Optimization Methods for Structural Engineering (eBook)

Ishaan R. Kale, Ali Sadollah (Herausgeber)

eBook Download: PDF

2023 | 2023
XIII, 225 Seiten
Springer Nature Singapore (Verlag)
978-981-99-2378-6 (ISBN)

Infos

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.

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.

Produkt-Details

• Erscheint lt. Verlag: 6.6.2023
• Reihe/Serie: Engineering Optimization: Methods and Applications
• Reihe/Serie: Engineering Optimization: Methods and Applications
• Zusatzinfo: XIII, 225 p. 127 illus., 99 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
• Themenwelt: Naturwissenschaften ► Physik / Astronomie
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Fahrzeugbau / Schiffbau
• Themenwelt: Technik ► Luft- / Raumfahrttechnik
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: cable stayed bridge • Elasto-plastic materials and structures • Introduction to optimization methods • Minimum weight • Optimization of Structures • shape optimization • Topology Optimization • Vehicle Structural Optimization
• ISBN-10: 981-99-2378-6 / 9819923786
• ISBN-13: 978-981-99-2378-6 / 9789819923786