大地测量与地球动力学2024，Vol.44Issue(8)：776-782,7.DOI:10.14075/j.jgg.2023.11.198
基于遗传编程技术的强地震动参数预测方法
Research on the Prediction Method of Strong Ground Motion Parameters Based on Genetic Programming Techniques
摘要
Abstract
Based on NGA database and using genetic programming techniques,we give a set of predic-tion equations for PGA,PGV and PGD.On the basis of the explicit prediction formula,the reliability test and model comparison are carried out by establishing the correlation between ground motion pa-rameters and key seismological parameters such as magnitude,fault distance,fault mechanism,and site shear wave velocity within 30 meters.The results show that:1)Compared with the traditional decay relation-like prediction equations based on nonlinear regression techniques,genetic program-ming techniques do not need to specify the equation form of the decay relation,can model the complex behaviors of PGA,PGV and PGD,and give explicit formulas to meet engineering needs.2)Compared with the Campbell-Bozorgnia attenuation relationship,the prediction effect of PGA and PGV based on the genetic programming techniques is slightly better;the RMSE and MAE of the PGD prediction model are 5.47 and 1.64,respectively,which are significantly smaller than those of the Campbell-Bo-zorgnia model,which are 45.98 and 4.61.3)The obtained ground motion prediction equations are characterized by magnitude effect,site amplification effect,and saturation effect of near-field large earthquakes,but fail to reflect the soft-soil damping effect,and the maximum site amplification coeffi-cients of PGA,PGV and PGD are about 1.42,2.53 and 2.64.关键词
强地面运动/遗传编程/地震加速度/衰减关系Key words
strong ground motion/genetic programming/seismic acceleration/attenuation relationship分类
天文与地球科学引用本文复制引用
王程程,胡其志,张洁,张严方,许立强..基于遗传编程技术的强地震动参数预测方法[J].大地测量与地球动力学,2024,44(8):776-782,7.基金项目
湖北省教育厅科学研究计划指导性项目(B2022369) （B2022369）
武昌工学院大数据管理与数字商贸学科群课题(2022JGXK08) （2022JGXK08）
武昌工学院科学研究项目(2023KY13). Guiding Project of Scientific Research Project of Hubei Provincial Education Department,No.B2022369 （2023KY13）
Project of Big Data Management and Digital Commerce Discipline Group of Wuchang Institute of Technology,No.2022JGXK08 （）
Scientific Research Project of Wuchang Institute of Technology,No.2023KY13. （）
