| |||||||||||||
Computational Response Control 2024 : Computational Response Control in Structures: Theory, Optimization and AI Applications | |||||||||||||
| |||||||||||||
Call For Papers | |||||||||||||
Call For Chapters
‘Computational Response Control in Structures: Theory, Optimization and AI Applications’ - SPRINGER This is an open invitation to submit a chapter to one of the sections of the book. The chapter is expected to include a background/literature review, method description including mathematical formulation, illustrations, problem(s) and application(s) solved, results and discussions, flowcharts/pseudo-codes, etc. Aim and Scope "Computational Response Control in Structures: Theory, Optimization, and AI Applications" is a comprehensive edited book that delves into the field of structural control with a focus on the integration of theory, optimization techniques, and artificial intelligence (AI) applications. The book is structured into sections that cover various control methods, including passive, semi-active, and active control, as well as specific structural types such as low-rise to high-rise buildings, bridges, and other structures. The book addresses important topics and themes such as the role of AI in structural control, optimization techniques for enhancing control performance, and the emergence of smart structures. It offers a timely exploration of the subject, considering the increasing demand for robust and efficient control strategies in the face of evolving design challenges. The approach taken in this book combines theoretical foundations with practical applications, showcasing case studies and real-world examples to illustrate the implementation of control systems. It also highlights the integration of AI and optimization techniques in structural control, providing readers with insights into the opportunities and challenges in this rapidly advancing field. This book serves as a resource for researchers, engineers, and professionals in the field of structural engineering, offering them a comprehensive understanding of the latest advancements in computational response control. SECTION I: State-of-the-art Review of Different Optimum Control Systems --- Optimum passive control --- Optimum semi-active control --- Optimum active control --- Optimum hybrid control SECTION II: State-of-the-art Review of Different Optimum Control Methods --- Optimization algorithms (gradient-based) in structural control --- Meta-heuristics in structural optimum control --- AI/Machine-learning methods in structural optimum control --- ... SECTION III: Application of AI Methods in Optimum Response Control in Structures SECTION IV: Computational Optimum Response Control in Building Structures --- Steel structures: Shear frame / MRFs --- Reinforced concrete structures --- Tall/high-rise buildings SECTION V: Computational Optimum Response Control in Special Structures: Heritage/Special Structures, etc. SECTION VI: Computational Optimum Response Control in any Types of Bridge Structures --- Simple bridges --- Cable-stayed bridges --- Suspension bridges --- Arch bridges --- Bridge with hybrid systems SECTION VII: Computational Optimum Response Control in Offshore Structure SECTION VIII: Computational Optimum Response Control in Industrial Structures: Transmission towers, etc Each chapter must contain an introduction, a background of the subject, a full theory of the control system and related formulations, detailed optimization/AI methods with flowcharts and pseudo-codes, developed results and discussion, and a conclusion. Important Dates: Chapter Proposal: June 15, 2024 Full Chapter Submission: July 15, 2024 Chapter Review Notification: August 30, 2024 Revised Chapter Due: Sep 20, 2024 Final Acceptance: Oct 30, 2024 Expected Publication Date: Nov 30, 2024 Editor: Dr. Salar Farahmand-Tabar, University of Zanjan If interested, please fill out the form (https://forms.gle/jx8U8KsdvUFvm5KY7) by June 15, 2024. Please contact the editor for any questions through (farahmandsalar@gmail.com). |
|