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Integrated Sensor and Media Modeling Environment Developed and Applied to Ground-Penetrating Radar Investigation of Bridge Decks
Authors:Kimberly Belli  Sara Wadia-Fascetti  Carey Rappaport
Affiliation:1Postdoctoral Research Associate, Dept. of Civil and Environmental Engineering, Northeastern Univ., 360 Huntington Ave., Boston, MA 02115. E-mail: kbelli@coe.neu.edu
2Associate Professor, Dept. of Civil and Environmental Engineering, Northeastern Univ., 360 Huntington Ave., Boston, MA 02115 (corresponding author). E-mail: swf@coe.neu.edu
3Professor, Dept. of Electrical and Computer Engineering, Northeastern Univ., 360 Huntington Ave., Boston, MA 02115. E-mail: rappaport@neu.edu
Abstract:Integrated sensor and media modeling environment has been developed to simulate subsurface sensing systems and environmental parameters relevant to the subsurface sensing modalities. The modeling environment is designed to represent complexity in subsurface features, sensor models, and the integration of the sensors with the subsurface environment. The ability to model complex subsurface environments and any potential random distribution of subsurface properties allows for realistic modeling of heterogeneous subsurface environments such as bridged deck/pavement systems. Many applications can benefit from the modeling, simulation, and interpretation capabilities in the new modeling environment that supports improved understanding of system behavior through simulations to evaluate the ability of a particular modality to detect defects. While numerous modeling packages exist to simulate different wave-based modalities, the integrated sensor and media modeling environment is developed to, in a straightforward manner, physically represent the complex subsurface civil infrastructure environment. Physical modeling capabilities enable the object-oriented programming environment facility portability to other application domains as a generic volume serves as the boundaries for internal elements modeled to represent realistic changes in material properties and buried objects. Model development is demonstrated on a realistic bridge deck example.
Keywords:Models  Computer programming  Probe instruments  Radar  Bridge decks  
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