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1

Toland,, J., and T. Goswami,. "General Creep-Fatigue Life Prediction Models." Journal of the Mechanical Behavior of Materials 15, no. 1-2 (2004): 93–106. http://dx.doi.org/10.1515/jmbm.2004.15.1-2.93.

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2

Lv, Yi Gang, Jian Ren Zhang, and Kang Xu. "Prediction Models of Shrinkage and Creep for Concrete Columns." Advanced Materials Research 243-249 (May 2011): 1583–88. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.1583.

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In constant temperature and humidity environment, the properties of shrinkage and creep for a group of plain concrete and reinforced concrete columns were observed in long-term and experimental method. The curves of concrete shrinkage and creep effect with time were obtained. Checking coefficient and type coefficient of shrinkage and creep effect were put forward in order to predict models of shrinkage and creep. Using the least square method, functions of checking coefficient and type coefficient were acquired and the prediction models of shrinkage strain and creep coefficient of concrete wer
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3

Ramachandran, V., K. C. Wu, and K. N. Chiang. "Overview Study of Solder Joint Reliablity due to Creep Deformation." Journal of Mechanics 34, no. 5 (2018): 637–43. http://dx.doi.org/10.1017/jmech.2018.20.

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AbstractThe effective lifetimes of electronic packages are affected by various thermos-mechanical deformations. Creep is considered the most salient mechanism in the failure of solder joints. Many researchers have conducted reasonable studies to portray the behavior of creep deformation using numerical models and further extended their research scope to forecast the lifetimes of packages with the results obtained from creep models. Many studies have identified particular creep and lifetime models to be nominal based on experimental data.In this study, the characteristics of familiar creep mode
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4

Wypych, Agnieszka, Krzysztof Klempka, and Marek Jędrzejczak. "Creep of Concrete According to Creep Prediction Models and Own Research." MATEC Web of Conferences 196 (2018): 02024. http://dx.doi.org/10.1051/matecconf/201819602024.

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The paper presents the currently used procedures for calculating the deformation of concrete and creep coefficients. Laboratory research was conducted on the creep of concrete. Creep coefficients were calculated on the basis of experimentally obtained data and later compared to the ones acquired by using previously demonstrated procedures. In the case of the sample subjected to the influence of compressive stress and not exceeding the limit of linear creep, the models in Eurocode 2 and fib Model Code 2010 did not correspond to the experimentally obtained data.
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5

STRAUSS, Alfred, Roman WAN-WENDNER, Anja VIDOVIC, et al. "Gamma prediction models for long-term creep deformations of prestressed concrete bridges." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 6 (2017): 681–98. http://dx.doi.org/10.3846/13923730.2017.1335652.

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For long-span bridges as well as statically indeterminate frame structures it is essential to implement efficient and realistic prediction models for the long-term processes of concrete creep, shrinkage, and steel relaxation. In order to systematically study the main influential factors in bridge deflection measurements a probabilistic analysis can be per­formed. Due to the associated computational costs such investigations are limited. The predictions based on the highly scattered input parameters are associated with uncertainties. There is interest in alternative prediction models decou­pled
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6

He, Junjing, and Rolf Sandström. "Application of Fundamental Models for Creep Rupture Prediction of Sanicro 25 (23Cr25NiWCoCu)." Crystals 9, no. 12 (2019): 638. http://dx.doi.org/10.3390/cryst9120638.

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Creep rupture prediction is always a critical matter for materials serving at high temperatures and stresses for a long time. Empirical models are frequently used to describe creep rupture, but the parameters of the empirical models do not have any physical meanings, and the model cannot reveal the controlling mechanisms during creep rupture. Fundamental models have been proposed where no fitting parameters are involved. Both for ductile and brittle creep rupture, fundamental creep models have been used for the austenitic stainless steel Sanicro 25 (23Cr25NiWCoCu). For ductile creep rupture, t
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7

He, Xiao Cong. "Life Prediction of Stainless Steels under Creep-Fatigue." Key Engineering Materials 413-414 (June 2009): 725–32. http://dx.doi.org/10.4028/www.scientific.net/kem.413-414.725.

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The aim of this study is to investigate the creep-fatigue behavior of stainless steel materials. Based on the elevated-temperature tensile, creep and rupture test data, thermal creep-fatigue modelling was conducted to predict the failure life of stainless steels. In the low cycle thermal fatigue life model, Manson’s Universal Slopes equation was used as an empirical correlation which relates fatigue endurance to tensile properties. Fatigue test data were used in conjunction with different modes to establish the relationship between temperature and other parameters. Then creep models were creat
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8

Asaad, Micheal, and George Morcous. "Evaluating Prediction Models of Creep and Drying Shrinkage of Self-Consolidating Concrete Containing Supplementary Cementitious Materials/Fillers." Applied Sciences 11, no. 16 (2021): 7345. http://dx.doi.org/10.3390/app11167345.

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Supplementary cementitious materials (SCMs) and fillers play an important role in enhancing the mechanical properties and durability of concrete. SCMs and fillers are commonly used in self-consolidating concrete (SCC) mixtures to also enhance their rheological properties. However, these additives could have significant effects on the viscoelastic properties of concrete. Existing models for predicting creep and drying shrinkage of concrete do not consider the effect of SCM/filler on the predicted values. This study evaluates existing creep and drying shrinkage models, including AASHTO LRFD, ACI
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9

Goswami, Tarun. "Development of generic creep–fatigue life prediction models." Materials & Design 25, no. 4 (2004): 277–88. http://dx.doi.org/10.1016/j.matdes.2003.11.001.

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10

Zeng, Qing Xiang, and Da Jian Han. "Selection of Concrete Creep Analytical Models for Modern Prestressed Bridges." Applied Mechanics and Materials 90-93 (September 2011): 1023–26. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.1023.

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The modern prestressed concrete bridges have the characteristics of large-span, high concrete strength, reinforced volume prestress and linear shape complexity. The structure bearing capacity and durability are considerable impacted by concrete creep, such as stresses redistribution and deflections increase. Some of the prediction concrete creep models that are being widely used at present are briefly introduced in this paper. Based on the analysis of existing research achievement, for the aim of improving the calculation accuracy of creep effects in bridge structures, several main problems th
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11

Mei, Shengqi, Yuanfeng Wang, Ruofei Zou, Yunpeng Long, and Jiechao Zhang. "Creep of concrete-filled steel tube considering creep-recovery of the concrete core." Advances in Structural Engineering 23, no. 5 (2019): 997–1009. http://dx.doi.org/10.1177/1369433219886083.

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Concrete creep results in the strain increment of concrete-filled steel tube. In this article, a new method was established for creep prediction of concrete-filled steel tube considering the creep-recovery effect of the concrete core with creep model and separate creep-recovery model, named two-function method. Five creep models including the recent proposed B4 model and two separate creep-recovery models were used in the method. First, the creep models were compared with 197 test curves of creep of sealed concrete. The results show that the B4 model offers the highest prediction accuracy for
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12

Liu, Ding, Hai Pu, Yang Ju, et al. "A new non-linear viscoelastic-plastic seepage-creep constitutive model considering the influence of confining pressure." Thermal Science 23, Suppl. 3 (2019): 821–28. http://dx.doi.org/10.2298/tsci180621116l.

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In this paper, the non-linear viscoelastic-plastic creep models in 1-D and 3-D casesare established. The new non-linear viscoelastic-plastic seepage-creep constitutive models addressed, considering the influence of confining pressure. The proposed models provide the prediction of the creep deformation under the seepage.
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13

Lei, Guo, and Yang Zi Sheng. "Study on the Model of Creep and the Calculation of Stress Field for Concrete." Open Civil Engineering Journal 9, no. 1 (2015): 990–96. http://dx.doi.org/10.2174/1874149501509010990.

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The exact prediction of creep is of great significance for the simulation of the stress field of concrete creep. To overcome the limitation of the current prediction model of creep, pertinent models abroad are referred and adopted so that other factors can be controlled under standard state but only the creep varies to evaluate the feasibility of the prediction model with current characteristic of concrete materials and available test data. In the prediction of creep of high performance concrete, any influencing factor can be quantified, therefore, a large number of test data are not required.
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14

Halama, Radim, Jana Bartecká, and Petr Gál. "FE Prediction and Extrapolation of Multiaxial Ratcheting for R7T Steel." Key Engineering Materials 810 (July 2019): 76–81. http://dx.doi.org/10.4028/www.scientific.net/kem.810.76.

