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Record W3186953845 · doi:10.29173/mocs165

Cross-laminated Timber Tornado Safe Room as a Stand-alone Module

2015· article· en· W3186953845 on OpenAlexafffundvenue
Jose Daniel Candelario, Sylvain Gagnon

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2015
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsFPInnovations
FundersNatural Resources Canada
KeywordsTornadoPrefabricationEngineeringCross laminated timberLow-riseDemolitionCivil engineeringEnvironmental scienceArchitectural engineeringForensic engineeringGeology

Abstract

fetched live from OpenAlex

A tornado safe room is typically a small interior room such as an office or a bathroom which is strengthened in order to provide occupants with near-absolute protection during extreme loading events such as tornadoes. The loads associated with extreme wind loading events are generally in the form of wind induced pressures or impact loading from windborne debris. These rooms are designed to be structurally independent so as to maintain their integrity given the destruction of the surrounding structure. Prefabrication of such rooms as a stand-alone module can be an important advantage since the proper installation of the connection system is particularly critical to its structural performance. Furthermore, the safe room may be fabricated with utility services such as plumbing, electrical, and HVAC systems. Cross-laminated Timber (CLT) is an innovative engineered wood product that has been increasingly used in building construction over the past decade. It is a massive timber slab with excellent strength and stiffness properties as well as remarkable fabrication precision and dimensional stability. In this study, the feasibility and potential for a modular tornado safe room constructed out of CLT panels is discussed. Such structures may represent viable solutions for difficulties associated with residential safe room construction providing a safe, more sustainable, and potentially economic alternative to conventional systems.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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 teacher head, not a consensus.

Study designObservational
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
Published2015
Admission routes3
Has abstractyes

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