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Marco Dentz

Publications and source records attributed to Marco Dentz.

At least 19 recordsLinked to original sources

A dual network approach to connect structure and flow in random networks

Flows in random networks are known to exhibit heavy-tailed statistics, giving rise to anomalous transport in a range of biological, environmental and engineered systems. Yet, how structure determines flow remains an open question. Here we derive a dual network approach that relates flow statistics and network properties. Conditional statistics in a range of networks reveal the existence of two interlaced subnetworks with distinct hydraulic behaviors. Based on this hidden structure, we derive a universal analytical approach that predicts heavy-tailed flow statistics based on network topology and disorder distribution across a range of random networks.

cond-mat.soft

Dynamics of fluid-fluid displacements in a model rough fracture beyond the quasistatic limit: A spectral approach

In fluid-fluid displacements in porous and fractured materials, viscous friction in microscale interfacial (Haines) jumps is intimately linked to macroscale energy dissipation and the associated pressure-saturation (retention) hysteresis. The mode of control (flow rate vs. pressure) and the driving rate (from quasistatic to finite) can substantially affect hysteresis. Despite the significance of hysteresis and dissipation in various technological and natural processes, a quantitative understanding of the link between the micro- and macro-scales, and of the impact of the inherent heterogeneity of porous media, remains elusive. An ``imperfect'' Hele-Shaw cell of variable aperture is a simple model system which allows to study all these in details. However, simulating fluid-fluid interface evolution in heterogeneous media, even in such a simple system, is computationally prohibitive, as multiple length and time scales need to be resolved simultaneously. We develop here a spectral computational approach for interface evolution and energy dissipation and validate it via comparison to computational fluid dynamics simulations and experiments. Computational efficiency is demonstrated by following interface evolution in a cell with a single ``defect'', as well as with random roughness; in both, disparate length scales lead to nontrivial dynamics over many orders of magnitude in time. We also show theoretically that while viscous forces during Haines jumps fully account for the energy dissipated between consecutive metastable equilibria, viscosity does not change the total dissipated amount, merely the relaxation time. Our approach provides a stepping stone towards upscaling of fluid-fluid flows in porous media.

physics.flu-dyn

Laminar and Turbulent Flow in Wavy Pipes under Strong Wall Modulations

We study laminar, transitional and turbulent flow in wavy pipes using direct numerical simulations for bulk Reynolds numbers between 1-5300. Flow behaviors are analyzed in terms of the friction factor f and mean velocity statistics for strong sinusoidal wall fluctuations in axial direction. Depending on the wall amplitude k, flow reversal may appear at bulk Reynolds numbers as small as 25, inducing local recirculation zones significantly increasing friction in the laminar regime. These effects are not captured by classical models based on bulk geometric parameters, but require the definition of an effective hydraulic radius Rh as a hydrodynamic concept. Furthermore, wall modulations trigger subcritical transitions to turbulence in a Reynolds range between 500 and 1000, well below the classical threshold for smooth pipes. The DNS data suggest an upper bound for laminar persistence with a critical Reynolds number that scales as a power-law with the wall amplitude, consistent with finite amplitude transition scenarios. In the turbulent regime, flow is found to be fully rough, dominated by inertial separation and wall-induced disturbances independent of Re. Using the hydraulic radius as the characteristic length scale, the wall amplitude provides a robust estimator for the equivalent sandgrain roughness, also a hydrodynamic concept. The impact of strong wall fluctuations on laminar and turbulent friction laws, as quantified by hydraulic radius and sandgrain roughness , and the amplitude dependence of critical Reynolds number, emphasise the limitations of the Moody diagram for the flow quantification in conduits with strong wall fluctuations across all flow regimes.

physics.flu-dyn

Stochastic Modeling and Upscaling of Hydrodynamic Transport in Geological Fractures

