Optimization Methods for Structural Engineering

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.

Gives in-depth discussion about technical issues of truss structures Provides applications of various metaheuristics over structural optimization Covers single and multi-objective optimization problems

Autorentext

Dr. Ishaan R. Kale received his Ph.D. at the faculty of mechanical engineering, Symbiosis International University, Pune, India, in 2021. He received his Master's in Mechanical Design Engineering from Maharashtra Institute of Technology (affiliated with Pune University, India). His research interest lies in design engineering, computational intelligence, and nature-inspired optimization techniques, viz. probability collectives, particle swarm optimization, genetic algorithm, hybrid metaheuristics, also in game theory, operation research and numerical methods. Dr. Kale has published several research articles and a book on constraint handling in cohort intelligence. Currently, he is working as a Research Assistant Professor at the Institute of Artificial Intelligence, MIT World Peace University, Pune, India. He is also involved as an active research member of the Optimization and Agent Technology Research Lab. Dr. Ali Sadollah received his Ph.D. from the department of mechanical engineering, University of Malaya, Malaysia, in 2013. He served as a postdoctoral research fellow at universities such as Korea University and Nanyang Technological University. Currently, he is an assistant professor at the University of Science and Culture, Iran. He is among the top 2 percent of the world's researchers, according to a recent Stanford University study, and the inventor of two metaheuristic optimization methods named as water cycle algorithm and neural network algorithm. His research interests include algorithm development, optimization and metaheuristics, applications of soft computing methods in engineering, computational solid mechanics, finite element method and cold roll forming process. Dr. Sadollah has published 3 books, contributed scientifically to over 100 scientific research and was invited to participate in numerous international and national events.

Inhalt
Review of turning mass dampers and application of improved harmony search.- Optimal design of truss systems: The force density perspective.- CI-SAPF for structural optimization considering Buckling and Natural Frequency constraints.- Improved Drosophila Food-Search Algorithm for Structural and Mechanical Optimization Problems.- Topology optimization in linear elasticity, plasticity and fracture mechanics.- Application of Constrained version of Variations of Cohort Intelligence for Truss Structure Problems.- Hybridization of Cohort Intelligence and Fuzzy Logic (CIFL) for truss structure problems.- Structural Optimization of ATV chassis Using FEA Analysis.- Design of Quarter Car Model for Active Suspension System and Control Optimization using MATLAB.- Explicit dynamic crash analysis of car of different Materials against a wall using ANSYS.