Open Access Article
Tom
Vincent-Dospital
*ab,
Renaud
Toussaint
*ab,
Stéphane
Santucci
cd,
Loïc
Vanel
e,
Daniel
Bonamy
f,
Lamine
Hattali
g,
Alain
Cochard
a,
Eirik G.
Flekkøy
b and
Knut Jørgen
Måløy
b
aUniversité de Strasbourg, CNRS, Institut de Physique du Globe de Strasbourg, UMR 7516, F-67000 Strasbourg, France. E-mail: vincentdospitalt@unistra.fr; renaud.toussaint@unistra.fr
bSFF Porelab, The Njord Centre, Department of Physics, University of Oslo, N-0316 Oslo, Norway
cUniversité de Lyon, ENS de Lyon, Université Claude Bernard, CNRS, Laboratoire de Physique, F-69342 Lyon, France
dMechanics of Disordered Media Laboratory, Lavrentyev Institute of Hydrodynamics of the Russian Academy of Science, Russia
eUniversité de Lyon, Université Claude Bernard, CNRS, Institut Lumière Matière, F-69622 Villeurbanne, France
fUniversité Paris-Saclay, CNRS, CEA Saclay, Service de Physique de l’Etat Condensé, F-91191 Gif-sur-Yvette, France
gUniversité Paris-Saclay, Université Paris-Sud, FAST, CNRS, Orsay, France
First published on 28th September 2020
While of paramount importance in material science, the dynamics of cracks still lacks a complete physical explanation. The transition from their slow creep behavior to a fast propagation regime is a notable key, as it leads to full material failure if the size of a fast avalanche reaches that of the system. We here show that a simple thermodynamics approach can actually account for such complex crack dynamics, and in particular for the non-monotonic force–velocity curves commonly observed in mechanical tests on various materials. We consider a thermally activated failure process that is coupled with the production and the diffusion of heat at the fracture tip. In this framework, the rise in temperature only affects the sub-critical crack dynamics and not the mechanical properties of the material. We show that this description can quantitatively reproduce the rupture of two different polymeric materials (namely, the mode I opening of polymethylmethacrylate (PMMA) plates, and the peeling of pressure sensitive adhesive (PSA) tapes), from the very slow to the very fast fracturing regimes, over seven to nine decades of crack propagation velocities. In particular, the fastest regime is obtained with an increase of temperature of thousands of Kelvins, on the molecular scale around the crack tip. Although surprising, such an extreme temperature is actually consistent with different experimental observations that accompany the fast propagation of cracks, namely, fractoluminescence (i.e., the emission of visible light during rupture) and a complex morphology of post-mortem fracture surfaces, which could be due to the sublimation of bubbles.
In practice, and depending on the material being broken, both the slow and the fast propagation regimes can be observed for a same range of applied loads.18,19 A hysteresis holds and the growth rate of a fracture is then depending on the actual mechanical history, rather than only on the instantaneous mechanical load. Maugis and Barquins20,21 early suggested that the description of the slow and the fast regimes, as well as that of the hysteresis, could be qualitatively unified by reinterpreting Griffith's criteria,1 if one could account for the temperature and velocity dependent viscoplasticity that occurs around crack tips.22,23 More specifically, Marshall et al.18 and then Carbone and Persson24,25 proposed that the induced heat associated to such a plasticity might locally soften the matter around a crack and that some thermal weakening (i.e., the abrupt transition from slow creep to fast failure due to a thermal process) arises from the related reduction of the material elastic moduli.
