamal C <1955-> (Kamal Chandra) |
| Soggetto topico |
Structural optimization - Mathematics
Skyscrapers - Design and construction - Cost control |
| ISBN |
1-280-72221-5
9786610722211 0-470-30045-0 0-470-86735-3 0-470-86734-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cost Optimization of Structures; Contents; Preface; Acknowledgments; About the Authors; 1 Introduction; 1.1 The Case for Cost Optimization; 1.2 Cost Optimization of Concrete Structures; 1.2.1 Concrete Beams and Slabs; 1.2.2 Concrete Columns; 1.2.3 Concrete Frame Structures; 1.2.4 Bridge Structures; 1.2.5 Water Tanks; 1.2.6 Folded Plates and Shear Walls; 1.2.7 Concrete Pipes; 1.2.8 Concrete Tensile Members; 1.2.9 Cost Optimization Using the Reliability Theory; 1.2.10 Concluding Comments; 1.3 Cost Optimization of Steel Structures; 1.3.1 Deterministic Cost Optimization
1.3.2 Cost Optimization Using the Reliability Theory1.3.3 Fuzzy Optimization; 1.3.4 Concluding Comments; 2 Evolutionary Computing and the Genetic Algorithm; 2.1 Overview and Basic Operations; 2.2 Coding and Decoding; 2.3 Basic Operations in Genetic Algorithms; 2.4 GA with the Penalty Function Method; 2.4.1 Problem Formulation for Axial Force (Truss) Structures; 2.4.2 Genetic Algorithm with the Penalty Function Method; 2.5 Augmented Lagrangian Method; 2.6 GA with the Augmented Lagrangian Method; 2.6.1 Problem Formulation for Axial Force (Truss) Structures 2.6.2 Genetic Algorithm with the Augmented Lagrangian Method3 Cost Optimization of Composite Floors; 3.1 Introduction; 3.2 Minimum Cost Design of Composite Beams; 3.2.1 Cost Function; 3.2.2 Constraints; 3.2.3 Problem Formulation as a Mixed Integer-Discrete Nonlinear Programming Problem; 3.3 Solution by the Floating-Point Genetic Algorithm; 3.3.1 Binary Versus Floating-Point GA; 3.3.2 Crossover Operation for the Floating-Point GA; 3.3.3 Mutation Operation for the Floating-Point GA; 3.3.4 Floating-Point GA for Cost Optimization of Composite Floors; 3.4 Solution by the Neural Dynamics Method 3.5 Counter Propagation Neural (CPN) Network for Function Approximations3.6 Examples; 3.6.1 Example 1; 3.6.2 Example 2; 4 Fuzzy Genetic Algorithm for Optimization of Steel Structures; 4.1 Introduction; 4.2 Fuzzy Set Theory and Structural Optimization; 4.3 Minimum Weight Design of Axially Loaded Space Structures; 4.4 Fuzzy Membership Functions; 4.5 Fuzzy Augmented Lagrangian Genetic Algorithm; 4.6 Implementation and Examples; 4.6.1 Example 1; 4.6.2 Example 2; 4.7 Conclusion; 5 Fuzzy Discrete Multi-criteria Cost Optimization of Steel Structures; 5.1 Cost of a Steel Structure 5.2 Primary Contributing Factors to the Cost of a Steel Structure5.3 Fuzzy Discrete Multi-criteria Cost Optimization; 5.4 Membership Functions; 5.4.1 Membership Function for Minimum Cost; 5.4.2 Membership Function for Minimum Weight; 5.4.3 Membership Function for Minimum Number of Section Types; 5.5 Fuzzy Membership Functions for Criteria with Unequal Importance; 5.6 Pareto Optimality; 5.7 Selection of Commercially Available Discrete Shapes; 5.8 Implementation and a Parametric Study; 5.9 Application to High-Rise Steel Structures; 5.9.1 Example 1; 5.9.2 Example 2; 5.10 Concluding Comments 6 Parallel Computing |
| Record Nr. | UNINA-9910830785603321 |
|
Adeli Hojjat <1950->
|
||
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cost optimization of structures : fuzzy logic, genetic algorithms, and parallel computing / / Hojjat Adeli, Kamal C. Sarma
| Cost optimization of structures : fuzzy logic, genetic algorithms, and parallel computing / / Hojjat Adeli, Kamal C. Sarma |
| Autore | Adeli Hojjat <1950-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 |
| Descrizione fisica | 1 online resource (223 p.) |
| Disciplina | 721/.042 |
| Altri autori (Persone) | SarmaKamal C <1955-> (Kamal Chandra) |
| Soggetto topico |
Structural optimization - Mathematics
Skyscrapers - Design and construction - Cost control |
| ISBN |
9786610722211
