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Journal articles on the topic 'Centrifuge modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Babenko, Andriy, and Iaroslav Lavrenko. "The influence of imbalances on the dynamic characteristics of the laboratory centrifuge HERMLE Z306." Mechanics and Advanced Technologies 8, no. 1(100) (2024): 62–72. http://dx.doi.org/10.20535/2521-1943.2024.8.1(100).294820.

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Laboratory centrifuges are used in various industries. During operation, vibrations occur that lead to resonant frequencies, which in turn impair functionality. This paper presents an overview of the computational model of the HERMLE Z306 laboratory centrifuge used in medical laboratories to separate mixtures of different fractions to determine the dynamic characteristics. The zones of stable operation of the centrifuge and the influence of the rotation speed on the natural frequencies are analytically determined. Experimental results are presented with the influence of imbalances on the dynam

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2

ElGhoraiby, Mohamed A., and Majid T. Manzari. "Influence of Acceleration Field Curvature on Physical and Numerical Modeling of Liquefiable Slopes in Geotechnical Centrifuge Tests." Geotechnics 5, no. 2 (2025): 29. https://doi.org/10.3390/geotechnics5020029.

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Geotechnical centrifuge modeling is a powerful tool for investigating the behavior of geo-structural systems under realistic stress conditions. To accurately replicate the radial nature of the centrifugal acceleration field, the model surface is often curved—a detail that can significantly influence soil response. This study explores the effectiveness and limitations of incorporating surface curvature in centrifuge models through a series of nonlinear finite element analyses, utilizing an advanced constitutive model for liquefiable soils. Focusing on mildly sloping ground, the numerical models

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3

Hu, Li Ming, Heng Zhen Lee, Jian Wang, and Jian Ting Du. "Centrifuge Modeling and Numerical Simulation of Air Sparging Process." Advanced Materials Research 378-379 (October 2011): 445–48. http://dx.doi.org/10.4028/www.scientific.net/amr.378-379.445.

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Air sparging (AS) is one of the in-situ groundwater remediation techniques for remediating volatile organic compounds (VOCs) contaminated soil, and the knowledge of air flow features is essential in designing air sparging system for soil remediation. The centrifuge modeling technique was employed to simulate the in-situ conditions and to investigate air follow characteristics during air sparging by using glass beads as soils. Several centrifugal modeling tests were performed under various g-levels. According to the test results, the zone of influence (ZOI) during air sparging is in a truncated

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4

Altaee, Ameir, and Bengt H. Fellenius. "Physical modeling in sand." Canadian Geotechnical Journal 31, no. 3 (1994): 420–31. http://dx.doi.org/10.1139/t94-049.

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Small-scale testing under 1 g conditions as well as in the centrifuge presupposes that a model and prototype have comparative behavior. The chief condition for agreement between model and prototype is that the initial soil states of both must be at equal proximity to the steady state line. Then, when stresses are normalized to the initial mean stress, the model will in all aspects behave similarly to the prototype. Scaling rules are presented that indicate the relations between stress, strain, and displacement for the model and the prototype in terms of geometric scale and stress scale. An obv

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5

Ling, Hoe I., Min-Hao Wu, Dov Leshchinsky, and Ben Leshchinsky. "Centrifuge Modeling of Slope Instability." Journal of Geotechnical and Geoenvironmental Engineering 135, no. 6 (2009): 758–67. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0000024.

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6

He, Jianjian, Xihao Jiang, and Yubing Wang. "The Temperature-Influenced Scaling Law of Hydraulic Conductivity of Sand under the Centrifugal Environment." Water 16, no. 18 (2024): 2596. http://dx.doi.org/10.3390/w16182596.

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Accurate characterization of soil hydraulic conductivity influenced by temperature under a centrifugal environment is important for hydraulic and geotechnical engineering. Therefore, a temperature-influenced scaling law for hydraulic conductivity of soil in centrifuge modeling was deduced, and a temperature-controlled falling-head permeameter apparatus specifically designed for centrifuge modeling was also developed. Subsequently, a series of temperature-controlled falling-head tests were conducted under varying centrifugal accelerations to achieve the following objectives: (1) examine the per

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7

Shayakhmetova, Madina, Amirzhan Kassenov, Gulmira Zhumadilova, et al. "Physical Modeling of the Process of Centrifugation of Crushed Bovine Bones to Separate Animal Fat and Meat–Bone Slurry." Applied Sciences 13, no. 21 (2023): 11808. http://dx.doi.org/10.3390/app132111808.