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Wear of materials in rail/wheel industry is closely related to the cyclic creep. This contribution presents main results of experimental testing on R7T wheel steel. The cyclic creep is investigated under non-proportional loading conditions simulating a line rolling contact case. McDowell extrapolation was successfully applied to the calculation of twist. Cyclic material model MAKOC and MAKOC with memory surface were used for cyclic creep prediction. The plasticity model is based on AbdelKarim-Ohno kinematic hardening and Calloch isotropic hardening rules. Second material model was extended wit
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15

Xiong, Xue Yu, Li Jun Wang, Rong Jun Xue, and Sen Zhang. "Creep Behavior of High-Performance Concrete." Advanced Materials Research 919-921 (April 2014): 1885–89. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.1885.

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Realistic prediction of concrete creep is of crucial importance for the safety, durability and long term serviceability of concrete structures. High performance concrete (HPC) contains combinations of various components, such as aggregate, cement, water-reducing agent and other ingredients which affect the properties of the HPC including creep. This paper reviews the accuracy of the conventional concrete (CC) creep prediction models, including B3,GL2000 and CEB-FIP(2010). Further, a new creep prediction model based on the comprehensive analysis is proposed. The improved model was calibrated th
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16

He, Xiao Cong. "Sensitivity Study on Parameters for Fatigue-Creep Modeling of Stainless Steel Materials." Advanced Materials Research 628 (December 2012): 217–20. http://dx.doi.org/10.4028/www.scientific.net/amr.628.217.

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In present paper, sensitivity study on parameters for fatigue-creep model of stainless steel materials has been carried out. An analytical model has been established to predict fatigue-creep life of AISI347 stainless steel. Manson’s Universal Slopes equation has been used as an empirical correlation which relates fatigue endurance to tensile properties. Different creep prediction models have been studied in order to correlate the results of shout-time elevated temperature tests with long-term service performance at more moderate temperatures. Comparison between the different creep prediction m
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17

Chen, Baochun, Zhichao Lai, Xiuying Lai, Amit H. Varma, and Xinmeng Yu. "Creep-Prediction Models for Concrete-Filled Steel Tube Arch Bridges." Journal of Bridge Engineering 22, no. 7 (2017): 04017027. http://dx.doi.org/10.1061/(asce)be.1943-5592.0001051.

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18

Wu, Dongquan, Hongyang Jing, Lianyong Xu, Lei Zhao, and Yongdian Han. "Prediction models of creep crack initiation for different specimen geometry." Mechanics of Advanced Materials and Structures 27, no. 19 (2018): 1639–52. http://dx.doi.org/10.1080/15376494.2018.1523510.

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19

Hagin, Paul N., and Mark D. Zoback. "Viscous deformation of unconsolidated reservoir sands—Part 2: Linear viscoelastic models." GEOPHYSICS 69, no. 3 (2004): 742–51. http://dx.doi.org/10.1190/1.1759460.

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Laboratory creep experiments show that dry unconsolidated reservoir sands follow a power law function of time (at constant stress), and cyclic loading tests (at quasi‐static frequencies of 10−6 to 10−2 Hz) show that the bulk modulus increases by a factor of two with increasing frequency while attenuation remains constant. In this paper, we attempt to model these observations using linear viscoelasticity theory by considering several simple phenomenological models. We investigated two classes of models: spring‐dashpot models, which are represented by exponential functions with a single relaxati
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20

Msolli, S., Olivier Dalverny, Joël Alexis, and Moussa Karama. "Experimental and Mechanical Characterizations of a Lead Free Solder Alloy for Electronic Devices." Advanced Materials Research 423 (December 2011): 210–17. http://dx.doi.org/10.4028/www.scientific.net/amr.423.210.

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Electronic power modules devices are paramount components in the aeronautical, automotive and military applications. The solder layers are the most critical parts of the module and are usually subjected in their whole life to complex loading conditions. To improve the design task, realistic thermoelastoviscoplastic and lifetime prediction models which can describe efficiently the deformation-damage of the electrical device must be chosen carefully. Some of the most common behavior models are based on the separation between creep and plasticity deformations such as power law, Garofalo, Darveaux
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21

Hu, Shi Xiang, Qiao Huang, and Shi Feng Lin. "A Revised the B3 Creep Prediction Model Based on Short-Time Tests." Advanced Materials Research 919-921 (April 2014): 529–32. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.529.

