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(σ o ,σ c ) Preisach space. (Top) Preisach space with offdiagonal elements, σ c � σ o , used in the calculations leading to the results in Fig. 8 (left panels). (Bottom) Preisach space with diagonal elements only, σ c = σ o , used in the calculations leading to the results in Fig. 8 (middle, right panels). (Inset) Schematic of μ protocol used in all calculations. 

(σ o ,σ c ) Preisach space. (Top) Preisach space with offdiagonal elements, σ c � σ o , used in the calculations leading to the results in Fig. 8 (left panels). (Bottom) Preisach space with diagonal elements only, σ c = σ o , used in the calculations leading to the results in Fig. 8 (middle, right panels). (Inset) Schematic of μ protocol used in all calculations. 

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The behavior of hysteretic, coupled elastic and fluid systems is modeled. The emphasis is on quasistatic equilibrium in response to prescribed chemical potential (μ) protocols and prescribed stress (σ) protocols. Hysteresis arises in these models either from the presence of hysterons or from the presence of self-trapping internal fields. This latte...

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... probability density P (σ c ) is similarly distributed with σ c � σ o (Fig. 6). The system is driven by the applied stress caused by a uniform set of forces applied to the nodes on its right edge (Fig. 5). The applied stress protocol is shown in the inset in the lower right of Fig. 6. It starts at σ xx < min(σ o ). Thus, initially η = +1 for all elastic elements. We monitor the behavior of the system with the x ...
Context 2
... probability density P (σ c ) is similarly distributed with σ c � σ o (Fig. 6). The system is driven by the applied stress caused by a uniform set of forces applied to the nodes on its right edge (Fig. 5). The applied stress protocol is shown in the inset in the lower right of Fig. 6. It starts at σ xx < min(σ o ). Thus, initially η = +1 for all elastic elements. We monitor the behavior of the system with the x strain (the departure of the average position of the right edge of the system from its initial value) and the y strain (the change in the separation of the average position of the top edge form the average ...
Context 3
... Take the system through the stress protocol using the off-diagonal (σ c ,σ o ) distribution in Fig. 6 (top) and the applied stress version of the change of state rules, that is, the applied stress is used in place of the internal stress in the rules. See the − σ curves in Fig. 8 (left panels). (2) Take the system through the stress protocol using the diagonal (σ c ,σ o ) distribution in Fig. 6 (bottom) and the applied stress version of the ...
Context 4
... using the off-diagonal (σ c ,σ o ) distribution in Fig. 6 (top) and the applied stress version of the change of state rules, that is, the applied stress is used in place of the internal stress in the rules. See the − σ curves in Fig. 8 (left panels). (2) Take the system through the stress protocol using the diagonal (σ c ,σ o ) distribution in Fig. 6 (bottom) and the applied stress version of the change of state rules; that is, the applied stress is used in place of the internal stress in the rules. See the − σ curves in Fig. 8 (center panels). (3) Take the system through the stress protocol using the diagonal(σ c ,σ o ) distribution in Fig. 6 (bottom) and the internal stress version of the ...
Context 5
... using the diagonal (σ c ,σ o ) distribution in Fig. 6 (bottom) and the applied stress version of the change of state rules; that is, the applied stress is used in place of the internal stress in the rules. See the − σ curves in Fig. 8 (center panels). (3) Take the system through the stress protocol using the diagonal(σ c ,σ o ) distribution in Fig. 6 (bottom) and the internal stress version of the change of state rules, that is, the rules in the first paragraph of this section. See the − σ curves in Fig. 8 (right ...
Context 6
... the system is strained with an applied stress we expect the capacity for moisture uptake to change. In Fig. 16 Example with details. To illustrate the assembly of the ingredients required to carry through the recipe above we look at a particular problem in some detail. The elements are 328 triangles having 185 nodes, etc., as above. We work near the fiducial chemical potential μ = 0 with chemical potential scaled so that the values of the ...

