Symbolic Monte Carlo method applied to the identification of radiative properties of a heterogeneous material

• DOI: 10.1016/j.jqsrt.2020.107019
• Publication Date: 2020-04-21T00:31:13Z
• Authors: Yassine Maanane; Maxime Roger; Agnès Delmas; Mathieu Galtier; Frédéric André
• Keywords: [SPI]Engineering Sciences [physics]; Identification; Insulating materials; [SPI] Engineering Sciences [physics]; Radiative Transfer; 0202 electrical engineering, electronic engineering, information engineering; Radiative properties; Symbolic Monte Carlo (SMC); 02 engineering and technology; Polynomials

A Symbolic Monte Carlo method (SMC) is applied to the identification of radia-tive properties of a heterogeneous semitransparent insulating material from measurements of directional-hemispherical transmittance and reflectance at room temperature. The polynomials obtained with SMC allow the development of a complete inverse analysis which determines if the inverse problem solution exists , is unique and stable. Moreover, the numerical efficiency of the absorption and scattering coefficients identification is improved since the radiative transfer equation is only solved once in the overall inverse iterative procedure.