£121.46

Springer Optimization of Tuned Mass Dampers - 432 Series

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Description

This technical book from Springer provides a comprehensive summary of the latest developments in tuned mass damper optimization. It covers a wide range of classical approaches alongside modern trends, such as the application of metaheuristic algorithms. Readers can explore how artificial intelligence and machine learning methods are used to predict optimum results, allowing for the bypass of long optimization processes. The text offers a detailed look at various control types, providing specialized knowledge on passive tuned mass dampers, active tuned mass dampers, tuned liquid dampers, tuned liquid column dampers, and inerter dampers. This resource is designed for those looking to understand both traditional methods and the new computational directions in systems, decision, and control.

Key Features

Covers classical optimization approaches and new trends like metaheuristic algorithms for modern engineering needs.

Includes artificial intelligence and machine learning methods to predict results and reduce optimization time.

Explores multiple control types including passive and active tuned mass dampers for diverse applications.

Provides technical details on tuned liquid dampers and tuned liquid column dampers.

Features specialized content regarding inerter dampers to expand your technical knowledge base.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 April 2022
Listed Since
09 February 2022

Barcode

No barcode data available

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