What is it about?
In this Book Chapter, a brief description of data mining has been made, the most applicable techniques were reviewed, and the applications of machine learning, artificial intelligence, and statistical algorithms in structural control systems have been stated. Furthermore, for each technique, an attempt has been made to present several examples to familiarize readers more in the corresponding field as well as presenting an overall background of the researches done by several investigators worldwide.
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Why is it important?
Over the last few decades, taller and wider structures have been built because of enormous developments in the civil engineering area. These structures will be subject to external loads which can cause vibrational problems. Consequently, it is essential to control the vibrational motions to reduce the response and to improve the structure performance, safety, flexibility, serviceability, and structural reliability of these structures. In recent years, data mining technology has provided various solutions to structural damped systems because of its powerful computational capacity. This chapter attempts to present the recent developments of well-known data mining techniques in vibration control devices.
Perspectives
To the best of our knowledge, the current research is the first attempt to illustrate the latest data mining applications in structural control systems.
Meisam Gordan
Read the Original
This page is a summary of: Data Mining Technology for Structural Control Systems: Concept, Development, and Comparison, March 2020, IntechOpen,
DOI: 10.5772/intechopen.88651.
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