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Journal articles on the topic 'Shear flow'

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Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Cisneros-Aguirre, Jesús, J. L. Pelegrí, and P. Sangrà. "Experiments on layer formation in stratified shear flow." Scientia Marina 65, S1 (July 30, 2001): 117–26. http://dx.doi.org/10.3989/scimar.2001.65s1117.

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2

Padilla, Paz, and So/ren Toxvaerd. "Simulating shear flow." Journal of Chemical Physics 104, no. 15 (April 15, 1996): 5956–63. http://dx.doi.org/10.1063/1.471327.

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3

Ozono, Shigehira, Takao Kitajima, and Takejiro Ichiki. "THE FLOW AROUND RECTANGULAR CYLINDERS PLACED IN SIMPLE SHEAR(Flow around Cylinder 1)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 427–32. http://dx.doi.org/10.1299/jsmeicjwsf.2005.427.

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4

Radko, Timour. "Instabilities of a Time-Dependent Shear Flow." Journal of Physical Oceanography 49, no. 9 (September 2019): 2377–92. http://dx.doi.org/10.1175/jpo-d-19-0067.1.

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AbstractThis study offers a systematic stability analysis of unsteady shear flows representing large-scale, low-frequency internal waves in the ocean. The analysis is based on the unbounded time-dependent Couette model. This setup makes it possible to isolate the instabilities caused by uniform shear from those that can be attributed to resonant triad interactions or to the presence of inflection points in vertical velocity profiles. Linear analysis suggests that time-dependent spatially uniform shears are unstable regardless of the Richardson number (Ri). However, the growth rate of instability monotonically decreases with increasing Ri and increases with increasing frequency of oscillations. Therefore, models assuming a steady basic state—which are commonly used to conceptualize shear-induced instability and mixing—can be viewed as singular limits of the corresponding time-dependent systems. The present investigation is focused on the supercritical range of Richardson numbers (Ri > 1/4) where steady parallel flows are stable. An explicit relation is proposed for the growth rate of shear instability as a function of background parameters. For moderately supercritical Richardson numbers (Ri ~ 1), we find that the growth rates obtained are less than, but comparable to, those expected for Kelvin–Helmholtz instabilities of steady shears at Ri < 1/4. Hence, we conclude that the instability of time-dependent flows could represent a viable mixing mechanism in the ocean, particular in regions characterized by relatively weak wave activity and predominantly supercritical large-scale shears.

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5

Lui, Mathew, Elizabeth E. Gardiner, Jane F. Arthur, Isaac Pinar, Woei Ming Lee, Kris Ryan, Josie Carberry, and Robert K. Andrews. "Novel Stenotic Microchannels to Study Thrombus Formation in Shear Gradients: Influence of Shear Forces and Human Platelet-Related Factors." International Journal of Molecular Sciences 20, no. 12 (June 18, 2019): 2967. http://dx.doi.org/10.3390/ijms20122967.

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Thrombus formation in hemostasis or thrombotic disease is initiated by the rapid adhesion, activation, and aggregation of circulating platelets in flowing blood. At arterial or pathological shear rates, for example due to vascular stenosis or circulatory support devices, platelets may be exposed to highly pulsatile blood flow, while even under constant flow platelets are exposed to pulsation due to thrombus growth or changes in vessel geometry. The aim of this study is to investigate platelet thrombus formation dynamics within flow conditions consisting of either constant or variable shear. Human platelets in anticoagulated whole blood were exposed ex vivo to collagen type I-coated microchannels subjected to constant shear in straight channels or variable shear gradients using different stenosis geometries (50%, 70%, and 90% by area). Base wall shears between 1800 and 6600 s−1, and peak wall shears of 3700 to 29,000 s−1 within stenoses were investigated, representing arterial-pathological shear conditions. Computational flow-field simulations and stenosis platelet thrombi total volume, average volume, and surface coverage were analysed. Interestingly, shear gradients dramatically changed platelet thrombi formation compared to constant base shear alone. Such shear gradients extended the range of shear at which thrombi were formed, that is, platelets became hyperthrombotic within shear gradients. Furthermore, individual healthy donors displayed quantifiable differences in extent/formation of thrombi within shear gradients, with implications for future development and testing of antiplatelet agents. In conclusion, here, we demonstrate a specific contribution of blood flow shear gradients to thrombus formation, and provide a novel platform for platelet functional testing under shear conditions.