Characterizing hydrodynamic transport in fractured rocks is essential for carbon storage and geothermal energy production. Multiscale heterogeneities lead to anomalous solute transport, featuring breakthrough curve (BTC) tailing and nonlinear growth of plume spatial moments. We focus on purely advective transport within synthetic geological fractures with prescribed relative closure $\sigma_a/\langle a \rangle$ and correlation length $L_\mathrm{c}$. We adopt a stochastic approach with multiple fracture realizations for each set of geometric parameters. Steady-state depth-averaged Stokes flow is solved under the lubrication approximation. Flow heterogeneity is organized over the correlation length $L_\mathrm{c}$. The ensemble-averaged velocity PDFs are insensitive to $L_\mathrm{c}$ but strongly influenced by $\sigma_a/\langle a \rangle$, particularly their low-velocity power-law scaling. A time-domain random walk (TDRW) simulation is used to compute plume spatial moments and outlet BTCs. The mean longitudinal plume position scales linearly with time at both early and late stages. The variance shows ballistic scaling at early times and a late-time behavior controlled by the low-velocity power law of the velocity PDF, with exponent $\alpha$ strongly influenced by $\sigma_a/\langle a \rangle$. The properties of the BTCs are also controlled by $\alpha$, including the broadening of the peak as $\sigma_a/\langle a \rangle$ increases, and the scaling of the power-law tails. Advective transport is also modeled using a one-dimensional continuous-time random walk (CTRW) that relies only on the velocity PDF, flow tortuosity, and flow correlation length. The CTRW reproduces the TDRW results and provides analytical predictions for the asymptotic transport scalings.

physics.flu-dyn

Fluid Deformation in Random Unsteady Flow

Fluid deformation controls myriad processes in random flows including mixing and dispersion, stress development in complex fluids, colloid transport and deposition, droplet breakup and emulsification, fluid-structure interaction, chemical reactions and biological activity. Despite this, fundamental aspects are not well understood, including the link between the Lagrangian velocity gradient tensor $\boldsymbol\epsilon$ and deformation measures such as Lyapunov exponents ($\lambda_{\infty,i}$), their finite-time counterparts (FTLEs) and the right Cauchy-Green tensor $\mathbf{C}$. We address these knowledge gaps by developing an \emph{ab initio} stochastic model of fluid deformation in ergodic and stationary random unsteady flows. We show that although the Lagrangian velocity process is non-Markovian and non-Fickian, temporal decorrelation in unsteady random flows results in Fickian evolution of $\boldsymbol\epsilon$. Application of an objective coordinate transform renders $\boldsymbol\epsilon^\prime$ upper triangular, the basis vectors of which exponentially converge to Lyapunov vectors. As such, the diagonal components of $\boldsymbol\epsilon^\prime$ correspond to increments of the Lyapunov spectra, while the off-diagonal components objectively quantify shear and vorticity. This leads to a stochastic model of Lagrangian fluid deformation as a simple Brownian process that provides a direct link between $\boldsymbol\epsilon^\prime$ and fluid deformation. We develop closed-form expressions for the evolution of $\mathbf{C}$ and the FTLEs, and apply the stochastic model to numerical results for a model 2D unsteady flow and 3D forced homogeneous isotropic turbulence, returning excellent agreement with direct calculations of deformation measures.

physics.flu-dyn

Flow induced intermittent transport shapes colloid filtration in complex media

The macroscopic phenomenon of filtration is the separation between suspended and liquid phases and it takes place in natural environments (e.g. groundwater, soil, hyporheic zone) and industrial systems (e.g. filtration plants, pharmaceutical industry, hospital care). Porous materials represent excellent filters since they are characterized by a large solid surface to which flowing particles can attach and be retained. Colloidal filtration by porous media is governed by a complex interplay between transport dynamics through intricate pore structures and surface-mediated retention. Yet, classical approaches fail to capture key properties (such as filter spatial heterogeneity) and experimental observations--e.g. non-exponential deposition profiles. A key limitation of such approaches lies in the assumption that particle attachment to solid surfaces occurs at a constant rate over a given length scale, neglecting the intrinsic heterogeneity of the medium, i.e. pore size variability. Here, we develop a multiscale microfluidic model system to directly observe colloidal transport and deposition over more than three orders of magnitude in length--from tens of microns to a meter--within a porous architecture with controlled heterogeneity. By tracking individual colloidal particles within the pores, we reveal intermittent dynamics along each trajectory: particles alternate between long-range "flights" through pore channels and short-range localized "dives" near grain surfaces. During the dives, attachment can occur at a constant rate, but the distributed flight sizes, during which attachment cannot occur, produce anomalous filtration. This is quantified by deposition profiles and breakthrough curves. A stochastic model based on a continuous time random walk (CTRW), constrained by experimental data, captures this behavior and links pore structure with macroscopic filtration.

