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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
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A construction classification system database for understanding resource use in building construction.

Gursans Guven1, Aldrick Arceo2, Allison Bennett2

  • 1University of Toronto, Department of Civil and Mineral Engineering, Toronto, Ontario, M5S 1A4, Canada. gursans.guven@utoronto.ca.

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This study introduces a standardized building material data structure and a dataset for 70 North American buildings. This facilitates understanding material use in construction and identifying reduction opportunities.

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Area of Science:

  • Construction Management
  • Sustainable Building Materials
  • Building Performance Analysis

Background:

  • The construction sector extensively uses primary materials, but data scarcity and inconsistency hinder analysis of material use and impacts.
  • Existing studies lack standardized data structures, complicating comparisons and broader insights into building material consumption.

Purpose of the Study:

  • To propose and demonstrate a novel building material data structure.
  • To create a fine-grained material dataset for 70 North American buildings.
  • To enhance interoperability and standardization in construction material studies.

Main Methods:

  • Developed a data structure adapted from UniFormat and MasterFormat construction classification systems.
  • Collected design and construction drawings for 70 North American buildings.
  • Performed material takeoffs from drawings to populate the dataset.

Main Results:

  • A standardized building material data structure based on UniFormat and MasterFormat was created.
  • A comprehensive dataset detailing material use for 70 buildings in North America is now available.
  • The data structure facilitates analysis of design's influence on material consumption.

Conclusions:

  • The proposed data structure and dataset address data gaps and heterogeneity in building material studies.
  • This work supports investigations into material reduction strategies and a deeper understanding of material flows in buildings.
  • The standardized approach promotes interoperability with existing construction management practices and future research.