Data Mining in Structural Dynamic Analysis A Signal Processing Perspective /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Zhou, Yun Lai (Editor, http://id.loc.gov/vocabulary/relators/edt), Wahab, Magd Abdel (Editor, http://id.loc.gov/vocabulary/relators/edt), Maia, Nuno M. M. (Editor, http://id.loc.gov/vocabulary/relators/edt), Liu, Linya (Editor, http://id.loc.gov/vocabulary/relators/edt), Figueiredo, Elói (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Mechanics.; Mechanics, Applied.; Data mining.; Building repair.; Buildings-Repair and reconstruction.; Computer-aided engineering.; Buildings-Design and construction.; Building.; Construction.; Engineering, Architectural.; Classical Mechanics.; Solid Mechanics.; Data Mining and Knowledge Discovery.; Building Repair and Maintenance.; Computer-Aided Engineering (CAD, CAE) and Design.; Building Construction and Design.
• Physical Description: X, 169 p. 91 illus., 73 illus. in color. online resource.
• ISBN: 9789811505010
• DOI: 10.1007/978-981-15-0501-0

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.