Skip to main content Accessibility help
×
Home
Hostname: page-component-78dcdb465f-vzs5b Total loading time: 0.552 Render date: 2021-04-15T17:43:30.497Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": false, "newCiteModal": false, "newCitedByModal": true }

Fluid deformable surfaces

Published online by Cambridge University Press:  04 September 2019

A. Voigt
Affiliation:
Department of Mathematics, Technische Universität Dresden, 01062 Dresden, Germany Center of Systems Biology Dresden (CSBD), Pfotenhauerstr. 108, 01307 Dresden, Germany Cluster of Excellence Physics of Life (PoL), Tatzberg 47/49, 01307 Dresden, Germany
Corresponding
E-mail address:
Rights & Permissions[Opens in a new window]

Abstract

Lipid membranes are examples of fluid deformable surfaces, which can be viewed as two-dimensional viscous fluids with bending elasticity. With this solid–fluid duality any shape change contributes to tangential flow and vice versa any tangential flow on a curved surface induces shape deformations. This tight coupling between shape and flow makes curvature a natural element of the governing equations. The modelling and numerical tools outlined in Torres-Sánchez et al. (J. Fluid Mech., vol. 872, 2019, pp. 218–271) open a new field of study by enabling the exploration of the role of curvature in this context.

Type
Focus on Fluids
Copyright
© 2019 Cambridge University Press 

1 Introduction

Fluid deformable surfaces are ubiquitous interfaces in biology, playing an essential role in processes from the subcellular to the tissue scale. For instance, lipid membranes are fluidic thin sheets that define the boundaries of cells and compartmentalize them. From a mechanical point of view, lipid membranes are soft materials exhibiting a solid–fluid duality: while they store elastic energy when stretched or bent, like solid shells, they cannot do so under in-plane shear, a situation under which they flow as two-dimensional, viscous fluids. These two features, out-of-plane elasticity and interfacial viscosity, have often been examined separately. Mechanical equilibrium can essentially be understood with the classical bending model of Helfrich (Reference Helfrich1973) and the modelling of the hydrodynamics of fluid films goes back to Scriven (Reference Scriven1960). Based on Onsager’s variational formalism Torres-Sánchez, Millán & Arroyo (Reference Torres-Sánchez, Millán and Arroyo2019a ) derive a first approximation to the dynamics of lipid membranes by combining bending and surface hydrodynamics. Omitting inertial effects, the derived equations correspond to the force and torque balance equations and the constitutive laws postulated in Salbreux & Jülicher (Reference Salbreux and Jülicher2017) as well as the thin-film limit of the corresponding bulk model equations in Nitschke, Reuther & Voigt (Reference Nitschke, Reuther and Voigt2019). The major contribution of Torres-Sánchez et al. (Reference Torres-Sánchez, Millán and Arroyo2019a ) is not only a systematic and transparent way to derive the governing equations in the fully nonlinear regime, but also a computational framework for these equations which goes beyond previously studied axisymmetric settings (Arroyo & DeSimone Reference Arroyo and DeSimone2009). Thus, the tight coupling between tangent flows and shape changes in the presence of curvature can for the first time be explored in its full beauty. Any shape change contributes to strains and so must be accompanied by a tangent flow and vice versa, tangential flows on curved surfaces induce shape deformations. This coupling makes curvature a natural element of the governing equations of fluid deformable surfaces. This pioneering exploration of the role of curvature is made possible with the modelling and numerical tools outlined in Torres-Sánchez et al. (Reference Torres-Sánchez, Millán and Arroyo2019a ).

2 Overview

Besides their excellent overview of the subject, Torres-Sánchez et al. (Reference Torres-Sánchez, Millán and Arroyo2019a ) make three main contributions: they use Onsager’s variational formalism to derive equations in a thermodynamically consistent way, they apply an arbitrary Lagrangian–Eulerian (ALE) formulation for their numerical solution and they consider various applications, with models and simulations which surpass previous approaches.

