Results 91 to 100 of about 223,101 (311)

Development in metal multiaxial fatigue life prediction based on physics-informed neural network

open access: yesJixie qiangdu
The research on multiaxial fatigue life prediction of materials is one of the critical elements in ensuring the structural integrity of components. In recent years, machine learning, especially neural networks, has been widely applied in fatigue life ...
ZHANG Zhuanli, SUN Xingyue, CHEN Xu
doaj  

Damage prediction in cross-plied curved composite laminates [PDF]

open access: yes
Analytical and experimental work is detailed which is required to predict delamination onset and growth in a curved cross plied composite laminate subjected to static and fatigue loads. The composite used was AS4/3501/6, graphite/epoxy.
Jackson, Wade C., Martin, Roderick H.
core   +1 more source

Associations of Lifestyle‐Related Factors and Psoriatic Arthritis Disease Activity: The Dutch South West Psoriatic Arthritis Study

open access: yesArthritis Care &Research, EarlyView.
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij   +11 more
wiley   +1 more source

PREDICTION OF MULTIAXIAL LOAD FATIGUE LIFE FOR RUBBER BUSHING

open access: yesJixie qiangdu, 2020
The calculation methods of the maximum principal engineering strain,maximum principal logarithmic strain,maximum principal Green-Lagrange strain,and maximum principal Euler strain and octahedron shear strain peak under uniaxial and multiaxial loading ...
YIN Fang   +4 more
doaj  

Stirling engine: Available tools for long-life assessment [PDF]

open access: yes
A review is presented for the durability approaches applicable to long-time life assessment of Stirling engine hot-section components. The crucial elements are experimental techniques for generating long-time materials property data (both monotonic and ...
Bartolotta, Paul A., Halford, Gary R.
core   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

A Combined High and Low Cycle Fatigue Life Prediction Model for Wind Turbine Blades

open access: yesApplied Sciences
A novel method is proposed for a combined high and low cycle fatigue (CCF) life prediction model based on Miner’s rule, incorporating load interactions and coupled damage effects to evaluate the fatigue life of wind turbine blades under CCF loading.
Miaomiao Li   +2 more
doaj   +1 more source

Axial and torsional fatigue behavior of a cobalt-base alloy [PDF]

open access: yes
In order to develop elevated temperature multiaxial fatigue life prediction models for the wrought cobalt-base alloy, Haynes 188, a multiaxial fatigue data base is required. To satisfy this need, an elevated temperature experimental program on Haynes 188
Bonacuse, Peter J., Kalluri, Sreeramesh
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Multi-physics information-integrated neural network for fatigue life prediction of additively manufactured Hastelloy X superalloy

open access: yesVirtual and Physical Prototyping
The inherent ‘black-box’ characteristic of neural networks renders the physical interpretability of fatigue life prediction challenging, resulting in physically inconsistent prediction results.
Haijie Wang   +3 more
doaj   +1 more source

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