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Journal articles on the topic 'Laboratory modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

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1

Bright, Frank. "Laboratory modelling of fluorescein interactions." Contact Lens and Anterior Eye 35 (December 2012): e49. http://dx.doi.org/10.1016/j.clae.2012.10.061.

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2

Kopysov, S. P., A. K. Novikov, V. N. Rychkov, Yu A. Sagdeeva, and L. E. Tonkov. "Virtual laboratory for finite element modelling." Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, no. 4 (December 2010): 131–45. http://dx.doi.org/10.20537/vm100415.

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3

Rodin, E. Y., and N. J. Taber. "Yeast growth modelling in a laboratory." Mathematical and Computer Modelling 10, no. 1 (1988): 67–73. http://dx.doi.org/10.1016/0895-7177(88)90123-9.

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4

Sommeria, J., and H. Didelle. "Laboratory modelling of atmospheric dynamical processes." European Physical Journal Conferences 1 (2009): 101–11. http://dx.doi.org/10.1140/epjconf/e2009-00913-0.

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5

Glukhova, Marina V. "MODELLING OF EXPERIMENTAL TRICHINOSIS OF LABORATORY RODENTS." Vestnik of Ulyanovsk State Agricultural Academy, no. 4(36) (December 4, 2016): 83–85. http://dx.doi.org/10.18286/1816-4501-2016-4-83-85.

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6

Kutsenko, Volodymyr, Gennadiy Ivanov, and Oleksandr Prodan. "Modelling of spondylolisthesis in small laboratory animals." ORTHOPAEDICS, TRAUMATOLOGY and PROSTHETICS, no. 4 (March 26, 2011): 63. http://dx.doi.org/10.15674/0030-59872011463-68.

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7

Yam, Ke, William D. McCaffrey, Derek B. Ingham, and Alan D. Burns. "CFD modelling of selected laboratory turbidity currents." Journal of Hydraulic Research 49, no. 5 (September 26, 2011): 657–66. http://dx.doi.org/10.1080/00221686.2011.607303.

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8

Saxena, Priyam, Kyle Hoegh, Lev Khazanovich, and Alex Gotlif. "Laboratory and analytical modelling of misaligned dowel." International Journal of Pavement Engineering 13, no. 3 (June 2012): 209–15. http://dx.doi.org/10.1080/10298436.2011.596936.

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9

Zhang, Rong, Marcel Zijlema, and Marcel J. F. Stive. "Laboratory validation of SWASH longshore current modelling." Coastal Engineering 142 (December 2018): 95–105. http://dx.doi.org/10.1016/j.coastaleng.2018.10.005.

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10

Ashmore, Peter E. "Laboratory modelling of gravel braided stream morphology." Earth Surface Processes and Landforms 7, no. 3 (March 14, 2007): 201–25. http://dx.doi.org/10.1002/esp.3290070301.

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11

Larrabide, I., P. J. Blanco, S. A. Urquiza, E. A. Dari, M. J. Vénere, N. A. de Souza e Silva, and R. A. Feijóo. "HeMoLab – Hemodynamics Modelling Laboratory: An application for modelling the human cardiovascular system." Computers in Biology and Medicine 42, no. 10 (October 2012): 993–1004. http://dx.doi.org/10.1016/j.compbiomed.2012.07.011.

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12

Cleophas, Ton J., and Aeilko H. Zwinderman. "Item response modelling for clinical and laboratory testing." European Journal of Clinical Investigation 40, no. 10 (July 29, 2010): 911–17. http://dx.doi.org/10.1111/j.1365-2362.2010.02362.x.

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13

Holt, R. M. "Particle vs. Laboratory modelling of In Situ compaction." Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy 26, no. 1-2 (January 2001): 89–93. http://dx.doi.org/10.1016/s1464-1895(01)00028-x.

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14

Lanaro, F., L. Jing, O. Stephansson, and G. Barla. "D.E.M. modelling of laboratory tests of block toppling." International Journal of Rock Mechanics and Mining Sciences 34, no. 3-4 (April 1997): 173.e1–173.e15. http://dx.doi.org/10.1016/s1365-1609(97)00116-0.

