PSI - Issue 5

Baris Arslan et al. / Procedia Structural Integrity 5 (2017) 171–178 Baris Arslan et al. / Structural Integrity Procedia 00 (2017) 000 – 000

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Fig 4.c Freq between 4000-6000 Hz

Fig 4.d Freq between 6000-8000 Hz

Fig 4. A19, A38 and A76 MIS results in between 2000 Hz intervals

4. Conclusion

This paper aims to be a prestudy to the future research in which the experimental analyses will be done. FEM based EMIS and MIS results demonstrated that varying trendlines due to the varying modulus of elasticity and the densities are given an opportunity to speculate results even in the low frequency range. Considering the varying compressive strength data due to the varying sizes of aggregates, the most durable conrete group is A19 which have a 25.6 Mpa of compressive strength, where A38 and A76 have 24.80 and 18.90 MPa in decreasing order respectively. When we probe the MIS results, between 0-2000 Hz intervals, the first peak is observed on A19 group, further, A38 and A76 as expected. However, the amplitudes of MIS data are aligned in reverse order. In contrast to the compressive strength data, the concrete groups have densities in increasing order due to the increasing size of aggregates; 2390, 2420 and 2480 3 kg/m respectively. This reverse trendline could be associated with these reverse orders of density. To conclude, in order to prove these FEM results, experimental analyses are required. For future studies, experimental setup will be presented. Hence, comparing the experimental and numerical results, more accurate analyses will be provided. [1] C. Liang, F.P. Sun, C.A. Rogers, Electromechanical impedance modeling of active material systems, in: 1994: pp. 232 – 253. http://dx.doi.org/10.1117/12.174216. [2] C. Liang, F.P. Sun, C.A. Rogers, An Impedance Method for Dynamic Analysis of Active Material Systems, J. Vib. Acoust. 116 (1994) 120 – 128. http://dx.doi.org/10.1115/1.2930387. [3] F.P. Sun, Z. Chaudhry, C. Liang, C.A. Rogers, Truss Structure Integrity Identification Using PZT Sensor-Actuator, J. Intell. Mater. Syst. Struct. 6 (1995) 134 – 139. doi:10.1177/1045389X9500600117. [4] G. Park, H.H. Cudney, D.J. Inman, Impedance-based health monitoring technique for massive structures and high-temperature structures, in: 1999: pp. 461 – 469. http://dx.doi.org/10.1117/12.349760. [5] G. Park, H.H. Cudney, D.J. Inman, Impedance-Based Health Monitoring of Civil Structural Components, J. Infrastruct. Syst. 6 (2000) 153 – 160. doi:10.1061/(ASCE)1076-0342(2000)6:4(153). [6] G. Park, H.H. Cudney, D.J. Inman, Feasibility of using impedance-based damage assessment for pipeline structures, Earthq. Eng. Struct. Dyn. 30 (2001) 1463 – 1474. doi:10.1002/eqe.72. [7] C.K. Soh, K.K.-H. Tseng, S. Bhalla, A. Gupta, Performance of smart piezoceramic transducers in health monitoring of RC bridge, Smart Mater. Struct. 9 (2000) 553 – 542. [8] S. Bhalla, A.S.K. Naidu, C. Wee Ong, C.-K. Soh, Practical issues in the implementation of electro-mechanical impedance technique for References