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6

Haupt, Sue Ellen, James C. McWilliams, and Joseph J. Tribbia. "Modons in Shear Flow." Journal of the Atmospheric Sciences 50, no. 9 (May 1993): 1181–98. http://dx.doi.org/10.1175/1520-0469(1993)050<1181:misf>2.0.co;2.

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7

Kim, Eun-jin. "Role of magnetic shear in flow shear suppression." Physics of Plasmas 14, no. 8 (August 2007): 084504. http://dx.doi.org/10.1063/1.2762179.

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8

Borzsák, István, and András Baranyai. "Shear flow in the infinite-shear-rate limit." Physical Review E 52, no. 4 (October 1, 1995): 3997–4008. http://dx.doi.org/10.1103/physreve.52.3997.

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9

Savin, L. A., and E. A. Mashkov. "Shear Flow of Low-Viscosity Liquids in Elastic Converging Channels." Advanced Materials & Technologies, no. 4 (2017): 041–48. http://dx.doi.org/10.17277/amt.2017.04.pp.041-048.

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10

Conway, Daniel E., Marcie R. Williams, Suzanne G. Eskin, and Larry V. McIntire. "Endothelial cell responses to atheroprone flow are driven by two separate flow components: low time-average shear stress and fluid flow reversal." American Journal of Physiology-Heart and Circulatory Physiology 298, no. 2 (February 2010): H367—H374. http://dx.doi.org/10.1152/ajpheart.00565.2009.

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To simulate the effects of shear stress in regions of the vasculature prone to developing atherosclerosis, we subjected human umbilical vein endothelial cells to reversing shear stress to mimic the hemodynamic conditions at the wall of the carotid sinus, a site of complex, reversing blood flow and commonly observed atherosclerosis. We compared the effects of reversing shear stress (time-average: 1 dyn/cm2, maximum: +11 dyn/cm2, minimum: −11 dyn/cm2, 1 Hz), arterial steady shear stress (15 dyn/cm2), and low steady shear stress (1 dyn/cm2) on gene expression, cell proliferation, and monocyte adhesiveness. Microarray analysis revealed that most differentially expressed genes were similarly regulated by all three shear stress regimens compared with static culture. Comparisons of the three shear stress regimens to each other identified 138 genes regulated by low average shear stress and 22 genes regulated by fluid reversal. Low average shear stress induced increased cell proliferation compared with high shear stress. Only reversing shear stress exposure induced monocyte adhesion. The adhesion of monocytes was partially inhibited by the incubation of endothelial cells with ICAM-1 blocking antibody. Increased heparan sulfate proteoglycan expression was observed on the surface of cells exposed to reversing shear stress. Heparinase III treatment significantly reduced monocyte adhesion. Our results suggest that low steady shear stress is the major impetus for differential gene expression and cell proliferation, whereas reversing flow regulates monocyte adhesion.

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11

Finol, Ender A., and Cristina H. Amon. "Blood Flow in Abdominal Aortic Aneurysms: Pulsatile Flow Hemodynamics." Journal of Biomechanical Engineering 123, no. 5 (May 15, 2001): 474–84. http://dx.doi.org/10.1115/1.1395573.

