Abstract
Geomaterial data analysis and visualization are important tools as they can provide geotechnical information in a visualized way that will help design and practice engineers understand the site to materials conditions in a holistic manner so they can make prudent decisions on foundation infrastructure to ground improvement options. With the advancements made in the computational arena, the use of material property sets including those of large data sets, one can expect a nicer presentation of site to material characterization if they are presented in a visual manner. GIS-based visualization tools are often used in many areas of the geotechnical engineering including terrain digital elevation modeling, subsurface material characterization, infrastructure monitoring and hazard mapping. Tests including laboratory and field studies on geomaterials, sensor instrumentation, remote sensing and photogrammetry studies, and others have provided geomaterial characterization to performance details in the visualization models. This paper highlights a few of these highlights and advancements made for better understanding of construction and performance of infrastructure using geospatial and visualization tools. Case studies ranging from data captured from photogrammetry-based measurements using unmanned aerial vehicles (UAVs) platforms to material characterizations to in-situ cone penetration tests are described to illustrate the significance of 2-Dimensional and 3-Dimensional based visualization analyses. Future applications are also briefly covered.
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Acknowledgements
This work presented in the paper has been supported by several research grants from the Texas Department of Transportation (TxDOT), National Science Foundation (NSF) and Tarrant Regional Water District (TRWD). Authors would like to acknowledge the support provided by Mr. Joe Adams (RTI Manager - TxDOT), Matt Gaughan and Louie Verrault (TRWD) and several others for their involvement. Authors also would like to thank many UTA students, Bhaskar Chittoori, Justin Thomey, Aravind Pedarla, Sayanthan Chakraborty, Anil Raavi, Rathna Mothkuri and others.
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Puppala, A.J., Congress, S.S.C., Bheemasetti, T.V., Caballero, S. (2018). Geotechnical Data Visualization and Modeling of Civil Infrastructure Projects. In: Shi, X., Liu, Z., Liu, J. (eds) Proceedings of GeoShanghai 2018 International Conference: Transportation Geotechnics and Pavement Engineering. GSIC 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-0011-0_1
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DOI: https://doi.org/10.1007/978-981-13-0011-0_1
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