A spherical smart aggregate sensor based electro-mechanical impedance method for quantitative damage evaluation of concrete. (September 2020)

• Record Type: Journal Article
• Authors: Zhao, Shaoyu; Fan, Shuli; Yang, Jie; Kitipornchai, Sritawat
• Is Part Of: Structural health monitoring. Volume 19:Number 5(2020)
• Page Start: 1560
• Page End: 1576
• Publication Date: 2020-09
• Subjects: Structural health monitoring -- spherical smart aggregate -- piezoelectric transducer -- electro-mechanical impedance -- concrete damage -- damage volume ratio; Structural health monitoring -- Periodicals; Structural stability -- Periodicals; Strength of materials -- Periodicals; Nondestructive testing -- Periodicals; Constructions -- Stabilité -- Périodiques; Résistance des matériaux -- Périodiques; Contrôle non destructif -- Périodiques; Electronic journals; 624.17
• DOI: 10.1177/1475921719888963
• Languages: English
• ISSNs: 1475-9217

Abstract

In this study, the concrete damage induced by compression is evaluated quantitatively using spherical smart aggregate sensor based on electro-mechanical impedance method. The sensitivity of the spherical smart aggregate sensor embedded in concrete cubes is investigated by comparing the electrical signals recorded during the compressive process with those of the smart aggregate sensor embedded in concrete cubes. Furthermore, the finite element model of concrete cube with an embedded spherical smart aggregate sensor is developed to simulate the concrete compressive tests. The concrete damaged plasticity constitutive model is utilized to simulate the concrete damage process. The numerical model is verified with the experimentally measured compressive test results. Finally, the damage volume ratio is presented to quantify the damage level of concrete based on the numerical model. The relationship between the root mean square deviation index of the conductance signatures obtained from experiments and the damage volume ratio computed by numerical simulation is established to quantify the concrete damage level. The results show that the spherical smart aggregate sensor is more sensitive than the smart aggregate sensor in monitoring the three-dimensional concrete structures. The proposed empirical fitting curve can effectively evaluate the concrete damage level quantitatively.