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Numerical predictions of blood flow patterns and hemodynamic stresses in Abdominal Aortic Aneurysms (AAAs) are performed in a two-aneurysm, axisymmetric, rigid wall model using the spectral element method. Physiologically realistic aortic blood flow is simulated under pulsatile conditions for the range of time-averaged Reynolds numbers 50⩽Rem⩽300, corresponding to a range of peak Reynolds numbers 262.5⩽Repeak⩽1575. The vortex dynamics induced by pulsatile flow in AAAs is characterized by a sequence of five different flow phases in one period of the flow cycle. Hemodynamic disturbance is evaluated for a modified set of indicator functions, which include wall pressure pw, wall shear stress τw, and Wall Shear Stress Gradient (WSSG). At peak flow, the highest shear stress and WSSG levels are obtained downstream of both aneurysms, in a pattern similar to that of steady flow. Maximum values of wall shear stresses and wall shear stress gradients obtained at peak flow are evaluated as a function of the time-average Reynolds number resulting in a fourth order polynomial correlation. A comparison between predictions for steady and pulsatile flow is presented, illustrating the importance of considering time-dependent flow for the evaluation of hemodynamic indicators.

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12

Dhont, Jan K. G., M. Pavlik Lettinga, Zvonimir Dogic, Tjerk A. J. Lenstra, Hao Wang, Silke Rathgeber, Philippe Carletto, Lutz Willner, Henrich Frielinghaus, and Peter Lindner. "Shear-banding and microstructure of colloids in shear flow." Faraday Discussions 123 (September 20, 2002): 157–72. http://dx.doi.org/10.1039/b205039k.

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13

Jacobitz, F. G., and S. Sarkar. "On the Shear Number Effect in Stratified Shear Flow." Theoretical and Computational Fluid Dynamics 13, no. 3 (August 1, 1999): 171–88. http://dx.doi.org/10.1007/s001620050114.

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14

Zheng, Jie, Wei-Juan Fu, and Lu-Wei Zhou. "Shear Banding Driven by Electric Field and Shear Flow." Chinese Physics Letters 30, no. 9 (September 2013): 094701. http://dx.doi.org/10.1088/0256-307x/30/9/094701.

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15

Le A. D., Ngoc L. L., Viet A. T., and Tran H. T. "Assessment of Flow Fluctuation Pressure Models for Simulating the Cavitating Flow." Technical Physics Letters 48, no. 4 (2022): 49. http://dx.doi.org/10.21883/tpl.2022.04.53487.19136.

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A numerical study is performed to simulate the cavitating flow, evaluating the applicability of different flow fluctuation pressure (FFP) models such as the Singhai FFT model, the modified Singhal FFT model, the shear strain model, and the present shear strain-vorticity model. The axisymmetric blunt-body with the availability of experimental data is selected for the simulation purpose. According to the results, the first three FFP models produce nearly similar pressure coefficient Cp distribution on the blunt-body. On the other hand, the numerical results indicate the influence of both turbulent shear strain rate and the vorticity in the flow. A slightly better prediction of the cavitation mechanisms such as the flow parameter Cp and cavity length is thus produced with the present shear strain-vorticity model. Keywords: Cavitation, turbulent fluctuation, shear strain, voticity, homogeneous model.

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16

Niu, Xiangdong, Yalei Zhe, Huafen Sun, Kepeng Hou, and Jun Jiang. "Study on the Effect of Ore-Drawing Shear Factor on Underground Debris Flow in the Block Caving Method." Water 15, no. 20 (October 12, 2023): 3563. http://dx.doi.org/10.3390/w15203563.

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The shear factor of ore drawing is an important factor affecting the formation of underground debris flows. The aim of this study was to investigate the effect of the mining shear factor on underground debris flows in natural caving. The research background was the underground debris flow in the Plan copper mine, and we analyzed the characteristics of the slurry material structure of the underground debris flow, as well as the influence of the ore-drawing shear factor on the formation mechanism of the underground debris flow. The results showed that the slurry of the underground debris flow in the Plan mine is both a pseudoplastic and thixotropic fluid. Shearing force induced in drawing deforms the slurry and decreases its viscosity with the increase in shear rate and time. The shear force produced by the flow of ore particles first produces shear action on the paste in the shear boundary region of the ore drawing, reducing the paste viscosity while increasing its fluidity. Consequently, the “activation” makes the paste flowable, which flows along with the bulk ore flowing through the drawing mouth. The continuous ore-drawing process continuously shears the new moraine slurry in the ore-drawing channel and continuously “activates” the moraine slurry in the ore-drawing channel. Finally, destructive underground debris flow accident of a certain scale occurs. To our knowledge, this study thoroughly investigated the effect of the ore-drawing shear factor on the formation mechanism of underground debris flows, which not only broadens the research field of debris flow but also covers the deficiency of systematic research on underground debris flows, providing theoretical guidance for the prevention and control of underground debris flows.