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This article describes the design of a centrifuge for the separation of fat from meat–bone slurry to produce fat-extracted animal feed. The characteristics of the main components of the equipment and the principle of its operation were presented. The productivity of the centrifuge depending on duration and speed of rotation was determined. Data were provided for different drum speeds (1000, 1500, 2000, 2500 rpm) and centrifugation durations (5, 7, 10 and 15 min), with the yield (output) of defatted slurry measured as a percentage. Among the various conditions tested, the maximum yield of slurr

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8

Byrne, Peter M., Sung-Sik Park, Michael Beaty, Michael Sharp, Lenart Gonzalez, and Tarek Abdoun. "Numerical modeling of liquefaction and comparison with centrifuge tests." Canadian Geotechnical Journal 41, no. 2 (2004): 193–211. http://dx.doi.org/10.1139/t03-088.

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The prediction of liquefaction and resulting displacements is a major concern for earth structures located in regions of moderate to high seismicity. Conventional procedures used to assess liquefaction commonly predict the triggering of liquefaction to depths of 50 m or more. Remediation to prevent or curtail liquefaction at these depths can be very expensive. Field experience during past earthquakes indicates that liquefaction has mainly occurred at depths less than about 15 m, and some recent dynamic centrifuge model testing initially appeared to confirm a depth or confining-stress limitatio

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9

Nakajima, H., and A. T. Stadler. "Centrifuge modeling of one-step outflow tests for unsaturated parameter estimations." Hydrology and Earth System Sciences Discussions 3, no. 3 (2006): 731–68. http://dx.doi.org/10.5194/hessd-3-731-2006.

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Abstract. Centrifuge modeling of one-step outflow tests were carried out using a 2-m radius geotechnical centrifuge, and the cumulative outflow and transient pore pressure were measured during the tests at multiple gravity levels. Based on the scaling law of centrifuge modeling, the measurements generally showed reasonable agreement with prototype data calculated from forward simulations with input parameters determined from standard laboratory tests. The parameter optimizations were examined for three different combinations of input data sets using the test measurements. Within the gravity le

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10

Drnevich, VP, JC Santamarina, and DJ Goodings. "Centrifuge Modeling: A Study of Similarity." Geotechnical Testing Journal 12, no. 2 (1989): 163. http://dx.doi.org/10.1520/gtj10692j.

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11

Drnevich, VP, RJ Fragaszy, and T. Taylor. "Centrifuge Modeling for Projectile Penetration Studies." Geotechnical Testing Journal 12, no. 4 (1989): 281. http://dx.doi.org/10.1520/gtj10985j.

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12

Nakajima, H., and A. T. Stadler. "Centrifuge modeling of one-step outflow tests for unsaturated parameter estimations." Hydrology and Earth System Sciences 10, no. 5 (2006): 715–29. http://dx.doi.org/10.5194/hess-10-715-2006.

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Abstract. Centrifuge modeling of one-step outflow tests were carried out using a 2-m radius geotechnical centrifuge, and the cumulative outflow and transient pore water pressure were measured during the tests at multiple gravity levels. Based on the scaling laws of centrifuge modeling, the measurements generally showed reasonable agreement with prototype data calculated from forward simulations with input parameters determined from standard laboratory tests. The parameter optimizations were examined for three different combinations of input data sets using the test measurements. Within the gra

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13

Rakitin, B., and X. Ming. "CENTRIFUGE MODELING OF LARGE DIAMETER UNDERGROUND PIPES SUBJECTED TO HEAVY TRAFFIC LOADS." Bulletin of South Ural State University series "Construction Engineering and Architecture" 16, no. 3 (2016): 31–46. http://dx.doi.org/10.14529/build160305.

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impose uncertainties on pipe design. This paper describes the procedure and results of a series of geotechnical centrifuge tests performed on a large 1400 mm-diameter reinforced concrete pipe with a footing subjected to heavy traffic loading. The influence of soil cover depth, as well as the positions and magnitude of traffic loads, on the bending moments of the pipe were investigated. A heavy truck with a maximum load of 850 kN was simulated in the majority of the tests, and a medium truck of 252 kN was also simulated. The centrifuge test results were found to be in reasonable agreement with

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14

Mahmud, Mahadzer B., and Thomas F. Zimmie. "Instrumentation and Calibration of Geotextiles Used in Centrifuge Modeling of Slopes." Transportation Research Record: Journal of the Transportation Research Board 1614, no. 1 (1998): 3–7. http://dx.doi.org/10.3141/1614-01.

