Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, , 289 - 300, 30.12.2020
https://doi.org/10.36222/ejt.777489

Öz

Kaynakça

  • Büyüköztürk, O. (1998). Imaging of concrete structures. Ndt and E International, 31(4), 233-243.
  • Lai, W. W. L., Derobert, X. and Annan, P. (2018). A review of Ground Penetrating Radar application in civil engineering: A 30-year journey from Locating and Testing to Imaging and Diagnosis. Ndt & E International, 96, 58-78.
  • Zhao, S., Al-Qadi, I. (2018). Pavement drainage pipe condition assessment by GPR image reconstruction using FDTD modeling. Construction and Building Materials, 154, 1283-1293.
  • Stryk, J., Matula, R., Pospíšil, K., Dérobert, X., Simonin, J. M. and Alani, A. M. (2017). Comparative measurements of ground penetrating radars used for road and bridge diagnostics in the Czech Republic and France. Construction and Building Materials, 154, 1199-1206.
  • Fernandes, F. M. and Pais, J. C. (2017). Laboratory observation of cracks in road pavements with GPR. Construction and Building Materials, 154, 1130-1138.
  • Tosti, F., Ciampoli, L. B., D'Amico, F., Alani, A. M. and Benedetto, A. (2018). An experimental-based model for the assessment of the mechanical properties of road pavements using ground-penetrating radar. Construction and Building Materials, 165, 966-974.
  • Benedetto, A., Tosti, F., Ciampoli, L. B. and D’amico, F. (2017). An overview of ground-penetrating radar signal processing techniques for road inspections. Signal processing, 132, 201-209.
  • Mohod, M. V. and Kadam, K. N. (2016). A comparative study on rigid and flexible pavement: a review. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 13(3), 84-88.
  • Shangguan, P. and Al-Qadi, I. L. (2014). Calibration of FDTD simulation of GPR signal for asphalt pavement compaction monitoring. IEEE Transactions on Geoscience and Remote Sensing, 53(3), 1538-1548.
  • Belli, K., Rappaport, C. M., Zhan, H. and Wadia-Fascetti, S. (2009). Effectiveness of 2-D and 2.5-D FDTD ground-penetrating radar modeling for bridge-deck deterioration evaluated by 3-D FDTD. IEEE Transactions on Geoscience and Remote Sensing, 47(11), 3656-3663.
  • Annan, A. P. (2003). Ground penetrating radar principles, procedures, and applications. Sensors and Software Inc. Mississauga, ON, Canada.
  • Alani, A. M., Tosti, F., Ciampoli, L. B., Gagliardi, V. and Benedetto, A. (2020). An integrated investigative approach in health monitoring of masonry arch bridges using GPR and InSAR technologies. NDT and E International, 102288.
  • Al-Qadi, I. L. and Lahouar, S. (2005). Measuring layer thicknesses with GPR–Theory to practice. Construction and building materials, 19(10), 763-772.
  • Fa, W. (2013). Simulation for ground penetrating radar (GPR) study of the subsurface structure of the Moon. Journal of Applied Geophysics, 99, 98-108.
  • Bai, H. and Sinfield, J. V. (2020). Improved background and clutter reduction for pipe detection under pavement using Ground Penetrating Radar (GPR). Journal of Applied Geophysics, 172, 103918.
  • Smith, S. S. and Scuillion, T. (1993). Development of ground-penetrating radar equipment for detecting pavement condition for preventive maintenance. STIN, 95, 11904.
  • Al-Qadi, I. L. (1992). Using microwave measurements to detect moisture in asphaltic concrete. Journal of testing and evaluation, 20(1), 43-50.
  • Rmeili, E. and Scullion, T. (1997). Detecting stripping in asphalt concrete layers using ground penetrating radar. Paper No. 97-0508. Washington DC: Transportation Research Board.
  • Asadi, P., Gindy, M., Alvarez, M. and Asadi, A. (2020). A computer vision based rebar detection chain for automatic processing of concrete bridge deck GPR data. Automation in Construction, 112, 103106.
  • Damiata, B. N., Steinberg, J. M., Bolender, D. J., Zoëga, G., and Schoenfelder, J. W. (2017). Subsurface imaging a Viking-Age churchyard using GPR with TDR: Direct comparison to the archaeological record from an excavated site in northern Iceland. Journal of Archaeological Science: Reports, 12, 244-256.
  • Lachowicz, J. and Rucka, M. (2019). A novel heterogeneous model of concrete for numerical modelling of ground penetrating radar. Construction and Building Materials, 227, 116703.
  • Ferrara, C., Barone, P. M., Salvati, L. and Pettinelli, E. (2014). Ground Penetrating Radar as remote sensing technique to investigate the root system architecture. Applied Ecology and Environmental Research, 12(3), 695-702.
  • Maharaj, A. and Leyland, R. (2010). The dielectric constant as a means of assessing the properties of road construction materials. In Proceedings of the 29th southern African transport conference (SATC), South Africa, 487-498.
  • Peplinski, N. R., Ulaby, F. T. and Dobson, M. C. (1995). Dielectric properties of soils in the 0.3-1.3-GHz range. IEEE transactions on Geoscience and Remote sensing, 33(3), 803-807.
  • Yee, K. (1996). Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media. IEEE Transactions on Antennas and Propagation, 14(3), 302-307.
  • Berenger, J. P. (1994). A perfectly matched layer for the absorption of electromagnetic waves. Journal of computational physics, 114(2), 1994, 185-200. Taflove, A. and Hagness, S. C. (2005). Computational electrodynamics: the finite-difference time-domain method. Artech house.

