J-shaped stress-strain diagram of collagen fibers: Frame tension of triangulated surfaces with fixed boundaries
Yu Takano, Hiroshi Koibuchi

TL;DR
This study uses Monte Carlo simulations of two triangulated surface models to investigate the J-shaped stress-strain diagram of collagen fibers, revealing the importance of directional collagen degrees of freedom in this nonlinear behavior.
Contribution
It demonstrates that Finsler geometry modeling captures collagen's directional effects, providing insights beyond traditional Helfrich-Polyakov models.
Findings
FG model explains the J-shape with collagen directionality
HP model cannot reproduce the J-shaped diagram
Finsler geometry offers a coarse-grained interaction picture
Abstract
We present Monte Carlo data of the stress-strain diagrams obtained using two different triangulated surface models. The first is the canonical surface model of Helfrich and Polyakov (HP), and the second is a Finsler geometry (FG) model. The shape of the experimentally observed stress-strain diagram is called J-shaped. Indeed, the diagram has a plateau for the small strain region and becomes linear in the relatively large strain region. Because of this highly non-linear behavior, the J-shaped diagram is far beyond the scope of the ordinary theory of elasticity. Therefore, the mechanism behind the J-shaped diagram still remains to be clarified, although it is commonly believed that the collagen degrees of freedom play an essential role. We find that the FG modeling technique provides a coarse-grained picture for the interaction between the collagen and the bulk material. The role of the…
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J-shaped stress-strain diagram of collagen fibers: Frame tension of triangulated surfaces with fixed boundaries
Yu Takano
National Institute of Technology, Ibaraki College, Nakane 866, Hitachinaka, Ibaraki 312-8508, Japan
Hiroshi Koibuchi
National Institute of Technology, Ibaraki College, Nakane 866, Hitachinaka, Ibaraki 312-8508, Japan
Abstract
We present Monte Carlo data of the stress-strain diagrams obtained using two different triangulated surface models. The first is the canonical surface model of Helfrich and Polyakov (HP), and the second is a Finsler geometry (FG) model. The shape of the experimentally observed stress-strain diagram is called J-shaped. Indeed, the diagram has a plateau for the small strain region and becomes linear in the relatively large strain region. Because of this highly non-linear behavior, the J-shaped diagram is far beyond the scope of the ordinary theory of elasticity. Therefore, the mechanism behind the J-shaped diagram still remains to be clarified, although it is commonly believed that the collagen degrees of freedom play an essential role. We find that the FG modeling technique provides a coarse-grained picture for the interaction between the collagen and the bulk material. The role of the directional degrees of freedom of collagen molecules or fibers can be understood in the context of FG modeling. We also discuss the reason for why the J-shaped diagram cannot (can) be explained by the HP (FG) model.
Stress-strain diagram, Biological membranes, Surface model, Finsler geometry, Monte Carlo
pacs:
64.60.-i \sep68.60.-p \sep87.16.D-
I Introduction
The mechanical properties of macroscopic membranes, such as human skin, have been extensively studied experimentally for a long time Biomat-2013 ; MCLS-PMatSAc-2008 ; Greven-etal-JMorph-1995 . One interesting mechanical property is the stress-strain diagram. This diagram is called ”J-shaped” because of its plateau (linear behavior) in the small (large) strain region FMZRAB-JSBiol-1997 ; TDRW-JMCB2013 ; TFCC-CLINICS2010 ; RKSRV-ASME2002 ; SBVN-ABME2000 . This J-shaped curve is quite different from the curve expected from the theory of elasticity, and it is also different from the curve observed in rubber elasticity Flory-1959 . Moreover, from an engineering perspective, this non-linear behavior attracts a considerable amount of attention for biomaterial functional technology JMBBM-2013 ; GVRB-NL2011 . For these reasons, many efforts have been devoted to understanding the origin of such a specific and unusual response to external forces. However, the mechanism still remains unclear, although it is widely accepted that the internal structure such as the collagen degrees of freedom Maier-Saupe-1958 ; de-Gennes-1979 ; Doi-Edwards-1986 , the notion of collagen network JMBBM-2016 ; MCPolymer-PRE2008 ; Polymer-PRE2003 ; GJug-JNCS2014 , and the notion of fibers Fiber-RMP2010 ; Fiber-PRE2012 play essential roles in the J-shaped behavior.
