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Journal articles on the topic 'Stress modelling'

To see the other types of publications on this topic, follow the link: Stress modelling.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Agakhanov, E. K., M. K. Agakhanov, and R. E. Agakhanova. "Stress modelling in natural foundation." IOP Conference Series: Materials Science and Engineering 1001 (December 31, 2020): 012072. http://dx.doi.org/10.1088/1757-899x/1001/1/012072.

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2

Grigoroudis, K., and D. J. Stephenson. "Modelling low stress abrasive wear." Wear 213, no. 1-2 (December 1997): 103–11. http://dx.doi.org/10.1016/s0043-1648(97)00170-1.

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3

Yushchenko, K. A., E. A. Velikoivanenko, N. O. Chervyakov, G. F. Rozynka, and N. I. Pivtorak. "Finite-element modelling of stress-strain state in weldability tests (PVR-TEST)." Paton Welding Journal 2016, no. 12 (December 28, 2016): 9–12. http://dx.doi.org/10.15407/tpwj2016.12.02.

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4

Dear, Keith. "Modelling Productivity Loss from Heat Stress." Atmosphere 9, no. 7 (July 22, 2018): 286. http://dx.doi.org/10.3390/atmos9070286.

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Workers exposed to high ambient temperatures, either indoors or out, work slower. The few studies that have measured this loss of productivity show a degree of consistency across widely varying settings. I develop a class of 5-parameter probability models that express productivity as a function of environmental heat and show how the method of fitting can be adapted according to the completeness of the data available. As well as modelling the mean output, it is important to also consider variation between workers, and the model presented here achieves this. The method is illustrated using three previously published datasets from different industries and work environments.

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5

Mavlyutov, R. R., L. Н. Gorchakov, Sh Sh Galyaliev, N. M. Tuykin, A. G. Khakimov, and I. M. Tsirelman. "Modelling stress state in reaction columns." Proceedings of the Mavlyutov Institute of Mechanics 3 (2003): 72–81. http://dx.doi.org/10.21662/uim2003.1.005.

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The operation of chemical reactors, particularly those for producing benzene, is associated with the generation of a large amount of heat. Inaccurately chosen thermal regimes of performance in the reaction columns at large temperature gradients can be responsible for the occurrence of high thermal stresses that decrease the endurance of equipment elements. Therefore, it is quite topical to reveal, using the mathematical simulation approach, both positive and negative effects in relation to stress deformed state of equipment elements under different regimes of heat removal from the outside surface of the reaction columns.

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6

Tatsuoka, Fumio, Mohammed S. A. Siddiquee, Choon-Sik Park, Makoto Sakamoto, and Fumihiro Abe. "Modelling Stress-Strain Relations of Sand." Soils and Foundations 33, no. 2 (June 1993): 60–81. http://dx.doi.org/10.3208/sandf1972.33.2_60.

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7

Hariharan, Krishnaswamy, Jayant Jain, and Myoung Gyu Lee. "Modelling transient behavior during stress relaxation." Journal of Physics: Conference Series 1063 (July 2018): 012016. http://dx.doi.org/10.1088/1742-6596/1063/1/012016.

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8

Török, Bibiana, Eszter Sipos, Nela Pivac, and Dóra Zelena. "Modelling posttraumatic stress disorders in animals." Progress in Neuro-Psychopharmacology and Biological Psychiatry 90 (March 2019): 117–33. http://dx.doi.org/10.1016/j.pnpbp.2018.11.013.

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9

Deák, P., A. Gali, G. Sczigel, and H. Ehrhardt. "Modelling of stress-induced diamond nucleation." Diamond and Related Materials 4, no. 5-6 (May 1995): 706–9. http://dx.doi.org/10.1016/0925-9635(94)05223-9.

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10

Ståhle, Per, and Eskil Hansen. "Phase field modelling of stress corrosion." Engineering Failure Analysis 47 (January 2015): 241–51. http://dx.doi.org/10.1016/j.engfailanal.2014.07.025.

