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Cho, Soojin
Smart Infrastructure and Systems Laboratory
Research Interests
  • civil engineering
  • wireless sensor
  • system identification
  • modal analysis

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Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input

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dc.contributor.author Palanisamy, Rajendra P. ko
dc.contributor.author Cho, Soojin ko
dc.contributor.author Kim, Hyunjun ko
dc.contributor.author Sim, Sung-Han ko
dc.date.available 2015-03-20T00:07:55Z -
dc.date.created 2015-03-19 ko
dc.date.issued 2015-02 ko
dc.identifier.citation SMART STRUCTURES AND SYSTEMS, v.15, no.2, pp.489 - 503 ko
dc.identifier.issn 1738-1584 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/10933 -
dc.description.abstract Response estimation at unmeasured locations using the limited number of measurements is an attractive topic in the field of structural health monitoring (SHM). Because of increasing complexity and size of civil engineering structures, measuring all structural responses from the entire body is intractable for the SHM purpose; the response estimation can be an effective and practical alternative. This paper investigates a response estimation technique based on the Kalman state estimator to combine multi-sensor data under non-zero mean input excitations. The Kalman state estimator, constructed based on the finite element (FE) model of a structure, can efficiently fuse different types of data of acceleration, strain, and tilt responses, minimizing the intrinsic measurement noise. This study focuses on the effects of (a) FE model error and (b) combinations of multi-sensor data on the estimation accuracy in the case of non-zero mean input excitations. The FE model error is purposefully introduced for more realistic performance evaluation of the response estimation using the Kalman state estimator. In addition, four types of measurement combinations are explored in the response estimation: strain only, acceleration only, acceleration and strain, and acceleration and tilt. The performance of the response estimation approach is verified by numerical and experimental tests on a simply-supported beam, showing that it can successfully estimate strain responses at unmeasured locations with the highest performance in the combination of acceleration and tilt ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.publisher TECHNO-PRESS ko
dc.title Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84922582787 ko
dc.identifier.wosid 000352352400015 ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.description.scopustc 0 *
dc.date.tcdate 2015-12-28 *
dc.date.scptcdate 2015-11-04 *
dc.identifier.doi 10.12989/sss.2015.15.2.489 ko
dc.identifier.url http://ocean.kisti.re.kr/IS_mvpopo001P.do?method=multMain&cn1=JAKO201507158234638&poid=tp&free= ko
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