Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

B Liang, CN van der Wal, K Xie, Y Chen, FMT Brazier… - Safety science, 2023 - Elsevier
Emergency evacuation is viewed as a common strategy adopted during the disaster
preparedness stage of evacuation to ensure the safety of potentially affected populations. In …

Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings

H Nguyen, XN Bui, E Topal - Reliability Engineering & System Safety, 2023 - Elsevier
This study aims to predict ground vibration intensity in mine blasting, which is measured by
peak particle velocity (PPV), using three novel intelligent models based on metaheuristic …

[HTML][HTML] A methodology based on Dijkstra's algorithm and mathematical programming for optimal evacuation in process plants in the event of major tank fires

N Khakzad - Reliability Engineering & System Safety, 2023 - Elsevier
Effective evacuation plans are essential to protecting workers in the event of major fires in
process plants. However, despite some general guidelines, there is no specific methodology …

An evacuation path planning method for multi-hazard accidents in chemical industries based on risk perception

Z He, K Shen, M Lan, W Weng - Reliability Engineering & System Safety, 2024 - Elsevier
Evacuation path planning is an important research topic in emergency management of
chemical accidents. Facing the challenges of the continuous increase in the frequency of …

Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets

S Liu, W Li, P Gao, Y Sun - Reliability Engineering & System Safety, 2022 - Elsevier
Efficient emergency disposal on site after gas leakage is crucial to avoid accident escalatio
and expansion. However, current performance analysis studies of emerency disposal …

Real-time plume tracking using transfer learning approach

J Shi, W Xie, J Li, X Zhang, X Huang, AS Usmani… - Computers & Chemical …, 2023 - Elsevier
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 …

Prediction model for the evolution of hydrogen concentration under leakage in hydrogen refueling station using deep neural networks

X He, D Kong, X Yu, P Ping, G Wang, R Peng… - International Journal of …, 2024 - Elsevier
The widespread risks of leakages in the hydrogen industry chain require a method that can
quickly predict the consequences of accidents, especially in the hydrogen refueling station …

[HTML][HTML] A critical review of a computational fluid dynamics (CFD)-Based explosion numerical analysis of offshore facilities

KY Kang, X Wang, J Wang, W Shi, Y Sun… - … Methods in Engineering, 2022 - Springer
In oil and gas industries, the explosive hazards receive lots of attention to achieve a safety
design of relevant facilities. As a part of the robust design for offshore structures, an …

Multi-objective optimization of evacuation route for heterogeneous passengers in the metro station considering node efficiency

X Yang, Y Yang, D Qu, X Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reasonable planning of passenger evacuation routes can directly improve evacuation
efficiency in the metro station. Considering the effect of traffic capacity at the node such as …

Study on optimization of shelter locations and evacuation routes of gas leakage accidents in chemical industrial park

D Zhang, Z Mao, M Gong, J Ren, S Zuo… - Process Safety and …, 2023 - Elsevier
Safety hazards cannot be ignored during the promotion of local economic development in
chemical parks. In a crowded chemical industrial park, heavy casualties and serious …