It is a challenging task to derive governing equations which couple shape evolution and surface flow in a thermodynamically consistent way. In contrast to scalar quantities, where the transport theorem provides all the necessary tools to transport them on an evolving surface, such tools do not exist for vector quantities, like the tangential velocity field. A componentwise interpretation, a concept we are used to in flat space, does not make sense on a curved surface. There are various options to mathematically define a directional derivative on an evolving surface, each with a different physical meaning, either more appropriate for solids or for fluids. The derivation of the equations using variational methods requires, e.g. to vary the underlying energy with respect to shape changes, while considering the surface quantity, here the tangential velocity, as an independent variable. The definition of the directional derivative is key to this approach and needs to be considered carefully given the solid–fluid duality of lipid membranes. Although Torres-Sanchez et al. also have to deal with this issue, they consider a more abstract setting, a nonlinear Onsager formalism; see Doi (Reference Doi2011), Mielke (Reference Mielke2012) and Arroyo et al. (Reference Arroyo, Walani, Torres-Sanchez, Kaurin and Steigmann2018). This provides a unified variational framework for the dissipative dynamics of soft matter systems, where the dynamics minimizes a Rayleighian functional and results from the interplay between energetic driving forces, dissipative drag forces and external forces, each of them deriving from potentials that are the sum of individual contributions for each physical mechanism. This formalism is ideally suited for complex multiphysics problems, because new components can simply be added term by term to the energy and dissipation potentials together with their interaction. Also constraints can be added in a natural way using Lagrange multipliers. As long as inertial effects can be neglected, the nonlinear Onsager formalism is certainly the most systematic and transparent way to derive such nonlinearly coupled systems of equations.

The derived set of equations contains surface-vector-valued partial differential equations (PDE), e.g. the surface Stokes equation with the tangential velocity field as an unknown. Again, tools used for scalar quantities cannot be applied to each component, as would be appropriate in flat space, and new numerical methods are required. Torres-Sánchez et al. (Reference Torres-Sánchez, Millán and Arroyo2019a ) circumvent this problem by considering a vorticity–streamfunction approach, which transforms the problem into a set of scalar-valued PDEs for which various numerical approaches have been developed; see Dziuk & Elliott (Reference Dziuk and Elliott2013) for an overview. As also mentioned in Torres-Sánchez et al. (Reference Torres-Sánchez, Millán and Arroyo2019a ), this restricts applicability to simply connected surfaces, as otherwise the tangential velocity field contains, in addition to irrotational and solenoidal components, non-trivial harmonic vector fields that cannot be represented by the vorticity, see Nitschke, Reuther & Voigt (Reference Nitschke, Reuther, Voigt, Bothe and Reusken2017) for an example. For general surfaces a direct approach using velocity and pressure as unknowns is required. One idea to deal with tangential velocity fields is to consider non-tangential fields on the surface and impose tangentiality through constraints; see Fries (Reference Fries2018), Reuther & Voigt (Reference Reuther and Voigt2018) for a finite element realization for surface Navier–Stokes equations. The concept is extended to general surface vector and tensor fields in Nestler, Nitschke & Voigt (Reference Nestler, Nitschke and Voigt2019). Another approach to solve surface vector- and tensor-valued PDEs is considered in Torres-Sánchez, Santos-Olivan & Arroyo (Reference Torres-Sánchez, Santos-Olivan and Arroyo2019b ), which is based on a local Monge parameterization and does not required any additional degrees of freedom in the normal direction. Numerical analysis results needed for both approaches, and moreover a comparison in terms of stability, computational cost and implementational effort, do not yet exist. However, all these approaches, including that for scalar-valued PDEs, require a surface mesh that evolves in time. As for bulk problems on evolving domains, it proves computationally efficient to consider a mesh velocity which is different from the interpolated material velocity, as the additional freedom can be used to obtain beneficial mesh properties; see, e.g. Elliott & Styles (Reference Elliott and Styles2012) and Elliott & Venkataraman (Reference Elliott and Venkataraman2014). The ALE formulation in Torres-Sánchez et al. (Reference Torres-Sánchez, Millán and Arroyo2019a ) is related to these approaches, and leads to similar conclusions.