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11

Li, G., Y. Mizuta, T. Ishida, H. Li, S. Nakama, and T. Sato. "Stress field determination from local stress measurements by numerical modelling." International Journal of Rock Mechanics and Mining Sciences 46, no. 1 (January 2009): 138–47. http://dx.doi.org/10.1016/j.ijrmms.2008.07.009.

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12

Rickerby, D. S., A. M. Jones, and B. A. Bellamy. "Internal stress in titanium nitride coatings: Modelling of complex stress systems." Surface and Coatings Technology 36, no. 3-4 (December 1988): 661–74. http://dx.doi.org/10.1016/0257-8972(88)90007-2.

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13

Marsili-Libelli, S. "MATHEMATICAL MODELLING OF PLANT GROWTH AND STRESS." Acta Horticulturae, no. 171 (July 1985): 361–70. http://dx.doi.org/10.17660/actahortic.1985.171.33.

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14

Yuan, Weike, Yanbin Zheng, and Gangfeng Wang. "Modelling tangential contact problem with surface stress." European Journal of Mechanics - A/Solids 91 (January 2022): 104381. http://dx.doi.org/10.1016/j.euromechsol.2021.104381.

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15

Eden, O. R., A. J. C. Lee, and R. M. Hooper. "Stress relaxation modelling of polymethylmethacrylate bone cement." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 216, no. 3 (March 1, 2002): 195–99. http://dx.doi.org/10.1243/0954411021536405.

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This paper describes tests that were carried out to model the stress relaxation behaviour of polymethylmethacrylate (PMMA) bone cement. Stress relaxation of bone cement is believed to be a significant factor in the mechanism of load transfer in the femoral stem of a polished, collarless taper-fit replacement hip joints. It is therefore important that this condition and its implications are understood. Stress relaxation was carried out on PMMA samples of varying age in four-point bending configuration. It was shown that the samples stiffened with age and that the amount of stress relaxation reduced as the samples aged. The experimental results of the stress relaxation were accurately modelled on the double exponential of the Maxwell model so that long-term predictions of the stress condition could be made from short-term mechanical tests.

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16

Francis, J. A. "Measurement, modelling and mitigation of residual stress." Materials Science and Technology 32, no. 14 (September 21, 2016): 1409–10. http://dx.doi.org/10.1080/02670836.2016.1232476.

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17

Hestholm, S. "Composite memory variable velocity-stress viscoelastic modelling." Geophysical Journal International 148, no. 1 (January 1, 2002): 153–62. http://dx.doi.org/10.1046/j.1365-246x.2002.01559.x.

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18

Jiang, Q., D. S. Zhao, and M. Zhao. "Modelling the surface stress of alkali halides." Philosophical Magazine Letters 84, no. 1 (January 2004): 63–68. http://dx.doi.org/10.1080/09500830310001628220.

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19

Birch, Colin J., David Thornby, Steve Adkins, Bruno Andrieu, and Jim Hanan. "Architectural modelling of maize under water stress." Australian Journal of Experimental Agriculture 48, no. 3 (2008): 335. http://dx.doi.org/10.1071/ea06105.

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Two field experiments using maize (Pioneer 31H50) and three watering regimes [(i) irrigated for the whole crop cycle, until anthesis, (ii) not at all (experiment 1) and (iii) fully irrigated and rain grown for the whole crop cycle (experiment 2)] were conducted at Gatton, Australia, during the 2003–04 season. Data on crop ontogeny, leaf, sheath and internode lengths and leaf width, and senescence were collected at 1- to 3-day intervals. A glasshouse experiment during 2003 quantified the responses of leaf shape and leaf presentation to various levels of water stress. Data from experiment 1 were used to modify and parameterise an architectural model of maize (ADEL-Maize) to incorporate the impact of water stress on maize canopy characteristics. The modified model produced accurate fitted values for experiment 1 for final leaf area and plant height, but values during development for leaf area were lower than observed data. Crop duration was reasonably well fitted and differences between the fully irrigated and rain-grown crops were accurately predicted. Final representations of maize crop canopies were realistic. Possible explanations for low values of leaf area are provided. The model requires further development using data from the glasshouse study and before being validated using data from experiment 2 and other independent data. It will then be used to extend functionality in architectural models of maize. With further research and development, the model should be particularly useful in examining the response of maize production to water stress including improved prediction of total biomass and grain yield. This will facilitate improved simulation of plant growth and development processes allowing investigation of genotype by environment interactions under conditions of suboptimal water supply.