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15

Sladek, Bohumir. "Modelling of Laboratory Scale Models Using Recurrent Networks." IFAC Proceedings Volumes 30, no. 7 (June 1997): 527–32. http://dx.doi.org/10.1016/s1474-6670(17)43319-2.

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16

Plane, J. M. C., D. E. Self, T. Vondrak, and K. R. I. Woodcock. "Laboratory studies and modelling of mesospheric iron chemistry." Advances in Space Research 32, no. 5 (September 2003): 699–708. http://dx.doi.org/10.1016/s0273-1177(03)00401-0.

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17

VOUITSIS, E., L. NTZIACHRISTOS, and Z. SAMARAS. "Modelling of diesel exhaust aerosol during laboratory sampling." Atmospheric Environment 39, no. 7 (March 2005): 1335–45. http://dx.doi.org/10.1016/j.atmosenv.2004.11.011.

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18

Prezelj, Jurij, and Jure Murovec. "Traffic noise modelling and measurement: Inter-laboratory comparison." Applied Acoustics 127 (December 2017): 160–68. http://dx.doi.org/10.1016/j.apacoust.2017.06.010.

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19

Treagus, Susan H., and Dimitrios Sokoutis. "Laboratory modelling of strain variation across rheological boundaries." Journal of Structural Geology 14, no. 4 (April 1992): 405–24. http://dx.doi.org/10.1016/0191-8141(92)90102-3.

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20

Pap, Miklós, András Mahler, and Salem Georges Nehme. "Laboratory testing of seepage in concrete." E3S Web of Conferences 195 (2020): 03030. http://dx.doi.org/10.1051/e3sconf/202019503030.

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Due to the construction of underground structures and hazardous waste storages, understanding and modelling of water flow through concrete has become a major topic for life-span analyses. The water retention curve (WRC) is an essential unsaturated soil function, which can be determined not only for soil samples, but also for other porous media. This paper deals with the determination of drying water retention curve for six different concrete mixtures that provide a substantial characteristic for the investigation and modelling of seepage through the pores of concrete. According to the complex pore system of the concrete, the bimodal function of van Genuchten (1980) and Fredlund and Xing (1994) models were used for curve fitting. The fitted curves were used to estimate the permeability function using Fredlund et. al (1994) model.
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21

Chappin, Emile J. L., Laurens J. de Vries, Joern C. Richstein, Pradyumna Bhagwat, Kaveri Iychettira, and Salman Khan. "Simulating climate and energy policy with agent-based modelling: The Energy Modelling Laboratory (EMLab)." Environmental Modelling & Software 96 (October 2017): 421–31. http://dx.doi.org/10.1016/j.envsoft.2017.07.009.

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22

Kavanagh, Janine L., Samantha L. Engwell, and Simon A. Martin. "A review of laboratory and numerical modelling in volcanology." Solid Earth 9, no. 2 (April 27, 2018): 531–71. http://dx.doi.org/10.5194/se-9-531-2018.

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Abstract. Modelling has been used in the study of volcanic systems for more than 100 years, building upon the approach first applied by Sir James Hall in 1815. Informed by observations of volcanological phenomena in nature, including eye-witness accounts of eruptions, geophysical or geodetic monitoring of active volcanoes, and geological analysis of ancient deposits, laboratory and numerical models have been used to describe and quantify volcanic and magmatic processes that span orders of magnitudes of time and space. We review the use of laboratory and numerical modelling in volcanological research, focussing on sub-surface and eruptive processes including the accretion and evolution of magma chambers, the propagation of sheet intrusions, the development of volcanic flows (lava flows, pyroclastic density currents, and lahars), volcanic plume formation, and ash dispersal. When first introduced into volcanology, laboratory experiments and numerical simulations marked a transition in approach from broadly qualitative to increasingly quantitative research. These methods are now widely used in volcanology to describe the physical and chemical behaviours that govern volcanic and magmatic systems. Creating simplified models of highly dynamical systems enables volcanologists to simulate and potentially predict the nature and impact of future eruptions. These tools have provided significant insights into many aspects of the volcanic plumbing system and eruptive processes. The largest scientific advances in volcanology have come from a multidisciplinary approach, applying developments in diverse fields such as engineering and computer science to study magmatic and volcanic phenomena. A global effort in the integration of laboratory and numerical volcano modelling is now required to tackle key problems in volcanology and points towards the importance of benchmarking exercises and the need for protocols to be developed so that models are routinely tested against real world data.
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23

