Exploring the Deterioration Factors of RC Bridge Decks: A Rough Set Approach

NCU Institutional Repository > 工學院 > 營建管理研究所 > 期刊論文 > Item 987654321/50077

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/50077

题名:	Exploring the Deterioration Factors of RC Bridge Decks: A Rough Set Approach
作者:	Huang,RY;Mao,IS;Lee,HK
贡献者:	營建管理研究所
关键词:	GRADIENT LEARNING ALGORITHM;SHARED-MEMORY MACHINES;NEURAL-NETWORKS;IDENTIFICATION;VIBRATION;MODEL;ACQUISITION;HEURISTICS;MANAGEMENT;DIAGNOSIS
日期:	2010
上传时间:	2012-03-27 17:02:56 (UTC+8)
出版者:	國立中央大學
摘要:	Information about the factors that lead to the deterioration of bridges is essential for bridge maintenance. Pinpointing what these factors are will certainly enhance the effectiveness of bridge management. However, a review of the literature reveals that such factors are mainly determined based on experts' opinions rather than a systematic approach. In this study the factors leading to deterioration of RC bridge decks are grouped into six common types. Twenty-nine candidate factors are selected from an extensive review of past work as well as from the inventory of the Taiwan Bridge Management System. A data mining technique, the Rough Set Theory (RST), is employed to find the factors that have the most significant impact on deterioration. It is found that weather-related factors are rather significant for almost all types of deterioration. Finally, the factors mined by RST are compared to those obtained by Mann-Whitney U (MWU). The results of comparison appear fairly consistent, which validates the proposed approach.
關聯:	COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
显示于类别:	[營建管理研究所 ] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	748	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing

数据加载中.....