Real-time structure health monitoring by nonlinearity degree analysis based on Hilbert-Huang transform

Chun Yueh Hsieh, Alain Sawadogo, Tzu-Kang Lin

Research output: Contribution to conferencePaperpeer-review

Abstract

The fact that in recent years many catastrophic seismic events are major factors in building collapse has made structure health monitoring an important research topic. In view of the complex nonlinear behaviour of building structure/soil interactions, the fundamental frequency may gradually change due to seismic damage. To provide real-time structural dynamic parameters, Hilbert-Huang Transform (HHT) is utilize to analyse the measured signal from the superstructure under seismic excitation. In the study, the Time-Frequency domain Amplification Function (T.F.AF) obtained from the HHT analysis is decomposed into instantaneous frequency width, centroid of frequency and energy time-history. The proposed degree of nonlinearity (DN) can then be estimated to display the structure health condition. In order to verify the proposed method, shaking table tests were conducted on a 6 -story benchmark structure. According to the analysis of vibration signals recorded up to the time of collapse, structure behaviour variation can be rapidly displayed by the degree of nonlinearity to reflect the health condition of the whole structure

Original languageEnglish
StatePublished - 1 Jan 2018
Event9th European Workshop on Structural Health Monitoring, EWSHM 2018 - Manchester, United Kingdom
Duration: 10 Jul 201813 Jul 2018

Conference

Conference9th European Workshop on Structural Health Monitoring, EWSHM 2018
CountryUnited Kingdom
CityManchester
Period10/07/1813/07/18

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