Abstract

This paper presents a detailed review of the use of digital image correlation on structural health monitoring. The durability of structures like bridges and buildings etc., need to monitor continuously. Structural health monitoring plays a vital role in assets and planning. Detailed knowledge on digital image correlation concerning structural health monitoring and civil engineering applications is presented in this paper.

Highlights

  • The process of implementing the damage detection techniques in engineering structures before full damage is termed structural health monitoring

  • The identification and analysing of deterioration in structure concerning age are done under structural health monitoring

  • In the civil engineering aspect structural health monitoring is necessary because the concrete is the material that will be affected by parameters like stress and strain, shrinkage, creep, concrete curing temperature [2]

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Summary

Introduction

The process of implementing the damage detection techniques in engineering structures before full damage is termed structural health monitoring. Structural health monitoring shows the durability effect of the structure by analysing the periodical dynamic response measurements. In the civil engineering aspect structural health monitoring is necessary because the concrete is the material that will be affected by parameters like stress and strain, shrinkage, creep, concrete curing temperature [2]. Crack and damage detection is difficult in structural health monitoring. The strain measurements to be more accurate because misleading strain values causes a major loss of financial and human lives [1]. To overcome these problems accurate methods are to be adopted. Strain gauges will not provide accurate measurements in small strain analysis and are

Digital image correlation
Operating principle
Fundamental concepts of twodimensional DIC
Accuracy and precision
Correlation process
Literature survey
Findings
Conclusion

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