Neutral-axis position based damage detection of bridge deck using strain measurement: Formulation of a Kalman filter estimator

H. W. Xia, Yiqing Ni, X. W. Ye

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)


In selecting monitoring-based damage indices for bridge deck condition assessment, their sensitivity to local damage and robustness with respect to random traffic load patterns are of great concern. In this study, a Kalman filter (KF) estimator is formulated to locate the neutral-axis position from measured strain responses under traffic loading. Its robustness with respect to different extents of noise corrupted in the sensor readings is first testified through numerical simulation of a beam-like bridge deck model. Then its capability for consistently locating the neutral-axis position under varying traffic load patterns is verified using the monitoring data of traffic-induced strain responses obtained from the suspension Tsing Ma Bridge (TMB) under different load scenarios (highway traffic, railway traffic, and their combination). The results indicate that the proposed KF estimator is much more robust than the direct estimation method in the case of noise contamination and gives rise to consistent neutral-axis position estimation results which are independent of load conditions and patterns.
Original languageEnglish
Title of host publicationProceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012
Number of pages7
Publication statusPublished - 1 Dec 2012
Event6th European Workshop on Structural Health Monitoring 2012, EWSHM 2012 - Dresden, Germany
Duration: 3 Jul 20126 Jul 2012


Conference6th European Workshop on Structural Health Monitoring 2012, EWSHM 2012

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Civil and Structural Engineering
  • Building and Construction
  • Safety, Risk, Reliability and Quality

Cite this