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Journal articles on the topic 'Dynamic heterogeneities'

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Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Stanley, H. Eugene, Sergey V. Buldyrev, Giancarlo Franzese, Nicolas Giovambattista, and Francis W. Starr. "Static and dynamic heterogeneities in water." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 363, no. 1827 (December 22, 2004): 509–23. http://dx.doi.org/10.1098/rsta.2004.1505.

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The thermodynamic behaviour of water seems to be related to static heterogeneities. These static heterogeneities are related to the local structure of water molecules and, when properly characterized, may offer an economical explanation of thermodynamic data. ‘What matters’ most in determining some of the unusual properties of liquid water may be the fact that the local geometry of the liquid molecules is not spherical or oblong, but rather tetrahedral. In respect to static heterogeneities, this local geometry is critical. The dynamic behaviour of water seems to be related to dynamic heterogeneities, which seem to explain the dynamics of supercooled liquid water well.

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2

Shaw, Bruce E. "Dynamic heterogeneities versus fixed heterogeneities in earthquake models." Geophysical Journal International 156, no. 2 (February 2004): 275–86. http://dx.doi.org/10.1111/j.1365-246x.2003.02134.x.

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3

Giovambattista, Nicolas, Marco G. Mazza, Sergey V. Buldyrev, Francis W. Starr, and H. Eugene Stanley. "Dynamic Heterogeneities in Supercooled Water†." Journal of Physical Chemistry B 108, no. 21 (May 2004): 6655–62. http://dx.doi.org/10.1021/jp037925w.

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4

Syutkin, V. M., S. Yu Grebenkin, and B. V. Bol’shakov. "Dynamic heterogeneities in glassy polymers." Polymer Science Series A 53, no. 10 (October 2011): 968–76. http://dx.doi.org/10.1134/s0965545x11090136.

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5

Bock, D., N. Petzold, R. Kahlau, S. Gradmann, B. Schmidtke, N. Benoit, and E. A. Rössler. "Dynamic heterogeneities in glass-forming systems." Journal of Non-Crystalline Solids 407 (January 2015): 88–97. http://dx.doi.org/10.1016/j.jnoncrysol.2014.09.029.

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6

Reddy, Th Dhileep N., and Bhabani S. Mallik. "Heterogeneity in the microstructure and dynamics of tetraalkylammonium hydroxide ionic liquids: insight from classical molecular dynamics simulations and Voronoi tessellation analysis." Physical Chemistry Chemical Physics 22, no. 6 (2020): 3466–80. http://dx.doi.org/10.1039/c9cp06796e.

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Microscopic structural and dynamic heterogeneities were investigated for three ionic liquids (ILs), tetraethylammonium hydroxide, tetrapropylammonium hydroxide, and tetrabutylammonium hydroxide employing classical molecular dynamics (MD) simulations.

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7

Doliwa, Burkhard, and Andreas Heuer. "How do dynamic heterogeneities evolve in time?" Journal of Non-Crystalline Solids 307-310 (September 2002): 32–39. http://dx.doi.org/10.1016/s0022-3093(02)01437-0.

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8

La Nave, Emilia, and Francesco Sciortino. "On Static and Dynamic Heterogeneities in Water†." Journal of Physical Chemistry B 108, no. 51 (December 2004): 19663–69. http://dx.doi.org/10.1021/jp047374p.

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9

Greff-Lefftz, Marianne, Laurent Métivier, and Jean Besse. "Dynamic mantle density heterogeneities and global geodetic observables." Geophysical Journal International 180, no. 3 (March 2010): 1080–94. http://dx.doi.org/10.1111/j.1365-246x.2009.04490.x.

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10

Kumar, Sanat K., Ralph H. Colby, Spiros H. Anastasiadis, and George Fytas. "Concentration fluctuation induced dynamic heterogeneities in polymer blends." Journal of Chemical Physics 105, no. 9 (September 1996): 3777–88. http://dx.doi.org/10.1063/1.472198.