In this work, we propose a quantitative unifying model of the two propagation regimes that disregards such a softening effect, hence stating that some variations in the material mechanical properties are not necessarily required to obtain a slow-to-fast-crack transition. We focus instead on how the thermal dissipation, and the subsequent rise in tip temperature, affect the front sub-critical growth, as understood by statistical physics and an Arrhenius-like law. In some previous works, we indeed studied how such sub-critical laws, at fixed room temperature, well describe creep; in fibrous and polymeric materials (namely, paper sheets and polymethylmethacrylate, PMMA), they notably account for the mean kinetics of slow rupture fronts under various loading conditions.14,15,26 When, in addition, taking into account these media structure and heterogeneities in fracture energy, such sub-critical laws also reproduce the intermittent dynamics of failure; in particular, the size distribution of crack jumps13 and the front roughening properties.16 Here we neglect any spatial variation of the fracture energy, but let the crack tip temperature vary as a function of the front velocity and of the applied mechanical load. Indeed, in a previous experimental and theoretical study of the tearing-induced heating in paper sheets,27 we were able to relate the temperature field around moving cracks to a certain percentage of the mechanical energy which gets converted into heat as the tip advances. More recently, this rise in temperature was fed back into a sub-critical growth law and showed28 that one can thus obtain a dynamics model holding numerous qualitative similarities with the observed behavior of cracks, namely, two stable phases of propagation and a critical point that is similar to a brittle-ductile transition (e.g., ref. 29). Here, this model is first reintroduced (Section 2) and then shown to quantitatively capture the fracturing dynamics of two different polymeric materials, over the full range of velocities (Section 3), namely, acrylic glass (PMMA) and pressure sensitive adhesives (PSA). In both these media, some extensive experimental work has been carried out by different groups to quantify the two rupture regimes (e.g., see ref. 9, 30–35 for PMMA and ref. 19, 36–38 for PSA) and our proposed model accounts for the experimental curves of applied load versus crack velocity, from the slowest (micrometers per second) cracks to the fastest (hundreds of meters per second) ones. Such a match suggests that the growth of cracks could be sub-critical (i.e., as stated by the model) over a far wider velocity range than what is commonly accepted, that is, even at propagation velocities approaching that of mechanical waves. Indeed, we infer that the load threshold at which cracks typically shift to the fast phase is actually smaller than the intrinsic rupture energy, as a result from the boosted thermal activation around the front. In particular, we predict that crack tips can reach thousands of degrees on the molecular scale (i.e., over a few atoms around the front), when they quickly avalanche. Although such high temperatures are today rarely considered, they have long been proposed (e.g., Rice and Levy39), and we here discuss (Section 4) how they are inline with several observables that sometimes accompany the fast propagation of cracks, namely, the emission of visible light at their tips (i.e., fractoluminescence40–42) and the existence of bubbles on their postmortem surfaces, that can nucleate secondary rupture fronts.43,44
We consider the velocity V of cracks to be ruled by the competition, at their tips, between breaking and healing processes45 (or see ref. 46, chpt. 5.5.1). As many authors before us (e.g., ref. 7, 8 and 46), we propose that these processes are, at least in part, sub-critical, and are governed by some Arrhenius-type laws (e.g., ref. 17 chpt. 1.8.1). The activation energies of these laws are thus exceeded by the thermal bath according to a probabilistic Boltzmann distribution.17 The rupture activation energy can then be written as (Uc − U): the difference between the mechanical energy U that is stored in the tip bond and a critical rupture energy Uc, at which this bond fails. The latter should typically be comparable to a few electronvolts, which is a standard value for atomic covalence (e.g., see appx. E in ref. 6). Of course, depending on the studied material, Uc could also be dominated by the typically weaker binding energies of hydrogen or van der Waals bonds, and its actual value may thus lie within a few orders of magnitude. In any case, as we are here introducing a mesoscopic law for the rupture dynamics (i.e., an Arrhenius growth), Uc should be understood as a mean material property, representative of the various strengths of the links that break along a crack course. Such a statistical definition will also apply to most of the parameters that we will henceforward consider. Similarly to the rupture barrier, the activation energy to heal the atomic connections can be written as (Uh + U). There, Uh is an intrinsic repulsive energy barrier that two atoms need overcome to bond, in addition to which the thermal bath at the healing link also needs to compensate for the applied stretch U of the tip. With these considerations, the propagation velocity of a crack is then modelled by
![]() | (1) |
![]() | (2) |
The product νd0 is a maximal velocity, that we will further denote V0, at which a fracture front can advance, when its tip atomic bonds snap each time they are challenged and never heal. In theory,17 the frequency ν is temperature dependent, with
where m is the mass of an atom or a molecule, but this dependence is small compared to that of the neighbouring exponential terms, so that we here neglect it. In our context of rupture kinetics, and more practically, it was notably proposed5,47 that such a nominal velocity V0 is in the order of that of the medium Rayleigh waves, as quicker fractures then propagate in a specific supersonic regime,48,49 which is not here considered. In our description, U is the physical quantity that describes the load of a crack on the microscopic level, and that governs most of its dynamics. However, at the lab scale, U is not a measurable quantity. The energetic level at which a crack progresses is rather characterized by the macroscopic energy release rate G, which is the amount of energy that a fracture dissipates to grow by a given unit of measurable area.1 This energy dissipation may be of diverse nature, and is to cause a relative reduction in potential energy near the tip. We will denote N > 1 the factor for this reduction, so that U ∼ d02G/N. More commonly, mechanical shielding is described with the introduction of a plastic process zone of radius ξ around the crack front, where the dissipation occurs. To follow this canonical framework, we define a radius ξ that is relative to the length of an atom link, such that 2ξ/d0 = N. The intensity of the mechanical shielding (i.e., the relation between the potential energy U stored in the rupturing bond and the macroscopic energy dissipation G) then writes as
![]() | (3) |
![]() | (4) |
Note finally that one could also write eqn (4) as a function of the mechanical stress σ that is applied at the crack tip, using
, where d0 is the nominal separation of atoms in an unloaded matrix (i.e., at G = 0) and d is the actual atom separation at the crack tip. Fig. 1 illustrates such a link between G and σ and summarizes, in a simplified atomistic view, how the thermal bath allows to overcome the surface energy barriers for breaking and healing atomic bonds, Gc − G and Gh + G, as per eqn (4).