With a view to applications, the model of lipid membranes as a viscous fluid with bending elasticity is extended to the Seifert–Langer model (Seifert & Langer Reference Seifert and Langer1993), which accounts for the bilayer structure of the membrane by including stretching elasticity and lipid density on each layer. The ALE approach is well suited for this model, as it allows resolution of the density of both layers on the same mesh. A third model considers a viscous layer which is driven by active tension and an additional cortical density. The numerical examples considered show the relaxation dynamics from shape or density perturbations and in the last example, migration as a result of self-polarization. In all cases the solid–fluid duality of the system and the role of curvature in the coupling of shape changes and surface flow are highlighted, and the applicability of the ALE approach to solve the derived models is demonstrated.

3 Future

Torres-Sánchez et al. (Reference Torres-Sánchez, Millán and Arroyo2019a ) outline the modelling and numerical tools to study fluid deformable surfaces and explore the role of curvature in the interaction between shape changes and flow properties. The same framework could be used to consider the interaction with chemistry, where a notable example is curving proteins, which can diffuse and absorb/dissorb. Such interaction is involved in the morphogenesis of organelle; see, e.g. Shibata et al. (Reference Shibata, Hu, Kozlov and Rapoport2009) and Le Roux et al. (Reference Le Roux, Quiroga, Walani, Arroyo and Roca-Cusachs2019). Although these couplings have so far only been explored in passive systems, the most promising applications are found in active systems, where the tools outlined provide opportunities to study the dynamics of self-organized active surfaces. Modelling the cellular cortex or epithelia sheets with these tools paves the way towards an exploration of the regulatory role of curvature in morphogenetic processes. While first steps in this direction have already been considered for axisymmetric settings (Mietke, Jülicher & Sbalzarini Reference Mietke, Jülicher and Sbalzarini2019), primarily applicable to the fruit fly Drosophila, developmental processes in other organisms deviate from axisymmetric shapes at early times and require more general tools. Besides these new applications for fluid mechanics, new challenges can also be found in the numerical analysis of the proposed and related algorithms (Sahu et al. Reference Sahu, Omar, Sauer and Mandadapu2018; Nestler et al. Reference Nestler, Nitschke and Voigt2019), and benchmark problems for fluid deformable surfaces would be valuable to further develop the field.