A NOVEL HETEROGENEOUS MODEL OF LAYERED STRUCTURES FOR NUMERICAL MODELING AND SIMULATION AT MICROWAVE FREQUENCIES VIA FDTD

Yıl 2020, , 289 - 300, 30.12.2020
https://doi.org/10.36222/ejt.777489

Öz

Numerous destructive and nondestructive techniques using different energy sources have been offered for material characterization. Among the non-destructive testing techniques that suggest monitoring the content of different materials and concrete structures, the techniques using microwaves offer important advantages because they are not radioactive, provide good penetration, provide excellent contrast with rebar and are not affected by ambient temperature. In this paper, a non-destructive testing (NDT) technique is represented to simulate a novel heterogeneous rectangular geometric structures containing different materials such as concrete, pavement, mortar, rebar and soil based on their dielectric properties. Maxwell wave equations are used to simulate how wave propagates in structures with different dielectric properties. For numerical simulation a Finite Difference Time Domain (FDTD) is used and Absorbing Boundary Conditions (ABCs) is proposed to prevent re-entering of propagating waves into the computation domain.

Kaynakça

  • Büyüköztürk, O. (1998). Imaging of concrete structures. Ndt and E International, 31(4), 233-243.
  • Lai, W. W. L., Derobert, X. and Annan, P. (2018). A review of Ground Penetrating Radar application in civil engineering: A 30-year journey from Locating and Testing to Imaging and Diagnosis. Ndt & E International, 96, 58-78.
  • Zhao, S., Al-Qadi, I. (2018). Pavement drainage pipe condition assessment by GPR image reconstruction using FDTD modeling. Construction and Building Materials, 154, 1283-1293.
  • Stryk, J., Matula, R., Pospíšil, K., Dérobert, X., Simonin, J. M. and Alani, A. M. (2017). Comparative measurements of ground penetrating radars used for road and bridge diagnostics in the Czech Republic and France. Construction and Building Materials, 154, 1199-1206.
  • Fernandes, F. M. and Pais, J. C. (2017). Laboratory observation of cracks in road pavements with GPR. Construction and Building Materials, 154, 1130-1138.
  • Tosti, F., Ciampoli, L. B., D'Amico, F., Alani, A. M. and Benedetto, A. (2018). An experimental-based model for the assessment of the mechanical properties of road pavements using ground-penetrating radar. Construction and Building Materials, 165, 966-974.
  • Benedetto, A., Tosti, F., Ciampoli, L. B. and D’amico, F. (2017). An overview of ground-penetrating radar signal processing techniques for road inspections. Signal processing, 132, 201-209.
  • Mohod, M. V. and Kadam, K. N. (2016). A comparative study on rigid and flexible pavement: a review. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 13(3), 84-88.
  • Shangguan, P. and Al-Qadi, I. L. (2014). Calibration of FDTD simulation of GPR signal for asphalt pavement compaction monitoring. IEEE Transactions on Geoscience and Remote Sensing, 53(3), 1538-1548.
  • Belli, K., Rappaport, C. M., Zhan, H. and Wadia-Fascetti, S. (2009). Effectiveness of 2-D and 2.5-D FDTD ground-penetrating radar modeling for bridge-deck deterioration evaluated by 3-D FDTD. IEEE Transactions on Geoscience and Remote Sensing, 47(11), 3656-3663.
  • Annan, A. P. (2003). Ground penetrating radar principles, procedures, and applications. Sensors and Software Inc. Mississauga, ON, Canada.
