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Computational Response Control 2024 : Computational Response Control in Structures: Theory, Optimization and AI Applications
Computational Response Control 2024 : Computational Response Control in Structures: Theory, Optimization and AI Applications

Computational Response Control 2024 : Computational Response Control in Structures: Theory, Optimization and AI Applications

SPRINGER Book
Submission Deadline: December 15, 2023
Notification of Acceptance: December 15, 2023
Camera Ready Version Due: December 15, 2023




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 Dec 15, 2023
Full Chapter Submission: Jan 15, 2024
Chapter Review Notification: Feb 30, 2024
Revised Chapter Due: March 20, 2024
Final Acceptance: March 30, 2024
Expected Publication Date: May 30, 2024

Editor:
Dr. Salar Farahmand-Tabar, University of Zanjan


If interested, please fill out the form (https://forms.gle/jx8U8KsdvUFvm5KY7)
by Jan 15, 2024.
Please contact the editor for any questions through ([email protected]).


Credits and Sources

[1] Computational Response Control 2024 : Computational Response Control in Structures: Theory, Optimization and AI Applications


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