physics.flu-dyn

Line Stretching in Random Flows

How finite-sized material lines stretch in chaotic (mono-scale) and turbulent (multi-scale) flows remains a central but unresolved problem that governs mixing, transport and reaction. We show elongation is controlled by a finite-sampling process balancing ensemble and temporal averaging that is mediated by particle dispersion. These results expose the rich dynamics of line stretching and compel reassessment of experimental data and models of fluid-borne phenomena.

physics.flu-dyn

openKARST: A novel open-source flow simulator for karst systems

We introduce the open-source Python-based code openKARST for flow in karst conduit networks. Flow and transport in complex karst systems remain a challenging area of hydrogeological research due to the heterogeneous nature of conduit networks. Flow regimes in these systems are highly dynamic, with transitions from free-surface to fully pressurized and laminar to turbulent flow conditions and Reynolds numbers often exceeding one million. These transitions can occur simultaneously within a network, depending on conduit roughness properties and diameter distributions. openKARST solves the transient dynamic wave equation using an iterative scheme and is optimized through an efficient vectorized structure. Transitions from free-surface to pressurized flows in smooth and rough circular conduits are realized via a Preissmann slot approach in combination with an implementation of the Darcy--Weisbach and Manning equations to compute friction losses. To mitigate numerical fluctuations commonly encountered in the Colebrook--White equation, the dynamic switching from laminar to turbulent flows is modeled with a continuous Churchill formulation for the friction factor computation. openKARST supports common boundary conditions encountered in karst systems, as and includes functionalities for network import, export and visualization. The code is verified via comparison against several analytical solutions and validated against a laboratory experiment. Finally, we demonstrate the application of openKARST by simulating a synthetic recharge event in one of the largest explored karst networks, the Ox Bel Ha system in Mexico.

physics.flu-dyn

Tidal fluctuations and spatial heterogeneity lead to trapping and chaotic mixing in coastal aquifers

The combined effect of tidal forcing and aquifer heterogeneity leads to intricate transport patterns in coastal aquifers that impact both on solute residence times and mixing dynamics. We study these patterns through detailed numerical simulations of density-dependent flow and transport in a three-dimensional heterogeneous coastal aquifer under tidal forcing. Advective particle tracking from both the freshwater and seawater domains reveals the formation of chaotic and periodic orbits in the freshwater-saltwater transition zone that may persistently trap contaminants. We find that increasing heterogeneity results in increased trapping, but also increased mixing entropy, which suggests that the chaotic orbits enhance mixing between contaminants from the freshwater and seawater domains. These findings highlight on the one hand, the long-term contamination risks of coastal aquifers through trapping, and on the other hand, the creation of hotspots for chemical and biological reactions through chaotic mixing in the transition zone.

physics.flu-dyn

Turbulent Pipe Flow of Thixotropic Fluids

Complex materials with internal microstructure such as suspensions and emulsions exhibit time-dependent rheology characterized by viscoelasticity and thixotropy. In many large-scale applications such as turbulent pipe flow, the elastic response occurs on a much shorter timescale than the thixotropy, hence these flows are purely thixotropic. The fundamental dynamics of thixotropic turbulence is poorly understood, particularly the interplay between microstructural state, rheology, and turbulence structure. To address this gap, we conduct direct numerical simulations (DNS) of fully developed turbulent pipe flow of a model thixotropic (Moore) fluid over a range of thixoviscous numbers $\Lambda$ from slow ($\Lambda\ll 1$) to fast ($\Lambda\gg 1$) thixotropic kinetics relative to the eddy turnover time. Analysis of DNS results in the Lagrangian frame shows that, as expected, in the limits of slow and fast kinetics, these time-dependent flows behave as time-independent purely viscous (generalized Newtonian) analogues. For intermediate kinetics ($\Lambda\sim 1$), the rheology is governed by a \emph{path integral} of the thixotropic fading memory kernel over the distribution of Lagrangian shear history, the latter of which is modelled via a simple stochastic model for the radially non-stationary pipe flow. DNS computations based on this effective viscosity closure exhibit excellent agreement (within 2.4\% error) with the fully thixotropic model for $\Lambda=1$, indicating that the purely viscous (generalized Newtonian) analogue persists for arbitrary values of $\Lambda\in[0,\infty^+)$ and across nonlinear rheology models. These results uncover the feedback mechanisms between microstructure, rheology, and turbulence and offer fundamental insights into the structure of thixotropic turbulence.

