Load spectrum for automotive wheels hub based on mixed probability distribution model

Abstract

In actual engineering, the actual road test or indoor bench test is usually used to collect the data of the road load of the parts to acquire the fatigue life estimation of the auto parts. This paper proposes a method for load spectrum construction based on the mixed distribution probability model using the data of the road load spectrum collected in the test site. Pau Ta criteria outlier elimination and wavelet signal denoising are applied to analyze the original road load spectrum data. Then the maximum likelihood estimation method is used to estimate the generalized Pareto distribution parameters of all excesses. The Pareto distribution is also employed to extrapolate the load spectrum. Through the characteristic analysis of the load spectrum, the one-dimensional and two-dimensional program load spectrum of the hub is established based on the mixed probability distribution model, which provides a theoretical basis for the life prediction of the hub. In addition, the research results of this paper provide inspirations for the fatigue life prediction and fatigue durability bench test of automotive parts subjected to the complexity and variability of random loads.

Prediction and evaluation of fatigue life for mechanical components considering anelasticity‐based load spectrum

“…Some of the larger loads that may occur will often be missed in the actual collection because of the small number, which will cause large errors in the fatigue life analysis. 34 Therefore, it is necessary to extrapolate the load spectrum from a short distance to a longer distance. Through the grade division and the corresponding frequency statistics, and with the help of the corresponding extrapolation method, the twodimensional load spectrum can be obtained.…”

“…The actual load spectrum is generally collected in the testing ground, and the vehicle testing time and distance are relatively short. Some of the larger loads that may occur will often be missed in the actual collection because of the small number, which will cause large errors in the fatigue life analysis 34 . Therefore, it is necessary to extrapolate the load spectrum from a short distance to a longer distance.…”

Numerical method for fatigue life of plane bolted joints under thermal load

“…In addition, the local stress-strain method considered the effect of loading sequence on the structural life. For the fatigue crack growth problem, the common expression of fatigue crack growth rate is Paris formula 25,26…”

“…Using equations (14) and (20), the relationship among fatigue life, stress and temperature could be gained. Fatigue life surface diagram of aircraft joints could be obtained from equation (25), as shown in As it can be seen from Figure 6, the fatigue life of joints decreases significantly with the increase of stress and temperature. It also shows that the fatigue life and its changing rate under different stresses could be obtained by the numerical method.…”

Vibro-acoustic prediction and evaluation of permanent magnet synchronous motors

“…At present, the automotive industry is experiencing a dramatic change with the increasing demand for new energy vehicle technology. 1,2 In which, the main excitation source of the vehicle vibration and noise has been changed due to the traditional engine device having been replaced by the motor machines. 3 And the high-frequency noises are being gradually exposed with the improving of the driven motor performances both in the speed and in the load, which could be especially uncomfortable for the drivers and passengers.…”