A bridge weigh-in-motion algorithm for fast-passing railway freight vehicles considering bridge-vehicle interaction. (1st December 2022)

• Record Type: Journal Article
• Authors: Xiao, Xiang; Pi, Dongping; Zhu, Qing
• Is Part Of: Mechanical systems and signal processing. Volume 181(2022)
• Publication Date: 2022-12-01
• Subjects: Bridge weigh-in-motion -- Sigma-point Kalman filter -- Vehicle and bridge interaction -- Instrumented bridge -- Bridge vibration data; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2022.109493
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: Accurate weight information of freight vehicles is of great value for the assessment and maintenance of railway infrastructures. Existing bridge weigh-in-motion (BWIM) methods can introduce errors when the vehicle speed is high so that the dynamic effect cannot be filtered by signal processing. This paper proposes a novel BWIM algorithm for fast-passing railway freight vehicles, in which the dynamic coupling of the VB system is utilized. An extended state-space model with unknown mass parameters for the time-dependent VB system is established. Based on the model, an SPKF algorithm with a high convergence rate for identifying the mass parameters is proposed. Numerical examples of freight vehicles passing a 40 m railway bridge with a speed up to 120 km/h are presented to validate the effectiveness of the proposed algorithm.