@inproceedings{8faff642c321428c985375f3e06b0994,
title = "Numerical Studies on Bridge Inspection Using Data Obtained from Sensors on Vehicle",
abstract = "In this study, we proposed a methodology for a technique to simultaneously estimate the mechanical parameters of vehicles and bridges and road surface roughness from vehicle vibration. The MCMC (Markov chain Monte Carlo) method was used to search for parameters from vehicle vibrations generated by numerical simulation. The results obtained are estimable even in the presence of bridge stiffness reduction, which suggests the possibility of bridge damage detection using vehicle vibration.",
author = "Kyosuke Yamamoto and Sachiyo Fujiwara and Kento Tsukada and Ryota Shin and Yukihiko Okada",
note = "Publisher Copyright: {\textcopyright} 2021 Structural Health Monitoring 2021: Enabling Next-Generation SHM for Cyber-Physical Systems - Proceedings of the 13th International Workshop on Structural Health Monitoring, IWSHM 2021. All rights reserved.; 13th International Workshop on Structural Health Monitoring: Enabling Next-Generation SHM for Cyber-Physical Systems, IWSHM 2021 ; Conference date: 15-03-2022 Through 17-03-2022",
year = "2021",
language = "English",
series = "Structural Health Monitoring 2021: Enabling Next-Generation SHM for Cyber-Physical Systems - Proceedings of the 13th International Workshop on Structural Health Monitoring, IWSHM 2021",
publisher = "DEStech Publications Inc.",
pages = "756--763",
editor = "Saman Farhangdoust and Alfredo Guemes and Fu-Kuo Chang",
booktitle = "Structural Health Monitoring 2021",
}