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Service life prediction of fly ash concrete using an artificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 793-805 doi: 10.1007/s11709-021-0717-9

Abstract: purpose, the present work estimates the lifetime of fly ash concrete by developing a carbonation depth predictionFinally, a mathematical formula is proposed that can be used to successfully estimate the service life

Keywords： concrete     fly ash     carbonation     neural networks     experimental validation     service life    

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LCF behavior and life prediction method of a single crystal nickel-based superalloy at high temperature

Zhihua ZHANG,Huichen YU,Chengli DONG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 418-423 doi: 10.1007/s11465-015-0362-x

Abstract: stress range were introduced to the Smith, Watson, and Topper (SWT) stress model to predict the fatigue lifeThe fatigue life of the tensile, compressive, and balanced strain dwell tests are shorter than those

Keywords： life prediction     single crystal superalloy     low cycle fatigue (LCF)     crystallographic orientation     strain    

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The prediction technology study of fatigue life for key parts of a tracked vehicle’s suspension system

WANG Hongyan, RUI Qiang, HE Xiaojun

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 68-71 doi: 10.1007/s11465-007-0011-0

Abstract: In allusion to fatigue life of a tracked vehicle torsion bar, a virtual prototype model of the trackedsimulation were acquired; taking into account the material characteristics and influential factors, fatigue life

Keywords： dynamic simulation     simulation software     allusion     influential     material    

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An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 301-310 doi: 10.1007/s11465-017-0449-7

Abstract: mixture model (GMM) and distance evaluation technique (DET) is proposed to predict the remaining useful lifeobtaining the health states, appropriate features are selected by DET for increasing the classification and predictionIn the prediction process, each vibration signal is decomposed into several components by empirical mode

Keywords： Gaussian mixture model     distance evaluation technique     health state     remaining useful life     rolling bearing    

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Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: The prediction of the remaining useful life (RUL) of lithium batteries not only provides a referenceIn order to improve the prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction methodthe RMSE of all capacity estimation is less than 1.2%, and the accuracy percentage (AP) of remaining lifeprediction is more than 98%.Experiments show that the method does not need human intervention and has high prediction accuracy.

Keywords： lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

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Fatigue Life Prediction of Long-Life Pavement Using Frequency-Domain Analysis

Wei Baoli,Guo Chengchao and Cui Can

Strategic Study of CAE 2017, Volume 19, Issue 6,   Pages 80-85 doi: 10.15302/J-SSCAE-2017.06.012

Abstract:

This paper analyses a pavement fatigue life prediction method for asphaltA detailed frequency domain analysis of fatigue life was carried out.power spectral density of the vehicle-road coupling vibration is a useful tool to predict the fatigue lifeof pavements, and corresponding prediction procedures are proposed, which are aimed at providing somereference for long-life pavement design and performance evaluation.

Keywords： long-life pavement     fatigue life prediction     random vibration     power spectral density    

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Contact fatigue life prediction of a bevel gear under spectrum loading

Pan JIA, Huaiju LIU, Caichao ZHU, Wei WU, Guocheng LU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 123-132 doi: 10.1007/s11465-019-0556-8

Abstract: Such issues can dramatically affect the service life of associated machines.Multiaxial stress–strain states are simulated with the finite element method, and the RCF life is predictedThe patterns of fatigue life on the tooth surface are simulated under various loading levels, and theThe effects of various fatigue damage accumulation rules on fatigue life are compared and discussed in

Keywords： bevel gear     rolling contact fatigue (RCF)     multiaxial fatigue criterion     load spectrum     damage accumulation rule    

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Fatigue Life Prediction of Fiber Reinforced Metal Laminates Under Variable Amplitude Loading

Wu Xueren,Guo Yajun

Strategic Study of CAE 1999, Volume 1, Issue 3,   Pages 35-40

Abstract: Reliable life prediction methods are required for the successful application of this material.For this purpose, a mechanism-based fatigue model was developed for the prediction of the fatigue lives

Keywords： fiber reinforced metal laminates     fatigue     bridging stress     delamination     life prediction    

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A model for creep life prediction of thin tube using strain energy density as a function of stress triaxiality

Tahir MAHMOOD, Sangarapillai KANAPATHIPILLAI, Mahiuddin CHOWDHURY

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 181-186 doi: 10.1007/s11465-013-0257-7

Abstract:

This paper demonstrates the application of a new multiaxial creep damage model developed by authors using stress traixiality to predict the failure time of a component made of 0.5%Cr-0.5%Mo-0.25%V low alloy steel. The model employs strain energy density and assumes that the uniaxial strain energy density of a component can be easily calculated and can be converted to multi-axial strain energy density by multiplying it to a function of stress trixiality which is a ratio of mean stress to equivalent stress. For comparison, an elastic-creep and elastic-plastic-creep finite element analysis (FEA) is performed to get multi-axial strain energy density of the component which is compared with the calculated strain energy density for both cases. The verification and application of the model are demonstrated by applying it to thin tube for which the experimental data are available. The predicted failure times by the model are compared with the experimental results. The results show that the proposed model is capable of predicting failure times of the component made of the above-mentioned material with an accuracy of 4.0%.