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20

Cha, Ji Hwan, and Maxim Finkelstein. "Environmental stress screening modelling, analysis and optimization." Reliability Engineering & System Safety 139 (July 2015): 149–55. http://dx.doi.org/10.1016/j.ress.2015.03.003.

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21

Leschziner, M. A., P. Batten, and T. J. Craft. "Reynolds-stress modelling of transonic afterbody flows." Aeronautical Journal 105, no. 1048 (June 2001): 297–306. http://dx.doi.org/10.1017/s0001924000012173.

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AbstractSeveral afterbody flows, involving shock-boundary-layer interaction, are used to evaluate recent developments in a realizable low-Reynolds-number, second-moment closure of turbulence. The model considered is a compressibility-adapted variant of the recent incompressible-flow form of Craft and Launder. This includes a tensorially cubic model for the influential pressure-strain process, ϕij, which satisfies the two-component-turbulence limit at the wall, is directly applicable to low-Reynolds-number flow regions and does not rely on or use surface-topography parameters, such as wall-normal distance or direction. Improved predictions for afterbody flows are demonstrated, relative to existing low-Reynolds-number two-equation models and the most elaborate form of Reynolds-stress closure incorporating a linear approximation for the pressure-strain process.

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22

Guild, F. J., C. Vlattas, and C. Galiotis. "Modelling of stress transfer in fibre composites." Composites Science and Technology 50, no. 3 (January 1994): 319–32. http://dx.doi.org/10.1016/0266-3538(94)90020-5.

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23

Briscoe, A., and A. New. "Polymerisation stress modelling in acrylic bone cement." Journal of Biomechanics 43, no. 5 (March 2010): 978–83. http://dx.doi.org/10.1016/j.jbiomech.2009.10.043.

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24

Marketz, F., and F. D. Fischer. "Micromechanical modelling of stress-assisted martensitic transformation." Modelling and Simulation in Materials Science and Engineering 2, no. 5 (September 1, 1994): 1017–46. http://dx.doi.org/10.1088/0965-0393/2/5/006.

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25

Howell, P. D., H. Ockendon, and J. R. Ockendon. "Mathematical modelling of elastoplasticity at high stress." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, no. 2148 (September 5, 2012): 3842–63. http://dx.doi.org/10.1098/rspa.2012.0269.

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This study describes a simple mathematical model for one-dimensional elastoplastic wave propagation in a metal in the regime where the applied stress greatly exceeds the yield stress. Attention is focused on the increasing ductility that occurs in the over-driven limit when the plastic wave speed approaches the elastic wave speed. Our model predicts that a plastic compression wave is unable to travel faster than the elastic wave speed, and instead splits into a compressive elastoplastic shock followed by a plastic expansion wave.

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26

Arayro, Jack, Guy Tréglia, and Fabienne Ribeiro. "Atomistic modelling of residual stress at UO2surfaces." Journal of Physics: Condensed Matter 28, no. 1 (December 9, 2015): 015006. http://dx.doi.org/10.1088/0953-8984/28/1/015006.

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27

Sołowski, W. T., and S. W. Sloan. "Equivalent stress approach in modelling unsaturated soils." International Journal for Numerical and Analytical Methods in Geomechanics 36, no. 14 (July 26, 2011): 1667–81. http://dx.doi.org/10.1002/nag.1077.

