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基于GIS和能力谱方法的高层建筑震害预测动态管理系统
The Dynamic Management System of Earthquake Damage Prediction of Tall Buildings Applying GIS and Capacity Spectrum Method
【作者】 黄恩才;
【导师】 赵彤;
【作者基本信息】 天津大学 , 结构工程, 2004, 硕士
【摘要】 随着现代计算机技术在硬件、软件方面突飞猛进的发展,建筑物震害预测方法和震害管理工作也进入了一个崭新的时期。地理信息系统是一门集计算机科学、信息学、地理学等多门科学为一体的新兴学科,由于其能快速、方便管理海量数据的特点,已被广泛应用于资源开发、环境保护、城市规划建设和灾害监测与评估等领域。能力谱方法是一种简化的动力分析方法,它能分析结构在大震下的弹塑性反应,并且计算简单,逐步成为对结构抗震能力进行简化评估的一种重要方法。本文介绍了地理信息系统在土木工程中的应用,分析了现有建筑物震害预测方法的优缺点,并论述了能力谱方法评估建筑物抗震性能的优越性及步骤。收集天津市高层建筑数据及相关地理信息,并储存在各种数据库中。根据地震小区划结果,建立天津市各区域地震需求谱。最后利用各种数据库,以“城市之星” 为平台,以能力谱方法作为高层建筑震害预测模型,建立高层建筑震害预测动态管理系统。
【Abstract】 With the rapid development in computer technology, the traditional earthquakedamage prediction of the buildings and seismic hazards assessment need to bedeveloped at the same time. Geographic Information System (GIS), an advanced technology, integratescomputer science, informatics, geography and others. It has been widely used innatural resource development, environmental protection, city planning, disastermonitoring and evaluation, etc. Capacity spectrum method is an approach of simplifying the structural dynamicanalysis. It is a convenient and effective method for seismic capacity evaluation sinceit performs the structural non-linear response analysis based on some simplecalculations. This paper focuses on the application of Geographic Information System in civilengineering. The advantage and disadvantage of existing earthquake damageprediction methods are discussed. The advantage and steps of seismic capacityevaluation using capacity spectrum method are introduced. The data of tall buildingsand related geographic information are collected and stored in computer databasesystems. Earthquake demand spectrum of Tianjin is established based on the resultsof seismic zoning. Finally, a computer management system of earthquake damageprediction of tall buildings using GIS and capacity spectrum method is developed.
【Key words】 Geographic Information System (GIS); Capacity Spectrum Method; Tall Buildings; Earthquake Damage Prediction;
- 【网络出版投稿人】 天津大学 【网络出版年期】2004年 04期
- 【分类号】TU973.2
- 【被引频次】3
- 【下载频次】255