Drive-by interlayer damage detection methodology for heavy-haul Railway Bridge using axle box acceleration

Abstract

As critical component of heavy-haul railway (HHR) bridge, the interlayer is designed to transfer vehicle load and dissipate residual oscillation. The increasing transport volumes and axle loads can degrade interlayer condition, thereby threatening the operation safety of HHR bridge. This paper proposes an innovative drive-by inspection methodology combining vertical axle box acceleration with a hybrid filtering approach for rapid interlayer damage detection in multi-span HHR bridges. The developed framework introduces a Hilbert-transform-based indicator, instantaneous amplitude quartic index (IAQI), to enhance damage localization accuracy. The hybrid filtering methodology integrates two components: (1) bandpass filtering targeting sleeper-passing frequency components to suppress track irregularity effects and enhance the interlayer damage detection efficiency; (2) a statistical diagnostic tool to diagnose whether the abnormal signal from the sleeper-related driving component of axle box acceleration is interlayer damage in multi-span HHR bridges. The feasibility of the proposed method is validated by numerical analyses and a field test of an 18-span HHR bridge. The analyses results indicate that the proposed method has good effectiveness and efficiency in detecting interlayer damage, even combined with beam damage, irregularity and noise. This research offers a new strategy to enhance the inspection efficiency and ensure the operation safety of HHR bridges.

Keywords

Heavy-haul railway (HHR) bridge / Drive-by interlayer damage detection / Instantaneous amplitude quartic index (IAQI) / Hybrid filtering analysis / Axle box acceleration (ABA)

References

[1] Joshuva A, Sugumaran VA. Comparative study of Bayes classifiers for blade fault diagnosis in wind turbines through vibration signals. Struct Durab Health Monit, 2017, 12(1): 69-90

[2] Yang Y, Lin C, Yau J. Extracting bridge frequencies from the dynamic response of a passing vehicle. J Sound Vib, 2004, 272(3–5): 471-493

[3] Yang Y, Xu H, Zhang B, et al. . Measuring bridge frequencies by a test vehicle in non-moving and moving states. Eng Struct, 2020, 203 109859

[4] Yang Y, Mo X, Shi K, et al. . Scanning torsional-flexural frequencies of thin-walled box girders with rough surface from vehicles’ residual contact response: theoretical study. Thin Walled Struct, 2021, 169 108332

[5] Yang Y, Li Y, Chang K. Using two connected vehicles to measure the frequencies of bridges with rough surface: a theoretical study. Acta Mech, 2012, 223(8): 1851-1861

[6] Yang Y, Lee Y, Chang K (2013) Effect of road surface roughness on extraction of bridge frequencies by moving vehicle. In: Mechanics and model-based control of advanced engineering systems. Springer, Vienna

[7] Yang Y, Xu H, Mo X, et al. . An effective procedure for extracting the first few bridge frequencies from a test vehicle. Acta Mech, 2021, 232(3): 1227-1251

[8] Yang Y, Li Y, Chang K. Constructing the mode shapes of a bridge from a passing vehicle: a theoretical study. Smart Struct Syst, 2014, 13(5): 797-819

[9] Yang Y, Zhang B, Qian Y, et al. . Contact-point response for modal identification of bridges by a moving test vehicle. Int J Str Stab Dyn, 2018, 18(5): 1850073

[10] Xu H, Liu Y, Chen J, et al. . Novel formula for determining bridge damping ratio from two wheels of a scanning vehicle by wavelet transform. Mech Syst Signal Process, 2024, 208 111026

[11] Yang Y, Zhang B, Chen Y, et al. . Bridge damping identification by vehicle scanning method. Eng Struct, 2019, 183: 637-645

[12] Yang Y, Shi K, Wang Z, et al. . Using a single-DOF test vehicle to simultaneously retrieve the first few frequencies and damping ratios of the bridge. Int J Str Stab Dyn, 2021, 21(8): 2150108

[13] Yang Y, Yang M, Liu D, et al. . Bridge damping formula based on instantaneous amplitudes of vehicle’s front and rear contact responses by Hilbert transform. Int J Struct Stab Dyn, 2024, 24(15): 2471006

[14] González A, OBrien EJ, McGetrick PJ. Identification of damping in a bridge using a moving instrumented vehicle. J Sound Vib, 2012, 331(18): 4115-4131