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11

Heckmeier, M., S. E. Skipetrov, G. Maret, and R. Maynard. "Imaging of dynamic heterogeneities in multiple-scattering media." Journal of the Optical Society of America A 14, no. 1 (January 1, 1997): 185. http://dx.doi.org/10.1364/josaa.14.000185.

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12

Mhanna, Ramona, Pierre Catrou, Sujeet Dutta, Ronan Lefort, Ilham Essafri, Aziz Ghoufi, Matthias Muthmann, Michaela Zamponi, Bernhard Frick, and Denis Morineau. "Dynamic Heterogeneities in Liquid Mixtures Confined in Nanopores." Journal of Physical Chemistry B 124, no. 15 (March 27, 2020): 3152–62. http://dx.doi.org/10.1021/acs.jpcb.0c01035.

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13

Szamel, Grzegorz. "Is a “homogeneous” description of dynamic heterogeneities possible?" Journal of Chemical Physics 121, no. 8 (August 22, 2004): 3355–58. http://dx.doi.org/10.1063/1.1783873.

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14

Stanley, H. E. "Understanding Static and Dynamic Heterogeneities in Confined Water." Zeitschrift für Physikalische Chemie 223, no. 9 (October 2009): 939–56. http://dx.doi.org/10.1524/zpch.2009.6064.

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15

Zangi, Ronen, Stephan A. Mackowiak, and Laura J. Kaufman. "Probe particles alter dynamic heterogeneities in simple supercooled systems." Journal of Chemical Physics 126, no. 10 (March 14, 2007): 104501. http://dx.doi.org/10.1063/1.2434969.

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16

Heuer, Andreas, Ursula Tracht, and Hans W. Spiess. "Dynamic heterogeneities and cooperativity in a lattice model glass." Journal of Chemical Physics 107, no. 10 (September 8, 1997): 3813–20. http://dx.doi.org/10.1063/1.474740.

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17

Léonforte, F. "Dynamic and elastic heterogeneities in a 2D model glass." EPL (Europhysics Letters) 94, no. 6 (May 31, 2011): 66002. http://dx.doi.org/10.1209/0295-5075/94/66002.

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18

Collin, D., and P. Martinoty. "Dynamic macroscopic heterogeneities in a flexible linear polymer melt." Physica A: Statistical Mechanics and its Applications 320 (March 2003): 235–48. http://dx.doi.org/10.1016/s0378-4371(02)01524-8.

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19

Kim, Kang, Kunimasa Miyazaki, and Shinji Saito. "Slow dynamics, dynamic heterogeneities, and fragility of supercooled liquids confined in random media." Journal of Physics: Condensed Matter 23, no. 23 (May 25, 2011): 234123. http://dx.doi.org/10.1088/0953-8984/23/23/234123.

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20

Hu, Yuan-Chao, Bao-Shuang Shang, Peng-Fei Guan, Yong Yang, Hai-Yang Bai, and Wei-Hua Wang. "Thermodynamic scaling of glassy dynamics and dynamic heterogeneities in metallic glass-forming liquid." Journal of Chemical Physics 145, no. 10 (September 14, 2016): 104503. http://dx.doi.org/10.1063/1.4962324.

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21

Huerta-Viga, Adriana, Linh-Lan Nguyen, Saeed Amirjalayer, Jamie H. N. Sim, Zhengyang Zhang, and Howe-Siang Tan. "Glass formation of a DMSO–water mixture probed with a photosynthetic pigment." Physical Chemistry Chemical Physics 20, no. 26 (2018): 17552–56. http://dx.doi.org/10.1039/c8cp03058h.

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22

Hoang, Vo Van. "Static and Dynamic Heterogeneities in Supercooled SiO₂." Defect and Diffusion Forum 242-244 (September 2005): 77–94. http://dx.doi.org/10.4028/www.scientific.net/ddf.242-244.77.