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The calculation of structure creep effect depends on the computational accuracy of concrete prediction model. Eight groups of test data were collected and used to evaluate six different prediction models. The differences between the calculated and the test data were analyzed. Based on the analysis, the method to improve the B3 prediction model was discussed, and the examples of revised B3 prediction model by the use of short-time tests were also presented. The results show that updating the prediction model based on short-time tests can improve the accuracy of B3 creep prediction model.
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22

Kytölä, Ulla, and Anssi Laaksonen. "Prediction of Restraint Moments in Precast, Prestressed Structures Made Continuous." Nordic Concrete Research 59, no. 1 (2018): 73–93. http://dx.doi.org/10.2478/ncr-2018-0016.

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Abstract This paper studies restraint moments developing in simple-span precast, prestressed beams made continuous. Methods of evaluating restraint moments produced by creep and differential shrinkage are presented. Shrinkage and creep properties of composite structures, beam and deck parts were tested and compared to values defined according to Eurocode models. Finally, the restraint moments were calculated with both material models for the two-span parking deck structure. The study confirmed the findings of previous studies: that the methods that are used overestimate the negative restraint
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23

Guo, Fei, Hong Gen Qin, Peng Fei Cao, Guan Guo Liu, and Yun Sheng Zhang. "Analysis on Creep Property and Model of Bridge Girder Concrete with Various Mix Proportions." Applied Mechanics and Materials 368-370 (August 2013): 1487–94. http://dx.doi.org/10.4028/www.scientific.net/amm.368-370.1487.

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Combined with the construction of Jinghang Canal Bridge of Jiangliu highway, shrinkage and creep property of the cast-in-situ high performance concrete of bridge girder was researched. The results showed early shrinkage and creep development of the high performance concrete was relatively rapid, and creep tended to be stable 120 days later. With the admixture increasing, shrinkage and creep of the concrete were reduced. Meanwhile, early creep rate deceased. Similar results applied to the reduction of sand rate and water-cement ratio. Based on creep prediction models both at home and abroad, hy
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24

Yang, Chunhao, Wuning Ma, Jianlin Zhong, and Zhendong Zhang. "Comparative Study of Machine Learning Approaches for Predicting Creep Behavior of Polyurethane Elastomer." Polymers 13, no. 11 (2021): 1768. http://dx.doi.org/10.3390/polym13111768.

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The long-term mechanical properties of viscoelastic polymers are among their most important aspects. In the present research, a machine learning approach was proposed for creep properties’ prediction of polyurethane elastomer considering the effect of creep time, creep temperature, creep stress and the hardness of the material. The approaches are based on multilayer perceptron network, random forest and support vector machine regression, respectively. While the genetic algorithm and k-fold cross-validation were used to tune the hyper-parameters. The results showed that the three models all pro
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25

Takatera, Masayuki, Ken Ishizawa, and KyoungOk Kim. "Prediction of creep behavior of laminated woven fabric with adhesive interlining under low stress in the bias direction." Textile Research Journal 87, no. 3 (2016): 285–95. http://dx.doi.org/10.1177/0040517516629144.

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The effect of adhesive interlining on the creep behavior of a woven fabric in the bias direction was investigated. Three-element viscoelastic models were used to approximate the creep behavior of a face fabric and adhesive interlining. The creep model of a laminated fabric comprised a six-element model in which two three-element models are connected in parallel with the three-element model. Creep tests were carried out using face fabrics, adhesive interlinings, and their laminated fabrics without and with bonding adhesive interlining by hanging samples in the 45° bias direction under their own
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26

Nicolas, L., P. Mongabure, L. Le Ber, J. Devos, S. Bhandari, and C. Messelier-Gouze. "Comparison of the Predictions Relying on Coupled/Uncoupled Damage-Viscoplasticity Models for Creep Test Analyses." Journal of Pressure Vessel Technology 123, no. 3 (2001): 298–304. http://dx.doi.org/10.1115/1.1372326.

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To enhance the assessment of reactor pressure vessel life under severe accident, a cooperative research program is conducted between CEA, EDF, and Framatome, parts of which are supported by the European Commission. Within the framework of this program, a model based on Lemaitre and Chaboche with predictive capability in the field of viscoplastic flow, material damage, and failure has been generalized and implemented in CASTEM 2000 finite element code. In order to validate the model in mechanical situations featuring the same basic characteristics as the severe accident scenarios, analytical ex
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27

Taha, M. M. Reda, A. Noureldin, N. El-Sheimy, and N. G. Shrive. "Artificial neural networks for predicting creep with an example application to structural masonry." Canadian Journal of Civil Engineering 30, no. 3 (2003): 523–32. http://dx.doi.org/10.1139/l03-003.

