Hydrogen jet and diffusion modeling by physics-informed graph neural network
Abstract Renewable Power-to-Hydrogen (P2H2) system is an emerging decarbonization
strategy for achieving global carbon neutrality. However, the propensity of hydrogen to leak …
strategy for achieving global carbon neutrality. However, the propensity of hydrogen to leak …
A bibliometric analysis of process safety research in China: Understanding safety research progress as a basis for making China's chemical industry more sustainable
Along with the expansion of China's chemical industry, a series of catastrophic chemical
accidents have occurred, often with severe human casualties, resulting in adverse effects on …
accidents have occurred, often with severe human casualties, resulting in adverse effects on …
A KPCA-BRANN based data-driven approach to model corrosion degradation of subsea oil pipelines
X Li, R Jia, R Zhang, S Yang, G Chen - Reliability Engineering & System …, 2022 - Elsevier
Corrosion is an important reason for the structural degradation of offshore oil pipelines,
which may cause serious economic loss and environmental pollution. Nowadays the …
which may cause serious economic loss and environmental pollution. Nowadays the …
[HTML][HTML] Machine learning prediction of BLEVE loading with graph neural networks
In this paper, we propose an innovative machine learning approach for predicting
overpressure wave propagation generated by Boiling Liquid Expanding Vapor Explosion …
overpressure wave propagation generated by Boiling Liquid Expanding Vapor Explosion …
Experimental and numerical study of gas explosion from semi-submersible platform
Gas explosion can cause great structural damage to the semi-submersible platform, so
understanding the gas explosion dynamics is critical to avoid the accident and its escalation …
understanding the gas explosion dynamics is critical to avoid the accident and its escalation …
[HTML][HTML] Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes
Hybrid nanofluid is an emerging field due to the rapid enhancement of heat transfer and
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …
[HTML][HTML] Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios
Toxic gas leakage represents a type of major process accident scenario threatening human
life. Technical and non-technical safety barriers are employed to prevent toxic gas leakage …
life. Technical and non-technical safety barriers are employed to prevent toxic gas leakage …
Real-time natural gas explosion modeling of offshore platforms by using deep learning probability approach
Natural gas explosion of offshore platform is prone to cause accidental disaster such as
platform collapse and casualties etc. Real-time natural gas explosion consequence …
platform collapse and casualties etc. Real-time natural gas explosion consequence …
A machine learning methodology for probabilistic risk assessment of process operations: a case of subsea gas pipeline leak accidents
X Li, J Wang, G Chen - Process Safety and Environmental Protection, 2022 - Elsevier
Subsea gas pipeline leak may cause the catastrophic consequences, eg, offshore fire and
explosion, and the overturning of floating offshore structures. Efficient risk assessment is …
explosion, and the overturning of floating offshore structures. Efficient risk assessment is …
Real-time plume tracking using transfer learning approach
Deep learning has been used to track the real-time flammable plume of natural gas.
However, a large volume of high-fidelity data is required to train the deep learning model for …
However, a large volume of high-fidelity data is required to train the deep learning model for …