Using artificial neural network and non‐destructive test for crack detection in concrete surrounding the embedded steel reinforcement

Abstract

Bond between steel and concrete is one of the key aspects of structural design and its performance evaluation. In the past much research work has been focused on understanding bond deterioration owing to corrosion of reinforcement, however, there exists no nondestructive method to access the bond condition. In this regard, the presented experimental research work details the development of a nondestructive testing method to estimate the crack condition of concrete surrounding the steel reinforced by using ultrasonic pulse velocity test. In addition, a multilayer feedforward back propagation perceptron artificial neural network (ANN) is developed in order to avoid simplification assumptions for developing models to predict the cracking, owing to the nonlinear complex stress distribution at the steel-concrete interface. The ANN is used to predict the crack width and to conduct sensitivity analysis of the various factors influencing the bond deterioration. A high accuracy level is achieved between the predicted and the experimental values with R 2 of 0.97 and the most influential parameter is highlighted.

Structural Crack Detection and Classification using Deep Convolutional Neural Network

“…In [21] experimental research was conducted to estimate the bond/crack condition of concrete surrounded by steel via UPV test. A multi-layer ANN was developed to predict the width of the crack and analyze various influential parameters that lead to bond deterioration.…”

Artificial Neural Network with a Cross-Validation Technique to Predict the Material Design of Eco-Friendly Engineered Geopolymer Composites

“…In civil engineering research, ANN has been successfully applied to anticipate the strength criteria of hardened concrete [ 19 ] and the workability properties of fresh concrete [ 20 ]. In addition to these studies, several important and advanced parametric studies, such as those estimating the bond strength of structural concrete [ 21 , 22 ], the spalling [ 23 ] damage assessment of concrete [ 24 , 25 ], analyzing sections of deep beams [ 26 ], estimating the fracture parameters of geopolymer composites [ 27 ], and accessing the properties of FRP columns [ 28 ] have been successfully conducted. Additionally, durability studies on various factors such as corrosion inhibition [ 29 ], chloride penetration [ 30 , 31 ] and other aspects have also been successfully undertaken.…”

Cyclic behavior and design methodology of exposed base plates with extended anchor bolts

“…Results indicate that this connection poses substantial energy dissipation properties. On the other hand, experimental programs conducted by Saleem and Gutierrez [23] and Saleem and Hosoda [24] have focused on non-destructive tests to evaluate crack detection and the pull-out strength of anchor bolts embedded in concrete. Saleem and Hosoda [24] proposed a nondestructive test that used the Schmidt hammer rebound number to estimate the load-carrying capacity of embedded anchor bolts.…”