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Sep 2026

Development of an efficient AI model for fault identification and directional AE source identification in railway steel tracks

The safety and durability of railway infrastructure rely on the timely and accurate identification of structural defects before critical failures arise. Acoustic emission (AE) sensing has become a potential real-time monitoring technique. Conventional multi-sensor identification techniques are generally not feasible fo...

Suman Dey, A. Datta · 0 citations
Aug 2026

Artificial neural network-based approach for structural health monitoring of earthquake-affected industrial structures

The purpose of this study is to develop a reliable and rapid method for seismic damage detection in industrial structures using artificial neural networks (ANN). Industrial buildings often lack traditional seismic-resistant elements like shear walls, making them more vulnerable to earthquake-induced damage. Due to...

T. Ekambaram, G. Raj, A. Datta et al. · 0 citations
Open access Aug 2026

An artificial intelligence model for rapid health assessment of earthquake-affected shear wall buildings: a disaster mitigation study

Rapid post-earthquake health assessment of shear wall buildings is critical for effective disaster mitigation and swift rehabilitation, particularly in earthquake‑affected urban areas. This study developed a novel artificial intelligence (AI)-based approach to predict key structural health parameters—maximum displaceme...

R. Patel, A. Datta · 0 citations

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