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超限高层建筑工程数据库及Bayes知识发现 被引量:2

Research on database of high-rise buildings exceeding some limits in codes and knowledge discovery based on bayesian network
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摘要 针对上海市超限高层建筑工程实例,收集整理了相关设计信息,构建了能够表征这些设计信息的数据表并形成了数据库。鉴于传统的管理信息系统不能够空间表示,提出了一种新型的基于Arc-GIS的信息系统,同时引入了贝叶斯网络,以数据库样本为基础进行结构选型。实践证明,该系统充分利用了计算机的存贮、计算、统计、共享以及空间显示功能,贝叶斯网络为超限高层建筑结构体型优选提供了一种新的方法,对超限高层建筑工程的设计改进和规范的完善都具有一定的实际意义。 The design information of the high-rise buildings in Shanghai was collected. The tables and database that can indicate the design information was constructed. A new information system based on ArcGIS was formed to overcome the deficiency of traditional MIS. The Bayesian network was introduced to knowledge discovery with the database as the foundation. The practice proved that this system has used the computer storage, computation, statistic, sharing as well as spatial demonstration function ; and the Bayesian network provides a new method for structural system selection. The research results have certain practical significance to the design improvement and codes supplement for the high-rise buildings exceeding some limits in codes.
出处 《地震工程与工程振动》 CSCD 北大核心 2007年第1期72-79,共8页 Earthquake Engineering and Engineering Dynamics
基金 国家自然科学基金创新研究群体项目 上海市工程建设规范和标准编制计划项目
关键词 超限高层建筑 数据库 ARCGIS 贝叶斯网络 结构选型 Matlab集成 out-of-codes high-rise buildings database ArcGIS bayesian network structural system selection Matlab integration
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