Visualization of Civil Infrastructure Emphasizing Geomaterial Characterization and Performance
Publication: Journal of Materials in Civil Engineering
Volume 30, Issue 10
Abstract
With the advancements made in the spatial analyses, characterizarion methodologies, and management of large data sets, the visualization of geomaterial properties at different stages of civil infrastructure works has become easier to implement. Visualization of material characteristics in the ground has given engineers a realistic three-dimensional image that creates a comprehensive digital ground environment where large complex projects can be effectively conceptualized, designed, and constructed. This research paper presents these material characterization–related advancements made in the better understanding of construction and performance of infrastructure using geospatial and visualization tools. Infrastructure case studies ranging from material characterizations from laboratory and in situ tests to data captured from photogrammetry-based measurements from unmanned aerial vehicle (UAV) platforms are described. The two-dimensional visualization models developed for a pipeline and dam infrastructure provided localized critical zones, which can trigger failure in the event of hazardous conditions. The three-dimensional models, developed using UAV-based photogrammetry studies, provided the health conditions of the structure with a focus on material performance. Future applications encompassing material properties to field measurements are covered in detail.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This work has been supported by research grants from the Texas Department of Transportation (TxDOT) and Tarrant Regional Water District (TRWD). The 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. The authors also would like to thank many former and current UTA students and employees, Bhaskar Chittoori, Justin Thomey, Aravind Pedarla, Sayanthan Chakraborty, Anil Raavi, Rathna Mothkuri, and others.
References
Bachus, R. 2014. “Advances in geotechnical data management and visualization.” Geotech. News 32 (3): 27.
Bheemasetti, T. V. 2015. “Spatial variability models and prediction analysis of soil properties using geostatistics.” Ph.D. thesis. Univ. of Texas at Arlington.
Bheemasetti, T. V., B. Chittoori, H. Zou, A. J. Puppala, and J. Thomey. 2017. “Spatial mapping of soluble sulfate concentrations present in natural soils using geostatistics.” J. Geotech. Geoenviron. Eng. 143 (2): 04016090. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001590.
Chapman, A. 2016. “Types of drones: Multi-rotor vs fixed-wing vs single rotor vs hybrid VTOL.” Accessed December 4, 2017. https://www.auav.com.au/articles/drone-types/.
Ellis, H. L., and M. J. Vessely. 2015. Visualization of geotechnical data for hazard mitigation and disaster response. Washington, DC: Transportation Research Board.
El Meouchea, R., I. Hijazib, P. A. Ponceta, M. Abunemeha, and M. Rezouga. 2016. “UAV photogrammetry implementation to enhance land surveying, comparisons and possibilities.” Vol. XLII-2/W2 of The international archives of the photogrammetry, remote sensing and spatial information sciences, 20–21. France: International Society of Photogrammetry and Remote Sensing.
Fernández-Hernandez, J., D. González-Aguilera, P. Rodríguez-Gonzálvez, and J. Mancera-Taboada. 2015. “Image-based modelling from unmanned aerial vehicle (UAV) photogrammetry: An effective, low-cost tool for archaeological applications.” Archaeometry 57 (1): 128–145. https://doi.org/10.1111/arcm.12078.
Hammah, R. E., and J. H. Curran. 2006. “Geostatistics in geotechnical engineering: Fad or empowering?” In Proc., GeoCongress 2006: Geotechnical Engineering in the Information Technology Age, 1–5. Reston, VA: ASCE.
Haulman, D. L. 2003. Unmanned aerial vehicles in combat, 1991-2003. Washington, DC: Air Force History Research Agency.
King, N. 2017. “Fixed wing versus rotary wing for UAV mapping applications.” Accessed December 4, 2017. https://www.questuav.com/media/case-study/fixed-wing-versus-rotary-wing-for-uav-mapping-applications/.
Laccasse, S., and F. Nadim. 1996. “Uncertainties in characterizing soil properties.” In Uncertainty in the geologic environment (GSP 58), edited by C. D. Shackelford, P. P. Nelson, and M. J. S. Roth, 49–75. New York: ASCE.
Montgomery, D. 2014. “Map the runout risk for landslides.” The Seattle Times, April 11, 2014.
Olsen, M., J. Raugust, and G. Roe. 2013. NCHRP synthesis 446: Use of advanced geospatial data, tools, technologies, and information in department of transportation projects, 97. Washington, DC: Transportation Research Board of the National Academies.
Pereira, E., R. Bencatel, J. Correia, L. Felix, G. Goncalves, J. Morgado, and J. Sousa. 2009. “Unmanned air vehicles for coastal environmental research.” In Proc., 10th Int. Coastal Symp., 1557–1561. Coconut Creek, FL: Journal of Coastal Research.
Phoon, K. K., and F. H. Kulhawy. 1999. “Characterization of geotechnical variability.” Can. Geotech. Eng. 36 (4): 625–639. https://doi.org/10.1139/t99-039.
Puppala, A. J. 2016. “Advances in ground modification with chemical additives: From theory to practice.” Transp. Geotech. 9 (Dec): 123–138. https://doi.org/10.1016/j.trgeo.2016.08.004.
Puppala, A. J., B. Chittoori, and A. Raavi. 2015. “Flowability and density characteristics of controlled low-strength material using native high-plasticity clay.” J. Mater. Civ. Eng. 27 (1): 06014026. https://doi.org/10.1061/(ASCE)MT.1943-5533.0001127.
Puppala, A. J., and S. S. C. Congress. 2018. “Recent advances in design, construction, and maintenance of pavement infrastructure.” In Proc., 2nd Int. Conf. on Advances in Concrete, Structural, and Geotechnical Engineering (ACSGE 2018). New Delhi, India: Bloomsbury Publishing India Pvt. Ltd.
Robertson, P. K. 2010. “Soil behaviour type from the CPT: An update.” In Proc., 2nd Int. Symp. on Cone Penetration Testing, 9–11. Huntington Beach, CA: CPT'10 Organizing Committee.
Siebert, S., and J. Teizer. 2014. “Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle system.” Autom. Constr. 41: 1–14. https://doi.org/10.1016/j.autcon.2014.01.004.
Udin, W. S., and A. Ahmad. 2014. “Assessment of photogrammetric mapping accuracy based on variation flying altitude using unmanned aerial vehicle.” In Vol. 18 of Proc., 8th Int. Symp. of the Digital Earth, Earth and Environmental Science, 1–7. Abingdon, UK: Taylor & Francis.
Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 30 • Issue 10 • October 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jan 31, 2018
Accepted: Mar 20, 2018
Published online: Jul 10, 2018
Published in print: Oct 1, 2018
Discussion open until: Dec 10, 2018
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.