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Numerous creep models with limited accuracy have been developed within the last few decades to predict creep of concrete and masonry structures. The stochastic nature of creep deformation and its reliance on a large number of interdependent parameters (e.g., the brick and mortar types, the relative humidity, and the history and level of applied loading) make developing a single, general, and yet accurate mathematical model almost impossible. Artificial neural networks (ANNs) have been recently introduced as an efficient artificial intelligence modeling technique for applications incorporating
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28

Zgheib, E., and W. Raphael. "Study of the Admixtures Effect on Concrete Creep Using Bayesian Linear Regression." Archives of Civil Engineering 65, no. 3 (2019): 127–40. http://dx.doi.org/10.2478/ace-2019-0039.

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AbstractAdmixtures are commonly used nowadays in the mix composition of concrete. These additions affect concrete properties and performance especially creep deformations. This paper shows the effect of admixtures on creep of concrete. In fact, creep deformations have prejudicial consequences on concrete behaviour; an incorrect or inaccurate prediction leads to undesirable consequences in structures. Therefore, an accurate estimation of these deformations is mandatory. Moreover, design codes do not consider admixtures’ effect while predicting creep deformations, thus it is necessary to develop
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29

Kan, Kevin, Ondrej Muránsky, Philip J. Bendeich, Richard N. Wright, Jamie J. Kruzic, and Warwick Payten. "Assessment of creep damage models in the prediction of high-temperature creep behaviour of Alloy 617." International Journal of Pressure Vessels and Piping 177 (November 2019): 103974. http://dx.doi.org/10.1016/j.ijpvp.2019.103974.

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30

Wu, Dongquan, Hongyang Jing, Lianyong Xu, Lei Zhao, and Yongdian Han. "Enhanced models of creep crack initiation prediction coupled the stress-regime creep properties and constraint effect." European Journal of Mechanics - A/Solids 74 (March 2019): 145–59. http://dx.doi.org/10.1016/j.euromechsol.2018.11.010.

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31

Goel, Rajeev, Ram Kumar, and D. K. Paul. "Comparative Study of Various Creep and Shrinkage Prediction Models for Concrete." Journal of Materials in Civil Engineering 19, no. 3 (2007): 249–60. http://dx.doi.org/10.1061/(asce)0899-1561(2007)19:3(249).

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32

Usibe, Brian E. "Prediction of Creep Deformation in Concrete Using Some Design Code Models." IOSR Journal of Mechanical and Civil Engineering 4, no. 3 (2012): 49–53. http://dx.doi.org/10.9790/1684-0434953.

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33

Yang, Mingfang, Song Jin, and Jinxin Gong. "Concrete Creep Analysis Method Based on a Long-Term Test of Prestressed Concrete Beam." Advances in Civil Engineering 2020 (February 24, 2020): 1–13. http://dx.doi.org/10.1155/2020/3825403.

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Concrete creep plays a significant role in the long-term performance of the prestressed concrete structure. However, most of the existing prediction models cannot accurately reflect the in-site concrete creep in a bridge construction environment. To improve the prediction accuracy of creep effects in concrete structures, an innovative creep analysis method is developed in this study. Parameters in the creep model in fib MC 2010 have been calibrated with respect to the long-term loading test results of the prestressed concrete beam. The measured strains of concrete and the midspan deflections o
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34

Leen, Sean B., Aditya A. Deshpande, and Thomas H. Hyde. "Finite Element Modelling and Experimental Testing of Thermomechanical Behaviour and Failure of Titanium Superplastic Forming Dies." Key Engineering Materials 433 (March 2010): 247–56. http://dx.doi.org/10.4028/www.scientific.net/kem.433.247.

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This paper describes high temperature cyclic and creep relaxation testing and modelling of a high nickel-chromium material (XN40F) for application to life prediction of superplastic forming (SPF) tools. An experimental test programme to (i) characterise the high temperature cyclic elastic-plastic-creep behaviour of the material over a range of temperatures between 20oC and 900oC, including cyclic controlled strain-range tests at different strain-rates and creep relaxation tests, and (ii) identify the material constants relevant to thermo-mechanical fatigue (TMF) life prediction, is described.
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35

Guo, Jin Quan, Wei Zhang, and Xiao Hong Sun. "Stress Relaxation Continuum Damage Constitutive Equations for Relaxation Performance Prediction." Advanced Materials Research 455-456 (January 2012): 1434–37. http://dx.doi.org/10.4028/www.scientific.net/amr.455-456.1434.

