An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining

An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining

Blast induced ground vibrations (BIGV) pose critical challenges in surface mining, threatening structural integrity, worker safety, and environmental compliance. This study proposes a novel hybrid artificial intelligence (AI) framework that integrates physics informed neural networks (PINNs) with co...

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Bibliographic Details
Main Authors: Charan Kumar Ala, Zefree Lazarus Mayaluri, Aman Kaushik, Nikhat Parveen, Surabhi Saxena, Abu Taha Zamani, Debendra Muduli
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Surface mining
Physics-informed neural networks
Explainable AI
Uncertainty quantification
Blast-induced vibrations
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025021188
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http://www.sciencedirect.com/science/article/pii/S2590123025021188

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