Boutelier, D., and O. Oncken. "3-D thermo-mechanical laboratory modelling of plate-tectonics." Solid Earth Discussions 3, no. 1 (February 18, 2011): 105–47. http://dx.doi.org/10.5194/sed-3-105-2011.

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Abstract. We present an experimental apparatus for 3-D thermo-mechanical analogue modelling of plate-tectonics processes such as oceanic and continental subductions, arc-continent or continental collisions. The model lithosphere, made of temperature-sensitive elasto-plastic with softening analogue materials, is submitted to a constant temperature gradient producing a strength reduction with depth in each layer. The surface temperature is imposed using infrared emitters, which allows maintaining an unobstructed view of the model surface and the use of a high resolution optical strain monitoring technique (Particle Imaging Velocimetry). Subduction experiments illustrate how the stress conditions on the interplate zone can be estimated using a force sensor attached to the back of the upper plate and changed because of the density and strength of the subducting lithosphere or the lubrication of the plate boundary. The first experimental results reveal the potential of the experimental set-up to investigate the three-dimensional solid-mechanics interactions of lithospheric plates in multiple natural situations.
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24

Nones, Michael. "Special Issue “Laboratory Geosciences: Modelling Surface Processes” in Geosciences." Geosciences 8, no. 11 (October 25, 2018): 386. http://dx.doi.org/10.3390/geosciences8110386.

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In the last decades, new and advanced measurement techniques have been developed to track the dynamics of surface processes and the formation of river bedforms, bars and island as well as complex fluvial networks, gullies and rills by means of small-scale laboratory experiments, aiming to integrate and support mathematical models [...]
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25

Ousey, John Russell. "A Computer-Simulation Laboratory Exercise on Water-Quality Modelling." Journal of Geological Education 41, no. 3 (May 1993): 262–66. http://dx.doi.org/10.5408/0022-1368-41.3.262.

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26

Chapuis, Robert P., Michel Soulié, and Georges Sayegh. "Laboratory modelling of field permeability tests in cased boreholes." Canadian Geotechnical Journal 27, no. 5 (October 1, 1990): 647–58. http://dx.doi.org/10.1139/t90-078.

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Field permeability tests in cased boreholes have been modelled in a sand tank with controlled and measured hydraulic conditions. The testing program included "end of the casing" and "Lefranc" tests, as described in Canadian standards 2501-135 and 2501-130, for field permeability tests in a casing driven in a granular soil (valid for 10−5 < K < 10−2 cm/s approximately). The theoretical solutions for these tests require a list of assumptions that may be difficult to satisfy under field conditions. The method for detecting the common error in the assumed piezometric level gave in all cases a local piezometric level equal to that determined independently by a set of 22 piezometers. In accordance with the theoretical solutions, the K values given by the tests do not depend on the controlled upward or downward seepage in the sand tank. The average K value given by such field tests is strongly influenced by the preparation of the injection zone, which includes a natural soil in a more or less disturbed condition adjacent to an injection aperture or lantern of poorly known geometry and condition, so losses in hydraulic heads there may be different from those assumed in theory. From a practical point of view, all drilling operations have a major impact on the results and must be strictly controlled to have a reasonable estimate of the K value. Key words: permeability, field, borehole, model tests, piezometric level.
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27

Weerasinghe, M., J. Wilkie, D. A. Mammant, A. Diez-Lazaro, and M. L. Hitchman. "Modelling and Simulation of a Laboratory Scale Esterification Process." IFAC Proceedings Volumes 33, no. 10 (June 2000): 1037–42. http://dx.doi.org/10.1016/s1474-6670(17)38677-9.