In this paper, we use surface models for membranes, such as the Helfrich and Polyakov (HP) model HELFRICH-1973 ; POLYAKOV-NPB1986 ; Bowick-PREP2001 ; WIESE-PTCP19-2000 ; NELSON-SMMS2004 ; GOMPPER-KROLL-SMMS2004 and a Finsler geometry (FG) model Koibuchi-Sekino-PhysicaA2014 ; OK-POL2017 , to calculate the stress-strain diagram. The purpose of this study is to clarify the J-shaped behavior from the perspective of the theory of two-dimensional surfaces, which undergo thermal fluctuations. In such two-dimensional surface models, the stress can be obtained as the frame tension of the surface that spans the fixed boundaries WHEATER-JP1994 ; Cai-Lub-PNelson-JFrance1994 ; David-Leibler-JPF1991 . We will show that the J-shaped curve of can be obtained in the context of the HP model. However, a linear response of against the strain is also detected in an intermediate region of the bending rigidity . This linear behavior at the low strain region contradicts with the existing experimental data MCLS-PMatSAc-2008 ; Greven-etal-JMorph-1995 ; FMZRAB-JSBiol-1997 . In contrast, the J-shaped curve of can be obtained independently of in the FG model. From this result, we confirm that the stress-strain diagrams obtained using the FG model are consistent with the existing experimental data.
The FG model is an extension of the HP model; hence, the Hamiltonian is composed of the Gaussian bond potential and the bending energy Koibuchi-Sekino-PhysicaA2014 . Moreover, the Hamiltonian includes the sigma model Hamiltonian for variable , which represents directional degrees of freedom of collagen or some internal molecular structures such as liquid crystals (LCs). This variable plays an important role in the J-shaped curve of the stress-strain diagram, just like the polymeric degrees of freedom in the aforementioned collagen network and fiber models. We also note that the variable in this paper corresponds to the one used in the FG model OK-POL2017 to represent the directional degrees of freedom of LC molecules in 3D liquid crystal elastomers Wamer-Terentjev ; V-Domenici-2012 ; Terentjev-JPCM-1999 ; K-F-MacMolCP-1998 . We also note that the FG model in this paper is identical to the one introduced in Ref. KS-IJMPC2016 , where the surface tension and string tension of membranes are calculated on spherical and disk surfaces. In this paper, we use a cylindrical surface for calculating the diagram; thus, both the boundary conditions and the results in this paper differ from those reported in Ref. KS-IJMPC2016 .
II Model
II.1 Frame tension of cylindrical surface
Let us assume that an external force is applied to a square surface, the size of which is supposed to be (Fig. 1(a)). Let be the surface tension; then, we have , and therefore, the accumulated surface tension energy is given by , where is the surface area. This surface area is the projected area of the frame, and therefore, is not always identical to the real surface area if the surface is fluctuating. Thus, the surface tension is called frame tension if the real surface area deviates from the projected area due to the surface fluctuations Cai-Lub-PNelson-JFrance1994 ; David-Leibler-JPF1991 . This frame tension is the one that we would like to calculate in this paper. In this paper, not only macroscopic membranes such as human skin but also microscopic membranes are assumed as the research targets, where the thermal fluctuations are not always negligible.
A cylindrical surface is used for calculating the frame tension (Fig. 1(b)). We use this cylindrical surface because the cylinder has no boundary except the one to which an external force is applied. A triangulated cylinder of size is shown in Fig. 2(a), where the height and the diameter are assumed to be identical: . Let () be the total number of vertices in the height (circumferential) direction; then, we have , , and , where is the triangle edge length. Thus, the ratio is independent of the size (in the limit of ), and all cylinders that we use in the simulations are characterized by this ratio.
