10.5061/DRYAD.44J0ZPCC3
Yang, Mijia
0000-0002-5781-8765
North Dakota State University
Liu, Chang
North Dakota State University
Possibility of bridge inspection through drive-by vehicles
Dryad
dataset
2020
FOS: Civil engineering
North Dakota EPSCoR*
Faculty Seed Grant
North Dakota EPSCoR
Faculty Seed Grant
2020-08-31T00:00:00Z
2020-08-31T00:00:00Z
en
7471999 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Based on virtual simulations of vehicle-bridge interactions, the
possibility of detecting stiffness reduction damages in bridges through
vehicle responses has been tested in two dimensional (2D) and three
dimensional (3D) settings. Short Time Fourier Transformation (STFT) has
been used to process the acceleration data of vehicles. The energy band
variation was found strongly related to damage parameters. More important,
initial entering conditions of vehicles are critical in obtaining vehicle
responses through the vehicle bridge interaction models. Through different
levels of road profile roughness, the offset distance needed before
executing the vehicle-bridge interaction (VBI) modeling is obtained.
Series of ABAQUS models are simulated and data extracted through the
bridge-vehicle interactions. From the vehicel acceleration data, FFT and
short time fourier transformation have been conducted to extract the
features of the data.
CAE files are the ABAQUS model files. .xls files are the vehicle
acceleration data extracted. FFT and STFT are the matlab codes for the
fourier transform and the short time fourier transform, respectively.