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28

Atanasijević-Kunc, Maja, Rihard Karba, and Borut Zupančič. "Multipurpose modelling in the evaluation of laboratory pilot plant." Simulation Practice and Theory 5, no. 7-8 (October 1997): 751–76. http://dx.doi.org/10.1016/s0928-4869(97)00010-4.

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29

Wilkman, Olli, Maria Gritsevich, Nataliya Zubko, Jouni I. Peltoniemi, and Karri Muinonen. "Photometric modelling for laboratory measurements of dark volcanic sand." Journal of Quantitative Spectroscopy and Radiative Transfer 185 (December 2016): 37–47. http://dx.doi.org/10.1016/j.jqsrt.2016.08.013.

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30

Wei, Lanting, Qiang Xu, Shanyong Wang, Cuilin Wang, and Jianfeng Chen. "Development of transparent cemented soil for geotechnical laboratory modelling." Engineering Geology 262 (November 2019): 105354. http://dx.doi.org/10.1016/j.enggeo.2019.105354.

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31

You, Z., A. Badalyan, Y. Yang, P. Bedrikovetsky, and M. Hand. "Fines migration in geothermal reservoirs: Laboratory and mathematical modelling." Geothermics 77 (January 2019): 344–67. http://dx.doi.org/10.1016/j.geothermics.2018.10.006.

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32

Heard, G. J., H. W. Dosso, W. Nienaber, and J. E. Lokken. "Laboratory analogue modelling of the Schumann Resonance source field." Physics of the Earth and Planetary Interiors 39, no. 3 (August 1985): 178–81. http://dx.doi.org/10.1016/0031-9201(85)90088-3.

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33

Desouky, S. M., M. M. Abdel-Daim, M. H. Sayyouh, and A. S. Dahab. "Modelling and laboratory investigation of microbial enhanced oil recovery." Journal of Petroleum Science and Engineering 15, no. 2-4 (August 1996): 309–20. http://dx.doi.org/10.1016/0920-4105(95)00044-5.

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34

Vipulanandan, C., O. I. Ghazzaly, M. W. O'Neill, and M. Leung. "Laboratory modelling of fractured clay for hazardous waste studies." Journal of Hazardous Materials 22, no. 2 (January 1989): 261. http://dx.doi.org/10.1016/0304-3894(89)85064-2.

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35

Rijnsdorp, Dirk P., Pieter B. Smit, and Marcel Zijlema. "Non-hydrostatic modelling of infragravity waves under laboratory conditions." Coastal Engineering 85 (March 2014): 30–42. http://dx.doi.org/10.1016/j.coastaleng.2013.11.011.

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36

Faez, Mohammad, Ahmad Ramezanzadeh, Reza Ghavami-Riabi, and Behzad Tokhmechi. "The evaluation of the effect of fracture geometry on permeability based on laboratory study and numerical modelling." Rudarsko-geološko-naftni zbornik 36, no. 5 (2021): 155–64. http://dx.doi.org/10.17794/rgn.2021.5.14.

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The geometry of fractures includes orientation, spacing, aperture are among the parameters affecting permeability in rocks. Studying the effect of fractures geometry on the permeability in a laboratory scale requires the selection of a suitable sample in terms of physical and mechanical properties. Therefore, in this study, fibrous fiber was selected due to low water absorption and permeability as well as its non-brittle behavior and flexibility. In order to investigate the effect of fracture geometry on the permeability, 1, 2, 3, and 4 fractures with spacing greater than 50 mm, 50 mm, 25 mm, and 15 mm and with orientations of 0, 15, 30, 45, and 60 degrees to the horizon in the sample were created. The fractures did not come into contact with the surface of the sample .The results showed that the permeability raises exponentially with increasing orientation and decreasing the spacing. This situation is mostly seen in fractures with orientations larger than 30 degrees. Also, the permeability measured in the laboratory was compared with the results obtained from the numerical method of distinct elements and UDEC software. The results showed an error of about 10-15%, which is well-matched between the permeability obtained from the laboratory and the numerical method.
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37