physics.flu-dyn

Efficient pore space characterization based on the curvature of the distance map

Media classification and the construction of pore network models from binary images of porous media hinges on accurately characterizing the pore space. We present an efficient method for (i) locating critical points, that is, pore body and throat centers, and (ii) partitioning of the pore space using information on the curvature of the distance map (DM) of the binary image. Specifically, we use the local maxima and minima of the determinant map of the Hessian matrix of the DM to locate the center of pore bodies and throats. The locating step provides structural information on the pore system, such as pore body and throat size distributions and the mean coordination number. The partitioning step is based on the eigenvalues of the Hessian, rather than the DM, to characterize the pore space using either watershed or medial axis transforms. This strategy eliminates the common problem of saddle-induced over-partitioning shared by all traditional marker-based watershed methods and represents an efficient method to determine the skeleton of the pore space without the need for morphological reconstruction.

physics.geo-ph

Is Chaotic Advection Inherent to Heterogeneous Darcy Flow?

At all scales, porous materials stir interstitial fluids as they are advected, leading to complex distributions of matter and energy. Of particular interest is whether porous media naturally induce chaotic advection at the Darcy scale, as these stirring kinematics profoundly impact basic processes such as solute transport and mixing, colloid transport and deposition and chemical, geochemical and biological reactivity. While many studies report complex transport phenomena characteristic of chaotic advection in heterogeneous Darcy flow, it has also been shown that chaotic dynamics are prohibited in a large class of Darcy flows. In this study we rigorously establish that chaotic advection is inherent to steady 3D Darcy flow in all realistic models of heterogeneous porous media. Anisotropic and heterogenous 3D hydraulic conductivity fields generate non-trivial braiding of stream-lines, leading to both chaotic advection and (purely advective) transverse dispersion. We establish that steady 3D Darcy flow has the same topology as unsteady 2D flow, and so use braid theory to establish a quantitative link between transverse dispersivity and Lyapunov exponent in heterogeneous Darcy flow. We show that chaotic advection and transverse dispersion occur in both anisotropic weakly heterogeneous and in heterogeneous weakly anisotropic conductivity fields, and that the quantitative link between these phenomena persists across a broad range of conductivity anisotropy and heterogeneity. The ubiquity of macroscopic chaotic advection has profound implications for the myriad of processes hosted in heterogeneous porous media and calls for a re-evaluation of transport and reaction methods in these systems.

physics.flu-dyn

Singular Value Decomposition for Single-Phase Flow and Cluster Identification in Heterogeneous Pore Networks

Pore networks play a key role in understanding and quantifying flow and transport processes in complex porous media. Realistic pore-spaces may be characterized by singular regions, i.e., isolated subnetworks that do not connect inlet and outlet, resulting from unconnected porosity or multiphase configurations. The robust identification of these features is critical for the characterization of network topology and the solution of the set of linear equations of flow and transport. We propose a robust method based on singular value decomposition to solve for network flow and locate isolated subnetworks simultaneously. The method's performance is demonstrated for networks of different complexity.

physics.geo-ph

Dispersion and mixing in heterogeneous compressible porous media under transient forcing