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28

Chen, Wang, and Fu Song. "Reynolds-stress modelling of turbulent rotating flows." Acta Mechanica Sinica 13, no. 4 (November 1997): 323–30. http://dx.doi.org/10.1007/bf02487191.

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29

Koehn, D., M. Ebner, F. Renard, R. Toussaint, and C. W. Passchier. "Modelling of stylolite geometries and stress scaling." Earth and Planetary Science Letters 341-344 (August 2012): 104–13. http://dx.doi.org/10.1016/j.epsl.2012.04.046.

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30

Eyshi Rezaei, Ehsan, Heidi Webber, Thomas Gaiser, Jesse Naab, and Frank Ewert. "Heat stress in cereals: Mechanisms and modelling." European Journal of Agronomy 64 (March 2015): 98–113. http://dx.doi.org/10.1016/j.eja.2014.10.003.

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31

Xie, M., and K. Shen. "Some new aspects of stress-strength modelling." Reliability Engineering & System Safety 33, no. 1 (January 1991): 131–40. http://dx.doi.org/10.1016/0951-8320(91)90029-7.

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32

Szewczyk, R. "Stress-Induced Anisotropy and Stress Dependence of Saturation Magnetostriction in the Jiles-Atherton-Sablik Model of the Magnetoelastic Villari Effect." Archives of Metallurgy and Materials 61, no. 2 (June 1, 2016): 607–12. http://dx.doi.org/10.1515/amm-2016-0103.

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Abstract The paper presents the results of the magnetoelastic Villari effect modelling in high-permeability Mn0.51Zn0.44Fe2.05O4 ferrite. Modelling was performed on the basis of measurements of magnetoelastic characteristics of frame-shaped samples. For the modelling, the corrected Jiles-Atherton-Sablik model was used. On the base of modelling results, the stress dependence of parameter k and stress-induced anisotropy were estimated. As a result the changes of saturation magnetostriction of Mn0.51Zn0.44Fe2.05O4 ferrite subjected to stresses were calculated. Such changes were previously observed experimentally. However, the phenomenon of stress-induced sign change of saturation magnetostriction was never previously explained quantitatively

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33

WANG, XISHI, TIANYING WANG, FUCHUAN JIANG, and YIXIANG DUAN. "A TWO-DIMENSIONAL MODELLING FOR HUMAN HIP STRESS ANALYSIS." Biomedical Engineering: Applications, Basis and Communications 16, no. 01 (February 25, 2004): 32–36. http://dx.doi.org/10.4015/s1016237204000062.

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This paper, based on the elasticity theory, a two dimensional modelling for the hip stress analysis in the sagittal plane is presented. Though the stress, in the normal human hip, is distributed over the entire crossection of the femur head, the main activities of the human being are limited in the sagittal plane. Moreover, a 2-D modelling for the stress analysis is much simpler and easier than 3-D one; especially it can be combined with the clinical standard anterior posterior rentgenographs. These predicate that it is useful and necessary to develop a 2-D modelling for the hip stress analysis. The validation of current modelling is verified by examining an example. In other words, the present modelling can be readily applied in clinical practice to estimate the peak stress in the most frequent body positions of everyday activities.

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34

Prathap, G., G. Subramanian, and C. Ramesh Babu. "Stress oscillations in plane stress modelling of flexure—a field-consistency interpretation." International Journal for Numerical Methods in Engineering 24, no. 4 (April 1987): 711–24. http://dx.doi.org/10.1002/nme.1620240405.

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35

WANG, XISHI, FUCHUAN JIANG, JIAN MA, and XINPING HOU. "THE PEAK STRESS, WEIGH BEARED AREA AND STRESS DISTRIBUTIONS AT HUMAN HIP JOINT." Biomedical Engineering: Applications, Basis and Communications 18, no. 01 (February 25, 2006): 19–23. http://dx.doi.org/10.4015/s1016237206000051.