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Research on the application of geotextile strips used as reinforcement in marginally stable soft soil slopes was performed with a geotechnical centrifuge. A variety of instrumentation was used in the model studies. When centrifuge models are used, the elements being modeled must be scaled down by the level of centrifuge acceleration—that is, the g level used in the modeling process. This results in the use of very small geotextile reinforcing strips, which are difficult to instrument. In this study, small strips of nonwoven geotextile were driven into the model slope while the centrifuge was i

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15

Xu, Zheng Lai, and Charles E. Pierce. "TDR-Based Shear Deformation Measuring System for Slope Failure Modeling." Advanced Materials Research 639-640 (January 2013): 1155–61. http://dx.doi.org/10.4028/www.scientific.net/amr.639-640.1155.

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Physical soil models are often used to study slope failure in centrifuge and/or shaking table tests. An important part of such physical modeling is to monitor the subsurface deformation patterns of failing slopes. As an emerging technology to monitor internal deformation of geo-materials, time domain reflectometry (TDR) has been successfully applied in field monitoring of unstable slopes. This paper presents the development of a custom-made TDR sensor and its application in a 1-g slope failure model test. The test results show that the TDR system is capable of capturing localized shear deforma

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16

Weber, T. M. "Centrifuge modeling of ground improvement under embankments." Pollack Periodica 1, no. 2 (2006): 3–15. http://dx.doi.org/10.1556/pollack.1.2006.2.1.

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17

Gurumoorthy, C., and DN Singh. "Centrifuge Modeling of Diffusion through Rock Mass." Journal of Testing and Evaluation 33, no. 1 (2005): 11434. http://dx.doi.org/10.1520/jte11434.

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18

Cheney, J. A., R. K. Brown, N. R. Dhat, and O. Y. Z. Hor. "Modeling Free‐Field Conditions in Centrifuge Models." Journal of Geotechnical Engineering 116, no. 9 (1990): 1347–67. http://dx.doi.org/10.1061/(asce)0733-9410(1990)116:9(1347).

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19

David Suits, L., TC Sheahan, M. Sakr, and M. Hesham El Naggar. "Centrifuge Modeling of Tapered Piles in Sand." Geotechnical Testing Journal 26, no. 1 (2003): 8935. http://dx.doi.org/10.1520/gtj11106j.

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20

David Suits, L., TC Sheahan, MM Dewoolkar, T. Goddery, and D. Znidarcic. "Centrifuge Modeling for Undergraduate Geotechnical Engineering Instruction." Geotechnical Testing Journal 26, no. 2 (2003): 10726. http://dx.doi.org/10.1520/gtj11327j.

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21

Suits, L. D., T. C. Sheahan, Nason J. McCullough, Stephen E. Dickenson, Scott M. Schlechter, and Jonathan C. Boland. "Centrifuge Seismic Modeling of Pile-Supported Wharves." Geotechnical Testing Journal 30, no. 5 (2007): 14066. http://dx.doi.org/10.1520/gtj14066.

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22

Balci, Mehmet C., Kamil Kayabali, and Ramin Asadi. "Miniature Centrifuge Modeling for Conventional Consolidation Test." Geotechnical Testing Journal 41, no. 3 (2018): 20160297. http://dx.doi.org/10.1520/gtj20160297.

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23

Acosta, Erika Andrea, Sérgio Tibana, Márcio de Souza Soares de Almeida, and Fernando Saboya. "Centrifuge modeling of hydroplaning in submarine slopes." Ocean Engineering 129 (January 2017): 451–58. http://dx.doi.org/10.1016/j.oceaneng.2016.10.047.

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24

Hu, Yun, Ga Zhang, Jian-Min Zhang, and C. F. Lee. "Centrifuge modeling of geotextile-reinforced cohesive slopes." Geotextiles and Geomembranes 28, no. 1 (2010): 12–22. http://dx.doi.org/10.1016/j.geotexmem.2009.09.001.

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25

Nakajima, Hideo, Akihiko Hirooka, Jiro Takemura, and Miguel A. Mariño. "CENTRIFUGE MODELING OF ONE-DIMENSIONAL SUBSURFACE CONTAMINATION." Journal of the American Water Resources Association 34, no. 6 (1998): 1415–25. http://dx.doi.org/10.1111/j.1752-1688.1998.tb05441.x.

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26

Ritter, Stefan, Giorgia Giardina, Andrea Franza, and Matthew J. DeJong. "Building Deformation Caused by Tunneling: Centrifuge Modeling." Journal of Geotechnical and Geoenvironmental Engineering 146, no. 5 (2020): 04020017. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0002223.

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27

Abdoun, Tarek, Ricardo Dobry, Thomas D. O’Rourke, and S. H. Goh. "Pile Response to Lateral Spreads: Centrifuge Modeling." Journal of Geotechnical and Geoenvironmental Engineering 129, no. 10 (2003): 869–78. http://dx.doi.org/10.1061/(asce)1090-0241(2003)129:10(869).

