380.256 PEOPLE
| People | Locations | Statistics |
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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Abdullah, S.
in Cooperation with on an Cooperation-Score of 37%
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Publications (37/37 displayed)
- 2023On the need to evaluate the probabilistic of fatigue life assessment of random strain loading considering load sequence effectscitations
- 2023Fatigue Life Modelling of Steel Suspension Coil Springs Based on Wavelet Vibration Features Using Neuro-Fuzzy Methodscitations
- 2023Strain generation for fatigue-durability predictions considering load sequence effect of random vibration loadingcitations
- 2022Probabilistic-based fatigue reliability assessment of carbon steel coil spring from random strain loading excitationcitations
- 2021Neuro-fuzzy fatigue life assessment using the wavelet-based multifractality parameterscitations
- 2021Computing low-frequency vibration energy with Holder singularities as durability predictive criterion of random road excitationcitations
- 2021Durability prediction of coil spring through multibody-dynamics-based strain generationcitations
- 2021Predicting fatigue crack growth rate under block spectrum loading based on temperature evolution using the degradation-entropy generation theoremcitations
- 2020Bump Energy for Durability Prediction of Coil Spring Based on Local Regularity Analysiscitations
- 2020Correlation of Uniaxial and Multiaxial Fatigue Models for Automobile Spring Life Assessmentcitations
- 2020Durability assessment of suspension coil spring considering the multifractality of road excitationscitations
- 2020A Novel Way to Overcome Problems Arising in Strain Signal Measurements Leading to a Fatigue Failure Characterisationcitations
- 2020Effect of cycle amplitude removal of fatigue strain loadings associated to signal energy characteristicscitations
- 2019Evaluation of regression tree-based durability models for spring fatigue life assessment
- 2019Multifractal analysis for durability predictive criterion of suspension coil spring signal
- 2019Development of multiple linear regression-based models for fatigue life evaluation of automotive coil springscitations
- 2019Compression of strain load history using holder exponents of continuous wavelet transformcitations
- 2019Optimization of spring fatigue life prediction model for vehicle ride using hybrid multi-layer perceptron artificial neural networkscitations
- 2019Design of artificial neural network using particle swarm optimisation for automotive spring durabilitycitations
- 2018Vibration fatigue analysis of carbon steel coil spring under various road excitationscitations
- 2018Characterizing spring durability for automotive ride using artificial neural network analysiscitations
- 2017The need to generate a force time history towards life assessment of a coil spring
- 2017The Significance to Establish a Durability Model for an Automotive Ridecitations
- 2017Reducing cyclic testing time for components of automotive suspension system utilising the wavelet transform and the Fuzzy C-Meanscitations
- 2017The need to generate realistic strain signals at an automotive coil spring for durability simulation leading to fatigue life assessmentcitations
- 2017Mission profiling of road data measurement for coil spring fatigue lifecitations
- 2015Generating strain signals under consideration of road surface profilescitations
- 2014Application of the wavelet transforms for compressing lower suspension arm strain data
- 2014Wavelet-based feature extraction algorithm for fatigue strain data associated with the k-means clustering technique
- 2014An adaptive artificial bee colony and late-acceptance hill-climbing algorithm for examination timetablingcitations
- 2013Fatigue features extraction of road load time data using the S-transformcitations
- 2013Explicit Nonlinear Finite Element Geometric Analysis of Parabolic Leaf Springs under Various Loadscitations
- 2013Acceleration data extraction associating to the peak-valley segmentation approach using the morlet wavelet transform
- 2012Stress intensity factors for surface cracks in round bar under single and combined loadingscitations
- 2011Emission analysis of a compressed natural gas directinjection engine with a homogenous mixturecitations
- 2011Off-set crack propagation analysis under mixed mode loadingscitations
- 2007A tabu-based large neighbourhood search methodology for the capacitated examination timetabling problemcitations
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document
Stress intensity factors for surface cracks in round bar under single and combined loadings
Abstract
This paper numerically discusses stress intensity factor (SIF) calculations for surface cracks in round bars subjected to single and combined loadings. Different crack aspect ratios, a / b , ranging from 0.0 to 1.2 and the relative crack depth, a / D , in the range of 0.1 to 0.6 are considered. Since the torsion loading is non-symmetrical, the whole finite element model has been constructed, and the loadings have been remotely applied to the model. The equivalent SIF, $F^{*}_{EQ}$ is then used to combine the individual SIF from the bending or tension with torsion loadings. Then, it is compared with the combined SIF, $F^{*}_{FE}$ obtained numerically using the finite element analysis under similar loadings. It is found that the equivalent SIF method successfully predicts the combined SIF, $F^{*}_{EQ}$ for Mode I when compared with $F^{*}_{FE}$ . However, some discrepancies between the results, determined from the two different approaches, occur when F _ III is involved. Meanwhile, it is also noted that the $F^{*}_{FE}$ is higher than the $F^{*}_{EQ}$ due to the difference in crack face interactions and deformations.
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