  • Alani, A. M., Tosti, F., Ciampoli, L. B., Gagliardi, V. and Benedetto, A. (2020). An integrated investigative approach in health monitoring of masonry arch bridges using GPR and InSAR technologies. NDT and E International, 102288.
  • Al-Qadi, I. L. and Lahouar, S. (2005). Measuring layer thicknesses with GPR–Theory to practice. Construction and building materials, 19(10), 763-772.
  • Fa, W. (2013). Simulation for ground penetrating radar (GPR) study of the subsurface structure of the Moon. Journal of Applied Geophysics, 99, 98-108.
  • Bai, H. and Sinfield, J. V. (2020). Improved background and clutter reduction for pipe detection under pavement using Ground Penetrating Radar (GPR). Journal of Applied Geophysics, 172, 103918.
  • Smith, S. S. and Scuillion, T. (1993). Development of ground-penetrating radar equipment for detecting pavement condition for preventive maintenance. STIN, 95, 11904.
  • Al-Qadi, I. L. (1992). Using microwave measurements to detect moisture in asphaltic concrete. Journal of testing and evaluation, 20(1), 43-50.
  • Rmeili, E. and Scullion, T. (1997). Detecting stripping in asphalt concrete layers using ground penetrating radar. Paper No. 97-0508. Washington DC: Transportation Research Board.
  • Asadi, P., Gindy, M., Alvarez, M. and Asadi, A. (2020). A computer vision based rebar detection chain for automatic processing of concrete bridge deck GPR data. Automation in Construction, 112, 103106.
  • Damiata, B. N., Steinberg, J. M., Bolender, D. J., Zoëga, G., and Schoenfelder, J. W. (2017). Subsurface imaging a Viking-Age churchyard using GPR with TDR: Direct comparison to the archaeological record from an excavated site in northern Iceland. Journal of Archaeological Science: Reports, 12, 244-256.
  • Lachowicz, J. and Rucka, M. (2019). A novel heterogeneous model of concrete for numerical modelling of ground penetrating radar. Construction and Building Materials, 227, 116703.
  • Ferrara, C., Barone, P. M., Salvati, L. and Pettinelli, E. (2014). Ground Penetrating Radar as remote sensing technique to investigate the root system architecture. Applied Ecology and Environmental Research, 12(3), 695-702.
  • Maharaj, A. and Leyland, R. (2010). The dielectric constant as a means of assessing the properties of road construction materials. In Proceedings of the 29th southern African transport conference (SATC), South Africa, 487-498.
  • Peplinski, N. R., Ulaby, F. T. and Dobson, M. C. (1995). Dielectric properties of soils in the 0.3-1.3-GHz range. IEEE transactions on Geoscience and Remote sensing, 33(3), 803-807.
  • Yee, K. (1996). Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media. IEEE Transactions on Antennas and Propagation, 14(3), 302-307.
  • Berenger, J. P. (1994). A perfectly matched layer for the absorption of electromagnetic waves. Journal of computational physics, 114(2), 1994, 185-200. Taflove, A. and Hagness, S. C. (2005). Computational electrodynamics: the finite-difference time-domain method. Artech house.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Elektrik Mühendisliği, İnşaat Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Ümmü Şahin Şener 0000-0001-9055-8734

Sebahattin Eker Bu kişi benim 0000-0002-0259-3781

Yayımlanma Tarihi 30 Aralık 2020
Yayımlandığı Sayı Yıl 2020

Kaynak Göster

APA Şahin Şener, Ü., & Eker, S. (2020). A NOVEL HETEROGENEOUS MODEL OF LAYERED STRUCTURES FOR NUMERICAL MODELING AND SIMULATION AT MICROWAVE FREQUENCIES VIA FDTD. European Journal of Technique (EJT), 10(2), 289-300. https://doi.org/10.36222/ejt.777489

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