II.2 Finsler geometry model
In this subsection, we introduce a FG model, which is identical to the one introduced in Ref. KS-IJMPC2016 . The outlines of the discrete model and the corresponding continuous model are shown in this subsection and in Appendix A, respectively, in a self-contained manner. First, we introduce the variable to represent the directional degrees of freedom of liquid crystal molecules (or collagen molecules). The Hamiltonian of the FG surface model is simply obtained by replacing the surface metric with a Finsler metric (see Appendix A). To describe the interaction between the variables themselves, we include the sigma model energy in the Hamiltonian with the interaction coefficient such that
[TABLE]
where (see Fig. 2(b)) is defined as
[TABLE]
In of Eq. (II.2), we assume the factor for the non-polar interaction, because Lebwohl-Lasher potential for LCs includes this factor, although LCs are not always included in collagen fibers Leb-Lash-PRA1972 . In our FG model, the variable represents the direction of collagen molecule as mentioned above. The collagen fiber is made of collagen fibrils, which is made of collagen molecules (a hierarchical structure), and therefore the fiber becomes relatively stiff GVRB-NL2011 . In addition, the fibers are loosely connected by cross-linkers. For these reasons, the collagen fiber networks are always locally ordered. This is in sharp contrast to the case of polymers, which have not only crystalline but also randomly disordered structure. Therefore, the collagen fiber networks change from locally ordered to globally ordered states when they are expanded by external tensile forces. This coarse-grained picture of locally ordered structure of fiber network is expressed by the energy term with finite for in our FG model. The reason why the polar interaction is also assumed for is simply to compare the results with those of non-polar interaction. The coefficient of is fixed to in both polar and non-polar interactions in the simulations. The fact that is fixed to is the cause of locally ordered configuration of , although corresponds to the isotropic phase at least for small strain region.
The stiffness of the fibers can be measured by , where is the Young modulus and the second moment of area. This is called bending rigidity, which measures stiffness of macroscopic elastic materials. In contrast, the bending rigidity in Eq. (II.2) corresponds to stiffness of microscopic membranes such as red cells. Thus, in Eq. (II.2) should be simply considered as a microscopic parameter that can be controlled depending on the rigidity of fibers in consideration.
The vector is the unit normal vector of the surface at vertex , and it is defined as
[TABLE]
where and denote the area and the unit normal vector of the triangle sharing the vertex , respectively. Note that is implicitly dependent on because depends on the surface shape. The expressions for the Gaussian bond potential and the bending energy are
[TABLE]
The derivation of these expressions from the continuous Hamiltonians is shown in Appendix A. The symbol is the length of bond , and is given in Eq. (27) (see also Fig. 11 in Appendix A).
Here we should comment on the boundary condition for the cylindrical surface. Because of the definition of in Eq.(27), the variable at vertex on the boundary cannot be vertical to bond on the same boundary. In fact, if then we have , and therefore . This divergence of implies that never be vertical to the boundary. Therefore, to remove such unphysical repulsive interaction with respect to the direction of tensile forces, we assume that the boundary vertices are able to move into the horizontal direction only slightly within small range . This constraint for the boundary vertices is defined by the potential . The small value is given by the mean bond length, and therefore we have
[TABLE]
This implies that the constraint potential is negligible in the limit of :
[TABLE]
while can be vertical to the boundaries or parallel to the direction of tensile forces.
The discrete partition function is given by
[TABLE]
where denotes that depends on the parameters and the height of the cylindrical surface. denotes the multiple -dimensional integration for the vertices on the upper and lower boundaries of the cylinder. The vertices on the boundaries are prohibited from moving in the height direction, and hence, the corresponding integration becomes a 2-dimensional integration. In contrast, the vertices on the surface, except for those on the boundaries, are not constrained by the boundaries; therefore, is understood to be the -dimensional integrations for those vertices.
II.3 Formula for calculating stress-strain diagram
The surface position is the variable that is integrated out in the partition function , and for this reason, becomes invariant under the change of the integration variable such that . This property is called the scale invariance of , and it is used for calculating the stress-strain curve WHEATER-JP1994 .
The scale invariance implies that should be independent of the scale parameter Koibuchi-etal-JOMC2016 ;
[TABLE]
The scaled partition function is given by
[TABLE]
where in denotes the dependence of on arising from the fact that the projected area is fixed. This dependence of on implies that can be considered to be a two-component function. Thus, from Eq. (12), we obtain . Dividing Eq. (12) by and using , we have
[TABLE]
The mean value of the Gaussian energy on the left-hand side is obtained by Monte Carlo (MC) simulations. However, the problem here is how to evaluate the final term . To calculate this term, we assume that the free energy is given by
[TABLE]
where is the frame tension as mentioned above. Because the corresponding partition function is given by , we finally obtain .
