000019415 001__ 19415
000019415 005__ 20170118182317.0
000019415 04107 $$aeng
000019415 046__ $$k2017-01-09
000019415 100__ $$aMa, Quincy
000019415 24500 $$aComparison of Existing Damage Detection Algorithms on Structural Health Monitoring

000019415 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000019415 260__ $$b
000019415 506__ $$arestricted
000019415 520__ $$2eng$$aThis paper presents an operational assessment of existing damage detection algorithms for structural health monitoring (SHM) of building structures. This project assumed the typical SHM scenario involving continuous structural vibration recording using accelerometers. This study compared six established stiffness based damage detection algorithms utilising the ASCE benchmark instrumented structure dataset. This will be one of the first studies comparing the effectiveness of current damage detection algorithms using the benchmark data. The analyses indicate that all six considered damage detection algorithms have no difficulty in detecting the existence of the damage. Additionally, the identified stiffnesses using PP, FDD, EFDD methods were the most accurate for identifying the damage severity. The AR-ARX model was the least accuracy in estimating the stiffness amongst the six methods. All six algorithms were sensitive to modelling errors, while ANN and AR-ARX model techniques were sensitive to loading condition.

000019415 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000019415 653__ $$aStructural Heath Monitoring; Damage Detection, ASCE Benchmark Structure

000019415 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000019415 720__ $$aMa, Quincy$$iBeskyhroun, Sherif$$iWotherspoon, Liam$$iSimkin, Gye$$iTan, Haozhi
000019415 8560_ $$ffischerc@itam.cas.cz
000019415 8564_ $$s258392$$uhttps://invenio.itam.cas.cz/record/19415/files/3574.pdf$$yOriginal version of the author's contribution as presented on USB, paper 3574.
000019415 962__ $$r16048
000019415 980__ $$aPAPER