Estimate Thermo-physical Parameters from Characterization of the Building Materials by Using Artificial Intelligence

Author

Thanh Nga Thai

Author_Institution

Ecole Energy & Environ., Univ. of Perpignan, Perpignan, France

fYear

2013

fDate

25-28 March 2013

Firstpage

329

Lastpage

334

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WAINA.2013.243

Filename

6550419