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The peak stress, the weight beared area and the stress distributions of the articular contact at the human hip joint are the most important factors, which determine the location of the degenerative foci that later result in degenerative damage and in the development of osteoarthritis. In this paper, firstly a generalization analytical modelling for evaluating the peak stress, the weight beared area and the stress distributions of the articular contact at the human hip joint is developed; secondly, as an example, the numerical results for evaluating the peak stress, the weight beared area and the stress distributions of the articular contact at the human hip joint are presented. The results show that the numerical values from the present modelling are good agreement with the literatures.

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36

WANG, XISHI, TIANYING WANG, FUCHUAN JIANG, and YIXIANG DUAN. "THE HUMAN HIP STRESS ANALYSIS: A BALL-SOCKET ELASTIC CONTACT MODELLING." Biomedical Engineering: Applications, Basis and Communications 16, no. 05 (October 25, 2004): 233–37. http://dx.doi.org/10.4015/s1016237204000311.

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The peak stress, the weight bearing area and the stress distribution of the articular contact at the human hip joint is the most important factors, which determine the location of the degenerative foci that later result in degenerative damage and in the development of osteoarthritis. In the paper, a ball-socket articular elastic contact modelling of the human hip joint is successfully established. This modelling can be used to predict the peak stress, the weight bearing area and the stress distributions of the articular contact at the human hip joint. In order to verify the validation of current modelling, an example is examined. The results show that the predictions from the current modelling are basically agreement with those reported in literatures. This shows the validity of the current modelling.

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37

TAŞ, İbrahim. "Association between depression, anxiety, stress, social support, resilience and internet addiction: a structural equation modelling." Malaysian Online Journal of Educational Technology 7, no. 3 (July 1, 2019): 1–10. http://dx.doi.org/10.17220/mojet.2019.03.001.

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38

Teng, Xue Feng, Duo Qi Shi, and Xiao Guang Yang. "Modelling of Hysteresis Behavior of Ceramic Matrix Composites." Key Engineering Materials 795 (March 2019): 180–87. http://dx.doi.org/10.4028/www.scientific.net/kem.795.180.

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Under cyclic loading, the fiber-reinforced ceramic matrix composites exhibits hysteresis behavior due to the friction stress. When the matrix/fiber debonding occurs, the shear stress is transferred by friction stress on the debond surface. The friction stress is derived from the equilibrium equation of debond fiber in the unit cell. The result indicates that friction shear stress of a single debond fiber can be described by bilinear law due to the static friction and sliding friction. The nonlinear characteristic of friction stress at macro scale attributes to the distribution of the fiber pullout length. The hysteresis loops arise due to the friction stress and the shape is dominated by the evolution of friction during loading/unloading process. The model decoupled the shear stress into two independent terms: the first term represents the shear stress on well bond interface and the second term represents friction shear stress on debond interface. The method developed in this paper is employed to study the hysteresis behavior of C/SiC composite subjected to arbitrary cyclic load. The hysteresis behavior of C/SiC composite is predicted and compared with experimental data.

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39

Šuba, Oldřich, Libuše Sýkorová, Martina Malachová, and David Sámek. "Modelling of Transient Thermal Stress in Layered Walls." Manufacturing Technology 10, no. 1 (December 1, 2010): 16–19. http://dx.doi.org/10.21062/ujep/x.2010/a/1213-2489/mt/10/1/16.

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40

Beck, Martin, and Holger Class. "Modelling fault reactivation with characteristic stress-drop terms." Advances in Geosciences 49 (July 5, 2019): 1–7. http://dx.doi.org/10.5194/adgeo-49-1-2019.