9781280722219 1280722215 9780470300459 0470300450 9780470867358 0470867353 9780470867341 0470867345 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cost Optimization of Structures; Contents; Preface; Acknowledgments; About the Authors; 1 Introduction; 1.1 The Case for Cost Optimization; 1.2 Cost Optimization of Concrete Structures; 1.2.1 Concrete Beams and Slabs; 1.2.2 Concrete Columns; 1.2.3 Concrete Frame Structures; 1.2.4 Bridge Structures; 1.2.5 Water Tanks; 1.2.6 Folded Plates and Shear Walls; 1.2.7 Concrete Pipes; 1.2.8 Concrete Tensile Members; 1.2.9 Cost Optimization Using the Reliability Theory; 1.2.10 Concluding Comments; 1.3 Cost Optimization of Steel Structures; 1.3.1 Deterministic Cost Optimization
1.3.2 Cost Optimization Using the Reliability Theory1.3.3 Fuzzy Optimization; 1.3.4 Concluding Comments; 2 Evolutionary Computing and the Genetic Algorithm; 2.1 Overview and Basic Operations; 2.2 Coding and Decoding; 2.3 Basic Operations in Genetic Algorithms; 2.4 GA with the Penalty Function Method; 2.4.1 Problem Formulation for Axial Force (Truss) Structures; 2.4.2 Genetic Algorithm with the Penalty Function Method; 2.5 Augmented Lagrangian Method; 2.6 GA with the Augmented Lagrangian Method; 2.6.1 Problem Formulation for Axial Force (Truss) Structures 2.6.2 Genetic Algorithm with the Augmented Lagrangian Method3 Cost Optimization of Composite Floors; 3.1 Introduction; 3.2 Minimum Cost Design of Composite Beams; 3.2.1 Cost Function; 3.2.2 Constraints; 3.2.3 Problem Formulation as a Mixed Integer-Discrete Nonlinear Programming Problem; 3.3 Solution by the Floating-Point Genetic Algorithm; 3.3.1 Binary Versus Floating-Point GA; 3.3.2 Crossover Operation for the Floating-Point GA; 3.3.3 Mutation Operation for the Floating-Point GA; 3.3.4 Floating-Point GA for Cost Optimization of Composite Floors; 3.4 Solution by the Neural Dynamics Method 3.5 Counter Propagation Neural (CPN) Network for Function Approximations3.6 Examples; 3.6.1 Example 1; 3.6.2 Example 2; 4 Fuzzy Genetic Algorithm for Optimization of Steel Structures; 4.1 Introduction; 4.2 Fuzzy Set Theory and Structural Optimization; 4.3 Minimum Weight Design of Axially Loaded Space Structures; 4.4 Fuzzy Membership Functions; 4.5 Fuzzy Augmented Lagrangian Genetic Algorithm; 4.6 Implementation and Examples; 4.6.1 Example 1; 4.6.2 Example 2; 4.7 Conclusion; 5 Fuzzy Discrete Multi-criteria Cost Optimization of Steel Structures; 5.1 Cost of a Steel Structure 5.2 Primary Contributing Factors to the Cost of a Steel Structure5.3 Fuzzy Discrete Multi-criteria Cost Optimization; 5.4 Membership Functions; 5.4.1 Membership Function for Minimum Cost; 5.4.2 Membership Function for Minimum Weight; 5.4.3 Membership Function for Minimum Number of Section Types; 5.5 Fuzzy Membership Functions for Criteria with Unequal Importance; 5.6 Pareto Optimality; 5.7 Selection of Commercially Available Discrete Shapes; 5.8 Implementation and a Parametric Study; 5.9 Application to High-Rise Steel Structures; 5.9.1 Example 1; 5.9.2 Example 2; 5.10 Concluding Comments 6 Parallel Computing |
| Record Nr. | UNINA-9911019922103321 |
|
Adeli Hojjat <1950->
|
||
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to shape optimization : theory, approximation, and computation / / J. Haslinger, R.A.E. MaÌkinen
| Introduction to shape optimization : theory, approximation, and computation / / J. Haslinger, R.A.E. MaÌkinen |
| Autore | Haslinger J |
| Pubbl/distr/stampa | Philadelphia, Pa., : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2003 |
| Descrizione fisica | 1 electronic text (xviii, 273 p.) : ill., digital file |
| Disciplina | 624.1/7713 |
| Altri autori (Persone) | MaÌkinenR. A. E |
| Collana | Advances in design and control |
| Soggetto topico | Structural optimization - Mathematics |
| ISBN |
1-68015-788-4
0-89871-869-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Why the mathematical analysis is important -- A mathematical introduction to sizing and shape optimization -- Sensitivity analysis -- Numerical minimization methods -- On automatic differentiation of computer programs -- Fictitious domain methods in shape optimization -- Applications in elasticity -- Fluid mechanical and multidisciplinary applications -- Appendix A: Weak formulations and approximations of elliptic equations and inequalities -- Appendix B: On parametrizations of shapes and mesh generation. |
