Projects per year
Personal profile
Education
- 2000 Dr.-Ing., Technische Universität Darmstadt
Research Interests
- Computational Fluid Dynamics (Numerical Schemes for Conservation Laws)
- Dynamics of Granular Materials
- Geomorphological Fluid Mechanics (Geophysical Mass Flows over General Topography, e.g. Landslides, Debris Avalanches etc.)
Experience
- 2004/08 ~ 2009/01 Assistant Professor, Department of Civil Engineering, National Chi Nan University
- 2009/02 ~ 2010/07 Associate Professor, Department of Civil Engineering, National Chi Nan University
- 2010/08 ~ 2012/07 Assistant Professor, Department of Hydraulic and Ocean Engineering, National Cheng Kung University
- 2012/08 ~ present Associate Professor, Department of Hydraulic and Ocean Engineering, National Cheng Kung University
Fingerprint
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Network
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Projects
- 7 Finished
Research output
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An Idealized Landslide Failure Surface and Its Impacts on the Traveling Paths
Tai, Y. C., Ko, C. J., Li, K. D., Wu, Y. C., Kuo, C. Y., Chen, R. F. & Lin, C. W., 2020 Aug 21, In: Frontiers in Earth Science. 8, 313.Research output: Contribution to journal › Article › peer-review
Open Access -
A numerical and experimental investigation of wave generated by submerged landslides
Li, H. J., Jin, Y. C. & Tai, Y. C., 2020 Dec 15, In: Ocean Engineering. 218, 108203.Research output: Contribution to journal › Article › peer-review
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Application Assessments of Using Scarp Boundary-Fitted, Volume Constrained, Smooth Minimal Surfaces as Failure Interfaces of Deep-Seated Landslides
Kuo, C. Y., Tsai, P. W., Tai, Y. C., Chan, Y. H., Chen, R. F. & Lin, C. W., 2020 Jul 14, In: Frontiers in Earth Science. 8, 211.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Investigating the physical characteristics of dense granular flows by coupling the weakly compressible moving particle semi-implicit method with the rheological model
Ke, L., Jin, Y. C., Xu, T. & Tai, Y. C., 2020 Jul 1, In: Acta Geotechnica. 15, 7, p. 1815-1830 16 p.Research output: Contribution to journal › Article › peer-review
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A non-invasive stochastic-optical method (SOM) for estimating the volume fraction in granular flows: application on interrogation windows with different aspect ratios
Sarno, L., Nicolina Papa, M., Tai, Y. C., Carleo, L. & Villani, P., 2019 Jun 5, In: Journal of Physics: Conference Series. 1249, 1, 012013.Research output: Contribution to journal › Conference article › peer-review
Open Access2 Citations (Scopus)