Sentence examples for moving load identification from inspiring English sources

Yu and Chan [5] reviewed the recent works on moving load identification on bridges.

Recognizing the practical significance of the research on moving load identification, efforts have been made to estimate vehicle load from the bridge dynamic response using various techniques to improve the accuracy.

Recently, Wu and Law [15] adopted stochastic finite-element-based method for moving load identification and further, they presented a new approach of vehicle axle load identification using Karhunen Loeve expansion of stochastic process with irregular road surface [16].

First, we present a comparative study with the method proposed by Law et al. [41] based on simulated data to judge the efficiency of particle filter approach for moving load identification.

Moving load identification in multi-span beams was also reported in Refs. [13, 14], where the effect of noise, number of vibration modes, and effect of support flexibility for non-rigid bearings were considered.

The influence, on the moving load identification, of practical aspects such as measurement noise, sampling frequency, a small number of measured response modes, a small number of measuring points, road surface roughness and non-uniform velocity or braking of vehicle is studied in simulations and experiment.

Literatures available on the identification of moving load parameters on bridges using particle filter technique are scanty.

A new method for crack identification of bridge beam structures under a moving load based on wavelet analysis is presented.

Both a single moving load and a series of equidistant moving loads are considered.

Moving load effect on pavements is actual engineering problem.

The moving load is formed by an infinite succession of equally spaced vehicles moving with constant velocity.