| Record Nr. | UNINA-9911006786803321 |
|
Haslinger J
|
||
| Philadelphia, Pa., : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization and anti-optimization of structures under uncertainty [[electronic resource] /] / Isaac Elishakoff, Makoto Ohsaki
| Optimization and anti-optimization of structures under uncertainty [[electronic resource] /] / Isaac Elishakoff, Makoto Ohsaki |
| Autore | Elishakoff Isaac |
| Pubbl/distr/stampa | London, : Imperial College Press, c2010 |
| Descrizione fisica | 1 online resource (424 p.) |
| Disciplina | 624.177130151 |
| Altri autori (Persone) | ŌsakiMakoto <1960-> |
| Soggetto topico |
Structural optimization - Mathematics
Structural analysis (Engineering) - Mathematics Structural stability - Mathematics Computer-aided engineering |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-76006-8
9786612760068 1-84816-478-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Introduction; 1.1 Probabilistic Analysis: Bad News; 1.2 Probabilistic Analysis: Good News; 1.3 Convergence of Probability and Anti-Optimization; 2. Optimization or Making the Best in the Presence of Certainty/Uncertainty; 2.1 Introduction; 2.2 What Can We Get from Structural Optimization?; 2.3 Definition of the Structural Optimization Problem; 2.4 Various Formulations of Optimization Problems; 2.4.1 Overview of optimization problems; 2.4.2 Classification of optimization problems; 2.4.3 Parametric programming; 2.4.4 Multiobjective programming
2.5 Approximation by Metamodels2.6 Heuristics; 2.6.1 Overview of heuristics; 2.6.2 Basic approaches of single-point search heuristics; 2.6.2.1 Neighborhood solutions; 2.6.2.2 Basic algorithm of single-point search heuristics; 2.6.2.3 Greedy method; 2.6.3 Simulated annealing; 2.7 Classification of Structural Optimization Problems; 2.8 Probabilistic Optimization; 2.9 Fuzzy Optimization; 3. General Formulation of Anti-Optimization; 3.1 Introduction; 3.2 Models of Uncertainty; 3.3 Interval Analysis; 3.3.1 Introduction; 3.3.2 A simple example; 3.3.3 General procedure; 3.4 Ellipsoidal Model 3.4.1 Definition of the ellipsoidal model3.4.2 Properties of the ellipsoidal model; 3.5 Anti-Optimization Problem; 3.6 Linearization by Sensitivity Analysis; 3.6.1 Roles of sensitivity analysis in anti-optimization; 3.6.2 Sensitivity analysis of static responses; 3.6.3 Sensitivity analysis of free vibration; 3.6.4 Shape sensitivity analysis of trusses; 3.7 Exact Reanalysis of Static Response; 3.7.1 Overview of exact reanalysis; 3.7.2 Mathematical formulation based on the inverse of the modi ed matrix; 3.7.3 Mechanical formulation based on virtual load; 4. Anti-Optimization in Static Problems 4.1 A Simple Example4.2 Boley's Pioneering Problem; 4.3 Anti-Optimization Problem for Static Responses; 4.4 Matrix Perturbation Methods for Static Problems; 4.5 Stress Concentration at a Nearly Circular Hole with Uncertain Irregularities; 4.5.1 Introduction; 4.5.2 An asymptotic solution; 4.5.3 A worst-case investigation; 4.6 Anti-Optimization of Prestresses of Tensegrity Structures; 4.6.1 Introduction; 4.6.2 Basic equations; 4.6.2.1 Equilibrium equations; 4.6.2.2 Self-equilibrium forces; 4.6.2.3 Tangent stiffness matrix; 4.6.2.4 Lowest eigenvalue of tangent stiffness matrix 4.6.2.5 Compliance against external load4.6.3 Anti-optimization problem; 4.6.4 Numerical examples; 5. Anti-Optimization in Buckling; 5.1 Introduction; 5.2 A Simple Example; 5.3 Buckling Analysis; 5.4 Anti-Optimization Problem; 5.5 Worst Imperfection of Braced Frame with Multiple Buckling Loads; 5.5.1 Definition of frame model; 5.5.2 Worst imperfection of optimized frame; 5.5.3 Mode interaction; 5.5.4 Worst-case design and worst imperfection under stress constraints; 5.6 Anti-Optimization Based on Convexity of Stability Region 5.7 Worst Imperfection of an Arch-type Truss with Multiple Member Buckling at Limit Point |