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Stress relaxation constitutive equations based on Continuum Damage Mechanics, Kachanov-Robatnov creep model, and stress relaxation equation has been developed by analyzing stress relaxation damage mechanisms and considering the relationship that stress relaxation is creep at various stresses. And, the constitutive differential equations were integrated to predict stress relaxation performance by using numerical analysis technique. In order to validate the approach, the predicted results are compared to the experimental results of uni-axial isothermal stress relaxation tests conducted on 1Cr10N
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36

Griffin, D. S., A. K. Dhalla, and W. S. Woodward. "Validation of Inelastic Analysis by Full-Scale Component Testing." Journal of Pressure Vessel Technology 109, no. 1 (1987): 42–49. http://dx.doi.org/10.1115/1.3264854.

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This paper compares theoretical and experimental results for full-scale, prototypical components tested at elevated-temperatures to provide validation for inelastic analysis methods, material models, and design limits. Results are discussed for piping elbow plastic and creep buckling, creep ratcheting, and creep relaxation; nozzle creep ratcheting and weld cracking; and thermal striping fatigue. Comparisons between theory and test confirm the adequacy of components to meet design requirements, but identify specific areas where life prediction methods could be made more precise.
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37

Baraldi, Daniele, Stefan Holmström, Karl-Fredrik Nilsson, Matthias Bruchhausen, and Igor Simonovski. "316L(N) Creep Modeling with Phenomenological Approach and Artificial Intelligence Based Methods." Metals 11, no. 5 (2021): 698. http://dx.doi.org/10.3390/met11050698.

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A model that describes creep behavior is essential in the design or life assessment of components and systems that operate at high temperatures. Using the RCC-MRx data and the LCSP (logistic creep strain prediction) model, processed design data were generated over the whole creep regime of 316L(N) steel—i.e., primary, secondary, and tertiary creep. The processed design data were used to develop three models with different approaches for the creep rate: a phenomenological approach; an artificial neural network; and an artificial intelligence method based on symbolic regression and genetic progr
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38

Salifu, Smith, Dawood Desai, and Schalk Kok. "Prediction and Comparison of Creep Behavior of X20 Steam Plant Piping Network with Different Phenomenological Creep Models." Journal of Materials Engineering and Performance 29, no. 11 (2020): 7382–95. http://dx.doi.org/10.1007/s11665-020-05235-5.

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39

Wang, De Xian, Dong Mei Ji, and Jian Xing Ren. "Research on Creep-Fatigue Life Prediction for P92 Steel under Stress-Controlled State." Advanced Materials Research 860-863 (December 2013): 972–77. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.972.

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Taking the P92 steel as the object,Creep-Fatigue (CF) tests of P92 steel at 873K under stress-controlled were carried out with GWT2504 equipment to investigate the CF life prediction. The life prediction model based on Applied Mechanical Work Density (AMWD) was developed in this study,and introduce the effective coefficient ƞ to modify the former. To verify the prediction capability of the AMWD-based and the modified model, comparisons of the models predicted lives with the experimental data of CF tests on P92 steel at 873K were made, it is found out that the AMWD-based model predictions for C
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40

Zhang, Heng Liang, Dan Mei Xie, Chu Nie, and Yang Heng Xiong. "Online Fatigue and Creep Monitoring System for 2-D Axis-Symmetry Components in Power Plants." Applied Mechanics and Materials 130-134 (October 2011): 3866–69. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3866.

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This paper presents a system developed for online monitoring of various aging effects, such as fatigue, creep and fatigue–creep interaction. An appropriate life prediction methodology has been used to address the various aspects of creep, fatigue and creep fatigue interaction, creep and fatigue crack growth. The system converts the plant transients to temperature and stress responses using the analytical models modified by FEM. The fatigue usage factor is computed using the rainflow cycle counting algorithm. The creep damage index is evaluated from the computed temperature and stress histories
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41

Pramanick, A., and M. Sain. "Nonlinear Viscoelastic Creep Characterization of HDPE-Rice Husk Composites." Polymers and Polymer Composites 13, no. 6 (2005): 581–98. http://dx.doi.org/10.1177/096739110501300604.

