Numerical Verification of the Drive-By Monitoring Method for Identifying Vehicle and Bridge Mechanical Parameters

The PRE (numerical simulation-based vehicle and bridge parameter road roughness estimation) method uses vibration data to identify the vehicle’s bridge’s mechanical parameters estimate unevenness simultaneously. This randomly assumes first. Secondly, it solves IEP (input estimation problem) DRS (dynamic response simulation) from obtain profiles of front rear wheels. Repeat random assumption minimize residual between obtained because wheels are expected match. To search for a better combination parameters, MCMC (Monte Carlo Markov chain) algorithm is adopted in this paper. paper also numerically simulates cases reduced-stiffness model examines whether can position, range, magnitude stiffness reduction. numerical simulation results show that bridge-stiffness reduction be estimated reasonably.