Lopez, Philippe, Joëlle Riss, Sylvie Gentier, Rock Flamand, Guy Archambault, and Soizic Bouvet. "IMAGE ANALYSIS FOR MODELLING SHEAR BEHAVIOUR." Image Analysis & Stereology 19, no. 1 (May 3, 2011): 61. http://dx.doi.org/10.5566/ias.v19.p61-65.

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Through laboratory research performed over the past ten years, many of the critical links between fracture characteristics and hydromechanical and mechanical behaviour have been made for individual fractures. One of the remaining challenges at the laboratory scale is to directly link fracture morphology of shear behaviour with changes in stress and shear direction. A series of laboratory experiments were performed on cement mortar replicas of a granite sample with a natural fracture perpendicular to the axis of the core. Results show that there is a strong relationship between the fracture's geometry and its mechanical behaviour under shear stress and the resulting damage. Image analysis, geostatistical, stereological and directional data techniques are applied in combination to experimental data. The results highlight the role of geometric characteristics of the fracture surfaces (surface roughness, size, shape, locations and orientations of asperities to be damaged) in shear behaviour. A notable improvement in shear understanding is that shear behaviour is controlled by the apparent dip in the shear direction of elementary facets forming the fracture.
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38

BLEICHER, MARCUS, PIERO NICOLINI, MARTIN SPRENGER, and ELIZABETH WINSTANLEY. "MICRO BLACK HOLES IN THE LABORATORY." International Journal of Modern Physics E 20, supp02 (December 2011): 7–14. http://dx.doi.org/10.1142/s0218301311040529.

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The possibility of creating microscopic black holes is one of the most exciting predictions for the LHC, with potentially major consequences for our current understanding of physics. We briefly review the theoretical motivation for micro black hole production, and our understanding of their subsequent evolution. Recent work on modelling the radiation from quantum-gravity-corrected black holes is also discussed.
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39

Couriel, Edward, Lex Nielsen, Indra Jayewardene, and Bronson McPherson. "THE NEED FOR PHYSICAL MODELS IN COASTAL ENGINEERING." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 52. http://dx.doi.org/10.9753/icce.v36.structures.52.

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Coastal process understanding is based on observations of physical processes in the field and laboratory from which theories are developed. Theories may be expressed mathematically and coded into numerical models. Compared with the cost of field data acquisition and laboratory experiments, the cost of numerical modelling is often perceived to be low. Therefore, there is a tendency to undertake coastal investigation and design using numerical modelling methods alone. However, there is still a need for physical modelling in coastal engineering.
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40

Rosakis, Ares J., Hiroo Kanamori, and Kaiwen Xia. "Laboratory Earthquakes." International Journal of Fracture 138, no. 1-4 (March 2006): 211–18. http://dx.doi.org/10.1007/s10704-006-0030-6.

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41

Corradini, Flavio, Andrea Polini, Barbara Re, Lorenzo Rossi, and Francesco Tiezzi. "Consistent modelling of hierarchical BPMN collaborations." Business Process Management Journal 28, no. 2 (March 11, 2022): 442–60. http://dx.doi.org/10.1108/bpmj-07-2021-0485.