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Static and Dynamic heterogeneities in supercooled SiO2 have been investigated in the models containing 3000 particles obtained by cooling from the melt with the pair interatomic potentials, which have the Morse type part for the short-range interaction. The evolution of structure of the system upon cooling was presented and analyzed in details through the changes in the partial radial distribution functions (PRDFs), coordination number distributions, bond-angle distributions and structural defects. Calculation presented that the temperature dependence of diffusion constant D of components in the system shows an Arrhenius law at low temperatures and it shows a power law, γ ) ( C T T D − ∝ , at high temperatures. The critical temperature Tc is equal to 4200 K and the exponent γ is close to 0.50. In order to study the dynamical heterogeneities in the system, we evaluated the non- Gaussian parameter for the self-part of the van Hove correlation function and luster-size distributions of most mobile or immobile particles in the model. We compared the PRDFs for the 10% most mobile or immobile particles with the corresponding mean ones. We have found that the most mobile and immobile particles form clusters and mean cluster size grows with decreasing temperature.

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23

Coniglio, A., T. Abete, A. de Candia, E. Del Gado, and A. Fierro. "Static and dynamic heterogeneities in irreversible gels and colloidal gelation." Journal of Physics: Condensed Matter 19, no. 20 (April 25, 2007): 205103. http://dx.doi.org/10.1088/0953-8984/19/20/205103.

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24

Ladieu, F., C. Thibierge, and D. L’Hôte. "An experimental search for dynamic heterogeneities in molecular glass formers." Journal of Physics: Condensed Matter 19, no. 20 (April 25, 2007): 205138. http://dx.doi.org/10.1088/0953-8984/19/20/205138.

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25

Qian, J., R. Hentschke, and A. Heuer. "On the origin of dynamic heterogeneities in glass-forming liquids." Journal of Chemical Physics 111, no. 22 (December 8, 1999): 10177–82. http://dx.doi.org/10.1063/1.480368.

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26

HARBOLA, UPENDRA, and SHANKAR P. DAS. "A SIMPLE MODEL FOR DYNAMIC HETEROGENEITIES IN A SUPERCOOLED LIQUID." International Journal of Modern Physics B 18, no. 09 (April 10, 2004): 1299–307. http://dx.doi.org/10.1142/s0217979204024574.

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The self-consistent mode-coupling theory (MCT) has been used to analyze the heterogeneous dynamical nature of a binary supercooled liquid. The non-Gaussian behavior is studied by analyzing the self part of the Van Hove correlation function, Gs(r, t). From the analysis of the single particle dynamics we identify a fraction (ϕM) of particles which are dynamically more active and find that ϕM increases as the temperature is decreased. This behavior is qualitatively similar to the computer simulation studies of the same system.

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27

Qian, J., and A. Heuer. "Exchange rates of dynamic heterogeneities in a glass-forming liquid." European Physical Journal B 18, no. 3 (December 2000): 501–5. http://dx.doi.org/10.1007/s100510070039.

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28

Feiner-Gracia, Natalia, Michaela Beck, Sílvia Pujals, Sébastien Tosi, Tamoghna Mandal, Christian Buske, Mika Linden, and Lorenzo Albertazzi. "Super-Resolution Microscopy Unveils Dynamic Heterogeneities in Nanoparticle Protein Corona." Small 13, no. 41 (September 18, 2017): 1701631. http://dx.doi.org/10.1002/smll.201701631.

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29

Adhikari, Aashish N., Noah A. Capurso, and Dieter Bingemann. "Heterogeneous dynamics and dynamic heterogeneities at the glass transition probed with single molecule spectroscopy." Journal of Chemical Physics 127, no. 11 (September 21, 2007): 114508. http://dx.doi.org/10.1063/1.2768955.

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30

Flenner, Elijah, and Grzegorz Szamel. "Dynamic heterogeneities above and below the mode-coupling temperature: Evidence of a dynamic crossover." Journal of Chemical Physics 138, no. 12 (March 28, 2013): 12A523. http://dx.doi.org/10.1063/1.4773321.

