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Showing 1 to 10 of 10 for “"Damage Classification"”.
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Structural Damage Classification using Support Vector Machines
… to classify crack and corrosion metallic damages using a time-frequency representation method and support vector machines is investigated. Piezoelectric ceramic actuators are utilized to generate guided wave signals on a set of aluminum beam coupons with different damage features, such as …
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Damage classification in reinforced concrete beam by acoustic emission signal analysis
… monitoring (SHM) is known as assessment on damage detection in structural engineering. Nowadays, the application of SHM has been widely used especially on the continuous real time monitoring system with minimum labour involvement. One of the most excellent tools in SHM for real time …
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Phased Array Damage Detection and Damage Classification in Guided Wave Structural Health Monitoring
… and approaches in SHM have been developed for damage detection, diagnosis, and prognosis. Among the methods developed, the guided Lamb wave based SHM can be a promising technique for damage evaluation since it provides reliable damage information through signals propagating over large distance …
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Implementation of vibration-based structural health monitoring technique for identification of simulated corrosion damage in steel pipeline using neural network
… in correlating corrosion behaviour and its damage severity. This research proposed several signal corrosion features extracted from time domain analysis which provide substantial information related to corrosion behaviour for damage classification analysis. Several corrosion damage scenarios …
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Deep learning-based surrogate models for post-earthquake damage assessment
<p>"Seismic damage assessment is a critical step to enhance community resilience in the wake of an earthquake. This study aims to develop deep learning-based surrogate models for widely used fragility curves to achieve more accurate and rapid assessment in practice. These surrogate models are based …
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3D Deep Learning Segmentation for Fiber Break Analysis of Carbon Fiber Reinforced Polymer Tomograms
… scale of fiber and matrix lead to complex damage mechanisms, as well as make failure difficult to predict, slowing the progress of CFRP adoption over traditional engineering materials such as metals. X-ray computed tomography allows for non-destructive, volumetric imaging of CFRPs under …
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An Interoperable Framework for Real-Time Infrastructure Monitoring and Deep Learning–Based Post-Disaster Damage Assessment for Urban Resilience
Rapid infrastructure damage assessment is essential for effective emergency response, recovery planning, and urban resilience following extreme hazard events. Conventional post-disaster damage assessment relies heavily on manual field surveys, which are slow, labor-intensive, and often infeasible …
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The Effect of Atmospheric Aging on a Hybrid Polymer Matrix Composites' Material Properties
… element models were developed to understand the damage mechanisms of the hybrid composite system.</p> <p>Finally, the utility of waveform based broadband acoustic emission was explored to identify the types of damage which were occurring within the hybrid composite, as well as which material a …
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Towards Multiclass Damage Detection and Localization using Limited Vibration Measurements
Traditional vibration-based damage detection methods provide structural health information based on their measured data (i.e., acceleration and displacement response). Over the last few decades, various model-based and time-frequency methods have shown great promises for damage identification and …
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Assessment of seismic damage to civil structures using statistical pattern recognition techniques and time series analysis
The ability to estimate seismic induced damage to civil infrastructure is undoubtedly one of the most important challenges faced by structural engineers. In this research two complementary methods of damage estimation using either knowledge of the structure and earthquake or recorded structural …