![]() | (5) |
upon the passage of the production zone of extension l within the time τ = l/V. For fast cracks however, when δ becomes smaller than l, the generated heat can barely diffuse out of its source zone and ΔT is then constrained by l. We thus have![]() | (6) |
![]() | (7) |
![]() | ||
| Fig. 2 Steady thermal elevation at a crack tip for various propagation velocities, due to the diffusion eqn (5) (plain plot). The approximations ΔTfast and ΔTslow, from eqn (6) and (7), are shown for comparison (dotted plots). The axes are not annotated for the sake of generality. | ||
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| Fig. 3 Crack velocity V as a function of the energy release rate G as predicted by eqn (4) and (5) (plain curve) and fitted to the PMMA experimental data.32 The arrows indicate to which model parameters each part of the curve is mainly sensitive, and the main color scale specifies at which temperature the crack tip is modelled to be. The load Ga is an avalanche threshold beyond which a front can only propagate quickly and Gc is the modelled microscopic energy barrier for rupture. Below the asymptote at (Gc − Gh)/2, fronts cannot propagate forward due to some dominating healing processes. The inset shows, for a given point of the curve: V ∼ 100 m s−1 and G ∼ 600 J m−2, the associated modelled temperature field around the front. For readability, the color map is there different from the main one, and the circle corresponds to the tip of radius l, where the extra heat is emitted. ΔT of the main model curve is the value at the centre of the circle. At loads beyond G = Gc, micro-cracks begin to nucleate,32 as shown further in Fig. 4, which shows a zoom of the fast branch. | ||
Fig. 3 then compares both experimental branches with our proposed model. We thus pursue by detailing how each parameter was fitted (i.e., how the model was calibrated to the data), based on asymptotic read-offs. We classically start by wondering how well the slow propagation phase is represented by an Arrhenius law of constant temperature. In the model, this corresponds to a linear ln(V) to G relationship that holds at low velocity, where ln is the natural logarithm. There, ΔT is negligible compared to the background T0 and G is high enough for the healing terms of eqn (4) to be secondary (i.e., the terms involving Gh in this equation), leading to
![]() | (8) |
To quantify how well the model accounts for the experimental data, we computed, for each data point, the relative orthogonal distance εd to the model, that is
![]() | (9) |
= meand(εd), can also be inferred. To do so, we first have regularly under-sampled the experimental data onto 40 J m−2 wide bins, keeping there only the mean Gd and the mean log10(Vd). This way, and doing so separately for the two propagation branches (see ESI†), no bias is introduced on
by the strong difference in measure density along the experimental (Vd, Gd) curve (i.e., see Fig. 3). The thus derived overall fit error computes to
= 4%, below G = Gc. We discuss, in the next section, the fit beyond Gc and further discuss the accuracy of the inverted parameters in the ESI.†
![]() | ||
| Fig. 4 Zoom on the PMMA fast propagation branch presented in Fig. 3, and as per eqn (4) and (5). Beyond a load comparable to the modelled Gc threshold, some micro-cracks start to nucleate, impacting the overall propagation velocity as explained by Guerra et al.33 The individual velocity of each micro-crack stays however constant at V = Vmicro. The validity of our single front model is limited passed this point, although it does predict a velocity plateau Vlim, as per eqn (10), and a velocity maximum Vmax, which are comparable to Vmicro. Inset (a): Fractography of the secondary micro-cracks on a postmortem fracture surface. White areas mark their nucleation centres. Inset (b): Atomic force microscopy of a nucleating cavity at the centre of a micro-crack. As proposed in Section 4.4, it could derive from the sublimation of localised bubbles around the main front, due to some intense thermal effects. | ||
Such a plateau in the propagation speed is somewhat consistent with our description (see Fig. 4). But this being said, it is clear that our unique front model shows limitations as soon as fronts complexify. We can still push this discussion on the fast regime a bit further. A question of interest about the rupture of PMMA has been why the maximal observed crack velocity was significantly lower than the theoretical Rayleigh speed32 (i.e., about 200 m s−1 rather than 880 m s−1). Eqn (4) gives here some insight, as it does predict a plateau velocity Vlim as the applied G gets very large. Indeed, besides preventing the crack advance at very low loads, the sub-critical healing processes significantly limit the fast growth rate, as the tip temperature is modelled to be high. More specifically, by inserting ΔTfast (7) in eqn (4), and by looking at the high loads asymptotic regime of the healing term, we predict V to be limited by c0 = d03C, the individual heat capacity of atom bounds:
