Research on Ice Load Optimization based on Monte Carlo Algorithm and Finite Element Analysis

Abstract

This paper mainly focuses on the ice bearing capacity and ice vehicle layout optimization problems for in-depth research. By modeling the ice thickness and analyzing the ice stresses, the load-bearing capacity and safety margins of the ice were assessed. Firstly, the research considers the freezing time, environmental conditions, load factor, strength, temperature and salt influence coefficient, and obtains the exact value of the bearing capacity of the ice under different conditions and the safe distance of the ice truck. Secondly, Monte Carlo algorithm and finite element analysis are used to simulate the random distribution of the crowd and the influence of the ice truck on the ice surface stress, which provides an important reference for the safety management and planning of the ice surface activities. The research results show that under certain conditions, the ice surface can withstand a certain number of people, and the layout of the ice vehicle needs to consider the safe distance from the ice hole to ensure that the ice surface does not break and does not exceed the maximum allowable stress. These research results are of great significance for ensuring the safety of ice activities and improving the efficiency of ice utilization.