contributor author | Jann N. Yang | |
contributor author | Ye Xia | |
contributor author | Chin-Hsiung Loh | |
date accessioned | 2017-05-08T22:00:48Z | |
date available | 2017-05-08T22:00:48Z | |
date copyright | March 2014 | |
date issued | 2014 | |
identifier other | %28asce%29st%2E1943-541x%2E0000873.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/68768 | |
description abstract | It is well-known that damage in a structure is a local phenomenon. Based on measured vibration data from sensors, the detection of a local structural damage requires the finite-element formulation for the equations of motion, so that any change in stiffness in a structural element can be identified. However, the finite-element model (FEM) of a complex structure involves a large number of degrees of freedom (DOF), which requires a large number of sensors and involves a heavy computational effort for the identification of structural damages. To overcome such a challenge, we propose the application of a reduced-order model in conjunction with a recently proposed damage detection technique, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI). Experimental data for the shake table tests of a | |
publisher | American Society of Civil Engineers | |
title | Damage Identification of Bolt Connections in a Steel Frame | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 3 | |
journal title | Journal of Structural Engineering | |
identifier doi | 10.1061/(ASCE)ST.1943-541X.0000831 | |
tree | Journal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 003 | |
contenttype | Fulltext | |