Dynamics of Civil Structures, Volume 2: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the second volume of nine 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 the Dynamics of Civil Structures, including papers on:
Structural Vibration Humans & Structures Innovative Measurement for Structural Applications Smart Structures and Automation Modal Identification of Structural Systems Bridges and Novel Vibration Analysis Sensors and Control.
Preface, Particle Filters and Auto-Encoders Combination for Damage
Diagnosis on Hysteretic Non-Linear, Structures Subject to Changing
Environmental Conditions, A New Benchmark Problem for Structural Damage
Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure,
Implementation of an Organic Database Structure for Population-Based
Structural Health Monitoring, Estimation of Blade Forces in Wind Turbines
Using Strain Measurements Collected on Blades, On Health-State Transition
Models for Risk-Based Structural Health Monitoring, Cointegration for
Structural Damage Detection Under Environmental Variabilities: An
Experimental Study, Footbridge Vibrations and Modelling of Pedestrian Loads,
Multi-LSTM-Based Framework for Ambient Intelligence, Operational Modal
Analysis and Finite Element Model Updating of a 53-Story Building, An
Overview of Deep Learning Methods Used in Vibration-Based Damage Detection in
Civil Engineering, Transfer Learning from Audio Domains a Valuable Tool for
Structural Health Monitoring, Experimental Evaluation of Drive-by Health
Monitoring on a Short-Span Bridge Using OMA Techniques, Investigation of
Low-Cost Accelerometer Performance for Vibration Analysis of Bridges,
Real-Time Human Cognition of Nearby Vibrations Using Augmented Reality,
Understanding Errors from Multi-Input-Multi-Output (MIMO) Testing of a
Cantilever Beam, Load-Displacement Behavior Clustering of RC Shear Walls
Using Functional Data Analysis.
Kirk Grimmelsman, Intellectual Infrastructure Systems, Philadelphia, USA.
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