Titlebook: Civil Structural Health Monitoring; Proceedings of CSHM- Waleed Abdullah,Muhammad Tariq Chaudhary,Abdullah Conference proceedings 2024 The

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Non-destructive Damage Identification of Blended Concrete Systems Using Embedded Piezo Sensors,ve sensing technique in the SHM domain is the electro-mechanical impedance (EMI) technique. The present study addresses the gap with an experimental investigation into damage identification in blended concrete systems under compression loading condition using embedded piezo sensors (EPS) through EMI

myopia

Vision Based Damage Assessment of Stone Masonry Bridges Using Convolutional Neural Network,tion or surrounded by water bodies. To address this challenge, the research paper introduces a comprehensive investigation into the detection of damage in stone masonry bridges. It proposes the implementation of Convolutional Neural Networks (CNNs) to identify and characterize damage within these hi

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Unveiling Hidden Insights in Structural Behavior of Columns Using Wavelet Transform and Horizontal inter-cycle comparisons. Through the diligent application of these systematic procedures, this research endeavours to unearth latent dynamics within short columns subjected to cyclic loading, thus contributing significantly to the advancement of knowledge regarding their behaviour and structural in

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PML Based SHM of RC Industrial Buildings Through Fragility Curves,ound acceleration (PGA) and spectral acceleration (Sa) are used as earthquake intensity parameters, while damage index (DI) and maximum inter-story drift ratio (MIDR) are considered as damage measure (DM) parameters. Four different damage-to-loss functions were used to obtain loss results from struc

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