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Data Mining in Structural Dynamic Analysis

A Signal Processing Perspective

  • Yun Lai Zhou
  • Magd Abdel Wahab
  • Nuno M. M. Maia
  • Linya Liu
  • Elói Figueiredo
Book

About this book

Introduction

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.

Keywords

Damage identification Structural design optimization Model updating Life-cycle analysis Hilbert transforms Wavelet theory Bridge design optimization Particle swarm optimization algorithm Artificial neural networks (ANN) Structural damage localization Structural health monitoring Image segmentation algorithm Wind turbine blade condition BIM management

Editors and affiliations

  • Yun Lai Zhou
    • 1
  • Magd Abdel Wahab
    • 2
  • Nuno M. M. Maia
    • 3
  • Linya Liu
    • 4
  • Elói Figueiredo
    • 5
  1. 1.Department of Civil and Environmental EngineeringNational University of SingaporeSingaporeSingapore
  2. 2.Faculty of Engineering and ArchitectureGhent University, Laboratory SoeteGhentBelgium
  3. 3.Department of Mechanical EngineeringTechnical University Of LisbonLisbonPortugal
  4. 4.Engineering Research Center of Railway Environment Vibration and Noise, Ministry of EducationEast China Jiaotong UniversityNanchangChina
  5. 5.Faculty of EngineeringLusófona UniversityLisbonPortugal

Bibliographic information

Industry Sectors
Energy, Utilities & Environment
Engineering