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Rice husk based plastic composites are increasingly being used as deck-boards, railings and other load-bearing materials. Since this material typically contains 40% plastic, and plastics creep with respect to time when they carry load, creep is an important issue here. So the viscoelastic characterization of this material and the prediction of creep as a function time is of paramount importance for the material's long-term commercial success. Creep is a time related deformation but it can also be affected by the stress level and environmental conditions, such as time and temperature. In order
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42

Adeleye, Olurotimi, Augustine Eloka, and Gbeminiyi Sobamowo. "Prediction of Creep Strain Relaxations in Biomaterials Using Differential Transformation Method." Journal of Biomimetics, Biomaterials and Biomedical Engineering 38 (August 2018): 11–22. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.38.11.

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The outcome of most implant failures is tragic. There is an increasing need to reduce the rate of implant failure. While there has been a lot of progress regarding this problem, a lot still needs to be done. The behaviour of biomaterials had been represented using linear models. Linear models failed to capture some certain behaviours in materials due to the nonlinear nature of biomaterials. More work has been done in an attempt to represent the deformation of these biomaterials using non-linear models, which realised success to a degree. However, providing accurate solutions to these models be
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43

Ji, Dong Mei. "Research on Application of Supported Vector Machine to Creep-Fatigue Lifetime Prediction of P91 Steel." Advanced Materials Research 616-618 (December 2012): 1787–96. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1787.

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Creep-fatigue tests were carried out to study creep-fatigue property of P91 steel in many references. There are two kinds of loading control methods. One is controlled by stress, and the other is controlled by strain. In this study the creep-fatigue test data loading controlled by stress are summarized. Based on these data Supported Vector Machine(SVM) method is used to build up the models to predict the creep-fatigue lifetime of P91 steel. The results show SVM method can be used to predict the creep-fatigue life of P91 steel, and the value of insensitive factor is very important. When the val
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44

CHEN, Xuedong. "Comparison among three fatigue-creep interaction life prediction models and their applications." Chinese Journal of Mechanical Engineering 43, no. 01 (2007): 62. http://dx.doi.org/10.3901/jme.2007.01.062.

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45

Semenov, Artem S., and Sviatoslav Lobanov. "Comparison of Rate-Dependent Ferroelectroelastic Phenomenological Models for Prediction of PZT Creep." Applied Mechanics and Materials 725-726 (January 2015): 961–66. http://dx.doi.org/10.4028/www.scientific.net/amm.725-726.961.

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The time-dependent effects of piezoceramic material under the constant electric field are analyzed. The new rate-dependent ferroelectroelastic phenomenological model is proposed and compared with known models and experimental data.
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46

Howells, R. W., R. J. Lark, and B. I. G. Barr. "A sensitivity study of parameters used in shrinkage and creep prediction models." Magazine of Concrete Research 57, no. 10 (2005): 589–602. http://dx.doi.org/10.1680/macr.2005.57.10.589.

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47

Zhang, Guobin, Huang Yuan, and Fuqing Li. "Analysis of creep–fatigue life prediction models for nickel-based super alloys." Computational Materials Science 57 (May 2012): 80–88. http://dx.doi.org/10.1016/j.commatsci.2011.07.034.

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48

Shlyannikov, V. N. "Creep–fatigue crack growth rate prediction based on fracture damage zone models." Engineering Fracture Mechanics 214 (June 2019): 449–63. http://dx.doi.org/10.1016/j.engfracmech.2019.04.017.

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49

Rouse, J. P., W. Sun, T. H. Hyde, and A. Morris. "Comparative assessment of several creep damage models for use in life prediction." International Journal of Pressure Vessels and Piping 108-109 (August 2013): 81–87. http://dx.doi.org/10.1016/j.ijpvp.2013.04.012.

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50

Dong, Yi, Jianmin Liu, Yanbin Liu, Huaying Li, Xiaoming Zhang, and Xuesong Hu. "Creep–Fatigue Experiment and Life Prediction Study of Piston 2A80 Aluminum Alloy." Materials 14, no. 6 (2021): 1403. http://dx.doi.org/10.3390/ma14061403.

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In order to improve the reliability and service life of vehicle and diesel engine, the fatigue life prediction of the piston in a heavy diesel engine was studied by finite element analysis of piston, experiment data of aluminum alloy, fatigue life model based on energy dissipation criteria, and machine learning algorithm. First, the finite element method was used to calculate and analyze the temperature field, thermal stress field, and thermal–mechanical coupling stress field of the piston, and determine the area of heavy thermal and mechanical load that will affect the fatigue life of the pis
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