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Record W3036097659 · doi:10.1520/stp161720190154

Unintended Consequences: A Review of Critical Details, Serviceability, and Durability of Modern High-Performance Facades

2020· review· en· W3036097659 on OpenAlexaff
Jennifer Keegan, Matthew Ridgway

Bibliographic record

Venuenot available
Typereview
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsServiceability (structure)DurabilityUnintended consequencesArchitectural engineeringEngineeringComputer scienceCivil engineeringPolitical scienceLaw

Abstract

fetched live from OpenAlex

The design of modern high-performance facades for the construction industry’s largest and most significant projects often involves the use of prefabrication, modern glazing, or curtain wall technologies (or combinations thereof). As a means of quality assurance and control, we depend on familiar tools: applicable codes and industry standards, specified performance requirements, Building Enclosure Commissioning, best practices, warranties, performance mock-ups, performance verification testing, and field inspection. Yet even systems designed with the highest level of detail and the most rigorous quality assurance/quality control programs may still be undermined by piecemeal value management, shortcomings in coordination, and cost and schedule issues. The forensics of building enclosure science is replete with cautionary tales of building enclosures that were designed with the highest of aspirations but that failed to perform as intended. Using an institutional building constructed in 2001 as a case study, we will take a deep dive into the critical details (transitions within the assembly as it evolves from roof to wall, joints, and water management systems) and other sometimes vague requirements such as serviceability and durability. The advantage of hindsight during an evaluation is that we are able to evaluate individual failures as well as the relationship and cascading effects that failures can have on other time-dependent durability requirements. We will present a taxonomy for understanding and analyzing each individual failure, the relationships such failures have with one another, and the decisions made during a project. These organizational strategies may be useful tools when making decisions during early project phases. While the ultimate service life of many “modern” curtain wall systems is expected to exceed the careers of practitioners tasked with design, manufacture, and installation of the systems, a critical look at these issues will become increasingly important as the building stock of high-performance facades and architectural glass continues to age.

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)0.006
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.005
Science and technology studies0.0020.006
Scholarly communication0.0040.006
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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