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Record W2953959273 · doi:10.29173/mocs111

Development of a Design-Driven Parametric Mass Timber Construction System for Modular High-Rise Urban Housing

2019· article· en· W2953959273 on OpenAlexfundvenueaboutno aff
Oliver Lang, Cindy C. Wilson, Clayton Blackman, Ryan Gillespie, Oliver David Krieg, S. A. Uddin

Bibliographic record

VenueModular and Offsite Construction (MOC) Summit Proceedings · 2019
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsModular designArchitectural engineeringArchitectureProcess (computing)EngineeringCivil engineeringSustainabilityConstruction engineeringSustainable developmentParametric statisticsRetrofittingComputer scienceSystems engineeringGeographyStructural engineering

Abstract

fetched live from OpenAlex

This paper presents the outcome of an ongoing research and development process at Lang Wilson Practice and Architecture Culture and Intelligent City on a parametric mass timber construction system for modular mid- to high-rise urban housing that started in 2006. The system was developed to systematically address the urban housing crisis in North America, and it is currently applied in two Canadian housing projects in seismic zones with 4 and 12 storeys in an evolution from previous modular housing projects by the companies. The first part of this paper explains the holistic, design-driven and parametric approach to urban housing, and how platform-based design is critical for an adaptable, sustainable and qualitative urbanization. Criteria of livability, affordability and sustainability inform the development of a customizable and modular mass timber building system, which can adapt to grid spacing and module sizes as well as to structural requirements for up to 18 floors in seismic zones. The building system is developed to meet Passive House certification and to be fully prefabricated. Constructional innovations within the system reduce the typical redundancy of doubled-up material layers of modular construction. In the second part, the authors explain how the building system is also the result of the development of a fully parametric design tool that allows not only for the optimization of building typology, home layouts or even energy consumption, but also automatically adapts the geometry of all mass timber building elements. This high level of parametrized building information density in an early stage of the design process allows for an unprecedented collaboration of designers, architects and engineers while ensuring constructability. In the last part the authors present a case study, explaining the advantages and challenges of such a collaborative effort and explain how they successfully obtained approvals to build a 12-storey mass timber housing project.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.183
Teacher spread0.174 · 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 designBench or experimental
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

Citations2
Published2019
Admission routes3
Has abstractyes

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