Published in Transport in Porous Media, 2012
The effects of diffuse damage caused by mechanical loading on the water vapour permeability of fibre-reinforced mortar were studied.
Published in Construction and Building Materials, 2012
This paper aims at applying experimental non-destructive techniques for the observation of fracture patterns and of fluid flow in fractures, in order to provide this data to models for fluid transfer in fractured porous media.
Published in Construction and Building Materials, 2013
Digital image correlation (DIC) and acoustic emission (AE) monitoring were simultaneously performed during tensile loading tests of fibre reinforced mortar samples.
Published in European Journal of Environmental and Civil Engineering, 2013
This is a methodology for the detection and monitoring of damage and fractures in building materials
Published in International Journal of Heat and Mass Transfer, 2013
This paper aims at showing 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.
Published in Journal of Building Performance Simulation, 2015
This paper proposes the application of the covariance matrix adaptation (CMA) evolution strategy for the identification of building envelope materials hygrothermal properties.
Published in Building and Environment, 2016
Hygric characterization of wood fibre insulation boards, using dynamic measurements of relative humidity and sample weight, analyzed in the frame of Bayesian inference for parameter identification under uncertainty.
Published in Sustainable Cities and Society, 2017
We present a building design optimization methodology that has been developed to address issues that researchers and engineers are currently facing when addressing the life cycle optimization of Nearly Zero Energy Buildings (NZEBs)
Published in Energy and Buildings, 2018
This paper is a tutorial on the formalism of inverse problems in building physics and the most common ways to solve them.
Published in Building and Environment, 2018
This paper investigates how accounting for modelling errors affects the results of model calibration.
Published in Energy and Buildings, 2019
The present study uses the Sequential Monte Carlo method to train a lumped building energy model (RC model), and thus estimate a Heat Loss Coefficient, and other parameters, sequentially.
Mis à jour :
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Mis à jour :
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Undergraduate course, University 1, Department, 2014
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