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Record W6981915155

Frost Damage of Internally Insulated Retrofitted Solid Brick Walls: Experimental Work and Hygrothermal Modeling

2023· other· en· W6981915155 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2023
Typeother
Languageen
FieldSocial Sciences
TopicGerman Social Sciences and History
Canadian institutionsnot available
Fundersnot available
KeywordsDurabilityBrickFrost (temperature)RetrofittingService lifeThermal insulationThermalWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Frost damage is one of the most common deteriorations in porous clay bricks. Furthermore, adding internal thermal insulation (ITI) to a building envelope increases its thermal resistance and decreases conductive heat loss; however, it may cause durability performance issues of the wall in cold areas. Although numerous previous studies have examined the addition of ITI, there is still a need for additional research on this subject that considers other factors, including brick properties (BP), wind-driven rain (WDR) exposure levels, and insulation thicknesses and types. Considering exposure level, this study investigates frost durability (FD) and BP of five brick types and their effect on the retrofitting process. This study is divided into two sections: the first is to predict the FD of five brick types using three different methods: Canadian standard CSA A82.1, critical degree of saturation (Scrit), and durability factor (Df); the second is coupling Scrit measurements and BP with predictive modelling hygrothermal performance to assess the risk of freeze damage using hygrothermal simulation program WUFI Pro 6.5. The results revealed that the five brick types presented interesting variations between their properties, probably due to the effects of the service life for old brick types, where it has been manufactured and built for hundreds of years, the manufacturing process for new bricks, and heterogeneity between samples in terms of pore size distribution. Therefore, comprehending the influence of BP on the frost resistance (FR) of clay bricks plays a fundamental role in controlling the FD phenomena and avoiding the deterioration of the clay bricks, particularly after adding ITI. A good correlation was found between 5-h BWA, C/B, A-value, and 24-h CWA. The Scrit is around 55%, 50%, 50, 65%, and 35% of ERP, ERU, ENB, ENO, and IRM, respectively, ±5%. An empirical formula was developed to determine Scrit based on 24-h CWA, 5-h BWA, and compressive strength. The modelling showed that depending on the BP and moisture exposure level, adding ITI increases frost damage (FD) mainly in the second layer (i.e., 15 mm inwards from the outer side) and the middle layer and adding ITI did not impact walls made with samples having a Scrit of 0.60 or higher, even when subjected to higher WDR. In contrast, clay bricks with a Scrit of 0.55 or less require additional attention, particularly when exposed to higher WDR. Furthermore, depending on the 24-h CWA standard limit may provide a good result for preventing FD after adding ITI; however, the 24-h CWA of a brick is not an absolute indicator to predict FR. In addition, the insulation types and level do not impact FD for the wall made with brick samples with a Scrit of 50% and higher. Although correlations in the BP were found in the experimental and the modelling phases, a certain percentage of bricks are likely to fail, given the wide variation in properties.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.312
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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