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Abstract. Predicting shear failure that leads to the reactivation of faults during the injection of fluids in the subsurface is difficult since it inherently involves an enormous complexity of flow processes interacting with geomechanics. However, understanding and predicting induced seismicity is of great importance. Various approaches to modelling shear failure have been suggested recently. They are all dependent on the prediction of the pressure and stress field, which requires the solution of partial differential equations for flow and for geomechanics. Given a pressure and corresponding mechanical responses, shear slip can be detected using a failure criterion. We propose using characteristic values for stress drops occurring in a failure event as sinks in the geomechanical equation. This approach is discussed in this article and illustrated with an example.

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41

Senchenkov, І. K., М. V. Iurzhenko, О. P. Chervinkо, О. P. Masiuchok, and M. G. Korab. "Numerical modelling of stress-strain state of elements." Avtomatičeskaâ svarka (Kiev) 2021, no. 8 (August 28, 2021): 29–34. http://dx.doi.org/10.37434/as2021.08.06.

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42

Azam, Shah, and Piyush Rai. "Modelling of Dragline Bucket for Determination of Stress." Modelling, Measurement and Control C 78, no. 3 (September 30, 2017): 392–402. http://dx.doi.org/10.18280/mmc_c.780310.

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43

Xia, Y., J. Tian, P. d’Angelo, and P. Reinartz. "TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W7 (September 16, 2019): 205–10. http://dx.doi.org/10.5194/isprs-annals-iv-2-w7-205-2019.

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<p><strong>Abstract.</strong> Precise and detailed reconstruction of 3D plant models is an important goal in computer vision. Based on these models, important parameters can be extracted, which would be very useful for monitoring the tree health situation. This paper has firstly constructed the 3D plant model based on MC-CNN using close-range photogrammetric imagery, and then applied a leaf index based segmentation to highlight the leaves region. In the end, the 3D model of each leaf can be represented and some geometric parameters of the leaf are designed and analyzed to predict the drought status. The experiments on real close-range stereo imagery justified the performance of the proposed approach to differentiate drought and healthy leaves.</p>

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44

Trapić, Ivan, Robert Pezer, and Jurica Sorić. "Atomistic Modelling of 2D Stress Distribution Around Discontinuities." Transactions of FAMENA 42, no. 3 (October 19, 2018): 47–60. http://dx.doi.org/10.21278/tof.42303.

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45

Fergani, O., F. Berto, T. Welo, and S. Y. Liang. "Analytical modelling of residual stress in additive manufacturing." Fatigue & Fracture of Engineering Materials & Structures 40, no. 6 (December 22, 2016): 971–78. http://dx.doi.org/10.1111/ffe.12560.

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46

Negredo, A. M., E. Carminati, S. Barba, and R. Sabadini. "Dynamic modelling of stress accumulation in central Italy." Geophysical Research Letters 26, no. 13 (July 1, 1999): 1945–48. http://dx.doi.org/10.1029/1999gl900408.

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47

Nuth, Mathieu, and Lyesse Laloui. "Unified Stress Framework for Modelling Unsaturated Subsoil Behaviour." Road Materials and Pavement Design 8, no. 4 (January 2007): 767–81. http://dx.doi.org/10.1080/14680629.2007.9690098.

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48

Bartók, A., L. Daniel, and A. Razek. "Micro–macro modelling of stress-dependent anisotropic magnetoresistance." Journal of Physics D: Applied Physics 44, no. 13 (March 16, 2011): 135001. http://dx.doi.org/10.1088/0022-3727/44/13/135001.

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49

Ghibaudo, Gérard. "Modelling of silicon oxidation based on stress relaxation." Philosophical Magazine B 55, no. 2 (January 1987): 147–58. http://dx.doi.org/10.1080/13642818708211201.

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50

Kostin, Ilya, Martine Marion, Rozenn Texier-Picard, and Vitaly A. Volpert. "Modelling of Miscible Liquids with the Korteweg Stress." ESAIM: Mathematical Modelling and Numerical Analysis 37, no. 5 (September 2003): 741–53. http://dx.doi.org/10.1051/m2an:2003042.

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