Optimization of Tuned Mass Dampers: Using Active and Passive Control (Studies in Systems, Decision and Control, 432)

✍ Scribed by Gebrail Bekdaş (editor), Sinan Melih Nigdeli (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 193
• Category: Library

✦ Synopsis

This book is a timely book to summarize the latest developments in the optimization of tuned mass dampers covering all classical approaches and new trends including metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. Another difference and advantage of the book are to provide chapters about several types of control types including passive tuned mass dampers, active tuned mass dampers, tuned liquid dampers, tuned liquid column dampers and inerter dampers.
Tuned mass dampers (TMDs) are vibration absorber devices used in all types of mechanic systems. The key factor in the design is an effective tuning of TMDs for the desired performance. In practice, several high-rise structures and bridges were designed by including TMDs. Also, TMDs were installed after the construction of the structures after several negative experiences resulting from the disturbing sway of the structures. In optimum design, several closed-form expressions have been proposed for optimum frequency and damping ratio of TMDs, but the exact optimization requires iterative optimization approaches. The current trend is to use evolutionary algorithms and metaheuristic optimization methods to reach the goal.

✦ Table of Contents

Preface
Contents
Introduction and Overview: Structural Control and Tuned Mass Dampers
1 Introduction
1.1 Vibrations
2 Systems Dynamics and Control
2.1 Control
2.2 Automatic Control
2.3 System
2.4 Control Systems
3 Structural Control Systems
3.1 Active Control Systems
3.2 Passive Control Systems
3.3 Hybrid Control Systems
3.4 Semi-active Control Systems
4 Content of the Book “Optimization of Tuned Mass Dampers-Using Active and Passive Control
References
Passive Control via Mass Dampers: A Review of State-Of-The-Art Developments
1 Introduction
2 Passive Control Systems
2.1 Metallic Damper
2.2 Friction Damper
2.3 Visco-Elastic Damper
2.4 Viscous Damper
2.5 Tuned Mass Damper (TMD)
2.6 Tuned Liquid Damper (TLD)
2.7 Tuned Mass-Damper-Inerter
3 Tuned Mass Damper (TMD) in Civil Engineering
3.1 Historical Development of TMDs
4 Tuned Liquid Damper (TLD) in Civil Engineering
4.1 Historical Development of TLDs
References
Introduction and Review on Active Structural Control
1 Introduction
2 Active Control System
3 Literature Research
4 Conclusion
References
Metaheuristics-Based Optimization of TMD Parameters in Time History Domain
1 Introduction
2 Flower Pollination Algorithm
3 Numerical Examples
4 Numerical Examples
5 Conclusion
References
Robust Design of Different Tuned Mass Damper Techniques to Mitigate Wind-Induced Vibrations Under Uncertain Conditions
1 Introduction
2 Tuned Mass Damper-Structure Interaction Model Subjected to Wind Load
3 Motion-Based Design Method Under Uncertain Conditions
4 Application Example
4.1 Description of the Benchmark Structure and Preliminary Analysis of Its Structural Behavior
4.2 Motion-Based Design of the Benchmark Structure Equipped with ATMD Under Uncertain Conditions
4.3 Motion-Based Design of the Benchmark Structure Equipped with STMD Under Uncertain Conditions
4.4 Motion-Based Design of the Benchmark Structure Equipped with PTMD Under Uncertain Conditions
4.5 Discussion of the Results
5 Conclusions
References
Optimal Seismic Response Control of Adjacent Buildings Coupled with a Double Mass Tuned Damper Inerter
1 Introduction
2 Equations of Motion for Adjacent Controlled Buildings
3 Grey Wolf Optimizer (GWO) Algorithm
4 Numerical Study
4.1 Verification of GWO Algorithm for the Optimal Design of the Proposed Systems (MPS1 and MPS2)
4.2 Seismic Response of the Proposed Systems
4.3 Performance Under a Wide Range of Ground Motions
5 Conclusions
Appendix
References
Optimization of Tuned Liquid Dampers for Structures with Metaheuristic Algorithms
1 Introduction
2 Methodology
2.1 Optimum Design of Tuned Liquid Dampers via Teaching-Learning Based Optimization Algorithm
2.2 Optimum Design of Tuned Liquid Dampers via Jaya Algorithm
2.3 Design Parameters of Tuned Liquid Dampers
3 The Numerical Example
4 Conclusions
References
Semi-active Tuned Liquid Column Dampers with Variable Natural Frequency
1 Introduction
2 Tuned Liquid Column Dampers
2.1 Mathematical Description
2.2 Technologies for Semi-active Natural Frequency Tuning
3 Semi-Active Tuned Liquid Column Dampers with Movable Panels
3.1 Mathematical Description
3.2 Experimental Validation
4 Semi-active Tuned Liquid Column Dampers with Closable Cells
4.1 Mathematical Description
4.2 Experimental Validation
5 Conclusion
References
Optimum Tuning of Active Mass Dampers via Metaheuristics
1 Introduction
2 Active Control of Structures via ATMDs
3 Metaheuristic Algorithms
3.1 Flower Pollination Algorithm
3.2 Teaching–Learning-Based Optimization
3.3 Jaya Algorithm
4 Methodology
4.1 The Design Variables
4.2 The Optimization Objective
4.3 The Optimization Method
5 The Numerical Example
6 Conclusions
References
Machine Learning-Based Model for Optimum Design of TMDs by Using Artificial Neural Networks
1 Introduction
2 Optimization Method: Flower Pollination Algorithm (FPA)
3 Artificial Neural Networks (ANNs)
4 The ANNs Model for TMD
5 Numerical Investigations
6 Results and Conclusion
References