Fast System Identification Using Building Seismic Records and Site Response Study for Microzonation (US-Taiwan/IDNDR)

这是一个合作研究项目，围绕目前由台湾中央气象局(CWB)承担的强震仪器项目，以在岛上安装1,000个数字强震台(大约60%的自由场和40%的结构安装)。这一最新的发展为从根本上改变建筑物强震数据的收集、分析、为利用自由场和井下强震资料进行地震区划的场地响应研究提供了新的契机。为了充分开发新系统的潜力，提出了一个由休斯顿大学参与的三方合作研究计划，南加州大学和国立台湾大学。目标是(1)开发一种在新的基于PC的系统上实施的实时强震建筑数据处理和分析方法，(2)开发一种快速系统识别的方法，以在基于PC的系统上实现以生成工程目前还没有常规的数据，以及(3)利用现有的阵列数据和预期的数据来改进微区划分的场地响应预测方法台湾的CWB自由场和井下阵列。该项目侧重于上文第(1)和(2)项所确定的结构性问题。特别注意开发系统识别和损失评估技术，使其更加自动化，基于先进的软件和扩展的数据库。这项合作研究计划利用已经资助的地震仪器系统作为试验场，开发利用强震数据的新方法，从而扩大了强运动自由场和结构响应数据的有用性。研究成果可以很容易地应用于美国，合作也将为美国提供更大的。与tiUVa的研究和工程社区。CEVeeV&//

This is a collaborative research project centered around a strong- motion instrumentation project currently undertaken by Taiwan's Central Weather Bureau (CWB) to install 1,000 digital strong-motion stations on the island (approximately 60% free-field and 40% structural installations). This recent development opens up new possibilities to fundamentally change the way building strong- motion data are collected, analyzed, and disseminated and offers new opportunity for site response study for seismic microzonation using the free-field and down-hole strong-motion data. To fully exploit the potential of the new systems, a three-way cooperative research program is proposed that involves the University of Houston, the University of Southern California, and the National Taiwan University. The objectives are (1) to develop a real-time strong-motion building data processing and analysis methodology to be implemented on the new PC-based system, (2) to develop a methodology for fast system identification to be implemented on the PC-based system to generate engineering data not routinely available at present, and (3) to improve methods of site response prediction for microzonation using existing array data and the data expected from the CWB free-field and down-hole arrays in Taiwan. This project focuses on structural issues as identified in items (1) and (2) above. Special attention is placed on developing system identification and damage assessment techniques which are made more automatic based on advanced software and expanded data base. This cooperative research program uses the already funded seismic instrumentation systems as a testing ground to develop new ways of strong-motion data utilization, thus expanding the usefulness of strong-motion free-field and structural response data. The results of research can be readily applied to the U.S. and the cooperation will also provide the larger U.S. research and engineering community with tiUVa. cEVeeV &//