Structural Health Monitoring & Damage Detection, Volume 7

Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017
Softcover Nachdruck of the original 1. Auflage 2017
ISBN: 978-3-319-85320-8
Verlag: Springer

Buch, Englisch, 97 Seiten, Previously published in hardcover, Format (B × H): 210 mm x 279 mm, Gewicht: 454 g

Reihe: Conference Proceedings of the Society for Experimental Mechanics Series

Structural Health Monitoring & Damage Detection, Volume 7: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring & Damage Detection, including papers on:

Structural Health Monitoring

Damage Detection

System Identification

Active Controls

Zielgruppe

Research

Autoren/Hrsg.

Niezrecki, Christopher

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Werkstoffprüfung
• Technische Wissenschaften Bauingenieurwesen Gebäudemanagement, Gebäudeschäden
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Akustik, Tontechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik

Inhaltsverzeichnis

Chapter 1.Exploiting Spatial Sparsity in Vibration-based Damage Detection.- Chapter 2.Multi-Source Sensing and Analysis for Machine-Array Condition Monitoring.- Chapter 3.Wavelet Transform-Based Damage Detection in Reinforced Concrete Using an Air-Coupled Impact-Echo Method.- Chapter 4. Damage Detection Based on Strain Transmissibility for Beam Structure by Using Distributed Fiber Optics.- Chapter 5.Modal Parameters Estimation of an Offshore Wind Turbine Using Measured Acceleration Signals from the Drive Train.- Chapter 6.Structural Damage Detection in Real-Time: Implementation of 1D Convolutional Neural Networks for SHM Applications.- Chapter 7.Monitoring the Health of a Cantilever Beam Using Nonlinear Modal Tracking.- Chapter 8.Using Modal Parameters for Structural Health Monitoring.- Chapter 9.Current Challenges with BIGDATA Analytics in Structural Health Monitoring.- Chapter 10.Detection of Cracks in Beams Using Treed Gaussian Processes.

Über Autor(innen)

Dr. Christopher Niezreck is a Professor, and Director at the Center for Wind Energy and Co-director of the Structural Dynamics & Acoustic Systems Laboratory at the University of Massachusetts, Lowell.