Data Mining in Structural Dynamic Analysis A Signal Processing Perspective /

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 precis...

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Bibliographic Details
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:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Chapter 1 - Damage detection for structural health monitoring of bridges as a knowledge discovery in databases process
  • Chapter 2 - Structural Health Monitoring of Periodic Infrastructure: A Review and Discussion
  • Chapter 3 - Railway Wheel Out-Of-Roundness and Its Effects on Vehicle-Track Dynamics: A Review
  • Chapter 4 - Dynamic Response Analysis of Wind Turbines under Long-period Ground Motions
  • Chapter 5 - Intelligent Image Analysis Technology and Application for Rail Track Inspection
  • Chapter 6 - Investigation on the effect of high-frequency torsional impacts on the torsional vibration of an oilwell drill string in slip phase
  • Chapter 7 - Carriage-rail-viaduct coupling analysis using dynamic compliance method
  • Chapter 8 - Dynamic response reconstruction to supplement the data insufficiency
  • Chapter 9 - A proposed method for the use of the IBIS­FS in experimental modal analysis of Buildings. .