| Record Nr. | UNINA-9910456133803321 |
|
Elishakoff Isaac
|
||
| London, : Imperial College Press, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization and anti-optimization of structures under uncertainty [[electronic resource] /] / Isaac Elishakoff, Makoto Ohsaki
| Optimization and anti-optimization of structures under uncertainty [[electronic resource] /] / Isaac Elishakoff, Makoto Ohsaki |
| Autore | Elishakoff Isaac |
| Pubbl/distr/stampa | London, : Imperial College Press, c2010 |
| Descrizione fisica | 1 online resource (424 p.) |
| Disciplina | 624.177130151 |
| Altri autori (Persone) | ŌsakiMakoto <1960-> |
| Soggetto topico |
Structural optimization - Mathematics
Structural analysis (Engineering) - Mathematics Structural stability - Mathematics Computer-aided engineering |
| ISBN |
1-282-76006-8
9786612760068 1-84816-478-5 |
| Classificazione |
90-0290C4774P99
MTA 090f |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; 1. Introduction; 1.1 Probabilistic Analysis: Bad News; 1.2 Probabilistic Analysis: Good News; 1.3 Convergence of Probability and Anti-Optimization; 2. Optimization or Making the Best in the Presence of Certainty/Uncertainty; 2.1 Introduction; 2.2 What Can We Get from Structural Optimization?; 2.3 Definition of the Structural Optimization Problem; 2.4 Various Formulations of Optimization Problems; 2.4.1 Overview of optimization problems; 2.4.2 Classification of optimization problems; 2.4.3 Parametric programming; 2.4.4 Multiobjective programming
2.5 Approximation by Metamodels2.6 Heuristics; 2.6.1 Overview of heuristics; 2.6.2 Basic approaches of single-point search heuristics; 2.6.2.1 Neighborhood solutions; 2.6.2.2 Basic algorithm of single-point search heuristics; 2.6.2.3 Greedy method; 2.6.3 Simulated annealing; 2.7 Classification of Structural Optimization Problems; 2.8 Probabilistic Optimization; 2.9 Fuzzy Optimization; 3. General Formulation of Anti-Optimization; 3.1 Introduction; 3.2 Models of Uncertainty; 3.3 Interval Analysis; 3.3.1 Introduction; 3.3.2 A simple example; 3.3.3 General procedure; 3.4 Ellipsoidal Model 3.4.1 Definition of the ellipsoidal model3.4.2 Properties of the ellipsoidal model; 3.5 Anti-Optimization Problem; 3.6 Linearization by Sensitivity Analysis; 3.6.1 Roles of sensitivity analysis in anti-optimization; 3.6.2 Sensitivity analysis of static responses; 3.6.3 Sensitivity analysis of free vibration; 3.6.4 Shape sensitivity analysis of trusses; 3.7 Exact Reanalysis of Static Response; 3.7.1 Overview of exact reanalysis; 3.7.2 Mathematical formulation based on the inverse of the modi ed matrix; 3.7.3 Mechanical formulation based on virtual load; 4. Anti-Optimization in Static Problems 4.1 A Simple Example4.2 Boley's Pioneering Problem; 4.3 Anti-Optimization Problem for Static Responses; 4.4 Matrix Perturbation Methods for Static Problems; 4.5 Stress Concentration at a Nearly Circular Hole with Uncertain Irregularities; 4.5.1 Introduction; 4.5.2 An asymptotic solution; 4.5.3 A worst-case investigation; 4.6 Anti-Optimization of Prestresses of Tensegrity Structures; 4.6.1 Introduction; 4.6.2 Basic equations; 4.6.2.1 Equilibrium equations; 4.6.2.2 Self-equilibrium forces; 4.6.2.3 Tangent stiffness matrix; 4.6.2.4 Lowest eigenvalue of tangent stiffness matrix 4.6.2.5 Compliance against external load4.6.3 Anti-optimization problem; 4.6.4 Numerical examples; 5. Anti-Optimization in Buckling; 5.1 Introduction; 5.2 A Simple Example; 5.3 Buckling Analysis; 5.4 Anti-Optimization Problem; 5.5 Worst Imperfection of Braced Frame with Multiple Buckling Loads; 5.5.1 Definition of frame model; 5.5.2 Worst imperfection of optimized frame; 5.5.3 Mode interaction; 5.5.4 Worst-case design and worst imperfection under stress constraints; 5.6 Anti-Optimization Based on Convexity of Stability Region 5.7 Worst Imperfection of an Arch-type Truss with Multiple Member Buckling at Limit Point |
| Record Nr. | UNINA-9910780883803321 |
|
Elishakoff Isaac
|
||
| London, : Imperial College Press, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
