| Title |
Research on the Evolution Models and Risk of Disaster-Induced Storage Tank Explosions in a Smart City |
| ID_Doc |
39017 |
| Authors |
Wang, YG; Cui, TJ; Xu, G |
| Title |
Research on the Evolution Models and Risk of Disaster-Induced Storage Tank Explosions in a Smart City |
| Year |
2024 |
| Published |
Electronics, 13, 11 |
| DOI |
10.3390/electronics13112078 |
| Abstract |
An important goal of smart cities is to ensure city safety and reduce city risks. However, because the chemical industry park is often located interior and surroundings of a city, it is easy to induce explosions in case of natural disasters, causing serious losses. To investigate the possibility of explosion damage to other storage tanks in chemical industrial parks caused by tank explosions, the evolution process of tank explosion damage was studied, and an analysis method to determine the most unfavorable process was provided. This method is based on regional grid division and shock wave overpressure calculation to obtain the probability of damage at the grid location. Based on the system fault evolution process, the space fault network model was used to calculate the explosion damage evolution process of each storage tank, and the most unfavorable situation was finally determined. The paper assumes a positive linear relationship between the damage probability of the affected storage tank and the likelihood of explosion. The paper provides a calculation method for regional grid division, tank explosion overpressure, and damage probability. A mathematical model for the evolution process of tank explosion damage was constructed, and it is believed that the damage effects of tanks are a logical superposition. The results can provide a reference for controlling the explosion process in chemical industrial parks under the most unfavorable conditions and realize intelligent analysis and prediction of regional risks. |
| Author Keywords |
smart city; city safety; chemical industrial park; tank explosion; evolution models; worst-case scenario |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001245614300001 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Physics, Applied |
| Research Area |
Computer Science; Engineering; Physics |
| PDF |
https://www.mdpi.com/2079-9292/13/11/2078/pdf?version=1716803403
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