Title :
Estimate Thermo-physical Parameters from Characterization of the Building Materials by Using Artificial Intelligence
Author_Institution :
Ecole Energy & Environ., Univ. of Perpignan, Perpignan, France
Abstract :
To detect some invisible defects of building materials such as delamination, this paper presents applied different methods in the past and compare with Artificial Neural Networks to assess building performances. These methods to assess energy building performance have been applied for estimating the thermal properties of different building materials. The measurements used in this article were obtained by a photo thermal method.
Keywords :
building materials; buildings (structures); delamination; neural nets; parameter estimation; structural engineering computing; thermal properties; artificial intelligence; artificial neural networks; building materials characterization; delamination; energy building performance assessment; photo thermal method; thermal properties; thermo-physical parameter estimation; Artificial neural networks; Buildings; Conductivity; Heating; Materials; Thermal conductivity; Training; Artificial neural networks; Building materials; Energy performances; Heat loss; Inverse problem; Thermo physical parameters;
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-6239-9
Electronic_ISBN :
978-0-7695-4952-1
DOI :
10.1109/WAINA.2013.243
