This contributed book focuses on optimization methods inspired by nature such as Harmony Search Algorithm, Drosophila Food-Search Algorithm, Cohort intelligence algorithm and its variations, fuzzy logic along with their hybridization variants. It also focuses on multi-objective optimization algorithms such as Non-Dominated Sorting Genetic Algorithm, Particle Swarm Optimization, Evolutionary Algorithm, Pareto Envelope Selection Algorithm, and Strength Pareto Evolutionary Algorithm. The content focuses on topics such as the optimal design of truss systems with various applications, the design and simulation of quarter car systems for comfort design, the road handling design and a balanced system, and topology optimization of 2-dimensional and 3-dimensional structure in linear elasticity, plasticity and fracture mechanics among others. This book is a useful reference for those in academia and industry.
Author(s): Ishaan R. Kale, Ali Sadollah
Series: Engineering Optimization: Methods and Applications
Publisher: Springer
Year: 2023
Language: English
Pages: 232
City: Singapore
Preface
Contents
Editors and Contributors
Part I Optimization of Weight, Shape and Size of Structures Using Different Nature-Inspired Metaheuristic Algorithms
1 Review of Tuning Mass Dampers and Application of Improved Harmony Search
1.1 Introduction
1.2 Review of TMD and ATMD
1.2.1 Tuned Mass Dampers
1.2.2 Active Tuned Mass Dampers
1.3 Modified Harmony Search Algorithm
1.4 The Optimization Problem
1.5 Numerical Examples
1.6 Conclusions
References
2 Optimal Design of Trusses: The Force Density Perspective
2.1 Introduction
2.1.1 Motivation of the Study
2.1.2 Archgrids, Cable Nets, and Polygonal Chains
2.1.3 Basic and Optimal Form-Finding Problems. Polygonal Chains of Minimum Weight
2.2 Force Density Method and Its Applications
2.2.1 The Concept of Force Density
2.2.2 Optimal Form-Finding in Terms of Force Densities
2.3 Numerical Examples
2.3.1 Single Cable of Minimum Volume
2.3.2 Cable Nets of Minimum Volume
2.3.3 Trusses of Minimum Volume
2.4 Conclusions
References
3 CI-SAPF for Structural Optimization Considering Buckling and Natural Frequency Constraints
3.1 Introduction
3.2 Cohort Intelligence (CI)
3.3 Test Problems
3.4 Result Analysis and Discussion
3.5 Conclusion
References
4 Improved Drosophila Food-Search Algorithm for Structural and Mechanical Optimization Problems
4.1 Introduction
4.2 Drosophila Food-Search Algorithm (DFO)
4.3 Improved Drosophila Food-Search Algorithm (IDFO)
4.4 Numerical Tests
4.5 Design of Welded Beam Problem
4.6 Design of Tubular Column System
4.6.1 Design of 72-Bar Truss Structure
4.7 Non-Parametric Statistical Tests
4.8 Conclusions
References
5 Truss Structure Optimization Using Constrained Version of Variations of Cohort Intelligence
5.1 Introduction
5.2 Mechanism of Follow-Best and Follow-Better Approach with SAPF
5.3 Truss Structure Test Problems
5.4 Results and Discussion
5.5 Conclusions and Future Directions
References
6 Hybridization of Cohort Intelligence and Fuzzy Logic (CIFL) for Truss Structure Problems
6.1 Introduction
6.2 Cohort Intelligence (CI) Algorithm
6.2.1 Self-Adaptive Penalty Function (SAPF)
6.3 Fuzzy Logic
6.3.1 Fuzzy Logic Architecture
6.4 Framework of CIFL
6.5 Three-Bar Truss Structure Problems
6.6 Results Analysis and Discussion
6.7 Conclusions
References
7 Optimum Design of BRB Frame Based on Drift Uniformity, Structure Weight, and Seismic Parameters Using Nonlinear Time History Analysis
7.1 Introduction
7.2 Multi-objective Optimization
7.2.1 Structural Geometry
7.2.2 Nonlinear Structural Modeling
7.2.3 Time History Analysis
7.2.4 Ground Motion Records
7.3 Optimization Process
7.3.1 Formulation of the Optimization Problem
7.3.2 Design Variables
7.3.3 Design Constraints
7.3.4 Objective Functions
7.3.5 Evaluation of Optimization Results
7.4 Results of Optimization Algorithms for 6-Story Structures
7.5 Results of Optimization Algorithms for 10-Story Structures
7.6 Comparison of the Results of Optimization Algorithms for 6- and 10-Story Structures
7.7 Comparison of the Results of All Multi-objective Optimization of 6- and 10-Story Structures with the Results of Static Linear Analysis
7.8 Conclusion
References
Part II Topology Optimization and Design of Structures Under Dynamic Conditions Using Finite Element Methods
8 Topology Optimization in Linear Elasticity, Plasticity and Fracture Mechanics
8.1 Introduction
8.2 Existing Methods
8.3 Mathematical Framework of Shape Optimization
8.3.1 Problem Formulation
8.3.2 Hadamard's Approach
8.3.3 Shape Derivative Computation for Linear Elasticity
8.4 Level-Set Method
8.4.1 Ersatz Material Approach
8.4.2 Remeshing
8.4.3 Regularization and Extension of the Shape Derivative (8.14)
8.4.4 Imposing a Non-optimizable Domain
8.4.5 Shape Optimization Algorithm
8.5 Numerical Results: Linear Elasticity
8.5.1 3D Cantilever
8.5.2 3D L-beam
8.6 TO in Plasticity with Linear Kinematic and Linear Isotropic Hardening
8.6.1 Governing Equations
8.6.2 Variational (Primal) Formulation
8.6.3 Penalization and Regularization
8.6.4 Shape Derivative Computation
8.6.5 Numerical Implementation
8.6.6 Regularization and Extension of the Shape Derivative
8.7 Numerical Results: Plasticity
8.7.1 2D Cantilever
8.7.2 3D Cantilever
8.7.3 3D Wedge
8.8 TO in Fracture Mechanics
8.8.1 Governing Laws and Variational Formulation
8.8.2 Optimization Problem
8.8.3 Shape Derivative Computation
8.8.4 Time Discretized State and Adjoint Equations
8.8.5 Numerical Implementation
8.9 Numerical Results: Fracture
8.9.1 2D Cantilever
8.9.2 2D L-Beam
8.9.3 Coarse 3D Column
8.9.4 Fine 3D Column
8.10 Conclusion
References
9 Design of Quarter Car Model for Active Suspension System and Control Optimization
9.1 Introduction
9.2 Methodology
9.3 Results
9.4 Discussion
9.5 Future Scope
9.6 Conclusions
References
