The computational model proposed in [7] is based on the coupling between a diffusion-reaction model and a mechanical model. The framework allows to simulate the spatial growth of a metal soap crystal, and computes the corresponding stress and strain fields generated inside a paint layer. Although the model formulation is three-dimensional, in order to keep computational times manageable, in this communication three-dimensional paint configurations are simplified to two-dimensional plane-stress models. The computational results are also applicable to two-dimensional plane-strain models, by converting the definitions for the effective elastic stiffnesses, Poisson’s ratios and growth strain accordingly [7]. The three-dimensional simulation of representative paint configurations remains a topic for future research. For clarity, the adopted assumptions and modelling strategy are reviewed below.
Modelling assumptions
The complex chemical processes resulting in metal soap formation are modelled in accordance with a series of assumptions. First, the paint is idealised as a homogeneous domain with a specific initial concentration of saturated fatty acids. Pigment particles are not explicitly modelled; their properties are incorporated in the effective behaviour of the paint material. Next, the metal soap growth process is assumed to depart from a pre-existing crystalline nucleus of a (small) specified size. The spatial growth of the metal soap crystal occurs by defining a moving reaction zone at the interface between the crystal and the paint material. Additionally, only the irreversible part of the chemical process leading to metal soap formation is modelled, i.e., the intermediate, amorphous state of the metal soap is neglected. This implies that crystalline metal soap immediately forms upon the reaction between metal ions and saturated fatty acids. Based on this assumption, the reaction scheme for the formation of crystalline metal soap can be written as [7]:
$$\begin{aligned} {\rm{M}} + n{\rm{R}} \quad \xrightarrow {\; k_{\rm{crys}} \;} \quad \underset{\rm{crystalline}}{{\mathop{\rm{c- M(RCOO)}_n}\limits ^{}}}, \end{aligned}$$
(1)
where M + nR designates a metal ion M reacting with n fatty acid chains R, as a result of which crystalline metal soap \({\rm{c- M(RCOO)}}_n\) forms. The crystallization rate is denoted as \(k_{\rm{crys}}\). For the preservation of museum collections, the indoor climate fluctuations, characterized by temperature and relative humidity variations, are typically kept within relatively strict bounds [8, 9]. As a first modelling step, the dependency of the metal soap reaction rate on these factors is therefore neglected in the present analyses. However, environmental conditions can generally influence both the mechanical properties [10] and the chemical characteristics [11, 12] of paint layers, and may affect the choice of conservation treatments [13]. The sensitivity of metal soap formation to temperature and relative humidity variations still needs to be better quantified in experiments in order to adequately account for this effect in the modelling of chemo-mechanical degradation of paint systems. Hence, this is a topic for future study.
Modelling strategy
The reaction scheme described above is translated into a diffusion-reaction model along the lines of [14]. The diffusion-reaction equation is expressed in terms of the concentration of free saturated fatty acids. The reaction kinetics is incorporated in a sink term, with its value being proportional to the rate of crystalline metal soap formation. In a second equation, the time evolution of the crystalline metal soap is specified as a function of the concentration of saturated fatty acids available for the reaction and the volume fraction of the paint material in which metal soap has not yet formed, see [7] for more details.
The spatial growth of a metal soap crystal, which occurs in a small reaction zone at the boundary of the crystal, induces a strain field (and a corresponding stress field) in the paint system. This coupling between the chemical and mechanical fields is quantified by defining a chemically-induced growth strain, which is taken proportional to the volume fraction of crystalline metal soap generated. Moreover, changes in the mechanical properties associated to crystalline metal soap formation are determined by using a rule of mixtures, in which the effective stiffness is calculated as the volume average of the properties of the chemical phases present in the specific material point. Mechanical equilibrium equations finally complete the chemo-mechanical modelling of the paint system.
The chemical and mechanical models are solved with the aid of the finite element method (FEM). Accordingly, the paint geometry is discretized into plane-stress continuum elements that simulate the two-dimensional bulk responses of the metal soap and paint materials. In accordance with the approach originally proposed in [15], cohesive interface elements are placed in between all continuum elements modelling the paint configuration, see Fig. 2, thereby allowing to describe the nucleation and propagation of relatively complex, discrete cracking patterns. The mesh density used in the FEM simulations is similar to that of the simulations presented in [7], whereby it has been confirmed that the spatial discretization is sufficiently fine for obtaining converged numerical results. The constitutive behaviour of a crack is simulated with the interface damage model proposed in [16]. The appearance of cracks locally hampers the diffusion of saturated fatty acids; this effect is accounted for by making the flux-concentration relation of the fatty acid at the crack surfaces a function of the mechanical damage generated, see [7] for more details.
The numerical solution procedure is based on a staggered scheme, in which the chemical and mechanical fields are analysed sequentially in an incremental-iterative fashion, as summarized in Table 1.
Table 1 Staggered approach used in the incremental-iterative solution procedure