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31

Ben-Zion, Y., and D. J. Andrews. "Properties and implications of dynamic rupture along a material interface." Bulletin of the Seismological Society of America 88, no. 4 (August 1, 1998): 1085–94. http://dx.doi.org/10.1785/bssa0880041085.

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Abstract We perform two-dimensional plane-strain finite-difference calculations of dynamic rupture along an interface separating different elastic media. The calculations extend earlier results of Andrews and Ben-Zion (1997) who found a self-sustaining narrow slip pulse associated with dynamic reduction of normal stress along a material interface governed by constant friction, in agreement with Weertman (1980). The pulse propagates in a wrinklelike mode having remarkable dynamic properties that may be relevant to many geophysical phenomena. Here we examine the range of values of elastic parameters, friction coefficient, and strength heterogeneities allowing for the existence of the wrinklelike pulse. Rupture is initiated in the simulations by imposed slip in a limited space-time domain. Outside the region of the imposed slip, the pulse becomes narrower and higher with propagation distance along the interface. The strength of the wrinklelike pulse increases with S-wave velocity contrast up to a maximum at about 35% contrast. Beyond such a velocity contrast, there is no solution for a generalized Rayleigh wave along a material interface, and the strength of the pulse decreases. However, the wrinklelike pulse can still propagate in a self-sustaining manner for larger velocity contrasts. For a fixed S-wave velocity contrast, the strength has little dependence on density contrast or Poisson's ratio, but the pulse strength increases rapidly with increasing coefficient of friction. Stress and strength heterogeneities with small correlation length have little effect on the pulse, while long wavelength heterogeneities reduce the strength of the pulse. The high mechanical efficiency of the wrinklelike pulse suggests that earthquake ruptures may favor such mode of failure when possible.

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32

Krishna, Visakh V., Mats Berg, and Sebastian Stichel. "Tolerable longitudinal forces for freight trains in tight S-curves using three-dimensional multi-body simulations." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 5 (April 16, 2019): 454–67. http://dx.doi.org/10.1177/0954409719841794.

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With the need for increasing length of freight trains, the longitudinal train dynamics and its influence on the running safety become a key issue. Longitudinal train dynamics is a complex issue with contributions from both the vehicle and the operating conditions such as infrastructure design, braking regimes, etc. Standards such as the UIC Code 530-2 and EN-15839 detail the procedure for on-track propelling tests that should be conducted to determine the running safety of a single wagon. Also, it only considers a single S-curve and specifies neighbouring wagons and buffers. Hence, the resulting longitudinal train dynamics would not be able to judge the effects of various heterogeneities in the train formation such as the adjacent wagons, buffer types, carbody torsional stiffnesses, curvatures, etc. Here, there is a potential of using three-dimensional multi-body simulations to develop a methodology to judge the running safety of a train with regard to its longitudinal dynamic behaviour, subjected to various heterogeneities. In this study, a tool based on three-dimensional multi-body simulations has been developed to provide longitudinal compressive force limits and tolerable longitudinal compressive force for wagon combinations passing through S-curves of varying curvatures, and the sensitivities of the various heterogeneities present in the train are assessed. The methodology is applied to open wagons of the ‘Falns’ type on tight S-curves by calculating the corresponding tolerable longitudinal compressive force, and the effect of various parameters on the same is discussed.

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33

Colin, Rémy, Ahmed M. Alsayed, Cyprien Gay, and Bérengère Abou. "Questioning the relationship between the χ4 susceptibility and the dynamical correlation length in a glass former." Soft Matter 11, no. 46 (2015): 9020–25. http://dx.doi.org/10.1039/c5sm01480h.

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We investigate dynamic heterogeneities with both a four-point correlation function G₄ and its associated dynamical susceptibility χ₄, in dense suspensions of soft microgel particles.

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34

Alpak, Faruk O. "Quasiglobal Multiphase Upscaling of Reservoir Models With Nonlocal Stratigraphic Heterogeneities." SPE Journal 20, no. 02 (August 6, 2014): 277–93. http://dx.doi.org/10.2118/170245-pa.

