AIT (U.S.) - CCNAA (Taiwan) Cooperative Research (Engineering): Modeling of Strong-Ground Motion Observed BySMART1 Array

AIT（美国）- CCNAA（台湾）合作研究（工程）：SMART1 阵列观测到的强地面运动建模

• 批准号: 9021623
• 负责人: Marijan Dravinski
• 金额: $ 5.63万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-06-01 至 1994-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9021623&HistoricalAwards=false
• 关键词: AIT; U.S.; CCNAA; Taiwan; Cooperative

This is a three-year collaborative research project between Drs. Marijan Dravinski and Keiiti Aki, University of Southern California, and Drs. Wen Kuo-Liang and Yeh Yeong-Tein, Academia Sinica, supported by the AIT (U.S.) - CCNAA (Taiwan) Cooperative Science Program. This proposal plans to develop a model to predict strong ground motion during earthquakes and to calibrate this model using the 3000 earthquake records collected from the Lanyang sedimentary basin in Taiwan. Local amplification of strong ground motion in a basin of sedimentary deposits is one of the most important issues in understanding earthquake hazards. The most notable case is the amplification of ground motion in the 1985 earthquake in Mexico City, which was more than 300 km from the source of the earthquake and suffered extensive damage. This research is very significant and can provide new insights into the nature of ground motion amplification and variation during earthquakes. The model calibrated using the SMART1 (Strong Motion Array in Taiwan, Phase 1) data can be applied to the Los Angeles Basin to reduce uncertainties in ground motion estimation. The damage potential for the Los Angeles Basin from a major earthquake is enormous. This project can bring a potential reduction in the loss of life and property.

这是一个为期三年的合作研究项目。南加州大学的Marijan Dravinski和Keiiti Aki博士。文国良、叶永田，中央研究院，美国在台协会资助- CCNAA（台湾）科学合作计划。本研究拟建立地震时强地震动预测模型，并利用台湾兰阳沉积盆地3000次地震记录对该模型进行校正。沉积盆地强地面运动的局部放大是了解地震危险性的重要问题之一。最显著的例子是1985年墨西哥城地震的地面运动放大，该地震距离震源300多公里，遭受了广泛的破坏。这一研究具有重要意义，可以为了解地震时地震动放大和变化的性质提供新的认识。使用SMART1（台湾强震阵列，第1阶段）数据校准的模型可以应用于洛杉矶盆地，以减少地面运动估计中的不确定性。一场大地震对洛杉矶盆地的潜在破坏是巨大的。这个项目有可能减少生命和财产的损失。