Structural health monitoring for pinching structures via hysteretic mechanics models

Mohammad Rabiepour, Cong Zhou, James G. Chase, Geoffrey W. Rodgers, Chao Xu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Many Structural Health Monitoring (SHM) methods have been proposed for structural damage diagnosis and prognosis. However, SHM for pinched hysteretic structures can be problematic due to the high level of nonlinearity. The model-free hysteresis loop analysis (HLA) has displayed notable robustness and accuracy in identifying damage for full-scaled and scaled test buildings. In this paper, the performance of HLA is compared with seven other SHM methods in identifying lateral elastic stiffness for a six-story numerical building with highly nonlinear pinching behavior. Two successive earthquakes are employed to compare the accuracy and consistency of methods within and between events. Robustness is assessed across sampling rates 50-1000 Hz in noise-free condition and then assessed with 10% root mean square (RMS) noise added to responses at 250 Hz sampling rate. Results confirm HLA is the most robust method to sampling rate and noise. HLA preserves high accuracy even when the sampling rate drops to 50 Hz, where the performance of other methods deteriorates considerably. In noisy conditions, the maximum absolute estimation error is less than 4% for HLA. The overall results show HLA has high robustness and accuracy for an extremely nonlinear, but realistic case compared to a range of leading and recent model-based and model-free methods.

Original languageEnglish
Pages (from-to)245-258
Number of pages14
JournalStructural Engineering and Mechanics
Volume82
Issue number2
DOIs
StatePublished - 25 Apr 2022

Keywords

  • Hysteresis loop analysis (HLA)
  • Model-free SHM
  • Piecewise linear regression (PLR)
  • Pinched hysteretic structure
  • Structural health monitoring (SHM)

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