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Enregistrement W2313374887 · doi:10.1061/41000(315)6

Implementation of Building Information Modeling (BIM) on the Renovation of the Art Gallery of Alberta in Edmonton, Alberta

2008· article· en· W2313374887 sur OpenAlexaboutno aff
Derrick Roorda, Mei Kuen Liu

Notice bibliographique

RevueStructures Congress 2008 · 2008
Typearticle
Langueen
DomaineEngineering
ThématiqueBIM and Construction Integration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBuilding information modelingLEAPSArchitectureArgument (complex analysis)Architectural engineeringUpgradeExhibitionComputer scienceInformation modelEngineeringSoftware engineeringBusinessOperations managementVisual arts

Résumé

récupéré en direct d'OpenAlex

There is little argument that Building Information Modeling is the way of the future in the AEC industry; however, few would freely admit that the future is not here yet for the type of the building projects that the current wave of architecture is pushing for. It is interesting to note that for most of the conferences and presentations widely available on this hot topic, few negative opinions are voiced. We found the article by Michael Tardif, titled "Faith-based BIM," to be one of the few such articles. While with each release of the BIM upgrade, the programs improve by leaps and bounds, as of the time of writing it is still very cumbersome, inaccurate, if not plain impossible, to model more complex geometry so prevalent in modern architecture, as so noted by the authors' experience, as well as Dr. Lachmi Khemlani's honest review on the AECbytes website. Of equal, if not more, importance is the lack of standard and clear delineation of liability in the building information model between the design and construction team. For an ideal project to be conceived in BIM, there needs to be a high level of trust between various parties involved that are unfortunately not commonly found in the current atmosphere of the industry. A series of surveys commissioned anonymously by Adobe Systems in 2004 and 2006 revealed an interesting finding that was covered in Sara Ferris' article on the Cadalyst. Amid the advancement and widespread availability of computing power, the AEC industry is relying on paper more than before: CAD files are reviewed in paper format more often in 2006 than in 2004. In 2004, 33% of the responders reviewed CAD files solely in electronic format, and that number dropped to 23% by year 2006. This apparent regression of acceptance in technology was commonly attributed to concerns about document security, with a substantial size of the responders sharing documents in noneditable digital format (e.g. TIFF or PDF) at 44%, and with another 37% of the survey participants providing paper copies only. While this particular survey did not cover the topic of BIM and the sharing of data in a central model, one gets an idea of what kind of comfort level the industry is currently operating in and thus the resistance one can expect for the implementation of BIM across not just the offices of the various design consultants, but more importantly, between the design team and the construction team, and ultimately, given to the building users for long term maintenance. For our project, the design team is comfortable and has prior experience with sharing information electronically for construction. However, the decision was made that only Rhinoceros files were released to the construction team for geometry control. The BIM files were only used to produce 2D construction drawings and were not released as part of the construction document due to unclear liability issues. At the time of writing, all eyes are on the National Institute of Building Sciences on their National Building Information Model Standard project. As part of the buildingSMART Initiative, this committee is charged with the follow standards: BIM scope, Coverage of Version, Reference Standards, Business Processes, Business Rules, Data Structures and Models, Implementation Guidance, and Maturity Model. It is the hope that with better definition of BIM, the AEC industry can have a better understanding of the risk involved in its implementation and thus be able to better manage the associated risk and make an informed decision about its adoption.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,067
Score d'incertitude au seuil0,143

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0050,002
Communication savante0,0040,001
Science ouverte0,0020,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0250,003

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,225
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations12
Publié2008
Routes d'admission1
Résumé présentoui

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