[15] Tan C, Uddin N, OBrien EJ, et al. . Extraction of bridge modal parameters using passing vehicle response. J Bridge Eng, 2019, 24(9 04019087

[16] Zhan Y, Au FTK, Zhang J. Bridge identification and damage detection using contact point response difference of moving vehicle. Struct Control Health Monit, 2021, 2812 e2837

[17] Kong X, Cai C, Kong B. Numerically extracting bridge modal properties from dynamic responses of moving vehicles. J Eng Mech, 2016, 1426): 04016025

[18] Zhan J, Wang Z, Kong X, et al. . A drive-by frequency identification method for simply supported railway bridges using dynamic responses of passing two-axle vehicles. J Bridge Eng, 2021, 26(11): 04021078

[19] Zhan J, You J, Kong X, et al. . An indirect bridge frequency identification method using dynamic responses of high-speed railway vehicles. Eng Struct, 2021, 243 112694

[20] Zhan J, Liu Y, Li J, et al. . Frequency identification and damage detection of bridges using virtual contact-point responses of railway vehicle. Int J Str Stab Dyn, 2023, 23(8): 2350090

[21] de Souza EF, Bragança C, Ribeiro D, et al. . Drive-by damage detection methodology for high-speed railway bridges using sparse autoencoders. Railw Eng Sci, 2024

[22] Zhan J, Xia H, Chen S, et al. . Structural damage identification for railway bridges based on train-induced bridge responses and sensitivity analysis. J Sound Vib, 2011, 330(4): 757-770

[23] Wang Y, Zhan J, Li J, et al. . Damage detection of spatial track–bridge system with interlayer connection using high-speed train response and sensitivity analysis. Int J Str Stab Dyn, 2024, 24(2): 2450014

[24] Zhang B, Qian Y, Wu Y, et al. . An effective means for damage detection of bridges using the contact-point response of a moving test vehicle. J Sound Vib, 2018, 419: 158-172

[25] Yang Y, Zhang B, Qian Y, et al. . Further revelation on damage detection by IAS computed from the contact-point response of a moving vehicle. Int J Struct Stab Dyn, 2018, 18(11): 1850137

[26] Yang Y, Wang Z, Wang B, et al. . Track modulus detection by vehicle scanning method. Acta Mech, 2020, 231(7): 2955-2978

[27] Yang Y, Shi K, Wang Z, et al. . Theoretical study on a dual-beam model for detection of track/bridge frequencies and track modulus by a moving vehicle. Eng Struct, 2021, 244 112726

[28] Yang Y, Wang Z, Shi K, et al. . Two-axle test vehicle for damage detection for railway tracks modeled as simply supported beams with elastic foundation. Eng Struct, 2020, 219 110908

[29] Yang Y, Hu X, Shi K, et al. . Damage detection for constituents of track-bridge systems from driving component of vehicle–rail contact response. Eng Struct, 2022, 259 114143

[30] Shi K, Hu X, Mo X, et al. . Theory for computing vehicle-rail contact responses from a multi-DOF test vehicle and detecting track modulus and rail damages. Appl Math Model, 2023, 121: 403-429

[31] Erduran E, Pettersen FM, Gonen S, et al. . Identification of vibration frequencies of railway bridges from train-mounted sensors using wavelet transformation. Sensors (Basel), 2023, 23(3): 1191

[32] Li H, Xia H, Soliman M, et al. . Bridge stress calculation based on the dynamic response of coupled train–bridge system. Eng Struct, 2015, 99: 334-345

[33] Han B (2022) Study on mud pumping mechanism and long-term dynamic charateristic of ballasted track subgrade. Dissertation, Beijing Jiaotong University

[34] Xia H, Zhang N, Guo W. Dynamic interaction of train-bridge systems in high-speed railways, 2018, Berlin, Springer

[35] Sato M, Kanie S, Mikami T. Mathematical analogy of a beam on elastic supports as a beam on elastic foundation. Appl Math Model, 2008, 32(5): 688-699

Funding

National Natural Science Foundation of China(52578157)

China State Railway Group Science and Technology Research and Development Program(L2024G002)

RIGHTS & PERMISSIONS

The Author(s)