A hybrid time-frequency method for robust drive-by modal identification of bridges. (1st September 2022)

• Record Type: Journal Article
• Authors: Singh, Premjeet; Sadhu, Ayan
• Is Part Of: Engineering structures. Volume 266(2022)
• Publication Date: 2022-09-01
• Subjects: Indirect bridge health monitoring -- Wavelet packet transform -- Vehicle-bridge interaction -- Synchro-extracting transform -- Drive-by monitoring -- Modal identification; 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.2022.114624
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: This paper explores a new time-frequency decomposition method for system identification of bridges using vehicle measurements. The proposed method is validated using a suite of numerical and experimental studies. The proposed method is capable of decoupling vehicle-bridge interactions of vehicle measurement under various operational challenges. The vehicle measurements obtained from a full-scale box-girder bridge are also used to demonstrate the proposed method. Abstract: Indirect bridge health monitoring (iBHM) has gained significant attention in recent years as an alternative to direct bridge monitoring techniques. iBHM leverages the use of a vehicle traveling over a bridge as a sensing device as well as an actuator. The resulting data acquired from the vehicle contains dynamic information about the bridge, vehicle suspension, engine noise, ambient traffic noise, road roughness, etc. Due to the presence of sensor-vehicle-bridge interactions in vehicle measurement, a powerful decoupling framework of system identification is required to extract useful information about the bridge and delineate the effect of vehicle and driving frequencies. This paper proposes a hybrid time-frequency method capable of decoupling vehicle-bridge interactions of vehicle measurement and performing a robust bridge modal identification under various operational challenges. In the proposed research, wavelet packet transformation (WPT) is first used to decompose the vehicle measurement into various WPT coefficients. Then, the modal frequencies of the bridge are extracted from the resulting WPT coefficients using Synchro-Extracting Transform (SET) and are separated from the vehicle and driving frequencies. The proposed method is validated using numerical and laboratory studies as well as a full-scale study comprising of a 220 m long box-girder bridge. The results provide strong evidence that the proposed hybrid time-frequency method can serve as a promising iBHM method.