4.7 Article

Automatic evaluation of rebar spacing using LiDAR data

Journal

AUTOMATION IN CONSTRUCTION
Volume 131, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.autcon.2021.103890

Keywords

Handheld LiDAR; Automatic measurement; Rebar layout quality; Algorithm; Reinforced concrete deck; Structural index

Funding

  1. Transportation Consortium of South-Central States (Tran-SET) [2RKR3-2KR327]
  2. New Mexico Department of Transportation (NMDOT)

Ask authors/readers for more resources

This study introduced an algorithm that automatically identifies rebar positions using LiDAR, resulting in an automatic Rebar Layout Quality Index (RLQI). By comparing real rebar mat data with design drawings, the quality of structural construction was evaluated and quantified with a new flexural relative moment strength index.
When constructing Reinforced Concrete (RC) components, rebar spacing must be inspected in the field before pouring concrete. The traditional inspection of rebar spacing: (1) depends on the experience of the individual inspector; (2) is limited to a pass/fail outcome; and (3) is in general conducted with limited time. This paper presents a recognition algorithm that automatically identifies the rebar position using LiDAR. The result is an automatic Rebar Layout Quality Index (RLQI). Researchers collected LiDAR data from a real rebar mat, compared it with the design drawings, and obtained the RLQI for both top and bottom rebar mats. The authors also quantified the quality of the structural construction with a new flexural relative moment strength index. This methodology has the potential to reduce inspection time and increase the reliability of inspections through an objective assessment of rebar spacing, by creating an as-built record of actual rebar location in the structure.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available