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Record W2936876376 · doi:10.29173/mocs8

Integration of BIM and Computer Simulations in Modular Construction, A Case Study

2016· article· en· W2936876376 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2016
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
FundersChongqing Graduate Student Research Innovation Project
KeywordsBuilding information modelingModular designBridge (graph theory)Modular constructionComputer scienceDiscrete event simulationModularity (biology)Systems engineeringProductivityConstruction industryEvent (particle physics)Construction engineeringSoftware engineeringEngineeringSimulationOperations management

Abstract

fetched live from OpenAlex

Construction Sector has long been criticized for its lower productivity compared with other industries. To address the problem, recent years, new construction methods and information techniques such as modular construction and Building Information Modelling (BIM) are developed and implemented. Besides, computer simulations, like Discrete Event Simulation (DES) and Agent Based Simulation (ABS), are also incorporated in construction sector. Despite contributions of the 3 techniques to the industry have been investigated respectively by many researches, more benefits could be brought if they are applied simultaneously. However, there is no comprehensive research yet to combine all of them in a single project. To bridge the research gap, this paper first briefly introduces strengths and current applications of the 3 techniques; then a framework integrating them together containing simulation module, BIM database module and decision making module is constructed; finally, a case study of a multistoried canteen project is demonstrated to further explain functions of the framework.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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