scholarly journals STRUCTURAL MONITORING FOR SEISMIC DAMAGE EVALUATION: A CASE STUDY

Author(s):  
STEFANO ANASTASIA ◽  
PEDRO POVEDA-MARTÍNEZ ◽  
BENJAMÍN TORRES-GORRIZ ◽  
SALVADOR IVORRA-CHORRO
2014 ◽  
Vol 602-605 ◽  
pp. 370-374
Author(s):  
Hong Bo Xu ◽  
Jia Yu Li

Health assessment of the girder is crucial to an overhead traveling crane. This paper presents an intelligent damage identification method for the girder based on stiffness variation index (SVI) and least squares support vector machine (LSSVM). In the method, the SVI indicators, which have high resolution to environmental noise, serve as the damage feature to detect damage locations. Moreover, the SVI indicators are input to the LSSVM classifier for identifying the actual damage level of the girder. A case study on girder damage identification demonstrates that the method could determine the actual conditions of the girder structure accurately.


2019 ◽  
Vol 201 ◽  
pp. 109785 ◽  
Author(s):  
Sujith Mangalathu ◽  
Seong-Hoon Hwang ◽  
Eunsoo Choi ◽  
Jong-Su Jeon

2017 ◽  
Vol 148 ◽  
pp. 263-276 ◽  
Author(s):  
Gaohui Wang ◽  
Yongxiang Wang ◽  
Wenbo Lu ◽  
Mao Yu ◽  
Chao Wang

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