Keywords： elastic-creep     elastic-plastic-creep     stress triaxiality     life prediction     pressure vessels     finite element    

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Evaluation method of multiaxial low cycle fatigue life for cubic single crystal material

CHEN Jiping, DING Zhiping

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 278-282 doi: 10.1007/s11465-007-0048-0

Abstract: and a variable k, which is introduced to express the effect of asymmetrical cyclic loading on fatigue life, a low cycle fatigue (LCF) life prediction model for such material in multiaxial stress starts is proposed

Keywords： orthotropic     regression analysis     crystal material     multiaxial     prediction    

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A Study on Methodology for Predicting the Damage to Structural Materials and Remaining Life of Process

Dai Shuhe

Strategic Study of CAE 1999, Volume 1, Issue 3,   Pages 63-68

Abstract:

The universe of methodology for predicting the damage to structural materials and remaining life ofThe technique for predicting the damage to structural materials and remaining life of process equipmentthis study, a series of new techniques for predicting the damage to structural materials and remaining life

Keywords： damage to structural materials     life prediction     process equipment    

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Application of quantum chemical descriptors into quantitative structure-property relationship models for predictionof the photolysis half-life of PCBs in water

Yueping BAO, Qiuying HUANG, Wenlong WANG, Jiangjie XU, Fan JIANG, Chenghong FENG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 505-511 doi: 10.1007/s11783-011-0318-2

Abstract: Quantitative structure-property relationship (QSPR) models were developed for prediction of photolysishalf-life ( ) of polychlorinated biphenyls (PCBs) in water under ultraviolet (UV) radiation.The cross-validated value for the optimal QSPR model is 0.966, indicating good prediction capability

Keywords： photolysis     polychlorinated biphenyls (PCBs)     quantitative structure-property relationships (QSPRs)     quantum chemical descriptors    

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Contact Pressure and Fatigue Life Prediction of Kiln Rolling Ring Under Intermittent Contact

Shi Yu,Xiao Yougang,Lei Xianming

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 54-57

Abstract: By applying nominal stress method and local stress-strain method, the fatigue life prediction model ofThe results show that the fatigue life can be improved greatly if the rolling ring load can be controlledThere exits an optimal angle which will enhance rolling ring life to the utmost.

Keywords： rolling ring     contact pressure     support angle     fatigue life    

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Some remarks on the engineering application of the fatigue crack growth approach under nonzero mean loads

Jorge Alberto Rodriguez DURAN,Ronney Mancebo BOLOY,Rafael Raider LEONI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 255-262 doi: 10.1007/s11465-015-0342-1

Abstract: integrated between the initial and final crack sizes in order to obtain the safety factors for stresses and life

Keywords： fatigue crack propagation modeling     life prediction     mean stress effects    

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Prediction of Disc Cutter Life During Shield Tunneling with AI via the Incorporation of a Genetic Algorithm Article

Khalid Elbaz, Shui-Long Shen, Annan Zhou, Zhen-Yu Yin, Hai-Min Lyu

Engineering 2021, Volume 7, Issue 2,   Pages 238-251 doi: 10.1016/j.eng.2020.02.016

Abstract: This study proposes a new model to estimate the disc cutter life (Hf) by integratingThe results indicate that the hybrid model predicts disc cutter life with high accuracy.sensitivity analysis reveals that the penetration rate (PR) has a significant influence on disc cutter life

Keywords： Disc cutter life     Shield tunneling     Operational parameters     GMDH–GA    

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Title Author Date Type Operation

Service life prediction of fly ash concrete using an artificial neural network

Journal Article

LCF behavior and life prediction method of a single crystal nickel-based superalloy at high temperature

Zhihua ZHANG,Huichen YU,Chengli DONG

Journal Article

The prediction technology study of fatigue life for key parts of a tracked vehicle’s suspension system

WANG Hongyan, RUI Qiang, HE Xiaojun

Journal Article

An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Journal Article

Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural

Journal Article

Fatigue Life Prediction of Long-Life Pavement Using Frequency-Domain Analysis

Wei Baoli,Guo Chengchao and Cui Can

Journal Article

Contact fatigue life prediction of a bevel gear under spectrum loading

Pan JIA, Huaiju LIU, Caichao ZHU, Wei WU, Guocheng LU

Journal Article

Fatigue Life Prediction of Fiber Reinforced Metal Laminates Under Variable Amplitude Loading

Wu Xueren,Guo Yajun

Journal Article

A model for creep life prediction of thin tube using strain energy density as a function of stress triaxiality

Tahir MAHMOOD, Sangarapillai KANAPATHIPILLAI, Mahiuddin CHOWDHURY

Journal Article

Evaluation method of multiaxial low cycle fatigue life for cubic single crystal material

CHEN Jiping, DING Zhiping

Journal Article

A Study on Methodology for Predicting the Damage to Structural Materials and Remaining Life of Process

Dai Shuhe

Journal Article

Application of quantum chemical descriptors into quantitative structure-property relationship models for predictionof the photolysis half-life of PCBs in water

Yueping BAO, Qiuying HUANG, Wenlong WANG, Jiangjie XU, Fan JIANG, Chenghong FENG

Journal Article

Contact Pressure and Fatigue Life Prediction of Kiln Rolling Ring Under Intermittent Contact

Shi Yu,Xiao Yougang,Lei Xianming

Journal Article

Some remarks on the engineering application of the fatigue crack growth approach under nonzero mean loads

Jorge Alberto Rodriguez DURAN,Ronney Mancebo BOLOY,Rafael Raider LEONI

Journal Article

Prediction of Disc Cutter Life During Shield Tunneling with AI via the Incorporation of a Genetic Algorithm

Khalid Elbaz, Shui-Long Shen, Annan Zhou, Zhen-Yu Yin, Hai-Min Lyu

Journal Article