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28

Kong, L. G., and L. M. Zhang. "Centrifuge Modeling of Torsionally Loaded Pile Groups." Journal of Geotechnical and Geoenvironmental Engineering 133, no. 11 (2007): 1374–84. http://dx.doi.org/10.1061/(asce)1090-0241(2007)133:11(1374).

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29

Abdoun, Tarek, Waleed El-Sekelly, Ricardo Dobry, Sabanayagam Thevanayagam, and Marcelo Gonzalez. "A Database for the Experimental Study of Earthquake-Induced Liquefaction and Lateral Spreading in Sands." Earthquake Spectra 32, no. 2 (2016): 1261–79. http://dx.doi.org/10.1193/013115eqs018m.

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Centrifuge and large-scale testing in geotechnical engineering are very useful tools for modeling soil behavior under different loading conditions, particularly under earthquake loading. The paper presents an extensive database of nine centrifuge and large-scale liquefaction experiments performed both at the geotechnical centrifuge testing facility at Rensselaer Polytechnic Institute (RPI) and the large-scale testing facility at the University at Buffalo (UB). The database described herein was generated using the NEEShub online DataStore tool under the name “CENSEIS: Centrifuge and Large (Full

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30

David Suits, L., TC Sheahan, N. Indrasenan Thusyanthan, SP Gopal Madabhushi, and S. Singh. "Centrifuge Modeling of Solid Waste Landfill Systems—Part 2: Centrifuge Testing of Model Waste." Geotechnical Testing Journal 29, no. 3 (2006): 14314. http://dx.doi.org/10.1520/gtj14314.

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31

Porbaha, A., and D. J. Goodings. "Centrifuge modeling of geotextile-reinforced steep clay slopes." Canadian Geotechnical Journal 33, no. 5 (1996): 696–704. http://dx.doi.org/10.1139/t96-096-317.

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When on-site soil is not granular, substantial cost savings can be achieved if a stable, steeply sloped, reinforced retaining system, backfilled with on-site fill can be sustituted for a vertical retaining wall with granular fill. Centrifuge modeling was used in this work to investigate the failure and prefailure behaviour of 14 reduced-scale geotextile-reinforced steep model slopes of 45, 63.4, 71.6°, backfilled with cohesive soil and constructed on either firm or rigid foundations. The overall performance of model slopes on firm foundations was found to be better than that of similar models

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32

Yang, Q. S., H. B. Poorooshasb, and P. R. Lach. "Centrifuge Modeling and Numerical Simulation of Ice Scour." Soils and Foundations 36, no. 1 (1996): 85–96. http://dx.doi.org/10.3208/sandf.36.85.

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33

Plizzari, Giovanni, Fletcher Waggoner, and Victor E. Saouma. "Centrifuge Modeling and Analysis of Concrete Gravity Dams." Journal of Structural Engineering 121, no. 10 (1995): 1471–79. http://dx.doi.org/10.1061/(asce)0733-9445(1995)121:10(1471).

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34

Goodings, D. J., and J. C. Santamarina. "Reinforced Earth and Adjacent Soils: Centrifuge Modeling Study." Journal of Geotechnical Engineering 115, no. 7 (1989): 1021–25. http://dx.doi.org/10.1061/(asce)0733-9410(1989)115:7(1021).

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35

Gadre, A. D., and V. S. Chandrasekaran. "Swelling of Black Cotton Soil Using Centrifuge Modeling." Journal of Geotechnical Engineering 120, no. 5 (1994): 914–19. http://dx.doi.org/10.1061/(asce)0733-9410(1994)120:5(914).

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36

Chaney, RC, KR Demars, MM Dewoolkar, H.-Y. Ko, AT Stadler, and SMF Astaneh. "A Substitute Pore Fluid for Seismic Centrifuge Modeling." Geotechnical Testing Journal 22, no. 3 (1999): 196. http://dx.doi.org/10.1520/gtj11111j.

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37

Ramadan, Mohamed I., Stephen D. Butt, and R. Popescu. "Offshore anchor piles under mooring forces: centrifuge modeling." Canadian Geotechnical Journal 50, no. 4 (2013): 373–81. http://dx.doi.org/10.1139/cgj-2012-0250.