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Summary Representing the complete spectrum of fine-scale stratigraphic details in full-field dynamic models of geologically complex clastic reservoirs is beyond the limits of existing computational capabilities. A quasiglobal multiphase upscaling method—the regional-scale multiphase upscaling (RMU) method—is developed, in which the dynamic effects of subgrid-scale (typically subseismic) nonlocal stratigraphic reservoir elements (e.g., channels, lobes, sand bars, and shale drapes) are captured by means of pseudofunctions for flow simulation. Unlike conventional dynamic multiphase upscaling methods, the RMU method does not require fine-resolution reservoir-scale simulations. Rather, it relies on intermediate-scale sector-model simulations for pseudoization. The intermediate scale, also referred to as the regional scale, is defined as the spatial scale at which the global multiphase flow effects of nonlocal stratigraphic elements can be approximated by fine-resolution flow simulations with reasonable accuracy. During the pseudoization process, dynamic multiphase flow responses of coarse regional-scale sector models are calibrated against those stemming from their corresponding fine-resolution parent models. Each regional-scale sector model is simulated only once at the fine geologic resolution. The process involves automatic determination and subsequent modification of the parameters that describe rock relative permeability and capillary pressure functions. Coarse regional-scale models are simulated a few times until a reasonable match between their coarse- and fine-resolution dynamic responses can be attained. The parameter-estimation step of the pseudoization process is performed by use of a very efficient constrained nonlinear optimization algorithm. The RMU method is evaluated in two proof-of-concept numerical examples involving a plethora of turbidite stratigraphic architectures. The method yields simulation results that are always more accurate than conventionally upscaled coarse-resolution model predictions. Incorporating geologically based pseudofunctions into otherwise simple coarse-resolution full-field reservoir models reduces the simulation cycle time significantly and improves the accuracy of production forecasts. The RMU method typically delivers two to three orders of magnitude in speed up of flow simulations.

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35

Chakrawal, Arjun, Anke M. Herrmann, John Koestel, Jerker Jarsjö, Naoise Nunan, Thomas Kätterer, and Stefano Manzoni. "Dynamic upscaling of decomposition kinetics for carbon cycling models." Geoscientific Model Development 13, no. 3 (March 23, 2020): 1399–429. http://dx.doi.org/10.5194/gmd-13-1399-2020.

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Abstract. The distribution of organic substrates and microorganisms in soils is spatially heterogeneous at the microscale. Most soil carbon cycling models do not account for this microscale heterogeneity, which may affect predictions of carbon (C) fluxes and stocks. In this study, we hypothesize that the mean respiration rate R‾ at the soil core scale (i) is affected by the microscale spatial heterogeneity of substrate and microorganisms and (ii) depends upon the degree of this heterogeneity. To theoretically assess the effect of spatial heterogeneities on R‾, we contrast heterogeneous conditions with isolated patches of substrate and microorganisms versus spatially homogeneous conditions equivalent to those assumed in most soil C models. Moreover, we distinguish between biophysical heterogeneity, defined as the nonuniform spatial distribution of substrate and microorganisms, and full heterogeneity, defined as the nonuniform spatial distribution of substrate quality (or accessibility) in addition to biophysical heterogeneity. Four common formulations for decomposition kinetics (linear, multiplicative, Michaelis–Menten, and inverse Michaelis–Menten) are considered in a coupled substrate–microbial biomass model valid at the microscale. We start with a 2-D domain characterized by a heterogeneous substrate distribution and numerically simulate organic matter dynamics in each cell in the domain. To interpret the mean behavior of this spatially explicit system, we propose an analytical scale transition approach in which microscale heterogeneities affect R‾ through the second-order spatial moments (spatial variances and covariances). The model assuming homogeneous conditions was not able to capture the mean behavior of the heterogeneous system because the second-order moments cause R‾ to be higher or lower than in the homogeneous system, depending on the sign of these moments. This effect of spatial heterogeneities appears in the upscaled nonlinear decomposition formulations, whereas the upscaled linear decomposition model deviates from homogeneous conditions only when substrate quality is heterogeneous. Thus, this study highlights the inadequacy of applying at the macroscale the same decomposition formulations valid at the microscale and proposes a scale transition approach as a way forward to capture microscale dynamics in core-scale models.