![]() | (10) |
![]() | ||
| Fig. 5 Crack velocity V as a function of the energy release rate G as predicted by eqn (4) and (5) (plain curve) and fitted to the tape experimental data.19,37 The unstable branch was not actually measured and the data points there are only averaged V versus G for a crack that undergoes stick-slip, in the given set-up, between the slow and the fast phase. The arrows indicate to which model parameters each part of the curve is mainly sensitive, and the main color scale specifies at which temperature the crack tip is modelled to be. The load Ga is an avalanche threshold beyond which peeling fronts can only propagate quickly and Gc is the modelled microscopic energy barrier for rupture. The inset shows the associated modelled temperature field around the front, at the onset of the fast to slow phase shift (G = 50 J m−2, V = 20 m s−1). For readability, the color map is there different from the main one, and the circle corresponds to the tip of radius l, where the extra heat is emitted. ΔT of the main model curve is the value at the centre of the circle. | ||
Overlaying this experimental data, Fig. 5 also displays a calibrated version of our model. The model parameters were inverted as follows, with a similar asymptotic analysis as what was done for PMMA. As no significant healing threshold displays at low velocity, we have only assumed that Gh is high enough to completely neglect the healing processes (i.e., the healing term in eqn (4) is small if Gh is high). Of course, this absence of threshold, below which no forward propagation of the crack is observed, could also only indicate that (Gc − Gh)/2 < 0 or that this value (i.e., illustrated on the PMMA data in Fig. 3) is less than the minimum energy release rate that was investigated in the tape experiments. We discuss this particular point further in the ESI.† We now invert the length ξ, which is, again, given by the slope of the slow phase and is here about 10 nm. As no healing is now supposed to be at play, the nominal velocity V0 is given by the highest velocity records: V0 ∼ 30 m s−1 as V0 is the maximum value then predicted by eqn (4). Satisfyingly, this value compares well with the magnitude of a mechanical wave velocity in PSA, that is,
, where μ is, for instance, the shear modulus of the adhesive,62 0.1 to 1 MPa, and ρ is its volumetric mass,63 about 103 kg m−3. Next, from eqn (8), the intercept of the slow branch with the ordinate (zero G) axis indicates Gc ∼ 150 J m−2. Rather logically, and with the inverted value of ξ, this again corresponds to a value of fracture energy Uc ∼ 1 eV. Note also that Gc is again higher than the transition load Ga at which a creeping front jumps to a fast regime. From this transition load, arising in the model from the temperature rise at low velocity (6), we also infer λ/ϕ to be in the order of 0.1 J s−1 m−1 K−1. As the adhesive's conductivity λ lies in the same range,64 a consequent portion of G should be released into heat: ϕ ∼ 1. Of course, ϕ cannot be exactly one, as other dissipating processes than heat diffusion are likely to dissipate a part of G (see the Discussion in Section 4). According to our inversion however, this part ought to be small. Finally, by varying l and by matching the coolest points of the fast phase, we estimate this parameter, which limits the highest tip temperature (i.e., eqn (7)), to be in the nanometer range. This value, for the length scale of the heat production zone, is again rather consistent with the inverted magnitude of ξ, that is, the equivalent length scale for the mechanical shielding of the tip. Note also that both ξ and l are interestingly comparable to what was obtained for PMMA, and in the order of a polymeric entanglement density.57
As shown in Fig. 5 and with this set of parameters, the model accounts for most of the tape peeling dynamics. More quantitatively, for all the particular data points of the two stable phases, the fit error εd (as defined by eqn (9)) is less than 20%. We also computed a mean fit error
= meand(εd) for the stable phases. To do so, and as done for PMMA, we first averaged the data points onto 10 J m−2 wide bins, so that no densely populated part of the measured curve dominate the value of
(see the ESI†). We thus computed
= 5%.