The problem now is how to obtain the projected area in this . Let and be the diameter and the height of the cylinder, respectively. Then, it is natural to define as if is uniform in the sense that is independent of the height position of the cylinder. Note that corresponds to for the cylinder, such as the one in Fig. 1(b). However, the diameter is expected to generally depend on because the cylinder is not a three-dimensional one but rather a two-dimensional surface, and therefore, at the height position may be different from at or , for example. For this reason, we use the diameter of the initial surface, which is used for the simulations of . Thus, the formula for is given by
[TABLE]
II.4 Monte Carlo technique
The multiple-dimensional integrations in are simulated using the standard Metropolis Monte Carlo technique Mepropolis-JCP-1953 ; Landau-PRB1976 . The update of the vertex position is performed with the probability , where with the new position . The small change is randomly distributed in a small sphere (or circle) of radius , which is fixed to keep an approximately acceptance rate of . The vertices on the boundaries are allowed to move only in the horizontal plane (), whereas the other vertices move in the three-dimensional space . The variable is updated such that the new variable is completely independent of the old . One Monte Carlo sweep (MCS) consists of consecutive updates for and consecutive updates for . After a sufficiently large number of MCSs, measurements of physical quantities are performed every MCSs. All the simulations in this paper are performed on lattices of size .
The initial height for the frame tension in Eq. (II.3) is determined such that the equilibrium configurations satisfy . From this definition of and that of , the frame tension in Eq. (II.3) is considered to be the nominal stress in the sense that is independent of the real length of the circumference of the cylinder. To be more precise, can be identified using the real length of the circumference of the cylinder only when the cylinder is sufficiently smooth and has no surface fluctuations. In the case of 3D LCE, the nominal stress is calculated with a constant sectional area, which is independent of the height of the cylinder OK-POL2017 . In contrast, the projected area for in Eq. (II.3) is proportional to the height of the cylinder. Note that the diameter is not always identical to (the symbol is not used henceforth, for simplicity); however, the deviation between and is expected to be small because the cylinder is constructed such that the diameter equals the height for .
III Results
III.1 Snapshots
First, we show snapshots of surfaces of non-polar model in Fig. 3. From the snapshots, we confirm that the variable is locally ordered when for while it is globally ordered along vertical direction when (Figs. 3(a),(b)). The reason why is locally ordered is because the coefficient of is fixed to . For the case , we can also see almost the same ordering of on the surfaces (Figs. 3(c),(d)).
III.2 Canonical model
In this subsection, we present the results of the HP (or canonical) model and discuss why the canonical model is insufficient for explaining the existing experimental data of the J-shaped stress and strain diagram Biomat-2013 ; MCLS-PMatSAc-2008 ; Greven-etal-JMorph-1995 ; FMZRAB-JSBiol-1997 . The canonical model is defined as
[TABLE]
where is the bond length squares Bowick-PREP2001 ; GOMPPER-KROLL-SMMS2004 ; WHEATER-JP1994 . In Eq. (III.2), we use the symbols and for the canonical Gaussian energy and the bending energy, respectively, to distinguish them from and in Eq. (II.2) for the FG model. Note that these and are not assumed as Hamiltonians in the FG model; however, these quantities can be obtained (or calculated) from the surface configurations of the FG model.
As shown in Fig. 4(a), is linear with respect to for and . This figure also shows that the shape of changes from linear to J-shaped when increases from to , and . It is also observed that becomes J-shaped when decreases from to . To evaluate the surface smoothness, we plot the bending energy in Fig. 4(c), where is the total number of bonds excluding the bonds on the boundaries on which is not defined. We find that the plateau of can be observed on relatively smooth surfaces of and on relatively wrinkled surface of . On the surfaces of , becomes linear with respect to . The mean triangle area , which is defined as
[TABLE]
is also J-shaped if the corresponding is J-shaped (Fig. 4(d)), where is the total number of triangles. Only for is the mean triangle area almost linear. The J-shaped behavior of implies that the real surface area remains unchanged for the small region, whereas the projected area always changes linearly with respect to .
