Recent application of Computational Fluid Dynamics (CFD) in process safety and loss prevention: A review

R Shen, Z Jiao, T Parker, Y Sun, Q Wang - Journal of Loss Prevention in the …, 2020 - Elsevier
In recent years, significant progress has been made to ensure that process industries are
among the safest workplaces in the world. However, with the increasing complexity of …

Review of application of molecular dynamics simulations in geological sequestration of carbon dioxide

Z Ma, PG Ranjith - Fuel, 2019 - Elsevier
With increasing anthropogenic emissions of carbon dioxide (CO 2) in the environment,
various techniques have been proposed to safely store the generated CO 2. Geological …

[HTML][HTML] Analytical investigation of phase assemblages of alkali-activated materials in CaO-SiO2-Al2O3 systems: The management of reaction products and designing …

R Xiao, X Jiang, M Zhang, P Polaczyk, B Huang - Materials & Design, 2020 - Elsevier
This study presents an analytical investigation based on thermodynamic simulation aimed at
achieving a holistic management of the phase assemblages of alkali-activated materials …

ML-EHSAPP: A prototype for machine learning-based earthquake hazard safety assessment of structures by using a smartphone app

E Harirchian, K Jadhav, V Kumari… - European Journal of …, 2022 - Taylor & Francis
The recent devastating earthquakes have caused severe physical, social, and financial
damage worldwide and indicate that many existing buildings, especially in developing …

[HTML][HTML] Machine learning-based reduced-order modeling and predictive control of nonlinear processes

T Zhao, Y Zheng, J Gong, Z Wu - Chemical Engineering Research and …, 2022 - Elsevier
In this work, we develop a model predictive control scheme for nonlinear systems using
autoencoder-based reduced-order machine learning models. First, an autoencoder is …

Review of the Monitoring Applications Involved in the Underground Storage of Natural Gas and CO2

G Fibbi, M Del Soldato, R Fanti - Energies, 2022 - mdpi.com
Natural gas is an indispensable resource not evenly distributed in the world. The gas supply
chain is characterized by large imbalances between supply and demand, where the …

Earthquake hazard safety assessment of existing buildings using optimized multi-layer perceptron neural network

E Harirchian, T Lahmer, S Rasulzade - Energies, 2020 - mdpi.com
The latest earthquakes have proven that several existing buildings, particularly in
developing countries, are not secured from damages of earthquake. A variety of statistical …

BLEVE fireball modeling using Fire Dynamics Simulator (FDS) in an Algerian gas industry

I Sellami, B Manescau, K Chetehouna… - Journal of Loss …, 2018 - Elsevier
BLEVE is one of major accidents observed in gas industry causing severe damage to
people and environment. Its effects are manifested in three ways: shock wave propagation …

A conceptual framework integrating numerical simulation with system theory based method for quantitative explosion process hazard analysis

S Zhou, Z Wang, Q Li - Process Safety and Environmental Protection, 2022 - Elsevier
Explosion is a significant threat to chemical process safety, which often occurs suddenly with
a wide range of impact, resulting in catastrophic disasters. Predictions of explosion hazards …

Data-driven prescriptive maintenance: Failure prediction using ensemble support vector classification for optimal process and maintenance scheduling

CAK Gordon, B Burnak, M Onel… - Industrial & …, 2020 - ACS Publications
Maintenance can improve the availability of aging production systems and prevent process
safety incidents. However, because of system complexity, resource allocation is nontrivial …