| Tartalom: |
https://acta.sze.hu/index.php/acta/article/view/375 |
| Archívum: |
Acta Technica Jaurinensis |
| Gyűjtemény: |
Architecture and Civile Engineering
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| Cím: |
Estimating the Thermal Bridge at Wall Corners with Artificial Neural Network
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| Létrehozó: |
Orosz, M.
Csanaky, J.E.
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| Kiadó: |
CrossRef
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| Dátum: |
2015-07-30
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| Tartalmi leírás: |
Nowadays there are several software products to simulate the heat transfer at thermal bridges. These sophisticated tools are mostly based on Finite Difference or Finite Element Methods. However, there is a demand from energy modelers to estimate the linear thermal transmittance and the lowest internal surface temperature from existing data, instead of employing time-consuming simulations for each case. This paper investigates wall corners with and without thermal insulation by using Artificial Neural Network (ANN), as a Soft Computing technique. It gives simple formulas that estimate the thermal bridge at wall corners with an acceptable level of accuracy.
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| Nyelv: |
angol
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| Típus: |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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| Formátum: |
application/pdf
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| Azonosító: |
10.14513/actatechjaur.v8.n3.375
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| Forrás: |
Acta Technica Jaurinensis; Vol 8 No 3 (2015); pp. 230-239
2064-5228
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| Kapcsolat: |
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| Létrehozó: |
Copyright (c) 2015 Acta Technica Jaurinensis
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