Thus, we observe that the behavior of for and appears J-shaped, and hence, this observation indicates that the J-shaped diagram can be understood within the context of the canonical model. However, the problem is the linear behavior of observed in the intermediate region . These results also imply that has J-shaped behavior at low and high temperatures, whereas it has a linear behavior at intermediate temperatures because has units of . To summarize these results, the linear at conflicts with the existing experimental results Biomat-2013 ; MCLS-PMatSAc-2008 ; Greven-etal-JMorph-1995 ; FMZRAB-JSBiol-1997 , at least in the context of the canonical model.
The problem is why linear behavior is observed only at intermediate region of . We first note that the linear behavior of for the large region is easy to understand. For the large region, the surface area is increased to a sufficiently large value, while the bending energy is negligible compared with , which has units of length squares; hence, the energy supplied by the external force is accumulated only in . The interesting region of is close to , where the surface can fluctuate if is not very large. For the small region, the surface is sufficiently wrinkled, and therefore, the surface height is increased without changing the bond length for close to . On such rough surfaces, the long wavelength mode of surface fluctuations is not expected. This means that the persistence length is relatively short, and hence, the external force at one of the two boundaries has no influence on the other boundary. However, when is increased to , the surface becomes relatively smooth such that the long wavelength modes (or long-range correlations of surface fluctuations, such as surface normals) are expected to appear on the surface, and therefore, the external force applied on the boundary influences the entire surface such that can be increased even for the small region. This is a reason for why no plateau is observed in in the intermediate region of . For the large region, such as , the surface is further smoothed, and the surface fluctuation is suppressed. On these relatively smooth surfaces with small surface fluctuations, the boundary effect is not mediated as the surface fluctuation modes for the small region, and this makes a plateau in .
Thus, the linear behavior of for the intermediate region of is typical of the two-dimensional fluctuating surfaces; however, this linear behavior is unsatisfactory from the perspective of the experimental fact that is J-shaped in biological membranes Biomat-2013 ; MCLS-PMatSAc-2008 ; Greven-etal-JMorph-1995 ; FMZRAB-JSBiol-1997 . The main reason for this is that the surface fluctuations are expected in the canonical surface model while these are suppressed in the macroscopic membranes such as skins and collagen fiber networks. We have to conclude that the canonical surface model is insufficient for explaining the J-shaped stress-strain diagram of macroscopic membranes.
III.3 FG model for
In this subsection, we evaluate the equivalence between the canonical model and the FG model for . When is zero in the FG model, the variable becomes random, and hence, no anisotropy is expected on the surface Koibuchi-Sekino-PhysicaA2014 ; OK-POL2017 . Indeed, the FG model is an extension of the canonical HP model in the sense that the outputs of the FG model for are consistent with those of the canonical model.
Figure 5(a) shows vs. of the FG model for with several different values of . As shown in this figure, changes linearly against for , and is J-shaped for , and . From these results, it is clear that the dependence of on of the FG model for is consistent with that of the canonical model. Indeed, we find from shown in Fig. 5(b) that the stress for the surfaces of ( and ) behaves linearly (has a plateau) with respect to . This result is almost consistent with the results of the canonical model shown in Figs. 4(a),(b),(c).
Note that the role of in the canonical model is not always the same as that in the FG model. Indeed, plays the role of the bending rigidity in the FG model, whereas the constant is the bending rigidity in the canonical model. Moreover, the surface tension coefficient is fixed to in the canonical model, whereas in the FG model, plays the role of the surface tension coefficient. For these reasons, to clarify the relation between the coefficients in the canonical model and those in the FG model, we calculate the mean values of and such that
[TABLE]
The reason for multiplying and by a factor of in Eq. (III.3) is as follows. The sum of triangles in and in Eq. (II.2) can be replaced by the sum of bonds because every term or is summed over twice in the sum . From this factor , the factor in , and the expression of in Eq. (II.2), we include the factor in and in Eq. (III.3).