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Offshore anchor piles are seafloor moorings that keep the position of floating structures during a harsh environment. These piles are usually subjected to a wide range of monotonic and cyclic lateral-to-oblique pullout forces. Centrifuge tests were carried out to study the behavior of offshore anchor piles under mooring forces in saturated dense sand. The tests were carried out at different loading angles. All piles were jacked into the sand bed in-flight. The pile models were instrumented with strain gauges. Bending moment, soil pressure, and pile lateral deflection profiles are presented and

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38

Bogovalov, S. V., V. A. Kislov, and I. V. Tronin. "Modeling of Waves in the Iguasu Gas Centrifuge." Physics Procedia 72 (2015): 287–91. http://dx.doi.org/10.1016/j.phpro.2015.09.097.

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39

Kumar, Rajeev P., and Devendra N. Singh. "Geotechnical Centrifuge Modeling of Chloride Diffusion through Soils." International Journal of Geomechanics 12, no. 3 (2012): 327–32. http://dx.doi.org/10.1061/(asce)gm.1943-5622.0000139.

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40

Murillo, C., L. Thorel, and B. Caicedo. "Ground vibration isolation with geofoam barriers: Centrifuge modeling." Geotextiles and Geomembranes 27, no. 6 (2009): 423–34. http://dx.doi.org/10.1016/j.geotexmem.2009.03.006.

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41

O'Rourke, Michael, Vikram Gadicherla, and Tarek Abdoun. "Centrifuge modeling of PGD response of buried pipe." Earthquake Engineering and Engineering Vibration 4, no. 1 (2005): 69–73. http://dx.doi.org/10.1007/s11803-005-0025-8.

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42

Luo, Qiang, Mao-tian Luan, Yun-ming Yang, Zhong-tao Wang, and Shou-zheng Zhao. "Numerical analysis and centrifuge modeling of shallow foundations." China Ocean Engineering 28, no. 2 (2014): 163–80. http://dx.doi.org/10.1007/s13344-014-0013-8.

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43

Shahnazari, Habib, Mehrdad Alizadeh, Saeid Tayefi, and Armin Saeedi Javadi. "Three-dimensional centrifuge modeling of soil nail walls." International Journal of Geotechnical Engineering 14, no. 6 (2019): 696–703. http://dx.doi.org/10.1080/19386362.2019.1649887.

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44

Kokkali, P., T. Abdoun, and I. Anastasopoulos. "Centrifuge Modeling of Rocking Foundations on Improved Soil." Journal of Geotechnical and Geoenvironmental Engineering 141, no. 10 (2015): 04015041. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0001315.

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45

Ng, Charles W. W., Sarah M. Springman, and Alison R. M. Norrish. "Centrifuge Modeling of Spread-Base Integral Bridge Abutments." Journal of Geotechnical and Geoenvironmental Engineering 124, no. 5 (1998): 376–88. http://dx.doi.org/10.1061/(asce)1090-0241(1998)124:5(376).

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46

Griffioen, J. W., and D. A. Barry. "Centrifuge Modeling of Unstable Infiltration and Solute Transport." Journal of Geotechnical and Geoenvironmental Engineering 125, no. 7 (1999): 556–65. http://dx.doi.org/10.1061/(asce)1090-0241(1999)125:7(556).

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47

Poulose, Asha, Smitha R. Nair, and Devendra N. Singh. "Centrifuge Modeling of Moisture Migration in Silty Soils." Journal of Geotechnical and Geoenvironmental Engineering 126, no. 8 (2000): 748–52. http://dx.doi.org/10.1061/(asce)1090-0241(2000)126:8(748).

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48

Sharp, Michael K., Ricardo Dobry, and Tarek Abdoun. "Liquefaction Centrifuge Modeling of Sands of Different Permeability." Journal of Geotechnical and Geoenvironmental Engineering 129, no. 12 (2003): 1083–91. http://dx.doi.org/10.1061/(asce)1090-0241(2003)129:12(1083).

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49

Christov, K., G. Todorova, P. Kenderov, and J. Kenderova. "Mathematical Modeling of Sedimentation Processes in a Centrifuge." Separation Science and Technology 26, no. 9 (1991): 1257–65. http://dx.doi.org/10.1080/01496399108050528.

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50

Viswanadham, B. VS, and K. V. Mahesh. "Modeling deformation behaviour of clay liners in a small centrifuge." Canadian Geotechnical Journal 39, no. 6 (2002): 1406–18. http://dx.doi.org/10.1139/t02-075.

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In modern solid waste landfills, liner systems are essential structural elements that ensure that waste materials are safely separated from the environment. Many liner systems have been developed and used over the past decade. Among impermeable layers, clay liners are regarded as one of the very significant components of liner system and are being used worldwide as a waste containment system in landfills. One of the failures associated with clay liners is the occurrence of nonuniform settlements, resulting from the sudden collapse of waste, or the decomposition of waste materials, and (or) the

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