Structural Damage Localization under Unknown Seismic Excitation Based on Mahalanobis Squared Distance of Strain Transmissibility Function
Source abstract
Abstract
Due to the unpredictability of seismic excitation, the data-driven damage identification method, which only depends on the monitoring response data, has a good development prospect in structural health monitoring. In recent years, damage identification methods based on transmissibility function (TF) and Mahalanobis squared distance (MSD) have been widely studied. However, the existing methods are only applicable to damage warning. To overcome this limitation, an improved method for structural damage localization is proposed. Strain TF is used to eliminate the influence of unknown ambient excitation and unknown seismic excitation, which is more sensitive to local damage than traditional TF based on acceleration and displacement data. The MSD of strain TF is employed to construct a novel damage indicator that is used to identify the damage location. Two numerical simulations have been conducted to verify the feasibility of the method for damage localization and good anti-noise performance. In the case of the multi-damage condition, the novel damage indicator is performed to estimate the severity of damage to some extent.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Ultrasonics and Acoustic Wave Propagation · Infrastructure Maintenance and Monitoring
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, Xiamen University, Xiamen 361005, China
Funding
National Natural Science Foundation of China · National Key R&D Program of China · Fujian Natural Science Foundation
References (39)
Show source-provided references
1. Rytter, A., Brincker, R., and Hansen, L.P. (1993). Vibration Based Inspection of Civil Engineering Structures. [Ph.D. Thesis, Aalborg University].
2. Vibration-based damage identification methods: A review and comparative study10.1177/1475921710365419 ↗
3. A summary review of vibration-based damage identification methods10.1177/058310249803000201 ↗
4. A two-step drive-by bridge damage detection using dual Kalman filter10.1142/S0219455420420067 ↗
5. A data-driven approach for regional bridge condition assessment using inspection reports
6. An Enhanced Power Spectral Density Transmissibility (EPSDT) approach for operational modal analysis: Theoretical and experimental investigation10.1016/j.engstruct.2015.08.009 ↗
7. Combining multiple single-reference transmissibility functions in a unique matrix formulation for operational modal analysis10.1016/j.ymssp.2013.04.008 ↗
8. Modal parameter identification based on combining transmissibility functions and blind source separation techniques10.1016/j.ymssp.2017.12.016 ↗
9. Transmissibility-based system identification for structural health monitoring: Fundamentals, approaches, and applications10.1016/j.ymssp.2018.06.053 ↗
10. Damage localization using transmissibility functions: A critical review10.1016/j.ymssp.2013.01.020 ↗
11. Model updating using antiresonant frequencies identified from transmissibility functions10.1016/j.jsv.2012.10.021 ↗
12. Application of transmissibility matrix and random matrix to Bayesian system identification with response measurements only10.1088/0964-1726/25/10/105017 ↗
13. Experimental validation of the direct transmissibility approach to classical transfer path analysis on a mechanical setup10.1016/j.ymssp.2013.01.006 ↗
14. General framework for transfer path analysis: History, theory and classification of techniques10.1016/j.ymssp.2015.08.004 ↗
15. Force magnitude reconstruction using the force transmissibility concept
16. Force identification based on a comprehensive approach combining Taylor formula and acceleration transmissibility10.1080/17415977.2017.1417407 ↗
17. Force and displacement transmissibility of a nonlinear isolator with high-static-low-dynamic stiffness10.1016/j.ijmecsci.2011.11.012 ↗
18. Using the detection and relative damage quantification indicator (DRQ) with transmissibility10.4028/www.scientific.net/KEM.347.455 ↗
19. Damage detection and quantification using transmissibility10.1016/j.ymssp.2011.04.002 ↗
20. Damage detection and quantification using transmissibility coherence analysis
21. Zhou, Y.L., Cao, H.Y., Liu, Q.M., and Wahab, M.A. (2017). Output-based structural damage detection by using correlation analysis together with transmissibility. Materials, 10.10.3390/ma10080866 ↗
22. Cosine based and extended transmissibility damage indicators for structural damage detection10.1016/j.engstruct.2017.03.030 ↗
23. Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure10.1177/1475921716680849 ↗
24. Study on structural damage identification based on the transmissibility function
25. Transmissibility-based damage detection using angular velocity versus acceleration10.1007/s13349-018-0297-0 ↗
26. An analytical perspective about structural damage identification based on transmissibility function10.1177/1475921719838079 ↗
27. Weighted transmissibility assurance criterion for structural damage detection10.1061/(ASCE)AS.1943-5525.0001251 ↗
28. A multi-state strategy for structural damage detection using sensitivity of weighted transmissibility function10.1142/S0219455421501443 ↗
29. Hou, Z.Q. (2016). Structural Damage Identification Based on Cosh Spectral Distance and Transmissibility. [Master’s Thesis, Lanzhou University of Technology]. (In Chinese).
30. Damage detection in structures using a transmissibility-based Mahalanobis distance10.1002/stc.1743 ↗
31. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring10.21595/jve.2016.17226 ↗
32. Chen, J.B. (2013). Study on the Structural Damage Identification Based on Acceleration Transmissibility Function. [Master’s Thesis, Qingdao Technological University]. (In Chinese).
33. Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure10.1177/1077546316674544 ↗
34. Structural damage detection by using wavelet based transmissibility function
35. Xu, D.F. (2015). Structural Damage Identification of Offshore Platform Based on the Vibration Transmissibility Function and Statistical Hypothesis Testing. [Master’s Thesis, Qingdao Technological University]. (In Chinese).
36. A Mahalanobis distance cumulant-based structural damage identification method with IMFs and fitting residual of SHM measurements10.1155/2020/6932463 ↗
37. Niezrecki, C. (2017). Damage detection based on strain transmissibility for beam structure by using distributed fiber optics. Structural Health Monitoring & Damage Detection, Volume 7, Springer.10.1007/978-3-319-54109-9 ↗
38. Integrated optimal placement of displacement transducers and strain gauges for better estimation of structural response10.1142/S0219455411004221 ↗
39. Bridge seismic damage identification based on seismic fragility analysis