J
Jyh-Jong Liao
Researcher at National Chiao Tung University
Publications - 53
Citations - 1051
Jyh-Jong Liao is an academic researcher from National Chiao Tung University. The author has contributed to research in topics: Transverse isotropy & Isotropy. The author has an hindex of 16, co-authored 53 publications receiving 919 citations.
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Logistic regression model for predicting the failure probability of a landslide dam
TL;DR: In this paper, the authors used logistic regression and the jack-knife technique to identify the important geomorphic variables, including peak flow (or catchment area), dam height, width and length in sequence, affecting the stability of landslide dams.
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Direct tensile behavior of a transversely isotropic rock
TL;DR: The tensile behavior of a transversely isotropic rock is investigated by a series of direct tensile tests on cylindrical argillite specimens with differently inclined angles of foliation.
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Discriminant analysis of the geomorphic characteristics and stability of landslide dams
TL;DR: In this article, the authors used discriminant analysis based on a Japanese dataset consisting of 43 well documented landslide dams to determine the significant variables, including log-transformed peak flow (or catchment area), and log- transformed dam height, width and length in hierarchical order, which affect the stability of a landslide dam.
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Elastic solutions for a transversely isotropic half-space subjected to a point load
Jyh-Jong Liao,Cheng-Der Wang +1 more
TL;DR: In this article, the Fourier and Hankel transforms in a cylindrical co-ordinate system are employed for deriving the analytical solutions of the displacements and stresses in a transversely isotropic elastic half-space.
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Displacements and stresses due to a vertical point load in an inhomogeneous transversely isotropic half-space
TL;DR: In this paper, the authors presented the solutions for displacements and stresses subjected to a vertical point load in a continuously inhomogeneous transversely isotropic half-space with Young's and shear moduli varying exponentially with depth.