Simulation of Pier Ground Motion Wave Propagation Based on Machine Learning Algorithm and FEPG Finite Element Analysis System

Earthquake early warning system is a new improvement of earthquake monitoring technique and a new means to reduce earthquake disasters, which uses seismic instruments to observe data and quickly measure earthquake parameters to release information such as arrival time and intensity before destructive seismic waves arrive. By systematically considering the influence of seismogenic fault (source), three-dimensional crustal layered velocity structure (propagation path, medium) and local site conditions (overburden, surface undulation), a simplified calculation means based on Green’s function and finite element model is used to numerically simulate near-field ground motions, so as to meet the urgent needs of current earthquake prevention and disaster reduction and engineering investigation. In essence, FEPG finite element analysis and simulation means is to solve the wave equation of seismic wave, so the simulated seismic wave field contains all the information of seismic wave propagation, which can provide more evidence for studying the propagation mechanism of seismic wave and the interpretation of complex strata. Therefore, FEPG finite element analysis and simulation means has been playing a vital role in seismic simulation. Based on machine learning algorithm and FEPG finite element analysis system, it is of great significance to study the simulation of pier ground motion wave propagation in this paper.