[HTML][HTML] A comparative review of time-and frequency-domain methods for fatigue damage assessment
In this paper, a comparative review between time-and frequency-domain methods for fatigue
damage assessment is performed. The principal steps of a fatigue study are described in …
damage assessment is performed. The principal steps of a fatigue study are described in …
Probabilistic SN fields based on statistical distributions applied to metallic and composite materials: State of the art
JF Barbosa, JAFO Correia… - Advances in …, 2019 - journals.sagepub.com
Fatigue life prediction of materials can be modeled by deterministic relations, via mean or
median SN curve approximation. However, in engineering design, it is essential to consider …
median SN curve approximation. However, in engineering design, it is essential to consider …
Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations
SP Zhu, Q Liu, Q Lei, Q Wang - International Journal of …, 2018 - journals.sagepub.com
In the present work, a probabilistic framework for fatigue life prediction and reliability
assessment of an engine high pressure turbine disc is proposed to incorporate the effects of …
assessment of an engine high pressure turbine disc is proposed to incorporate the effects of …
Generalized probabilistic model allowing for various fatigue damage variables
This paper proposes a generalization of the Castillo and Fernández-Canteli probabilistic
fatigue model and shows how most fatigue models can be obtained as particular cases …
fatigue model and shows how most fatigue models can be obtained as particular cases …
A one-parameter nonlinear fatigue damage accumulation model
K Rege, DG Pavlou - International Journal of Fatigue, 2017 - Elsevier
A nonlinear model for fatigue damage accumulation under variable amplitude loading is
presented. The known assumption that the isodamage curves are converging at the knee …
presented. The known assumption that the isodamage curves are converging at the knee …
A new nonlinear fatigue damage model based only on SN curve parameters
Several fatigue damage models have been proposed in the past to overcome the
shortcomings of the commonly used Miner's rule. However, application of these models …
shortcomings of the commonly used Miner's rule. However, application of these models …
Integration of symbolic regression and domain knowledge for interpretable modeling of remaining fatigue life under multistep loading
L Gan, H Wu, Z Zhong - International Journal of Fatigue, 2022 - Elsevier
This research work aims to explore the integration of data-driven symbolic regression (SR)
and domain knowledge to model the remaining fatigue life under multistep loading. To this …
and domain knowledge to model the remaining fatigue life under multistep loading. To this …
Development of multiple linear regression-based models for fatigue life evaluation of automotive coil springs
This paper discusses the establishment of multiple linear regression (MLR)-based spring
durability models for predicting the fatigue life of automotive coil springs based on the …
durability models for predicting the fatigue life of automotive coil springs based on the …
A coupled 3D wear and fatigue numerical procedure: Application to fretting problems in ultra-high strength steel wires
This work presents a coupled 3D wear and fatigue numerical procedure for fretting problems
in ultra-high strength steel wires that combines Archard's wear equation with the Smith …
in ultra-high strength steel wires that combines Archard's wear equation with the Smith …
Estimation of remaining fatigue life under two-step loading based on kernel-extreme learning machine
L Gan, X Zhao, H Wu, Z Zhong - International Journal of Fatigue, 2021 - Elsevier
Remaining fatigue life estimations are not trivial problems for most engineering applications.
They could even become quite challenging for general multistep load spectrums, particularly …
They could even become quite challenging for general multistep load spectrums, particularly …