Gravity dam earthquake risk probability analysis method

Abstract

The invention discloses a gravity dam earthquake risk probability analysis method, which specifically comprises the following steps of S1, carrying out gravity dam dynamic finite element analysis anddam failure state judgment under different earthquake actions; S2, screening seismic oscillation intensity parameters for predicting the failure state of the gravity dam; S3, establishing a BP neuralnetwork model for quickly predicting the failure state of the gravity dam; S4, selecting a ground motion record for predicting the failure state of the gravity dam, and calculating a ground motion intensity parameter; S5, estimating the failure probability of the gravity dam under different PGA levels; S6, drawing an earthquake vulnerability curve of the gravity dam; S7, calculating the earthquakerisk probability of the gravity dam; and S8, evaluating the earthquake risk of the gravity dam according to the calculated earthquake risk probability.

Description

technical field [0001] The invention relates to the technical field of gravity dam seismic analysis, in particular to a gravity dam earthquake risk probability analysis method. Background technique [0002] Reservoir dams have multiple functions such as flood control, power generation, irrigation, and water supply, and are important infrastructure for the national economy. Concrete gravity dam (referred to as gravity dam) is one of the commonly used dam types in water conservancy and hydropower projects. Under the action of strong earthquakes, gravity dams may be damaged to varying degrees, which directly threatens the safety and normal operation of the project. Therefore, the seismic risk analysis and assessment of gravity dams in high seismic intensity areas has always been a matter of great concern to the industry and society. The probabilistic analysis of structural seismic risk can simultaneously consider the seismic hazard of the site and the seismic vulnerability of ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a gravity dam earthquake risk probability analysis method, in view of the current gravity dam earthquake risk probability analysis method through numerical simulation to predict the structural failure state, the shortcomings of low calculation efficiency and long time consumption, and optimize the earthquake through correlation analysis The strength parameter, as the input parameter of the artificial neural network, uses the neural network to replace the time-consuming numerical simulation, realizes the rapid prediction of the failure state of the gravity dam, and significantly reduces the calculation workload

Images