Civil Engineering ETDs

Publication Date

Spring 3-18-2022

Abstract

Inspection of infrastructure under construction has become an active research topic in the past few decades. Due to rising costs and safety concerns of current inspection methods, automated inspection methods are proposed. In this context, this dissertation has developed a framework that uses 3D point cloud data from the bridge under construction and evaluates the design specifications and the strength capacity of the structure while is being built. This study presents a slicing algorithm for automatically evaluating rebar placement using 3D point cloud data. The outcomes of this research provide structural engineering with (i) automatic inspection of reinforcement during construction; (ii) objective quantification of bridge quality with a new strength index associated with the quality of rebar in the field. The broader impact of this research enhances construction safety, lowers economic costs, and reduces ambiguity and subjectivity in the field by providing an objective assessment during construction.

Keywords

LiDAR; Reinforced concrete; Automatic inspection; Construction inspection; Rebar spacing recognition.

Document Type

Dissertation

Language

English

Degree Name

Civil Engineering

Level of Degree

Doctoral

Department Name

Civil Engineering

First Committee Member (Chair)

Fernando Moreu

Second Committee Member

Maryam Hojati

Third Committee Member

Christopher Lippitt

Fourth Committee Member

Sreenivas Alampalli

Download

Share

COinS