We observe that the dependence of on in Fig. 5(c) appears similar to that of in Fig. 5(a). Indeed, both and have a plateau (linear behavior) for , and (). We also observe that the value of is in the range , and it is larger than that of of the canonical model. However, is included in , and therefore, we expect that this difference between and does not make any difference between the stresses of the canonical and FG models. Indeed, in Fig. 5(a) for each is almost comparable to (or slightly smaller than) in Figs. 4(a),(b) of the canonical model.
Using the , in Eq. (III.3) and the Hamiltonians , in Eq. (III.2), we have the effective Hamiltonian for the FG model such that , which can also be written as . In these expressions of , the multiplicative factor 3 is dropped for simplicity. Furthermore, because the factor in can be dropped due to the scale invariance of , we finally have .
From this , the differences between of the canonical and FG models are understood. As shown in Fig. 5(d), is slightly larger than ; . However, is not included in , which is shown in Fig. 5(b) ( is included only in )) in contrast to the case of , which is included in . For this reason, of the FG model is expected to be smaller than that of the canonical model. However, the results are opposite; of the FG model is slightly larger than that of the canonical model. This result can be understood from the effective Hamiltonian described above. Indeed, the fact that makes larger. In other words, the effective bending rigidity of the FG model for corresponds to the slightly smaller of the canonical model for the same value of . This result is consistent with the aforementioned result that of the canonical model for is linear, whereas of the FG model for has a plateau.
III.4 FG model for
Now we turn to the non-trivial cases corresponding to , and we will show that the results, obtained in the entire range of including the large region, are consistent with the existing J-shaped diagram. First, in Fig. 6, we present the results of the polar FG model, where is fixed as . The stress vs. in Fig. 6(a) is found to be J-shaped for , , and . The result for in Fig. 6(a) is new and non-trivial. Indeed, the corresponding has values such that , which corresponds to those for of the canonical model in Figs. 4(a), (b), where behaves linearly against . Note that for is not always specific to the FG model because the corresponding also has a plateau structure just like in the canonical model. The parameters and also have a plateau in the region of , where has the plateau.
The problem is why is there no linear behavior of observed in the FG model. One possible answer is that the effective one-dimensional correlation introduced by the variable changes the property of two-dimensional surface fluctuations such that the long-range force is suppressed in the region of close to . The variable aligns along the direction in which the cylindrical surface is expanded, and therefore, the one-dimensional correlation along this direction is expected for a relatively large region of , such as . Indeed, it is easy to understand from in Eq. (30) that a bond length becomes large (small) if aligns parallel (vertical) to this bond. Therefore, it is natural that the surface fluctuations expected in the FG model for the large region are different from those expected in the canonical model. This phenomenon in which the long-range force is suppressed is quite analogous to the one reported in Ref. Koibuchi-PRE2008 , where an model energy suppresses the crumpling transition on spherical surfaces, although the interaction between and the surface of the XY model in Koibuchi-PRE2008 is different from the one of the FG model in this paper.
The results of the nonpolar FG model are presented in Fig. 7, where is fixed to . These data are consistent with those of the polar model in the region of such as . For all values of assumed, has the J-shaped structure.
The mean triangle area and the order parameter for the variable defined by
[TABLE]
are plotted in Figs. 8(a)-(d). In Eq. (22), for the polar case is given by . A plateau can also be detected in , like that in , in both the polar and nonpolar models, and the range of the plateau for is almost identical to that for . The area corresponds to the real surface area; hence, it is considerably different from the projected area , which is proportional to . This difference between and implies that the radius of the cylinder shrinks in its plateau region. In fact, it is easy to understand that has no plateau if the cylinder radius remains unreduced.
The order parameter changes such that () for () in Figs. 8(b),(d). This result indicates that the origin of the J-shaped curve is the structural change of . Indeed, varies rapidly in the plateau region in both the polar and nonpolar models. The plateau of is observed in the range () for the polar (nonpolar) model.
The eigenvalues of the tensor order parameter defined by
[TABLE]
are plotted in Fig. 9 for the non-polar model. The largest eigenvalue becomes , and the other two eigenvalues and are expected to be if is completely ordered. We confirm also from Figs. 9 (a),(b) that the variable becomes ordered if is enlarged. The behavior of ordering of is exactly consistent to that of in Fig. 8 (d). The large fluctuations of in the small region of for indicate that the directional change of is abrupt with respect to .
