Detection of structural changes in concrete using embedded ultrasonic sensors based on autoregressive model

Joyraj Chakraborty,Andrzej Katunin

doi:10.29354/diag/100448

Abstract

Embedded ultrasonic transmission measurements can be a cost effective and more user-friendly alternative in comparison to commonly used structural health monitoring systems used in civil engineering to detect operational or environmental changes in structure. They can be used to detect small structural changes in large concrete structures without necessity of placing a sensor on the spot where the changing is taking place. This paper presents the investigations on the possibility of utilising autoregressive model, where the velocity of ultrasonic wave in a medium is dependent on the operational state. The goal is to use the model for localization of operational changes in the large concrete structure by means of embedded ultrasonic transducer networks. In this study, several static load tests and dynamic test on large reinforced concrete beams have been performed using embedded ultrasonic sensors. Using the autoregressive model it is possible to localize operational changes in the concrete structure. The proposed approach of diagnostic signal processing allows for precise evaluation of structural changes in concrete.

Highlights

Concrete is the most used material in volume in the world for many civil infrastructures, like bridges. They are capable of safely transferring the superimposed loads to the foundations; their structural integrity is degraded by different kinds of operational and environmental effects. Their strength is important as a civil infrastructure assign a significant portion of the national economy, so keep a high level of structural safety, durability, an efficient system is urgently required for regular structural assessment and performance of the infrastructure
Various methods called Non-Destructive Testing (NDT) techniques have been used for many years, and in many cases combined with Structural Health Monitoring (SHM), and more than seventy types of standardized testing methods can be found [2]
For the purpose of finding the optimum Autoregressive Model (AR) model, the Root Mean Squared Error (RMSE) is plotted as a function of the model order

Summary

Introduction

Concrete is the most used material in volume in the world for many civil infrastructures, like bridges They are capable of safely transferring the superimposed loads to the foundations; their structural integrity is degraded by different kinds of operational and environmental effects. Their strength is important as a civil infrastructure assign a significant portion of the national economy, so keep a high level of structural safety, durability, an efficient system is urgently required for regular structural assessment and performance of the infrastructure.

Methods

Results

Conclusion