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... Furthermore, hysteresis is the dependence of the system's response on its history (could be inelastic), which exists in rate-dependent and path-dependent problems such as plasticity, viscoelasticity and poroelasticity. In the latter case, this behaviour is due to the Fluid-Solid Interaction and the time/path-dependent nature of the problem due to fluid drainage or absorption [41]. The numerical examples performed in this section respond to the above-mentioned questions. ...
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... The internal microstructure of the base consisting of a viscoelastic skeleton and a filler fluid is considered by using the equations of a heterogeneous two-phase Biot's medium as determining ones [6][7][8][9]. The determination of the mechanical moduli for Biot's medium is a separate and very important problem. ...
... The viscosity of the composite matrix is considered within the model of frequency-independent internal friction. According to this approach, the shear modulus has the form of , where the value of is proportional to the loss coefficient of the viscoelastic material [9] and can be determined experimentally [14]. As a result, there is no small complex component in the coefficients of equation (2.1) [8,9]. ...
... According to this approach, the shear modulus has the form of , where the value of is proportional to the loss coefficient of the viscoelastic material [9] and can be determined experimentally [14]. As a result, there is no small complex component in the coefficients of equation (2.1) [8,9]. Within contact domain Ω, normal and shear stresses are connected through the Amonton-Coulomb law, , where is the friction coefficient. ...
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This paper aims at providing a methodological framework for investigating wood polymers using atomistic modeling, namely, molecular dynamics (MD) and grand canonical Monte Carlo (GCMC) simulations. Atomistic simulations are used to mimic water adsorption and desorption in amorphous polymers, make observations on swelling, mechanical softening, and on hysteresis. This hygromechanical behavior, as observed in particular from the breaking and reforming of hydrogen bonds, is related to the behavior of more complex polymeric composites. Wood is a hierarchical material, where the origin of wood-moisture relationships lies at the nanoporous material scale. As water molecules are adsorbed into the hydrophilic matrix in the cell walls, the induced fluid–solid interaction forces result in swelling of these cell walls. The interaction of the composite polymeric material, that is the layer S2 of the wood cell wall, with water is known to rearrange its internal material structure, which makes it moisture sensitive, influencing its physical properties. In-depth studies of the coupled effects of water sorption on hygric and mechanical properties of different polymeric components can be performed with atomistic modeling. The paper covers the main components of knowledge and good practice for such simulations.
... Derome et al. [50] showed that the swelling/shrinkage hysteresis of wood tissue is strongly linked to the moisture sorption hysteresis. Guyer et al. [51] suggested that the difference of forces induced by swelling and shrinkage is reflected by the difference of chemical potential required for adsorption and desorption, which is actually the difference in relative humidity required to obtain the same moisture content in a sorption loop. Hence, after being stored at 98% and 50% RH until attainment of equilibrium, nonwoven composites are in a desorption state. ...
... These mechanisms can include adhesion, i.e. the formation and breakage of adhesive necks connecting asperities of contacting surfaces [16][17][18], collective movements of dislocations engendering a phenomenon called kinking [19], or friction between faces of the internal contacts [20,21]. There also exists an application of the Preisach formalism to poroelastic materials [22]. ...
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The observation of a hysteretic stress-strain relationship is widespread for a large class of solids, such as rocks and other geomaterials, concretes, bones, etc. A common feature that unifies these materials is the presence of internal mechanical contacts in their structure, which can either be natural, or appear as the result of damage or fatigue in consolidated materials with an originally non-hysteretic mechanical response. Even though a number of physical mechanisms can be identified to account for mechanical hysteresis, at moderate and high strains, when typical internal contact displacements largely exceed the atomic size, a friction-based mechanism becomes of primary importance. As an alternative for a physics-based description, phenomenological approaches, ignoring the physical nature of hysteresis, are often used in numerical simulations. In this paper, we intend to bridge the physical mechanism of friction-based hysteresis with the phenomenological Preisach formalism, and derive the Preisach density in a compact analytical form for a model system that represents an elastic continuum with a large number of diversely oriented frictional cracks. We validate the physical crack friction model and its phenomenological Preisach counterpart with experimental data for Fontainebleau sandstone. The new formulations and the results could be of interest for materials scientists dealing with systems that show hysteretic elasticity and/or distributed damage, geomaterials or construction materials.
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... vior at macro-or structural scale. Final aim is to be able to adequately model sorption induced swelling and hysteresis. The models should be physically sound from one side, but also sufficiently simple to be used in engineering practice. Figure 5. Swelling strain versus moisture content as determined by dependent domain. No hysteresis is observed (Guyer et. al 2011). ...
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Thesis
The durability of reinforced concrete structures and their service life are closely related to the simultaneous occurrence of many physical and chemical phenomena. These phenomena are diverse in nature, but in common they are dependent on the moisture properties of the material. Therefore, the prediction of the potential degradation of cementitious materials requires the study of the movement of liquid-water and gas-phase transport in the material which is considered as a porous medium. In natural environment, structures are always affected by periodic variations of external relative humidity (RH). However, most moisture transport models in the literature only focus on the drying process. There are few researches considering both drying and wetting, although these conditions represent natural RH variations. Even few studies take into account hysteresis in moisture transport. Thus, this work is devoted to better understand how the moisture behaviour within cementitious materials responds to the ambient RH changes through both experimental investigations and numerical modelling. In particular, hysteretic effects will be included in numerical modelling. In this thesis, we first recalled a complicate multi-phase continuum model. By theoretical analysis and experimental verification, a simplified model can be obtained for the case of that the intrinsic permeability to liquid-water is smaller than the intrinsic permeability to gas-phase. The review of commonly-used hysteresis models enabled to conclude a set of best models for the prediction of water vapour sorption isotherms and their hysteresis. After that, the simplified model was coupled with selected hysteresis models to simulate moisture transport under drying and wetting cycles. Compared with experimental data, numerical simulations revealed that modelling with hysteretic effects can provide much better results than non-hysteresis modelling. Among different hysteresis models, results showed that the use of the conceptual hysteresis model, which presents closed form scanning loops, can provide more accuracy predictions. Further simulations for different scenarios were also performed. All comparisons and investigations enhanced the necessity of considering hysteresis to model moisture transport for varying relative humidity at the boundary. The investigation of moisture penetration depth could provide a better understanding of how deep moisture as well as ions can move into the material. Furthermore, the analysis revealed that the consideration of Knudsen effects for diffusion of vapour can improve the prediction of the apparent diffusivity