Note that, in comparison to the fast branch for the failure of PMMA (i.e., as discussed in Section 3.2), it would be of interest to know if the critical load G = Gc also approximately corresponds to the apparition of some new rupture modes. Yet, the high velocity branch of the tape data is bound to relatively large uncertainties (the loading system of Barquins and Ciccotti19 involved dropping weights from an elevated balcony, illustrating the challenges in fast peeling measurements), so that it does not allow a more thorough analysis.
| Parameter | PMMA | PSA | Unit |
|---|---|---|---|
| V 0 | 880 | 30 | m s−1 |
| G c | 1300 | 150 | J m−2 |
| G h | 650 | — | J m−2 |
| ξ | 50 | 10 | nm |
| l | 1 | 1 | nm |
| ϕ | 0.2 | ∼1 | [−] |
| λ | 0.1 | 0.18 | J s−1 m−1 K−1 |
| C | 1.5 | 1 | MJ m−3 K−1 |
| G c/Ga | 1.8 | 1.6 | [−] |
| U c | 1 | 1 | eV |
| N | 500 | 100 | [−] |
For instance, the analysis of some fracture roughness in cleaved quasi-crystals has revealed a damage zone of size anomalously large for this class of materials, and this was stated to result from a local temperature elevation of about 500 K at the moving crack tip.65
Several experimental works in glass and quartz40–42 also managed to indirectly measure ΔT to indeed reach thousands of degrees, by characterising the photons emission from the tips of some moving cracks and by comparing it to the blackbody radiation theory.66 In the case of tape, when peeling fast enough to be in the stick-slip regime, a blue tribo-radiation can similarly be observed,19,67 and it was established that this radiation only occurs during the fast propagation phases of the cycle.19 A direct example of such an emission is shown in Fig. 6, and its color could well correspond to the central wavelength λpeak associated, via Wien's law,66 with a blackbody temperature compatible with our model:
![]() | (11) |
| P = s(T0 + ΔT)4hl ∼ 1 mW, | (12) |
![]() | ||
| Fig. 6 Blue radiation emitted when quickly peeling tape beyond the stick-slip threshold (i.e., at an average velocity greater than 15 cm s−1, see Fig. 5). This picture was captured in the dark by a standard reflex camera (ISO: 25600, shutter speed: 1/2 s, focal length: 60 mm, aperture: f/4). The low shutter speed ensures that enough light enters the camera, but then covers many stick-slip cycles of the peeling dynamics.37 Such fractoluminescence could be the mark of a very hot crack front40–42 when unrolling tape. | ||
Truly, fractoluminescence could emanate from other mechanisms than some hot matter radiation. It was for instance proposed67,72 that it partly arises from the molecules excitation of the fracture in situ air, by some electrical discharges between the two crack planes. Both these phenomena could surely coincide and, in any case, the light emission is an indication that some extreme and localised phenomena are at stake during fast failure. In that way, the thermodynamics model we propose holds some compatibility with that of Slepyan,2 where the abrupt advance of cracks derives from the emission of high frequency phonons, that excite atom bonds ahead of the tip, but that do not necessary thermalize.
