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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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Wood's structural properties derive from fibers aligned along the tree's length, contributing significantly to its mechanical strength. Wood exhibits up to twenty times greater tensile strength along these fibers compared to across them, and generally shows better performance under compression than tension. The length of fibers varies, with hardwoods having fibers around one twenty-fifth inch long and softwoods ranging from one-eighth to one-third inch.
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Tracing the Trends of General Construction and Demolition Waste Research Using LDA Modeling Combined With Topic

Zezhou Wu1, Peiying Xie1, Jinming Zhang2

  • 1College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China.

Frontiers in Public Health
|June 13, 2022
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Summary

Construction and demolition waste (CDW) research shows "CDW management" is a growing trend. Other topics like recycled aggregate and environmental impact are declining in popularity.

Keywords:
construction and demolition wastelinear discriminant analysisresearch trendtopic intensitytopic modeling

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Area of Science:

  • Environmental Science
  • Materials Science
  • Civil Engineering

Background:

  • Increasing infrastructure construction leads to significant construction and demolition waste (CDW) pollution.
  • Understanding research trends in CDW is crucial for effective waste management and environmental protection.

Purpose of the Study:

  • To identify current hot topics and evolution trends in construction and demolition waste (CDW) research.
  • To analyze the popularity and development trajectory of different CDW research areas.

Main Methods:

  • Latent Dirichlet Allocation (LDA) was employed for topic modeling to extract key themes from a corpus of 1,849 articles.
  • Topic intensity calculation was performed to quantify the popularity and trends of the identified topics.

Main Results:

  • Four distinct topics were identified within the CDW research landscape.
  • "CDW management" emerged as a topic with a significant upward trend.
  • Topics including "recycled aggregate," "environmental impact," and "study of CDW on soil" demonstrated downward trends.

Conclusions:

  • The study provides insights into the evolving landscape of CDW research.
  • The methodology can assist scholars in navigating and understanding the prevalence and trends within the CDW field.
  • Identifying these trends can inform future research directions and resource allocation in CDW management.