Finally in this subsection, we comment on the reasons for why the bending rigidities of and are not assumed in the calculations. First, the curves of vs. are obtained under the assumption that the surface remains cylindrical in shape. However, the surface shape deviates from cylindrical and becomes very thin for the small region, such as , and collapses into string-like configurations if is reduced to . In such a very thin surface, the surface area becomes far different from the projected area. Moreover, for these highly wrinkled surfaces, appears to always be positive even for small . This is actually expected because the surface shrinks to a small sphere for sufficiently small . For these reasons, we assume a relatively large bending rigidity () such that the cylindrical surface shape is maintained in the range . In contrast, for the region of large , which is denoted by , is expected to be zero, and therefore, the surface shape can be changed only in its tangential direction. In this case, only changes as increases, and there is no reason for to behave non-linearly with respect to . However, in the case that is not always exactly zero, where the surface is expected to undergo buckling, we also expect a non-linear behavior in . However, in these large regions of , the model surface will be far from biological membranes.
III.5 Comparison with experimental data
In this subsection, we show that the simulation data can be compared to experimental stress-strain data of biological materials such as blood vessel, rat muscle, collagen fibers, and collagen hydrogels TDRW-JMCB2013 ; TFCC-CLINICS2010 ; RKSRV-ASME2002 ; SBVN-ABME2000 (see Figs. 10(a)–(d)). First, we should comment on the unit of in Eq. (II.3) assumed for the simulations in more detail. In the simulations, the inverse temperature is fixed to , and under this unit the triangle edge length is fixed to . This corresponds to the lattice spacing in the lattice field theory language Creutz-txt and is suitably fixed such that the simulation data can be compared to the experimental data. However, the physical unit of is given by , which is different from the experimental one for stresses of macroscopic objects. For this reason, we obtain dividing the simulation data by to compare with the experimental stresses. By including , and in the calculation formula of , we have
[TABLE]
where the room temperature is assumed for . Note that the simulation data in Eq. (II.3) is obtained from this by assuming and . Note also that the unit of is because the units of and are given by and , respectively. This can be identified with experimental stresses if the value of is specified. The problem is how to obtain the coefficient from experimental and simulation data. One possible answer is to determine such that the slope of equals to that of experimental data in their linear regions. The slope of with respect to the strain is just Young modulus . Therefore, the experimental and simulation Young moduluses and can be obtained from their linear part of the corresponding experimental nominal stress and such that the following condition is satisfied:
[TABLE]
From this relation, the coefficient is obtained and used to plot in Figs. 10(a)-(d). We find in the experimental data that the linear behavior terminates for large strain region (see Fig. 10(d)). In contrast, the simulation data behave only linearly for large strain region because no failure mechanism is implemented in the model.
From the coefficients , which are obtained from the experimental and simulation data and used for the plots in Figs. 10(a)–(d), the parameters can be obtained and are shown in Table 1. The parameters are approximately times (or more) greater than the Van der Waals radius of atoms, and therefore these are meaningful as the lattice spacing for the calculations of .
IV Summary and conclusion
We have studied the origin of the J-shaped stress-strain diagram using Monte Carlo simulations on triangulated surfaces. For such a non-linear behavior of the J-shaped diagram, it has been widely accepted that the collagen structure plays an essential role Maier-Saupe-1958 ; de-Gennes-1979 ; Doi-Edwards-1986 ; JMBBM-2016 ; MCPolymer-PRE2008 ; Polymer-PRE2003 ; Fiber-RMP2010 ; Fiber-PRE2012 . However, for the J-shaped diagram, no concrete result has yet been obtained in theoretical or computational evaluations of the curve from the perspective of two-dimensional surface models because the interaction between the collagen and the bulk material (including collagen itself) is too complex.
To understand the mechanism of the J-shaped diagram, we first calculate the frame tension of cylindrical surfaces using the canonical surface model of Helfrich and Polyakov (HP) BOWICK-TRAVESSET-EPJE2001 ; Cuerno-etal-2016 ; Koibuchi-etal-JOMC2016 . From the Monte Carlo data of the HP model, we find that is J-shaped. However, the J-shaped curve can be obtained only for some limiting cases, such as small and large bending rigidity regions. In fact, for the region of , changes linearly with respect to , including the smaller region . For this reason, we apply the Finsler geometry (FG) model to evaluate on the same cylindrical surfaces. The FG model is an extension of the HP model and includes a new degree of freedom corresponding to the polymer (or liquid crystal) direction Koibuchi-Sekino-PhysicaA2014 ; OK-POL2017 ; KS-IJMPC2016 . The Monte Carlo results of the FG model for all values of are in good agreement with the existing J-shaped stress-strain curves obtained experimentally. This result implies that the J-shaped diagram can be understood in the context of the FG modeling.
The important point to note is that a structural change is essential for the J-shaped curve. This structural change is associated with the directional degrees of freedom of , which has two different phases, such as ordered and disordered. A phase transition between these two phases, from the disordered phase to the ordered phase, is activated by an external force that expands the surface. In this expansion process, the external force changes the internal structure represented by in the small region. As a result of this structural change, the surface fluctuation property is altered such that a long-range correlation, expected for a certain region of in the canonical model, is suppressed due to the one-dimensional correlation of . Thus, the internal structural change during the process of surface expansion is the origin of the J-shaped stress-strain diagram of membranes, and this intuitive picture for the interaction between and the bulk polymer can be implemented in the FG surface model. We should note that the detailed information on the transition property of this internal structure and the dependence of the J-shaped curve on the internal phase transition remain to be studied.
Acknowledgements.
The author H.K. acknowledges Giancarlo Jug and Andrei Maximov for discussions and comments. The authors acknowledge Eisuke Toyoda for computer analyses. This work is supported in part by JSPS KAKENNHI Numbers 26390138 and 17K05149.
Appendix A Finsler geometry model for 2D membrane
We start with the continuous Hamiltonian , which is given by
[TABLE]
where and are the Gaussian energy and the bending energy, respectively. The coefficients and are the surface tension and the bending rigidity, respectively, where and are the Boltzmann constant and the temperature. In , is the surface position (see Fig. 2(b)), which is locally parametrized by ; hence, is understood to be a mapping from the two-dimensional parameter space to such that . The matrix is a metric function on , is its inverse, and is the determinant of . The symbol in is a unit normal vector of the surface in (see Ref. Koibuchi-Sekino-PhysicaA2014 for more details). The FG is considered to be a framework for anisotropic phenomena Matsumoto-SKB1975 ; Bao-Chern-Shen-GTM200 ; George-Bogoslovsky-JGM2012 ; George-Bogoslovsky-PLA1998 . We also note that the J-shaped diagram is expected to share the same origin with the soft elasticity in 3D liquid crystal elastomers Wamer-Terentjev ; V-Domenici-2012 ; Terentjev-JPCM-1999 ; K-F-MacMolCP-1998 .
Let be the variable corresponding to the directional degrees of freedom of a polymer or molecule such as liquid crystals at the vertex of the triangulated surface. Let be the unit tangential vector of the triangle edge (or bond) , which connects the vertices and , such that . Using this , we define the tangential component of along the bond by
[TABLE]
We note that in general.
Let denote a triangle on , and let the vertex be the local coordinate origin of the triangle ; then, the Finsler metric on the triangle is defined by
[TABLE]
Thus, by the replacements
[TABLE]
in Eq. (A), we have
[TABLE]
Because there are three possible local coordinate origins on the triangle , all possible terms in and should be summed over with the coefficient . The sum over triangles in both and can be replaced by the sum over bonds ; then, we finally obtain
[TABLE]
Multiplying by and by , we have and , which can be considered to be effective surface tension and effective bending rigidity. These quantities and are dependent on the position and the direction of the bond , although and are a part of energies and , respectively. This dependence of and on the position and the direction of the bond is the most interesting output of the FG model. Anisotropic coefficients are expected to play an important role for the anisotropy in LCE Lubensky-PRE-2002 ; Lubensky-PRE-2003 ; Xing-Radzihovsky-ANP-2008 ; Stenul-Lubensky-PRL-2005 . Note that both and are explicitly dependent on because and are determined by via Eq. (27).
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