Parameter distribution characteristics of material fatigue life using improved bootstrap method

Quality & Reliability Eng

Wang

et al. 2020

Self Cite

To further study the law of strength degradation, the residual strength degradation model is established based on the definition of fatigue damage, considering the interaction of various uncertain factors and time factors in service environment. Combined with equivalent damage model, a nonlinear cumulative damage model is proposed, which takes the interaction among loading loads into account and improves the accuracy of calculation. Additionally, the equivalent transformation of multistage load is studied using interval theory. According to the interval dynamic nonprobability reliability prediction model, a dynamic reliability analysis of the interval model is carried out. Dynamic reliability of the component is analyzed under multistage load accumulation damage to verify the effectiveness of the method.

Section: Introductionmentioning

confidence: 99%

Interval dynamic reliability analysis of mechanical components under multistage load based on strength degradation

Jiang

Quality & Reliability Eng

Wang

et al. 2020

Self Cite

“…The two-dimensional joint probability density function of the load is shown in equations (27) and (28) Table 8. Common probability distribution.…”

Section: Declaration Of Conflicting Interestsmentioning

confidence: 99%

“…The mixed probability distribution is widely adopted in various fields including meteorological analysis, 25 signal processing, 26 environmental protection, 27 and material life estimate. 28 Combining structural health monitoring (SHM) data with reliability analysis programs, a mixture distribution model is used to accurately assess the reliability of monitoring structural components. 29 Wu et al 30 suggested an indirect probability model for reliability assessment of multi-body mechanism.…”

Section: Introductionmentioning

confidence: 99%

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

Geng

Proceedings of the Institution of Mechanical Engineers, Part D:

Yang

et al. 2019

Self Cite

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.

“…Under cyclic loading, a large number of engineering practices proved that the main failure form of mechanical parts is fatigue damage. 1,2 Most service structures on automobiles are subjected to cyclic loads, so fatigue damage and fracture of components is one of the main failure forms. Due to the complexity and unpredictability of the road conditions, the front stabilizer bar of the car is often impacted by the load cycles from the road surface.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Fatigue Fract Eng Mat Struct

Jiang

et al. 2020

Self Cite

To accurately predict the degraded fatigue life of components under random loads, anelasticity effect of metal on life estimation needs to be explored. Weighting coefficient and dynamic elastic modulus are introduced to modify the calculation process of the model. By establishing an equal-amplitude fatigue median surface and applying Miner linear fatigue cumulative damage theory, a fatigue life prediction model of the component under random loads is proposed. The model can be used to calculate the degraded fatigue life of components, which provides a theoretical basis for life estimation under random load spectrum. The two-dimensional load spectrum is compared with the unprocessed two-dimensional load spectrum and the one-dimensional program spectrum in life prediction results. With the comparison of the target life and simulation life and the data calculated by the model of the automobile front stabilizer bar, it is concluded that the data obtained by the modified model are more reasonable and accurate.