Effects of selected wall orientation on the moisture performance of building envelope
Notice bibliographique
Résumé
Hygrothermal simulations are necessary to permit analyzing moisture performance when designing wall assemblies. To limit the number of simulations, simulations are performed on a limited number of wall orientations, usually the orientation that potentially leads to the worst moisture response, which is assumed to be the one receiving the highest amount of wind-driven rain (WDR). The objective of this work was to verify this assumption considering different wall assemblies and climate conditions. Four cardinal orientations (North, East, South and West) and the wall orientation receiving the highest amount of annual WDR, hereafter called default orientation. The study was conducted for four different wood-frame wall systems that differ by their claddings assembly: brick veneer, fiberboard, stucco, and vinyl. Eleven Canadian cities belonging to different climate zones were considered: Calgary (AB), Charlottetown (PE), Halifax (NS), Moncton (NB), Montreal (QC), Ottawa (ON), Saskatoon (SK), St. John’s (NL), Toronto (ON), Vancouver (BC) and Winnipeg (MB). Three scenarios were investigated. In the first case, it was assumed that there is no rain deposition on the exterior surface of the cladding (no WDR) and as consequence no rain infiltration (no moisture source). The second scenario assumed rain deposition on the exterior surface of the cladding, but no rain infiltration. The final scenario assumes rain deposition on the exterior surface of the cladding and rain infiltration through the deficiencies in the cladding. For this last scenario, the amount of rain that penetrates through openings and reaches the sheathing membrane was assumed to be 1% of the WDR as suggested by the ASHRAE Standard 160. The analyses were performed using the wettest year in each city selected among the 31-year historical climate data based on Moisture Index (MI) ranking. For the performance analysis, four different performance indicators were evaluated: Maximum Moisture Content (MC) value in the OSB, Average MC in the OSB, Maximum Mould Index (MoI) value in the outer layer of OSB and Average MoI value in the outer layer of OSB. The mould index values were negligible for the cases where there was no WDR and only WDR. Therefore, the mould index analysis was limited only for the third scenarios wherein the water infiltration was assumed. The results obtained with the four performance indicators were similar. Therefore, only the results obtained for the maximum moisture accumulated in the OSB were analyzed. For the scenario assuming no WDR and no moisture source, it was observed that, irrespective of the orientation, cladding and city, it is the north direction that leads to the worst moisture performance. For the second scenario assuming WDR but no water infiltration and for that assuming WDR and moisture source, it was found that the default orientation leads to highest moisture accumulation in most the cities while in the remaining cities, the maximum moisture accumulation occurred in other orientations than the default one. The critical case was Montreal where the moisture accumulated in OSB using default orientation (North) was significantly different than the maximum values obtained in the East direction. Overall, the results showed that, for the wall assemblies and cities considered in this study, the North orientation is the one that leads to the worst moisture performance when the wall is well protected against rain deposition. In the scenarios where there is rain deposition on the wall or water infiltration, the orientation receiving the highest amount of annual WDR generally leads to the worst moisture response. However, using only the total amount of WDR may not be sufficient for all the cities and an analysis of hourly distribution of WDR will be required before selecting the orientation for undertaking hygrothermal simulations
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».