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场地条件校正的PGA放大系数简化估计方法
引用本文:陈龙伟,吴晓阳,唐川.场地条件校正的PGA放大系数简化估计方法[J].西南交通大学学报,2022,57(1):173-181.
作者姓名:陈龙伟  吴晓阳  唐川
作者单位:1.中国地震局工程力学研究所, 黑龙江 哈尔滨 1500802.中国地震局地震工程与工程振动重点实验室, 黑龙江 哈尔滨 150080
基金项目:国家重点研发计划(2018YFC1504004);
摘    要:地表峰值加速度(peak?ground-motion?acceleration,PGA)是直观反映地震动强度的一个物理量,概念清晰且工程应用方便.?场地条件校正的PGA及其校正方法是特定工程抗震设计需要解决的问题.?为此,选取日本具有地表和井下记录KiK-net台网的32个台站及地震数据,通过对实测地震数据分析,提出了...

关 键 词:地震数据  PGA放大系数  场地校正  简化方法  KiK-net
收稿时间:2020-08-04

Simplified Prediction Method for PGA Amplification Factors Corrected by Site Conditions
CHEN Longwei,WU Xiaoyang,TANG Chuan.Simplified Prediction Method for PGA Amplification Factors Corrected by Site Conditions[J].Journal of Southwest Jiaotong University,2022,57(1):173-181.
Authors:CHEN Longwei  WU Xiaoyang  TANG Chuan
Affiliation:1.Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China2.Key Laboratory of Earthquake Engineering and Engineering Vibration, China Earthquake Administration, Harbin 150080, China
Abstract:Peak ground-motion acceleration (PGA) directly reflects ground shaking intensity with the advantages in conceptual clarity and engineering application. Prediction of PGA, along with site condition correction, needs to be handled in site-specific seismic design. In this work, 32 stations and the earthquake data recorded are collected from the KiK-net strong motion array, Japan, so as to propose a simplified method to predict PGA amplification factors (fPGA) corrected by site condition. Linear and quadratic empirical formulae of the fPGA possibility model parameters with respect to the combinations of site characteristic parameters are obtained via regression analysis. Using the fPGA model, ground surface PGA values, corrected by site conditions, can be predicted under different exceedance probability levels. Data analysis indicates that fPGA is variable but can be simulated by a log-normally distributed function, of which mean and standard deviation are less correlated with a single site characteristic parameter but have good correlation with the linear combinations of the site characteristic parameters. The reasonable agreement between the predictions and records testifies the feasibility of the proposed method. 
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