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36

Barnett, Matthew R., and Aiden G. Beer. "Nucleation of Recrystallization in Mg Alloys during and after Hot Working." Materials Science Forum 715-716 (April 2012): 96–101. http://dx.doi.org/10.4028/www.scientific.net/msf.715-716.96.

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Recrystallization nucleates at heterogeneities. The impact of this on local texture and stress-strain response in hot worked magnesium is considered in the present paper. Two aspects of bulge nucleation during dynamic recrystallization are considered.

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37

Saxena, Arushi, Eunseo Choi, Christine A. Powell, and Khurram S. Aslam. "Seismicity in the central and southeastern United States due to upper mantle heterogeneities." Geophysical Journal International 225, no. 3 (March 10, 2021): 1624–36. http://dx.doi.org/10.1093/gji/ggab051.

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SUMMARY Sources of stress responsible for earthquakes occurring in the Central and Eastern United States (CEUS) include not only far-field plate boundary forces but also various local contributions. In this study, we model stress fields due to heterogeneities in the upper mantle beneath the CEUS including a high-velocity feature identified as a lithospheric drip in a recent regional P-wave tomography study. We calculate velocity and stress distributions from numerical models for instantaneous 3-D mantle flow. Our models are driven by the heterogeneous density distribution based on a temperature field converted from the tomography study. The temperature field is utilized in a composite rheology, assumed for the numerical models. We compute several geodynamic quantities with our numerical models: dynamic topography, rate of dynamic topography, gravitational potential energy (GPE), differential stress, and Coulomb stress. We find that the GPE, representative of the density anomalies in the lithosphere, is an important factor for understanding the seismicity of the CEUS. When only the upper mantle heterogeneities are included in a model, differential and Coulomb stress for the observed fault geometries in the CEUS seismic zones acts as a good indicator to predict the seismicity distribution. Our modelling results suggest that the upper mantle heterogeneities and structure below the CEUS have stress concentration effects and are likely to promote earthquake generation at preexisting faults in the region’s seismic zones. Our results imply that the mantle flow due to the upper-mantle heterogeneities can cause stress perturbations, which could help explain the intraplate seismicity in this region.

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38

Holzmann, J., A. Appelhagen, and Ralf Ludwig. "Correlation of Static and Dynamic Heterogeneities in Supercooled Water by Means of Molecular Dynamics Simulations." Zeitschrift für Physikalische Chemie 223, no. 9 (October 2009): 1001–10. http://dx.doi.org/10.1524/zpch.2009.6065.

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39

Benzi, R., M. Sbragaglia, P. Perlekar, M. Bernaschi, S. Succi, and F. Toschi. "Direct evidence of plastic events and dynamic heterogeneities in soft-glasses." Soft Matter 10, no. 26 (2014): 4615. http://dx.doi.org/10.1039/c4sm00348a.

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40

Häberle, Uli, and Gregor Diezemann. "Kerr effect as a tool for the investigation of dynamic heterogeneities." Journal of Chemical Physics 124, no. 4 (January 28, 2006): 044501. http://dx.doi.org/10.1063/1.2148959.

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41

Cho, Bongsup P. "Dynamic Conformational Heterogeneities of Carcinogen-DNA Adducts and their Mutagenic Relevance." Journal of Environmental Science and Health, Part C 22, no. 2 (January 2004): 57–90. http://dx.doi.org/10.1081/lesc-200038217.

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42

Albertini, Gabriele, and David S. Kammer. "Off-fault heterogeneities promote supershear transition of dynamic mode II cracks." Journal of Geophysical Research: Solid Earth 122, no. 8 (August 2017): 6625–41. http://dx.doi.org/10.1002/2017jb014301.

