Optimization of Tuned Mass Dampers: Using Active and Passive Control

This book provides an up-to-date overview of the latest developments in the optimization of tuned mass dampers, including classical approaches, new trends, and artificial intelligence and machine learning methods. It covers various types of control types and highlights the importance of TMDs in the design of high-rise structures and bridges.

Format: Paperback / softback
Length: 187 pages
Publication date: 09 April 2023
Publisher: Springer Nature Switzerland AG

This book is a timely and comprehensive resource that summarizes the latest developments in the optimization of tuned mass dampers (TMDs), encompassing all classical approaches and emerging trends, including metaheuristic algorithms. Moreover, artificial intelligence and machine learning methods are integrated to predict optimal results by bypassing lengthy optimization processes. Another notable distinction of this book is its coverage of various types of control, including passive tuned mass dampers, active tuned mass dampers, tuned liquid dampers, tuned liquid column dampers, and inerter dampers.

TMDs are vibration absorber devices utilized in diverse mechanical systems. The design of TMDs is crucial for achieving desired performance. In practice, numerous high-rise structures and bridges have incorporated TMDs to mitigate sway disturbances. After negative experiences with structures' swaying, TMDs were retrofitted post-construction. Optimal frequency and damping ratio of TMDs have been proposed using closed-form expressions, but precise optimization necessitates iterative approaches. The current trend in design involves the use of evolutionary algorithms and metaheuristic optimization methods to attain the desired outcome.

In conclusion, this book serves as a valuable resource for engineers, researchers, and practitioners seeking to enhance the performance of tuned mass dampers through innovative optimization techniques. Its comprehensive coverage of classical and emerging approaches, coupled with the integration of AI and machine learning methods, empowers users to design and optimize TMDs effectively, contributing to the stability and safety of structures.

Weight: 308g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030983451
Edition number: 1st ed. 2022