References

Arroyo, M. & DeSimone, A. 2009 Relaxation dynamics of fluid membranes. Phys. Rev. E 79, 031915.Google ScholarPubMed
Arroyo, M., Walani, N., Torres-Sanchez, A. & Kaurin, D. 2018 Onsager’s variational principle in soft matter: introduction and application to the dynamics of adsorption of proteins onto fluid membranes. In Role of Mechanics in the Study of Lipid Bilayers (ed. Steigmann, D. J.), pp. 287332. Springer.CrossRefGoogle Scholar
Doi, M. 2011 Onsager’s variational principle in soft matter. J. Phys.: Condens. Matter 23, 284118.Google ScholarPubMed
Dziuk, G. & Elliott, C. M. 2013 Finite element methods for surface PDEs. Acta Numerica 22, 289396.CrossRefGoogle Scholar
Elliott, C. M. & Styles, V. 2012 An ALE ESFEM for solving PDEs on evolving surfaces. Milan J. Math. 80, 469501.CrossRefGoogle Scholar
Elliott, C. M. & Venkataraman, C. 2014 Error analysis for an ALE evolving surface finite element method. Numer. Meth. Part. Differ. Equ. 31, 459499.CrossRefGoogle Scholar
Fries, T.-P. 2018 Higher-order surface FEM for incompressible Navier–Stokes flows on manifolds. Intl J. Numer. Meth. Fluids 88, 5578.CrossRefGoogle Scholar
Helfrich, W. 1973 Elastic properties of lipid bilayers: theory and possible experiments. Z. Naturforsch. 28, 693703.CrossRefGoogle ScholarPubMed
Le Roux, A.-L., Quiroga, X., Walani, N., Arroyo, M. & Roca-Cusachs, P. 2019 The plasma membrane as a mechanochemical transducer. Phil. Trans. B 374, 20180221.Google ScholarPubMed
Mielke, A. 2012 Thermomechanical modeling of energy–reaction–diffusion systems, including bulk-interface interactions. Discr. Contin. Dyn. Syst. 6, 479499.Google Scholar
Mietke, A., Jülicher, F. & Sbalzarini, I. F. 2019 Self-organized shape dynamics of active surfaces. Proc. Natl Acad. Sci. USA 116, 2934.CrossRefGoogle ScholarPubMed
Nestler, M., Nitschke, I. & Voigt, A. 2019 A finite element approach for vector- and tensor-valued surface PDEs. J. Comput. Phys. 389, 4861.CrossRefGoogle Scholar
Nitschke, I., Reuther, S. & Voigt, A. 2017 Discrete exterior calculus (DEC) for the surface Navier–Stokes equation. In Transport Processes at Fluidic Interfaces (ed. Bothe, D. & Reusken, A.), pp. 177197. Springer.CrossRefGoogle Scholar
Nitschke, I., Reuther, S. & Voigt, A. 2019 Hydrodynamic interactions in polar liquid crystals on evolving surfaces. Phys. Rev. Fluids 4, 044002.CrossRefGoogle Scholar
Reuther, S. & Voigt, A. 2018 Solving the incompressible surface Navier–Stokes equation by surface finite elements. Phys. Fluids 30, 012107.CrossRefGoogle Scholar
Sahu, A., Omar, Y. A. D., Sauer, R. A. & Mandadapu, K. K.2018 Arbitrary Lagrangian–Eulerian finite element method for curved and deforming surfaces. I. General theory and application to fluid interfaces. arXiv:1812.05086.Google Scholar
Salbreux, G. & Jülicher, F. 2017 Mechanics of active surfaces. Phys. Rev. E 96, 032404.Google ScholarPubMed
Scriven, L. E. 1960 Dynamics of a fluid interface equation of motion for Newtonian surface fluids. Chem. Engng Sci. 12, 98108.CrossRefGoogle Scholar
Seifert, U. & Langer, S. A. 1993 Viscous modes of fluid bilayer-membranes. Europhys. Lett. 23, 7176.CrossRefGoogle Scholar
Shibata, Y., Hu, J., Kozlov, M. M. & Rapoport, T. A. 2009 Mechanisms shaping the membrane of cellular organelles. Annu. Rew. Cell Devel. Biol. 25, 329354.CrossRefGoogle ScholarPubMed
Torres-Sánchez, A., Millán, D. & Arroyo, M. 2019a Modelling fluid deformable surfaces with an emphasis on biological interfaces. J. Fluid Mech. 872, 218271.CrossRefGoogle Scholar
Torres-Sánchez, A., Santos-Olivan, D. & Arroyo, M.2019b Approximation of tensor fields on surfaces of arbitrary topology based on local Monge parametrizations. arXiv:1904.06390.CrossRefGoogle Scholar

Full text views

Full text views reflects PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views.

Total number of HTML views: 158
Total number of PDF views: 1101 *
View data table for this chart

* Views captured on Cambridge Core between 04th September 2019 - 15th April 2021. This data will be updated every 24 hours.

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Fluid deformable surfaces
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

Fluid deformable surfaces
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

Fluid deformable surfaces
Available formats
×
×

Reply to: Submit a response


Your details


Conflicting interests

Do you have any conflicting interests? *