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Center for Intelligent Infrastructure Systems

2020

Gong, W., Zhao, C., Juang, C. H., Tang, H., Wang, H., & Hu, X. (2020). Stratigraphic uncertainty modelling with random field approach. Computers and Geotechnics, 125, 103681.

Kim, H., & Ham, Y. (2020). Increasing reliability of participatory sensing for utility pole condition assessment using fuzzy inference. Journal of Construction Engineering and Management. (Invited Paper)

Jeong, H., Kim, H., & Kim, H. (2020). Optimization procedure for climate change adaptation investment planning: Case of flood disaster prevention in Seoul. Journal of Water Resources Planning and Management, 146(2), 04019077.

Wang, X., Wang, H.*, Tang, F., Liang, R., & Castaneda, H. (2020). Statistical analysis of spatial distribution of external corrosion defects in buried pipelines using a multivariate Poisson-lognormal model. Structure and Infrastructure Engineering. https://www.tandfonline.com/doi/full/10.1080/15732479.2020.1766516

2019

Gong, W., Tang, H.*, Wang, H., Wang, X., & Juang, H. (2019). Probabilistic analysis and design of stabilizing piles in slope considering stratigraphic uncertainty. Engineering Geology, 259, 105162.

Kim, H., & Ham, Y. (2019). Participatory sensing-based geospatial localization of distant objects for disaster preparedness in urban built environments. Automation in Construction, 107, 102960.

Wang, H.,* Wellmann, J. F., Zhang, T., Schaaf, A., Kanig, M., Verweij, E. von Hebel, C., & van der Kruk, J. (2019). Pattern extraction of subsoil heterogeneity using unsupervised learning approach: An application to satellite derived NDVI time series and electromagnetic induction measurements. Journal of Geophysical Research: Biogeosciences. https://doi.org/10.1029/2019JG005046

 Wang, H., Yajima, A., & Castaneda, H.* (2019). A stochastic defect growth model for reliability assessment of corroded underground pipelines. Process Safety and Environmental Protection, 123, 179-189.

Wang, X., Wang, H.*, & Liang, R. (2019). A semi-supervised clustering-based approach for stratification identification using borehole and cone penetration test data. Engineering Geology, 248, 102-116.

2018

Wang, H.*, Wang, X., Wellmann, J.F., & Liang, R. (2018). A Bayesian unsupervised learning approach for identifying soil stratification using cone penetration data. Canadian Geotechnical Journal.

Wang, H. (2018). Finding patterns in subsurface using a Bayesian machine learning approach. Underground Space.

CONTACT

Center for Intelligent Infrastructure Systems, Dr. Robert Liang, Director

Kettering Laboratories
300 College Park
Dayton, Ohio 45469
937-229-3847
Email