Qilin Li

Qilin Li

Senior Lecturer & ARC DECRA Fellow — AI for intelligent infrastructure and structural health monitoring

Data-Driven BLEVE Overpressure Prediction Using Explainable Machine Learning

Published in Engineering Applications of Neural Networks (EANN 2025), 2025

This paper develops explainable machine learning models for data-driven prediction of blast overpressure from boiling liquid expanding vapour explosions (BLEVEs).

Recommended citation: Shi, Zifan, Qilin Li, Ling Li, Yanda Shao, and Hong Hao. “Data-Driven BLEVE Overpressure Prediction Using Explainable Machine Learning.” In Engineering Applications of Neural Networks, pp. 68-80. Cham: Springer Nature Switzerland, 2025.

Recommended citation: Shi, Zifan, Qilin Li, Ling Li, Yanda Shao, and Hong Hao. "Data-Driven BLEVE Overpressure Prediction Using Explainable Machine Learning." In Engineering Applications of Neural Networks, pp. 68-80. Cham: Springer Nature Switzerland, 2025.
Paper