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43

Zhao, Luanxiao, Yirong Wang, Qiuliang Yao, Jianhua Geng, Hui Li, Hemin Yuan, and De-hua Han. "Extended Gassmann equation with dynamic volumetric strain: Modeling wave dispersion and attenuation of heterogeneous porous rocks." GEOPHYSICS 86, no. 3 (April 27, 2021): MR149—MR164. http://dx.doi.org/10.1190/geo2020-0395.1.

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Sedimentary rocks are often heterogeneous porous media inherently containing complex distributions of heterogeneities (e.g., fluid patches and cracks). Understanding and modeling their frequency-dependent elastic and adsorption behaviors is of great interest for subsurface rock characterization from multiscale geophysical measurements. The physical parameter of dynamic volumetric strain (DVS) associated with wave-induced fluid flow is proposed to understand the common physics and connections behind known poroelastic models for modeling dispersion behaviors of heterogeneous rocks. We have derived the theoretical formulations of DVS for patchy saturated rock at the mesoscopic scale and cracked porous rock at microscopic grain scales, essentially embodying the wave-induced fluid-pressure relaxation process. By incorporating DVS into the classic Gassmann equation, a simple but practical “dynamic equivalent” modeling approach, the extended Gassmann equation, is developed to characterize the dispersion and attenuation of complex heterogeneous rocks at nonzero frequencies. Using the extended Gassmann equation, the effect of microscopic or mesoscopic heterogeneities with complex distributions on the wave dispersion and attenuation signatures can be captured. Our theoretical framework provides a simple and straightforward analytical methodology to calculate wave dispersion and attenuation in porous rocks with multiple sets of heterogeneities exhibiting complex characteristics. We also demonstrate that, with the appropriate consideration of multiple crack sets and complex fluid patches distribution, the modeling results can better interpret the experimental data sets of dispersion and attenuation for heterogeneous porous rocks.

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44

Osei Tutu, Anthony, Bernhard Steinberger, Stephan V. Sobolev, Irina Rogozhina, and Anton A. Popov. "Effects of upper mantle heterogeneities on the lithospheric stress field and dynamic topography." Solid Earth 9, no. 3 (May 16, 2018): 649–68. http://dx.doi.org/10.5194/se-9-649-2018.

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Abstract. The orientation and tectonic regime of the observed crustal/lithospheric stress field contribute to our knowledge of different deformation processes occurring within the Earth's crust and lithosphere. In this study, we analyze the influence of the thermal and density structure of the upper mantle on the lithospheric stress field and topography. We use a 3-D lithosphere–asthenosphere numerical model with power-law rheology, coupled to a spectral mantle flow code at 300 km depth. Our results are validated against the World Stress Map 2016 (WSM2016) and the observation-based residual topography. We derive the upper mantle thermal structure from either a heat flow model combined with a seafloor age model (TM1) or a global S-wave velocity model (TM2). We show that lateral density heterogeneities in the upper 300 km have a limited influence on the modeled horizontal stress field as opposed to the resulting dynamic topography that appears more sensitive to such heterogeneities. The modeled stress field directions, using only the mantle heterogeneities below 300 km, are not perturbed much when the effects of lithosphere and crust above 300 km are added. In contrast, modeled stress magnitudes and dynamic topography are to a greater extent controlled by the upper mantle density structure. After correction for the chemical depletion of continents, the TM2 model leads to a much better fit with the observed residual topography giving a good correlation of 0.51 in continents, but this correction leads to no significant improvement of the fit between the WSM2016 and the resulting lithosphere stresses. In continental regions with abundant heat flow data, TM1 results in relatively small angular misfits. For example, in western Europe the misfit between the modeled and observation-based stress is 18.3°. Our findings emphasize that the relative contributions coming from shallow and deep mantle dynamic forces are quite different for the lithospheric stress field and dynamic topography.

