Amanote Research

Amanote Research

    RegisterSign In

Artificial Intelligence Tools and Inverse Methods for Estimating the Thermal Diffusivity of Building Materials

Energy and Buildings - Netherlands
doi 10.1016/j.enbuild.2010.10.020
Full Text
Open PDF
Abstract

Available in full text

Categories
BuildingElectronic EngineeringMechanical EngineeringCivilStructural EngineeringConstructionElectrical
Date

February 1, 2011

Authors
Stéphane GrieuOlivier FaugerouxAdama TraoréBernard ClaudetJean-Luc Bodnar
Publisher

Elsevier BV


Related search

Inverse Method for Estimating Local Thermal Diffusivity of Biomaterials

Journal of Thermal Science and Technology
Materials ScienceInstrumentationMolecular Physics,EngineeringAtomicOptics
2013English

Multisensor Methods to Estimate Thermal Diffusivity

2012English

Safe Artificial Intelligence and Formal Methods

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2016English

Artificial Intelligence Is Aiding the Search for Energy Materials

MRS Bulletin
Materials ScienceTheoretical ChemistryCondensed Matter PhysicsPhysical
2019English

Thermal Insulation Materials for Building Applications

2019English

A Correlation of Air-Coupled Ultrasonic and Thermal Diffusivity Data for CFCC Materials

Ceramic Engineering and Science Proceedings
English

Application of IRNDT Method for Materials in Wide Range of Thermal Diffusivity

2016English

Building New Generation Firewall Including Artificial Intelligence

International Journal of Computer Applications
2019English

Methods for Characterizing Adobe Building Materials

1978English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy