Real-time natural gas explosion modeling of offshore platforms by using deep learning probability approach
J Shi, H Zhang, J Li, W ** a hybrid CEEMDAN-PE-HE-SWT method to remove the noise of measured carbon dioxide blast wave
Monitoring the carbon dioxide blast wave is an efficient method for determining the power of
carbon dioxide blasting. Due to the harsh measurement environment, noise is inevitably …
carbon dioxide blasting. Due to the harsh measurement environment, noise is inevitably …
[HTML][HTML] The Boiling Liquid Expanding Vapour Explosion (BLEVE): A bibliometric review and futur trends
X Baraza - Journal of Loss Prevention in the Process Industries, 2023 - Elsevier
Abstract The phenomenon “Boiling Liquid Expanding Vapor Explosion”(BLEVE) is one of
the most common accidental events in the chemical industry and in the transport of …
the most common accidental events in the chemical industry and in the transport of …
[HTML][HTML] Prediction of BLEVE loading on a rigid structure
Abstract Boiling Liquid Expanding Vapour Explosion (BLEVE) in open space has been
investigated in the authors' previous study. However, for designing structures against BLEVE …
investigated in the authors' previous study. However, for designing structures against BLEVE …
Pressure response and interface evolution on initiation of boiling liquid expanding vapor explosion (BLEVE): A numerical study
Z Hu, Y Zheng, G Liang - Applied Thermal Engineering, 2025 - Elsevier
Liquefied petroleum gas (LPG) is usually stored at a high pressure in the spherical
containers. In the event of a failure of the container, a risk of boiling liquid expanding vapor …
containers. In the event of a failure of the container, a risk of boiling liquid expanding vapor …
A multi-task machine learning approach for data efficient prediction of blast loading
Accurate and efficient prediction of blast loading is critical for structural protection and safety
management across various industries. With advancement in AI algorithms, various Machine …
management across various industries. With advancement in AI algorithms, various Machine …
PCA-TANN with model-based transfer learning for predicting blast load time series on structures
T Qiu, S Cheng, D Zhang, X Du - Process Safety and Environmental …, 2024 - Elsevier
A comprehensive understanding of blast load information is crucial for evaluating structural
response. Machine learning has demonstrated its efficiency in predicting blast loads …
response. Machine learning has demonstrated its efficiency in predicting blast loads …
Characterization and overpressure prediction modeling of explosions of stratified hydrogen clouds in open space
Because hydrogen has high energy and low density, it is easy to form uneven explosive gas
clouds. The study investigated the explosion characteristics of stratified hydrogen clouds. It …
clouds. The study investigated the explosion characteristics of stratified hydrogen clouds. It …