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17

Turkakin, Hava, Ian R. Mann, and Robert Rankin. "Linear and Nonlinear Kelvin–Helmholtz Instability and Magnetohydrodynamic Wave Emission in Sheared Astrophysical Plasma Flows." Astrophysical Journal 939, no. 1 (October 31, 2022): 30. http://dx.doi.org/10.3847/1538-4357/ac9404.

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Abstract The evolution of the Kelvin–Helmholtz instability (KHI) and magnetohydrodynamic (MHD) wave emission is investigated at shear-flow boundaries of magnetized plasmas. While MHD wave emission has been suggested to be only possible during the nonlinear stages, we find that there is also significant wave emission during the KHI’s linear stages. These emitted MHD waves may have stronger impacts than KHI surface waves since they can act to transport energy away from the local region of the shear flow. The removal of energy from the shear-flow region, instead of just the local redistribution considered in previous studies, and its propagation away from the interface could have major implications for the evolution of astrophysical objects characterized by fast plasma flow shears.

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18

Brugger, Beatrice A., Jacqueline Guettler, and Martin Gauster. "Go with the Flow—Trophoblasts in Flow Culture." International Journal of Molecular Sciences 21, no. 13 (June 30, 2020): 4666. http://dx.doi.org/10.3390/ijms21134666.

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With establishment of uteroplacental blood flow, the perfused fetal chorionic tissue has to deal with fluid shear stress that is produced by hemodynamic forces across different trophoblast subtypes. Amongst many other cell types, trophoblasts are able to sense fluid shear stress through mechanotransduction. Failure in the adaption of trophoblasts to fluid shear stress is suggested to contribute to pregnancy disorders. Thus, in the past twenty years, a significant body of work has been devoted to human- and animal-derived trophoblast culture under microfluidic conditions, using a rather broad range of different fluid shear stress values as well as various different flow systems, ranging from commercially 2D to customized 3D flow culture systems. The great variations in the experimental setup reflect the general heterogeneity in blood flow through different segments of the uteroplacental circulation. While fluid shear stress is moderate in invaded uterine spiral arteries, it drastically declines after entrance of the maternal blood into the wide cavity of the intervillous space. Here, we provide an overview of the increasing body of evidence that substantiates an important influence of maternal blood flow on several aspects of trophoblast physiology, including cellular turnover and differentiation, trophoblast metabolism, as well as endocrine activity, and motility. Future trends in trophoblast flow culture will incorporate the physiological low oxygen conditions in human placental tissue and pulsatile blood flow in the experimental setup. Investigation of trophoblast mechanotransduction and development of mechanosome modulators will be another intriguing future direction.

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19

Banishevsky, Victor, Roman Zakusylo, and Daryna Zakusylo. "Shear Flow of Guncotton Pulp." Central European Journal of Energetic Materials 18, no. 1 (March 30, 2021): 124–42. http://dx.doi.org/10.22211/cejem/134904.

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20

Goruleva, Larisa S., and Evgeniy Yu Prosviryakov. "Inhomogeneous Couette–Poiseuille shear flow." Procedia Structural Integrity 40 (2022): 171–79. http://dx.doi.org/10.1016/j.prostr.2022.04.023.

