Maintenance of Plastered and Painted Facades for Singapore Public Housing: A Predictive Life Cycle Cost-Based Approach
Bibliographic record
Abstract
A major component of building maintenance costs is spent on the maintenance and repair of building façades. With maintenance budgets escalating day by day, in order to reduce the overall building maintenance expenditure, it has become necessary to minimise the total maintenance cost incurred during the lifetime of the façade while adhering to the specified performance requirements at the same time. This paper describes the framework for the development of a life cycle cost based model for maintenance of plastered and painted facades in the public high-rise residential sector in Singapore. A two-pronged approach is presented whereby: a. the onset and extent of spread of different defects in the paint and plaster layers is predicted andb. the optimum timing and the corresponding minimum maintenance/repair costs that would be incurred to rectify these defects are determined in order to satisfy prescribed maintenance standards. The envisaged life cycle cost model would serve as a valuable tool for property and building managers by providing a cost effective maintenance programme for plastered and painted facades.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".