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PurposeThis paper aims at supporting business process designers in modelling collaborative scenarios in terms of hierarchical BPMN collaboration diagrams, to enforce consistency among different hierarchical levels.Design/methodology/approachThe proposed approach is based on a set of guidelines to apply during the modelling of hierarchical diagrams. These guidelines address consistency issues related to the hiding capability provided by sub-process and call activity elements, which may obscure behaviours at inner levels, especially exchange of messages, that are inconsistent with those in other hierarchical levels. A laboratory experience validates the guidelines' effectiveness.FindingsThe paper points out the issues of hierarchical diagrams, and the lack of support in this context from the existing BPMN modelling tools. Moreover, through a laboratory experience, the paper shows the benefits carried by the proposed guidelines concerning the quality of the modelled diagrams.Practical implicationsThe proposed guidelines have been implemented in a consistency checking tool that avoids consistency errors during the modelling activity. To foster its usage, the tool has been integrated into the Eclipse BPMN modelling environment.Originality/valueThe paper, employing consistency guidelines, provides a novel solution to the weaknesses of hierarchical modelling.
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42

Arachchige, Uchitha N., Alexander R. Cruden, and Roberto Weinberg. "Laponite gels - visco-elasto-plastic analogues for geological laboratory modelling." Tectonophysics 805 (April 2021): 228773. http://dx.doi.org/10.1016/j.tecto.2021.228773.

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43

Kopeitsev, Viktor N., Mikhael E. Romash, and Aleksei Y. Varaksin. "Tornado-like non-stationary vortices: experimental modelling under laboratory conditions." Natural Science 03, no. 11 (2011): 907–13. http://dx.doi.org/10.4236/ns.2011.311116.

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44

Abdelaziz, Aly, Johnson Ha, Mei Li, Earl Magsipoc, Lei Sun, and Giovanni Grasselli. "Understanding hydraulic fracture mechanisms: From the laboratory to numerical modelling." Advances in Geo-Energy Research 7, no. 1 (October 1, 2022): 66–68. http://dx.doi.org/10.46690/ager.2023.01.07.

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45

Tüysüz, Mehmet Fatih, Ayşe Canseven, and Nesrin Seyhan. "The numerical modelling studies performed at the Gazi Biophysics Laboratory." Journal of Experimental and Clinical Medicine 30, no. 3 (October 30, 2013): 277. http://dx.doi.org/10.5835/jecm.omu.30.03.022.

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46

Thiele, Adam, and László Dévényi. "Modelling Possibilities of the Medieval Bloomery Process under Laboratory Conditions." Materials Science Forum 729 (November 2012): 290–95. http://dx.doi.org/10.4028/www.scientific.net/msf.729.290.

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Two different models have been developed under laboratory conditions based on the experiences of smelting experiments carried out in bloomery furnaces patterned on some excavated 10-12th century ones. Using Rudabánya iron ore, experiments were conducted in a closed pot and in a small open shaft furnace. During the experiments the air supply, the temperature and the weight of the iron ore and the charcoal were measured. SEM-EDX analyses were performed on bloom pieces obtained from the experiments. The results of the modelling may be correlated with the results of the previous smelting experiments. The model is sufficient for investigating some adequate parameters of the medieval bloomery technology, e.g. the iron yield.
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47

Roudsari, Mohamad Sadegh, and Ali Beitollahi. "Laboratory modelling of self-potential anomalies due to spherical bodies." Exploration Geophysics 46, no. 4 (December 2015): 320–31. http://dx.doi.org/10.1071/eg13100.

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48

Fatahi, M. R., and A. Farzanegan. "Computational modelling of water flow inside laboratory Knelson concentrator bowl." Canadian Metallurgical Quarterly 58, no. 2 (November 25, 2018): 140–55. http://dx.doi.org/10.1080/00084433.2018.1549344.

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49

Trevisan, Marco, Ettore Capri, Alfredo Cella, Giuseppe Errera, and Fernando Sicbaldi. "Field, laboratory and modelling studies to evaluate Aclonifen soil fate." Toxicological & Environmental Chemistry 70, no. 1-2 (May 1999): 29–47. http://dx.doi.org/10.1080/02772249909358737.

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50

Woeller, David J. "Unbound granular materials: laboratory testing, in situ testing, and modelling." Canadian Geotechnical Journal 37, no. 6 (2000): 1399. http://dx.doi.org/10.1139/cgj-37-6-1399.

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