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21

Montanero, José M., Andrés Santos, Mirim Lee, James W. Dufty, and J. F. Lutsko. "Stability of uniform shear flow." Physical Review E 57, no. 1 (January 1, 1998): 546–56. http://dx.doi.org/10.1103/physreve.57.546.

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22

Dunstan, D. E., P. Hamilton-Brown, P. Asimakis, W. Ducker, and J. Bertolini. "Shear flow promotes amyloid- fibrilization." Protein Engineering Design and Selection 22, no. 12 (October 22, 2009): 741–46. http://dx.doi.org/10.1093/protein/gzp059.

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23

Padilla, Paz, and So/ren Toxvaerd. "Spinodal decomposition under shear flow." Journal of Chemical Physics 106, no. 6 (February 8, 1997): 2342–47. http://dx.doi.org/10.1063/1.473788.

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24

Baranyai, András, Denis J. Evans, and Peter J. Daivis. "Isothermal shear-induced heat flow." Physical Review A 46, no. 12 (December 1, 1992): 7593–600. http://dx.doi.org/10.1103/physreva.46.7593.

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25

Chan, Nikko Y., Ming Chen, Xiao-Tao Hao, Trevor A. Smith, and Dave E. Dunstan. "Polymer Compression in Shear Flow." Journal of Physical Chemistry Letters 1, no. 13 (June 8, 2010): 1912–16. http://dx.doi.org/10.1021/jz100535b.

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26

Finken, R., S. Kessler, and U. Seifert. "Micro-capsules in shear flow." Journal of Physics: Condensed Matter 23, no. 18 (April 20, 2011): 184113. http://dx.doi.org/10.1088/0953-8984/23/18/184113.

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27

Kraus, Martin, Wolfgang Wintz, Udo Seifert, and Reinhard Lipowsky. "Fluid Vesicles in Shear Flow." Physical Review Letters 77, no. 17 (October 21, 1996): 3685–88. http://dx.doi.org/10.1103/physrevlett.77.3685.

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28

Kumar, Sanjiv, Damien P. Foster, Debaprasad Giri, and Sanjay Kumar. "Grafted polymer under shear flow." Journal of Statistical Mechanics: Theory and Experiment 2016, no. 4 (April 12, 2016): 043203. http://dx.doi.org/10.1088/1742-5468/2016/04/043203.

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29

Wang, Zhong-Tian. "Diffusivity Scaling on Shear Flow." American Journal of Modern Physics 3, no. 5 (2014): 202. http://dx.doi.org/10.11648/j.ajmp.20140305.12.

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30

Allen, Michael A., John Brindley, John H. Merkin, and Michael J. Pilling. "Autocatalysis in a shear flow." Physical Review E 54, no. 2 (August 1, 1996): 2140–42. http://dx.doi.org/10.1103/physreve.54.2140.

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31

Doshi, S. R., and J. M. Dealy. "Exponential Shear: A Strong Flow." Journal of Rheology 31, no. 7 (October 1987): 563–82. http://dx.doi.org/10.1122/1.549936.

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32

Szymczak, P., and Marek Cieplak. "Proteins in a shear flow." Journal of Chemical Physics 127, no. 15 (October 21, 2007): 155106. http://dx.doi.org/10.1063/1.2795725.

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33

Mih, Walter C. "High concentration granular shear flow." Journal of Hydraulic Research 37, no. 2 (March 1999): 229–48. http://dx.doi.org/10.1080/00221689909498308.

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34

Stern, Melvin E. "Blocking an inviscid shear flow." Journal of Fluid Mechanics 227 (June 1991): 449–72. http://dx.doi.org/10.1017/s0022112091000198.

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The upstream influence in an inviscid two-dimensional shear flow around a semicircular ‘cape’ (radius A) is computed using a piecewise uniform vorticity model of a boundary-layer current. The area of this layer upstream from the cape increases as the square root of time t when A is small, and increases as t for larger A. Complete blocking occurs when A is approximately three times the boundary-layer thickness, in which case all oncoming particles accumulate in a large upstream vortex. The numerical results obtained from the contour dynamical method also show the generation of large eddies downstream from the obstacle.

