Abstract
Real building`s and their components experience dynamic thermal transmission. It is possible to represent thermal transmission as either a supposition of local constitutive convolution equations in a local region of the solid or as a directed graph network between connected thermodynamic regions within the solid. The purpose of this paper is to show that only the local constitutive equations yield, for all cases considered, the correct values for the physical properties of the materials under test, whereas the directed graph network representations are unreliable. This is because directed graph network representations are ill posed for the one dimensional flow case and are likely to lead to erroneous predictions for the design performance of buildings. The local constitutive equations allow the measurement of thermal conductivity and transmission of building components in the field. Thus providing a unique insight into the actual thermal performance of constructions in use. (1 figure, 2 tables). (Author)
Irving, A D;
[1]
Dudek, S;
Warren, G;
[2]
Dewson, T
[3]
- Rutherford Appleton Lab., Chilton (United Kingdom)
- Newcastle upon Tyne Univ. (United Kingdom). Dept. of Building Science
- Bristol Univ. (United Kingdom). Dept. of Mathematics
Citation Formats
Irving, A D, Dudek, S, Warren, G, and Dewson, T.
Estimating the thermal transport properties of building components.
United Kingdom: N. p.,
1993.
Web.
Irving, A D, Dudek, S, Warren, G, & Dewson, T.
Estimating the thermal transport properties of building components.
United Kingdom.
Irving, A D, Dudek, S, Warren, G, and Dewson, T.
1993.
"Estimating the thermal transport properties of building components."
United Kingdom.
@misc{etde_10124768,
title = {Estimating the thermal transport properties of building components}
author = {Irving, A D, Dudek, S, Warren, G, and Dewson, T}
abstractNote = {Real building`s and their components experience dynamic thermal transmission. It is possible to represent thermal transmission as either a supposition of local constitutive convolution equations in a local region of the solid or as a directed graph network between connected thermodynamic regions within the solid. The purpose of this paper is to show that only the local constitutive equations yield, for all cases considered, the correct values for the physical properties of the materials under test, whereas the directed graph network representations are unreliable. This is because directed graph network representations are ill posed for the one dimensional flow case and are likely to lead to erroneous predictions for the design performance of buildings. The local constitutive equations allow the measurement of thermal conductivity and transmission of building components in the field. Thus providing a unique insight into the actual thermal performance of constructions in use. (1 figure, 2 tables). (Author)}
place = {United Kingdom}
year = {1993}
month = {Oct}
}
title = {Estimating the thermal transport properties of building components}
author = {Irving, A D, Dudek, S, Warren, G, and Dewson, T}
abstractNote = {Real building`s and their components experience dynamic thermal transmission. It is possible to represent thermal transmission as either a supposition of local constitutive convolution equations in a local region of the solid or as a directed graph network between connected thermodynamic regions within the solid. The purpose of this paper is to show that only the local constitutive equations yield, for all cases considered, the correct values for the physical properties of the materials under test, whereas the directed graph network representations are unreliable. This is because directed graph network representations are ill posed for the one dimensional flow case and are likely to lead to erroneous predictions for the design performance of buildings. The local constitutive equations allow the measurement of thermal conductivity and transmission of building components in the field. Thus providing a unique insight into the actual thermal performance of constructions in use. (1 figure, 2 tables). (Author)}
place = {United Kingdom}
year = {1993}
month = {Oct}
}