Some relatively recent atomistic simulations73 seem nonetheless to confirm that the atoms at a moving front can undergo a significant heat. In a modelled graphene, Budarapu et al.73 thus inferred a 200 K temperature rise, over a 43 nm × 43 nm area surrounding a running tip. This estimation is interestingly compatible with the thermal maps presented in Fig. 3 and 5, for which the mean temperature is respectively 950 K and 350 K, when recomputed on a similar 1800 nm2 surface upon the front. Note that atomistic simulations might naturally be more proper than our mesoscopic description, in particular because the small scales (l) and high excitation frequencies (V/l) at play could call for more complicated models74,75 than plain Fourier diffusion, Arrhenius growth or blackbody radiation. Yet, atomistic simulations are by nature far heavier to run, requiring an accurate description of the atomic interactions onto femtosecond time steps.
The simplicity of the model can actually be considered as one of its strength, as the physics that it describes could apply to many different materials and not only to polymers. Accurately testing this idea would however require the full (G, V) curves of more materials, and those are often not trivial to obtain experimentally at all velocities. Such experimental work could yet be rewarding, as we have here shown that matching the model to some (G, V) curves can give some valuable insights on the rupture of matter. Our quantification for each model parameter stays however rather approximate, and we have mainly derived their orders of magnitude. We have, in particular, assumed that they were all constant for a given material, while most could be velocity or temperature dependent.18,24,76 For instance, the fact that PSA exhibits a larger scale viscous behavior (i.e., including fibrillation and heating over millimeters around the tip) at lower velocity36 could indicate that the heat production size l decreases with the crack speed in this medium. It is especially known that the elastic moduli in PSA are strongly temperature dependent,62 and this was actually proposed by Maugis21 and Carbone and Persson24 as the driving cause for failure instability in rubber-like materials. We have, besides, considered both PMMA and PSA as homogeneously tough while Gc is bound to present some quenched disorder. While such heterogeneities should not affect the stable propagation branches, as long as G and V are then understood quantities which are averaged over a few Gc correlation lengths, it could be of importance for the accuracy of the loads at which the phase transitions occur,28 as slow cracks shall preferentially avalanche on weaker zones and fast cracks stop on stronger locations. In the case of PSA, we have furthermore considered that peeling was a cohesive process (i.e., that it occurs inside the adhesive), while a bi-materials interfacial model would be more appropriate, as the crack essentially propagates at the interface between the substrate and the glue.77
These numerous limitations being stated, the parameters we have inverted are nonetheless in rather satisfying orders of magnitude, confirming the physical relevance of the model. Indeed, the intrinsic fracture energy in both materials Uc = d03Gc/(2ξ) is comparable to one electronvolt, which is typical for an energy that bonds atoms (e.g., see appx. E in ref. 6). Because our proposed description is statistical, one should remember that Uc is a mean material feature, for a rupture process that is made of several types of bond breaking. As a rough example, Uc ∼ 1 eV may indicate that the crack consummates in average three weak links (such as hydrogen or van der Waals bonds of respective energies6 ∼0.1 and ∼0.01 eV) for every stronger connection that snaps (say, one C–C link of an acrylic chain, of covalence energy6 ∼4 eV). The nanometric scale l for the heat generation may well correspond to the typical entanglement density in polymers57 (the density of polymeric chains crossing points in the matrix), below which atoms have more freedom to vibrate, and which is known to affect some rupture properties (e.g., ref. 52 and 57). It is also coherent that the generation of heat was inferred to occur over a length scale comparable to ξ, the equivalent radius describing the energy shielding of the tip. We have indeed derived that the former is a strong cause for the latter, as the heat efficiency ϕ was inverted to be non negligible (i.e., ϕ ∼ 0.2–1).
Similarly, for the materials that we have here studied, the usual predictions for the size of the shielding process zones are far larger than ξ. In PMMA, for instance, it is in the order of ξmacro ∼ GE/σy2∼ 200 μm, where σy ∼ 100 MPa is the tensile yield stress of the bulk polymer and E ∼ 3 GPa its Young modulus.55 However, in that description, σy is a stress that is averaged over a macroscopic sample, and is likely not representative of the actual energy density around the defaults of this sample. It was notably reported that a Dugdale80 like cohesion model (i.e., σ is homogeneously equal to σy in a process zone of radius ξmacro), poorly accounts for fast rupture in PMMA.81 Naturally, ξmacro is still to bear some significance, in particular as a characteristic length scale for crazing in acrylic glass,52 where a portion within (1 − ϕ) of the release rate G is to be dissipated, either by the creation of dislocations,51 the emission of waves42,50 or residual thermal effects. But ξ was inverted as an equivalent size, only defined by 2ξ/d0 = N with N the damping of the tip potential energy U due to the energy dissipation. We solely inverted N to be around 100 and 500 for respectively PSA and PMMA, and many links might well snap and heal far away from the tip, allowing for crazing.