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35

Heyes, D. M. "Shear flow by molecular dynamics." Physica B+C 131, no. 1-3 (August 1985): 217–26. http://dx.doi.org/10.1016/0378-4363(85)90154-8.

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36

Farhoudi, Y., and A. D. Rey. "Shear flow of nematic polymers." Journal of Non-Newtonian Fluid Mechanics 49, no. 2-3 (October 1993): 175–204. http://dx.doi.org/10.1016/0377-0257(93)85002-r.

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37

Abdeljabar, R., and M. J. Safi. "Shear flow induced interface instability." Experiments in Fluids 31, no. 1 (July 1, 2001): 13–18. http://dx.doi.org/10.1007/s003480000253.

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38

Garzó, V., and M. López de Haro. "Tracer diffusion in shear flow." Physical Review A 44, no. 2 (July 1, 1991): 1397–400. http://dx.doi.org/10.1103/physreva.44.1397.

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39

Chiueh, Tzihong. "Rotation-driven Shear Flow Instabilities." Astrophysical Journal 470 (October 1996): 591. http://dx.doi.org/10.1086/177891.

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40

Piest, Jürgen. "Theory of turbulent shear flow." Physica A: Statistical Mechanics and its Applications 157, no. 2 (June 1989): 688–704. http://dx.doi.org/10.1016/0378-4371(89)90062-9.

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41

Piest, Jürgen. "Theory of turbulent shear flow." Physica A: Statistical Mechanics and its Applications 168, no. 3 (October 1990): 966–82. http://dx.doi.org/10.1016/0378-4371(90)90266-u.

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42

Piest, Jürgen. "Theory of turbulent shear flow." Physica A: Statistical Mechanics and its Applications 187, no. 1-2 (August 1992): 172–90. http://dx.doi.org/10.1016/0378-4371(92)90417-o.

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43

Simonson, Tomas, and Mikael Kubista. "DNA orientation in shear flow." Biopolymers 33, no. 8 (August 1993): 1225–35. http://dx.doi.org/10.1002/bip.360330809.

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44

Mampallil, Dileep, and Dirk van den Ende. "Electroosmotic shear flow in microchannels." Journal of Colloid and Interface Science 390, no. 1 (January 2013): 234–41. http://dx.doi.org/10.1016/j.jcis.2012.08.030.

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45

Rychkov, Igor. "Block Copolymers Under Shear Flow." Macromolecular Theory and Simulations 14, no. 4 (May 12, 2005): 207–42. http://dx.doi.org/10.1002/mats.200400023.

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46

Komura, S., and H. Kodama. "Microemulsions under steady shear flow." Progress in Colloid & Polymer Science 106, no. 1 (December 1997): 75–78. http://dx.doi.org/10.1007/bf01189495.

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47

Khorasani, Nariman Ashrafi, and Habib Karimi Haghighi. "Shear-dependant toroidal vortex flow." Journal of Mechanical Science and Technology 27, no. 1 (January 2013): 85–94. http://dx.doi.org/10.1007/s12206-012-1222-9.

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48

Ishizawa, Akihiro, and Tsuguo Takahashi. "Flow Around a Source Doublet in Shear Flow." Journal of the Physical Society of Japan 65, no. 7 (July 15, 1996): 2033–43. http://dx.doi.org/10.1143/jpsj.65.2033.

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49

Zhu, Junfang, and Hiroshi Mizunuma. "Shear and Extensional Flow Rheology of Mucilages Derived from Natural Foods." Nihon Reoroji Gakkaishi 45, no. 2 (2017): 91–99. http://dx.doi.org/10.1678/rheology.45.91.

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50

Ingel, L. Kh. "On the Nonlinear Dynamics of Turbulent Thermals in the Shear Flow." Nelineinaya Dinamika 15, no. 1 (2019): 35–39. http://dx.doi.org/10.20537/nd190104.

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