Periodic forcing of flow in compressible porous media is an important driver for solute dispersion and mixing in geological and engineered porous media subject for example to tides, pumping and recharge cycles, or fluid injection and withdrawal cycles with a wide range of environmental and industrial applications. The combination of periodic forcing, spatial medium heterogeneity and medium compressibility leads to intricate spatio-temporal flow, dispersion and mixing patterns. We analyze these patterns using detailed numerical simulations based on a stochastic representation of the spatial medium heterogeneity. Solute dispersion is characterized by the interface length and width, mixing in terms of the dilution index and the distribution of concentration point values. Poincaré maps show how the interplay of heterogeneity and compressibility leads to the creation of stable regions that inhibit the advancement and dispersion of the mixing interface, and chaotic regions that at the same time enhance solute mixing. This means that spatial heterogeneity in combination with temporal forcing can lead to the containment of solute and at the same time promote mixing.

physics.flu-dyn

Pore network models to determine flow statistics and structural controls in variably saturated porous media

Conceptualizing a porous media as a network of conductors sets a compromise between the oversimplifying conceptualization of the media as a bundle of capillary tubes and the computationally expensive and unobtainable detailed description of the media's geometry needed for direct numerical simulations. These models are abundantly being used to evaluate single and multiphase flow characteristics. The different flow characteristics are valuable in evaluating phenomena that may or may not be relevant for different applications. Here, we evaluate how different information about the pore space affects the ability of the network model to evaluate different flow characteristics.

physics.flu-dyn

The impact of microscale physics in continuous time random walks for hydrodynamic dispersion in disordered media

The continuous time random walk (CTRW) approach has been widely applied to model large-scale non-Fickian transport in the flow through disordered media. Often, the underlying microscopic transport mechanisms and disorder characteristics are not known, and their effect on large-scale solute dispersion is encoded by a heavy-tailed transition time distribution. Here we study how the microscale physics manifests in the CTRW framework, and how it affects solute dispersion. To this end, we consider transport in disordered media with random sorption and random flow properties. Both disorder mechanisms can give rise to anomalous particle transport. We present the CTRW models corresponding to each of these physical scenarios to discuss the different manifestations of microscale heterogeneity on large-scale dispersion depending on the particle injection modes. The combined impact of random sorption and advection is studied with a novel CTRW model that explicitly represents both microscale disorder mechanisms. While random advection and sorption may show similar large-scale transport behaviors, they can be clearly distinguished in their response to uniform injection conditions, and, in general, to initial particle distributions that are not flux-weighted. These findings highlight the importance of the microscale physics for the interpretation and prediction of anomalous dispersion phenomena in disordered media.

physics.flu-dyn

Emergence of dissipation and hysteresis from interactions among reversible, non-dissipative units: The case of fluid-fluid interfaces

We examine the nonequilibrium nature of two-phase fluid displacements in a quasi-two-dimensional medium (a model open fracture), in the presence of localized constrictions ("defects"), from a theoretical and numerical standpoint. Our analysis predicts the capillary energy dissipated in abrupt interfacial displacements (jumps) across defects, and relates it to the corresponding hysteresis cycle, e.g. in pressure-saturation. We distinguish between "weak" (reversible interface displacement, exhibiting no hysteresis and dissipation) and "strong" (irreversible) defects. We expose the emergence of dissipation and irreversibility caused by spatial interactions, mediated by interfacial tension, among otherwise weak defects. We exemplify this cooperative behavior for a pair of weak defects and establish a critical separation distance, analytically and numerically, verified by a proof-of-concept experiment.

physics.flu-dyn

Solute mixing, dynamic uncertainty and effective dispersion in two-dimensional heterogeneous porous media

We study the mixing dynamics of a solute that is transported by advection and dispersion in a heterogeneous Darcy scale porous medium. We quantify mixing and dynamic uncertainty in terms of the mean squared solute concentration and the concentration variance. The latter measures the degree of mixing of the solute and at the same time the uncertainty around the mean concentration. Its evolution is controlled by the creation of concentration fluctuations due to solute spreading and its destruction by local dispersion. For moderate heterogeneity, this interplay can be quantified by using apparent and effective dispersion coefficients. For increasing heterogeneity we find deviations from the predicted behavior. In order to shed light on these behaviors and separate solute mixing and spreading, we decompose the solute plume into partial plumes, transport Green functions, and analyze their dynamics relative to those of the whole plume. This reveals that the variability in the dispersive scales of the Green functions in the plume and their interactions due to the strong focusing of preferential flow paths play an important role in highly heterogeneous porous media.

physics.flu-dyn