Simon Rouchier

TL;DR: In this article, the authors developed a methodology for the detection and monitoring of damage and fractures in building materials in the prospects of energetic renovation by using digital image correlation (DIC) and acoustic emission (AE) monitoring.

TL;DR: In this paper, the application of the covariance matrix adaptation (CMA) evolution strategy for the identification of building envelope materials hygrothermal properties was proposed, where all material properties were estimated on the basis of local temperature and relative humidity measurements, by solving the inverse heat and moisture transfer problem.

TL;DR: Investigating how accounting for modelling errors affects the results of model calibration shows that stochastic modelling considerably increases the uncertainty of parameter estimates, but ensures their consistency between separate trainings, whereas deterministic models are less robust and offer a less reliable forecasting.

TL;DR: In this article, the potential consequences of cracking on the heat and moisture transfer across building facades, in order to justify the need for the identification of damage to prevent durability and thermal issues.

TL;DR: In this paper, the authors apply experimental non-destructive techniques for the observation of fracture patterns and fluid flow in fractures, in order to provide this data to models for fluid transfer in fractured porous media.