Sensing of damage and substrate stress in concrete using electro-mechanical impedance measurements of bonded PZT patches

Narayanan, Arun Shankar; Subramaniam, Kolluru V. L.

doi:10.1088/0964-1726/25/9/095011

Cited by 34 publications

(20 citation statements)

References 21 publications

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“…Wang et al 24 investigated the effects of axial load on the RMSD index of SA sensors embedded in concrete. Narayanan and Subramaniam 25,26 studied the influence of stress and damage on the RMSD index and examined that the RMSD index increases with the load-induced damage without the influence of stress. These studies indicated that there is a relationship between the RMSD index and the structural damage, and the RMSD is a suitable index to estimate the damage of concrete.…”

Section: Introductionmentioning

confidence: 99%

A spherical smart aggregate sensor based electro-mechanical impedance method for quantitative damage evaluation of concrete

Zhao

Fan

Yang

et al. 2019

Structural Health Monitoring

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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.

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Section: Introductionmentioning

confidence: 99%

A spherical smart aggregate sensor based electro-mechanical impedance method for quantitative damage evaluation of concrete

Zhao

Fan

Yang

et al. 2019

Structural Health Monitoring

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“…Many researchers have attempted to monitor impedance response-induced damage from PZT sensors placed on the surface of concrete structures [ 16 , 24 , 25 ]. The surface-mounted sensors could detect impedance signatures induced by local damage near the surface; however, they were not sensitive enough to monitor variation in the impedance responses that were induced by incipient damage in the anchorage zone [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

Optimal Localization of Smart Aggregate Sensor for Concrete Damage Monitoring in PSC Anchorage Zone

Pham

Dang

et al. 2021

Sensors

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This study investigates the feasibility of smart aggregate (SA) sensors and their optimal locations for impedance-based damage monitoring in prestressed concrete (PSC) anchorage zones. Firstly, numerical stress analyses are performed on the PSC anchorage zone to determine the location of potential damage that is induced by prestressing forces. Secondly, a simplified impedance model is briefly described for the SA sensor in the anchorage. Thirdly, numerical impedance analyses are performed to explore the sensitivities of a few SA sensors in the anchorage zone under the variation of prestressing forces and under the occurrence of artificial damage events. Finally, a real-scale PSC anchorage zone is experimentally examined to evaluate the optimal localization of the SA sensor for concrete damage detection. Impedance responses measured under a series of prestressing forces are statistically quantified to estimate the performance of damage monitoring via the SA sensor in the PSC anchorage.

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“…Practical applications of the RMSD index for damage evaluation require an understanding of the influence of the damage on the signal response of bonded PZT sensors. Narayanan and Subramaniam [ 27 ] decoupled the effect of stress and damage using the normalized conductance signature as a quantitative measurement and pointed out that the RMSD increases consistently with the increase of damage when the applied stress is removed. Lim et al [ 28 ] found that the equivalent damping values increase with the increase of the damage severity and the RMSD response exhibits the equivalent damping change.…”

Section: Introductionmentioning

confidence: 99%

Damage Evaluation of Concrete Column under Impact Load Using a Piezoelectric-Based EMI Technique

Fan

Zhao

et al. 2018

Sensors

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One of the major causes of damage to column-supported concrete structures, such as bridges and highways, are collisions from moving vehicles, such as cars and ships. It is essential to quantify the collision damage of the column so that appropriate actions can be taken to prevent catastrophic events. A widely used method to assess structural damage is through the root-mean-square deviation (RMSD) damage index established by the collected data; however, the RMSD index does not truly provide quantitative information about the structure. Conversely, the damage volume ratio that can only be obtained via simulation provides better detail about the level of damage in a structure. Furthermore, as simulation can also provide the RMSD index relating to that particular damage volume ratio, the empirically obtained RMSD index can thus be related to the structural damage degree through comparison of the empirically obtained RMSD index to numerically-obtained RMSD. Thus, this paper presents a novel method in which the impact-induced damage to a structure is simulated in order to obtain the relationship between the damage volume ratio to the RMSD index, and the relationship can be used to predict the true damage degree by comparison to the empirical RMSD index. In this paper, the collision damage of a bridge column by moving vehicles was simulated by using a concrete beam model subjected to continuous impact loadings by a freefalling steel ball. The variation in admittance signals measured by the surface attached lead zirconate titanate (PZT) patches was used to establish the RMSD index. The results demonstrate that the RMSD index and the damage ratio of concrete have a linear relationship for the particular simulation model.

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Sensing of damage and substrate stress in concrete using electro-mechanical impedance measurements of bonded PZT patches

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Cited by 34 publications

References 21 publications

A spherical smart aggregate sensor based electro-mechanical impedance method for quantitative damage evaluation of concrete

A spherical smart aggregate sensor based electro-mechanical impedance method for quantitative damage evaluation of concrete

Optimal Localization of Smart Aggregate Sensor for Concrete Damage Monitoring in PSC Anchorage Zone

Damage Evaluation of Concrete Column under Impact Load Using a Piezoelectric-Based EMI Technique

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