Abstract

The quality assurance of constructing reinforced concrete (RC) structures in compliance with their design plays a key role in the durability, serviceability, and sustainability of the built RC elements. One area of concern in the quality control of constructing RC structures is examining the position and dimension of the rebars before pouring fresh concrete. Currently, this is accomplished by visual inspection and individually by hand with limited time available between construction stages. Over the past decades, structural health and monitoring during the construction period has applied remote sensing technologies. However, little research has focused on the use of such technologies to inspect and evaluate rebar placement prior to concrete pouring as quality control. In this study we develop an algorithm that facilitates inspecting the positions of rebars and the cover of concrete using a new-generation low-cost RGB-D sensor to find incorrect rebar placement. The proposed method is evaluated using a typical 5 × 5 two-layer rebar cage in the laboratory by comparing the proposed technique with traditional inspection methods. The results show that the RGB-D sensor can achieve cost-effective inspection for rebar spacing and clearance with an acceptable tolerance. The evaluation of rebar spacing results shows that the maximum standard deviation for rebar spacing is 0.34 inch (8.64 mm) between longitudinal rebar 2 and 3, which is the same as the rebar construction and traditional tape measurement results. The concrete cover estimation results show that the maximum standard deviation for rebar cage concrete cover is 0.19 inch (4.83 mm) for longitudinal rebar 3. The issues of new RGB-D sensor scan settings and the test results will be helpful for practitioners in improving construction quality.

Highlights

  • The damage caused by rebar corrosion to reinforced concrete (RC) structures is a serious problem

  • This research aims to develop a rebar detection algorithm that uses low-cost RGB-D sensors to automatically check the spacing and elevation of rebar and concrete cover to detect any unacceptable differences before concrete pouring

  • In this study we assessed the effect of a low-cost RGB-D sensor for rebar location identification

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Summary

Introduction

The damage caused by rebar corrosion to reinforced concrete (RC) structures is a serious problem. Rebar placement quality control is vital for improving productivity, safety, and sustainability in construction projects [1]. The inspection of rebar placement is one important quality control process for the construction in ensuring structural performance and sustainability. It is necessary to check whether the rebar placement meets the design drawings before placing fresh concrete since the location of rebars dictates the strength and durability of the RC element. The incorrect rebar placement and correct cover can lead to reduced durability due to possible cracks, spalling, and rebar corrosion. The consequences of low-quality rebar construction will result in the short service life of structures and the possibility of safety issues such as collapses.

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