Data Mining in Structural Dynamic Analysis
Magd Abdel Wahab (Hrsg.), Nuno M. M. Maia (Hrsg.), Linya Liu (Hrsg.), Yun Lai Zhou (Hrsg.), Elói Figueiredo (Hrsg.)
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Naturwissenschaften, Medizin, Informatik, Technik / Mechanik, Akustik
Beschreibung
This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.
Kundenbewertungen
Structural health monitoring, Hilbert transforms, Artificial neural networks (ANN), Structural design optimization, Structural damage localization, Image segmentation algorithm, Model updating, Wind turbine blade condition, Damage identification, BIM management, Bridge design optimization, Particle swarm optimization algorithm, Life-cycle analysis, Wavelet theory