Two-axle test vehicle for damage detection for railway tracks modeled as simply supported beams with elastic foundation. (15th September 2020)

• Record Type: Journal Article
• Authors: Yang, Y.B.; Wang, Z.L.; Shi, K.; Xu, H.; Mo, X.Q.; Wu, Y.T.
• Is Part Of: Engineering structures. Volume 219(2020)
• Publication Date: 2020-09-15
• Subjects: Contact-point response -- Damage detection -- Damage indicator -- Elastic foundation -- Railway track -- Vehicle scanning method; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2020.110908
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: Propose a new, theoretical framework of using two-axle test vehicle to detect damages in railway track supporting components. Propose a new procedure for the two-axle vehicle to calculate the contact-point responses. Use the instantaneous amplitude squared (IAS) of the driving component of the contact-point response as the damage indicator. Factors studied include: damage severity, multi damages, track unevenness, vehicle speed, measurement noise. Demonstrate the IAS to be effective in detecting small damages even under track unevenness. Abstract: For damage detection of railway tracks, a two-axle test vehicle is better than a single-axle vehicle due to its capability of self standing and stability. This paper presents a new, comprehensive theoretical framework for a two-axle test vehicle moving over railway tracks modeled as a simply supported beam with elastic foundation. Firstly, closed-form solutions for both the vehicle and rail responses of the system were derived, along with those for the two contact points by a back calculation procedure. Secondly, the driving component of the contact-point response was processed by the Hilbert transform to yield the Instantaneous Amplitude Squared (IAS) for damage detection. Then, the efficacy of the proposed technique was numerically validated by the Finite Element Method (FEM). Particularly, the sensitivity of the proposed technique was investigated against various factors, including the damage severity, multi damages, vehicle speed, track unevenness, track damping, and measurement noise. The result shows that the IAS of the driving component of the contact point response of the railway track is a good damage indicator in that it is of low frequencies and narrow band, while its modal amplitude is sensitive to the stiffness loss in rail supports.