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Record W2955398845 · doi:10.22260/isarc2019/0025

An Analysis of the Problems of BIM-Based Drawings and Implementation During the Construction Document Phase

2019· article· en· W2955398845 on OpenAlexaboutno aff
Yije Kim, Sangyoon Chin

Bibliographic record

VenueProceedings of the ... ISARC · 2019
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
Fundersnot available
KeywordsComputer sciencePhase (matter)Engineering drawingEngineering

Abstract

fetched live from OpenAlex

An Analysis of the Problems of BIM-Based Drawings and Implementation During the Construction Document Phase Yije Kim and Sangyoon Chin Pages 179-186 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: As construction projects become larger and more complex and the amount of information increases, the necessity of introducing BIM becomes bigger and the importance of BIM-based drawing extraction is also increasing. In particular, the construction document (CD) stage draws and documents the subjects determined from the project planning stage so that actual construction can be possible. Therefore, information management and drawings using BIM in the CD stage have a great impact on the design, construction, and maintenance stages. However, in practice, the BIM results in the CD stage do not include all the necessary information in the construction stage, and the practical use of the drawings extracted from BIM is low. To solve this problem, this study first analyzed the current status and level of BIM-based drawings in the CD stage by investigating projects that apply BIM in the Korean construction market. Next, the limitations and problems of BIM-based drawings are analyzed from a practical perspective by experts using the Delphi method. Finally, based on the results, methods to improve BIM-based drawings and work efficiency are discussed. The results of this study can be interpreted based on how the BIM is perceived in different country. However, this study analyzes the current status and problems of BIM applications from general and practical perspectives. It will contribute to further activation of BIM in the architecture, engineering, and construction (AEC) industry if BIM-based drawing standards are established based on this study and follow-up studies are conducted on the development of quality and consistency review models for BIM-based drawings. Keywords: BIM; BIM-based drawings; Construction documents; Construction drawings; Construction document phase DOI: https://doi.org/10.22260/ISARC2019/0025 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley

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)0.042
metaresearch head score (Gemma)0.140
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.140
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.011
Science and technology studies0.0040.004
Scholarly communication0.0100.009
Open science0.0040.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.004
GPT teacher head0.228
Teacher spread0.224 · 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 designQualitative
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

Citations5
Published2019
Admission routes1
Has abstractyes

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Same venueProceedings of the ... ISARCSame topicBIM and Construction IntegrationFrench-language works237,207