Seismic Capacity of Bridge Diagnostic Model Using Evolutionary Support Vector Machines Inference Model(ESIM)

• Main Authors: Ruei-fu Syu, 徐瑞甫
• Other Authors: Min-Yuan Cheng
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/21216051207503367196

碩士 === 國立臺灣科技大學 === 營建工程系 === 98 === Taiwan has many mountains and rivers, often requires the use of bridges to cross the natural obstruction, so bridges made a considerable contribution to national economic development. In view of the bridge for a common cause of earthquake damage, caused traffic standstill, casualties and incidents. Therefore need to assess the intensity of ground motion under a bridge in the state of damage and reduce the probability of disaster. Taiwan, however, many bridges, all bridges to each of the traditional structural analysis, operation time and budget constraints will be the difficulty. This study hopes to learning mechanisms of artificial intelligence applications, With the current case, to identify initial evaluation factor (input) and the fine assessment Yield acceleration(Ay)、Collapse acceleration (Ac) values (output) mapping to inference obtained Ay、 Ac.