Analysis of parameters of railway bridge vibration caused by moving rail vehicles

Abstract

The durability and endurance of the exploitation of railway bridges depend on the intensity and the manner of the static and dynamic loads affecting them. Heavy freight trains passing the bridges cause huge vertical and dual-axis vibrations, which are evidenced by the fatigue of the construction of the bridge. The scatter of the acceleration intensity of the railway bridge vibratory oscillation and their parameters are analysed while applying the theory of covariation functions. The results of the measurements of the intensity of the acceleration of vibratory oscillation in the points of support beams recorded in the timescale in the form of arrays (matrixes). Applied covariance function method provides measurement equipment and experimental simplicity of the analysis of the railway bridge vibration signals. The standard scores of mutual covariation functions of the array of the measurement results of the acceleration of digital vibratory oscillation and the standard scores of the auto-covariance functions of separate arrays are altering considering the interval of quantization in the timescale. Results gained by analysis prove the advantage of the rationed auto-covariational functions method while analysing the dynamic oscillation of bridges.

Experimental Study on Vibration and Noise Characteristics of Steel-Concrete Railway Bridge

“…In this standard, it was also noted that the recommended maximum values of span acceleration, determined along each track, should not exceed 3.5 m/s 2 in the case of tracks laid on ballast. The issue of bridge vibrations has been raised in many research papers, including [ 2 , 3 , 4 , 5 , 6 ].…”

The lower limit of the first frequency of natural vibrations externally statically indeterminate truss: analytical solution

“…Analysis of the spectra of natural vibrations of building structures is in demand in solving problems of seismic safety [10][11][12][13][14] and in optimization problems [14][15][16][17].…”

Data-driven sensitivity analysis of contact resistance to assembly errors for proton-exchange membrane fuel cells

“…Of existing quantitative analysis methods including regression analysis, decision tree, Pareto diagram, and factorial design, global sensitivity analysis (GSA) method can evaluate the influences on contact resistance with the randomization of multiple assembly errors. [18][19][20][21] However, this method regularly requires a large number of data samples to achieve accurate estimation of influence degrees, which makes it impractical for some complex relationships. 22 To overcome this shortcoming, this paper attempts to collect more data samples through secondary development of the simulation model, and proposes an improved global sensitivity analysis (IGSA) method to evaluate the influence between assembly errors and contact resistance more efficiently.…”