Z
Zilong Ti
Researcher at Southwest Jiaotong University
Publications - 19
Citations - 182
Zilong Ti is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Engineering & Computer science. The author has an hindex of 5, co-authored 9 publications receiving 66 citations. Previous affiliations of Zilong Ti include University of California, Los Angeles.
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Numerical study on the stochastic response of a long-span sea-crossing bridge subjected to extreme nonlinear wave loads
TL;DR: In this article, a framework to investigate the stochastic response of a long-span sea-crossing bridge under extreme nonlinear wave loads was proposed based on the combined use of the spectral wave model MIKE21 SW, the 3D diffraction theory hydrodynamic solver AQWA and the structural analysis tool ANSYS.
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Assessment of random wave pressure on the construction cofferdam for sea-crossing bridges under tropical cyclone
TL;DR: In this paper, a real cofferdam for sea-crossing bridge was used to measure the random wave pressure during Typhoon Dujuan in 2015, and the first order diffraction theory is used to calculate the wave pressure numerically.
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Numerical simulation of wave conditions in nearshore island area for sea-crossing bridge using spectral wave model:
TL;DR: In this article, the authors present a numerical simulation and a field measuremen to assess wave conditions for the design, construction, and structural analysis of a sea-crossing bridge.
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Trivariate joint probability model of typhoon-induced wind, wave and their time lag based on the numerical simulation of historical typhoons
TL;DR: In this paper, the authors adopted the concept of the pair-copula decomposed model to develop a trivariate joint probability model of typhoon-induced maximum wind speed, maximum wave height and their time lag.
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Estimation of the significant wave height in the nearshore using prediction equations based on the Response Surface Method
TL;DR: In this article, a response surface method (RSM) is introduced to develop prediction equations in order to estimate nearshore wave height from offshore wave data when the nearshore measurement data were not available or sufficient.