Still, most of the rupture is likely to occur very close to the front where the stress is to be the highest. We can estimate such a stress at the tip by considering a simplified expression for the elastic energy stored in rupturing bonds:
![]() | (13) |
![]() | (14) |
![]() | (15) |
Thus, in addition to explaining, as shown in this work, the first order dynamics of singular fronts, concentrated thermal processes could also be responsible for their complexification at high propagation velocities. In the case of acrylic glass, we have notably inferred (see Section 3.2) that the appearance of the secondary fronts approximately coincides with energy release rates that are close to the (modelled) intrinsic barrier Gc. This concomitance could be explained by the need for new dissipation processes, when cracks propagate over-critically (G > Gc) so that some extra energy is brought to the rupture system. Such an idea is notably re-enforced by the fact that the density of nucleated micro-cracks was inferred to be proportional to a value comparable to G − Gc, as shown by Guerra et al.33
Thus, we inferred that the propagation of a crack can be sub-critical, even at velocities approaching that of the mechanical waves in the surrounding matrix, due to its potentially very high tip temperature. We also suggested that the microscopic healing process around a fracture front can significantly constrain the fast velocity regime, from the strong thermal activation at such temperatures, while it is often considered that healing is only relevant for very slow cracks. The existence of thousands of degree temperatures is actually supported by many experimental works that study the visible fractoluminescence of fast fronts.40–42,70 In some instance,73 it has also been modelled by some atomistic simulations, and we additionally showed, in the present work, the existence of bubble forming in the process zones of cracks in PMMA. We proposed that these bubbles could well originate from some local sublimation of the polymer near crack tips. As they are located at the nucleation centres of secondary fracture fronts, we also suggested that the complexification of cracks at high velocities could derive, as the rest of the propagation dynamics, from some thermally activated processes. Finally, for the two materials that we have studied, we have inferred that the mechanical stress around cracks remains an increasing quantity inside the process zones up to a few nanometers from the tip. Such a nanometric scale matches the typical size over which the heat was inferred to be generated, making thermal dissipation the likely main process that shields rupture fronts from mechanical failure.
In theory, the model could be reversed, and the fast propagation of cracks under a minimum load could be triggered by a very local heating of their fronts. Related experiments could for instance be performed with localized light pulses on material that are thin or transparent enough, for the heat elevation to be controlled. Certainly, elevated ambient temperatures are known to have a strong impact on the kinetics of fractures, both in the lab (e.g., ref. 30 and 86) and in nature.87
Noteworthily, the proposed model, and its ability to explain some actual crack dynamics, stresses the importance of the heat conductivity of materials on their macroscopic strength. A high conductivity indeed allows to evacuate the extra internal energy away from the fronts, thus delaying any thermal weakening. As a general statement, many strong materials happen to be good conductors, such as metals, graphene88 or spider silk.89 For the latter, it was in particular shown that, contrarily to most materials, its conductivity actually increases with deformation,89 which could well be a natural defence mechanism for the stability of arachnid webs. Designing human-made solid matrices that can replicate such a behavior on the molecular scale could then become a new important target of material sciences.
Finally, we suggest that most of the physics that we have introduced to study mode I fractures shall also be valid for mixed-mode fracturing as well as for solid friction. The latter is actually suspected to hold some non negligible, thermal related, weakening mechanisms (e.g., ref. 90), which could notably be a key in geophysics in understanding the stability of seismic faults. Such mechanisms might be diverse, and may include the thermal pressurisation of fault fluids91,92 or some changes in the fault planes minerals phase (i.e., such as melting or thermal decomposition).93 We propose that they could also be related to a thermally boosted sub-critical slip, in the sense of statistical physics and similarly to the model we have here developed.
Footnote |
| † Electronic supplementary information (ESI) available: A method for the measure of crack velocity versus energy release rate in PMMA, a model parameters sensitivity study, a method to asses the goodness of fit to the experimental data and a discussion on the healing processes in tape peeling. See DOI: 10.1039/d0sm01062f |
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