Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zhangping Wei"'
Autor:
Zhangping Wei, Hai Cong Nguyen
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 12, p 1980 (2022)
This study presents an encoder–decoder neural network model to forecast storm surges on the US North Atlantic Coast. The proposed multivariate time-series forecast model consists of two long short-term memory (LSTM) models. The first LSTM model enc
Externí odkaz:
https://doaj.org/article/9dbee1e229634ff39102c863a76aa16c
Autor:
Landon Calton, Zhangping Wei
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1466 (2022)
Coastal hazard events such as hurricanes pose a significant threat to coastal communities. Disaster relief is essential to mitigating damage from these catastrophes; therefore, accurate and efficient damage assessment is key to evaluating the extent
Externí odkaz:
https://doaj.org/article/e44484eaf31c43c2841c3b05f4c3c992
Publikováno v:
China Ocean Engineering. 34:853-862
This paper proposes an equation to calculate breaking wave induced wave set-up and set-down along reef flat. The mathematical equation was derived based on the theory of radiation stress and the conservation of wave energy. The equation is primarily
Publikováno v:
Journal of Oceanology and Limnology. 37:1899-1911
Accurate estimation of wave uplift force is essential to the designs of reliable coastal and marine structures. We presents a series of laboratory work here on the impact of regular waves on horizontal panels, from which an empirical formula to estim
Publikováno v:
Ocean Engineering. 183:332-349
This study presents a fully coupled numerical approach to study wave energy converters interaction with water waves. The open-source Smoothed Particle Hydrodynamics model GPUSPH is used to resolve wave dynamics and compute the hydrodynamic force on w
Autor:
Andrew Davison, Zhangping Wei
Publikováno v:
Coastal Engineering. 171:104044
This study proposes a convolutional neural network (CNN) based model to predict waves and hydrodynamics in the nearshore zone. Specifically, we address the so-called next-frame prediction of wave and hydrodynamic conditions using the previous-step co
Publikováno v:
Coastal Engineering. 140:272-291
This study investigates the chaotic behavior of breaking waves by laboratory experiments and numerical modeling. Repeated laboratory runs with different initial velocity perturbations show that the wave profile before the wave breaks can be accuratel
Autor:
Zhangping Wei
Publikováno v:
Ocean Engineering. 237:109646
This study presents an artificial intelligence (AI) model to forecast time-series wind waves in the US Atlantic Coast. The fundamental technique in the proposed model is the Long Short-term Memory model, which is able to learn patterns from data sequ
Publikováno v:
Journal of Geophysical Research: Oceans. 122:4143-4162
This study investigates short-crested waves in the surf zone by using the mesh-free Smoothed Particle Hydrodynamics model, GPUSPH. The short-crested waves are created by generating intersecting wave trains in a numerical wave basin with a beach. We f
Autor:
Robert A. Dalrymple, Zhangping Wei
Publikováno v:
Journal of Ocean Engineering and Marine Energy. 2:365-380
This study applies the numerical model of GPUSPH, an implementation of the weakly compressible Smoothed Particle Hydrodynamics method on graphics processing units, to investigate tsunami forces on bridge superstructures and tsunami mitigation on brid