Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7, 1st ed. 2016 Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016 Conference Proceedings of the Society for Experimental Mechanics Series

Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early fi ndings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on:

? Structural Health Monitoring

? Damage Detection

? Numerical Modeling

? Mechatronics

? System Identifi cation

? Active Controls

1 Development And Characterization of an ITO Nanocomposite Film Sensor for Damage Detection.- 2 Fiber Optic Sensor Arrays for Real-Time Virtual Instrumentation and Control of Flexible Structures.- 3 On the Output-only Vibration-based Damage Detection of Frame Structures.- 4 On the Influence of Sample Length and Measurement Noise on the Stochastic Subspace Damage Detection Technique.- 5 Quantification of Structural Damage with Self-Organizing Maps.- 6 Accuracy Enhancement Of A Device For Automated Underbridge Inspections.- 7 A Brief Overview of Mechatronics.- 7 Enhanced Vibration Damping by Means of a Negative Capacitance.- 8 Vehicle Tracking for Bridge Load Dynamics Using Vision Techniques.- 10 Model Based System Testing: Bringing Testing and Simulation Close Together.- 11 Time-varying System Identification Using a Hybrid Blind Source Separation Method.- 12 An Energy Measure for Mode Localization.- 13 Vibration Control on a Space Flexible Structure with a PZT Stack Actuator Using Strain and MPPF Control.- 14 Multi-reference Time-Frequency Active Control of Vehicle Interior Road Noise.- 15 Wireless Monitoring of the Dynamic Behaviour of Railway Catenary Systems.- 16 Functional Series TARMA Models for Non-stationary Tool Vibration Signals Representation and Wear Etimation.

Includes supplementary material: sn.pub/extras