Coupled Electric-Thermal Damage Modeling and Machine Learning for Lightning Strikes on Soil

To study the damage mechanism of soil when struck by lightning, this paper proposes an electro-thermal coupled numerical model of soil for solving the problem. The double exponential function is used to represent the naturally occurring lightning waveforms. The novel numerical computational model indicates the electrical disasters and damage mechanism of soil under lightning action. The calculation results show that under the action of lightning, the soil produces electrical penetration and causes thermal damage. In addition, a machine learning strategy has been devised to evaluate changes in soil damage conditions, and a formula for soil damage tensor related to the basic electrical parameters of soil is provided. The innovative numerical modeling reveals the mechanism of soil failure and electrical penetration during lightning strikes and and provides theoretical support for mine mitigation.