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45

Er-raiy, Aimad, Radouan Boukharfane, and Matteo Parsani. "Effects of Composition Heterogeneities on Flame Kernel Propagation: A DNS Study." Fluids 5, no. 3 (September 4, 2020): 152. http://dx.doi.org/10.3390/fluids5030152.

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In this study, a new set of direct numerical simulations is generated and used to examine the influence of mixture composition heterogeneities on the propagation of a premixed iso-octane/air spherical turbulent flame, with a representative chemical description. The dynamic effects of both turbulence and combustion heterogeneities are considered, and their competition is assessed. The results of the turbulent homogeneous case are compared with those of heterogeneous cases which are characterized by multiple stratification length scales and segregation rates in the regime of a wrinkled flame. The comparison reveals that stratification does not alter turbulent flame behaviors such as the preferential alignment of the convex flame front with the direction of the compression. However, we find that the overall flame front propagation is slower in the presence of heterogeneities because of the differential on speed propagation. Furthermore, analysis of different displacement speed components is performed by taking multi-species formalism into account. This analysis shows that the global flame propagation front slows down due to the heterogeneities caused by the reaction mechanism and the differential diffusion accompanied by flame surface density variations. Quantification of the effects of each of these mechanisms shows that their intensity increases with the increase in stratification’s length scale and segregation rate.

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Demontis, Pierfranco, Jorge Gulín-González, Marco Masia, Marco Sant, and Giuseppe B. Suffritti. "The interplay between dynamic heterogeneities and structure of bulk liquid water: A molecular dynamics simulation study." Journal of Chemical Physics 142, no. 24 (June 28, 2015): 244507. http://dx.doi.org/10.1063/1.4922930.

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Azimi, Majid, Seyed Sajad Mirjavadi, Abdel Magid Salem Hamouda, and Hesam Makki. "Heterogeneities in Polymer Structural and Dynamic Properties in Graphene and Graphene Oxide Nanocomposites: Molecular Dynamics Simulations." Macromolecular Theory and Simulations 26, no. 2 (January 3, 2017): 1600086. http://dx.doi.org/10.1002/mats.201600086.

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Roohnia, Mehran, and Loïc Brancheriau. "ORIENTATION AND POSITION EFFECTS OF A LOCAL HETEROGENEITY ON FLEXURAL VIBRATION FREQUENCIES IN WOODEN BEAMS." CERNE 21, no. 2 (June 2015): 339–44. http://dx.doi.org/10.1590/01047760201521021674.

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Studying the influence of defect on the dynamic behavior of wood in order to detect the local heterogeneities is of great importance in non-destructive testing of wood. The natural heterogeneities in wood are oriented in a volume. However, one-dimensional models are still used in dynamic characterization of wooden beams. The aim of this study was to experimentally investigate the effects of the orientation and position of an artificial defect on the flexural vibration frequencies. Different batches of Fagus orientalis specimens were drilled in the radial direction at five positions along the specimen. Dynamic tests in free flexural vibration were performed on the specimens before and after drilling both in the longitudinal-radial (LR) and longitudinal-tangential (LT) bending plan. The behavior in free flexural vibration was found to be different depending on the position and orientation of heterogeneity. When the drilling axis lies in the bending plane (LR), the weakening of frequency was maximal at the location of an antinode of vibration. On the contrary, the frequency offset was maximal in the place of a vibration node when the drilling axis was orthogonal to the bending plane (LT).

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Han, Xia, and Gaoyang Cai. "Dynamic Coopetition Strategies: The Impacts of Ex ante and Ex post Heterogeneities." Academy of Management Proceedings 2021, no. 1 (August 2021): 10774. http://dx.doi.org/10.5465/ambpp.2021.10774abstract.

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Bideau, Daniel, and Roger Hékinian. "A dynamic model for generating small-scale heterogeneities in ocean floor basalts." Journal of Geophysical Research: Solid Earth 100, B6 (June 10, 1995): 10141–62. http://dx.doi.org/10.1029/94jb03102.

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