With the gradual expansion of high buildings and underground spaces, deep foundation pits have been widely used in these engineering projects, but if they are not well-designed, safety problems occur. Proper deep foundation pit design requires proper exit distribution. However, calculating an adequate number of exit distributions for evaluation is difficult due to the numerous influential factors existing in the deep foundation pit environment. To this end, this paper presents a prototype of a decision-making system that uses agent-based modeling to simulate deep foundation pit evacuation in the presence of collapse disaster. By modeling the collapse occurrence process and agent escape process, an agent-based evacuation model is built, and a modified simulation-based particle swarm optimization algorithm is used to solve the optimization problem of exit distribution. Extensive experiments are conducted to verify the system, and the results show that the system provides a feasible framework for deep foundation pit evacuation.

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Based on the calculus and blade element theory, the formulas for calculating wind load on the blade of offshore wind turbine are deduced. The time history curve and wind speed time history curve, power spectrum and wind load of wind turbines are simulated by using MATLAB software with the derived formulas and wind observation data of London Array Wind Farm. Based on the above analysis results, the stability of offshore wind power monopile foundation structures under wind loads is analyzed and studied by using ABAQUS finite element software. It is concluded that the structural stability and ultimate load of offshore wind power structures under horizontal, lower bound and ultimate loads are the same. With the increase of internal friction angle, the shakedown load and ultimate load increase gradually with the increase of pile foundation length.