Zobrazeno 1 - 10
of 1 166
pro vyhledávání: '"wave overtopping"'
Autor:
Yunfei Mao, Mingfu Guan
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
The landslide-induced overtopping waves on the dam possesses the potential to release significant energy, presenting a severe hazard to infrastructures and human lives downstream. To gain insight into the complex dynamics of landslide-wave-dam intera
Externí odkaz:
https://doaj.org/article/8aad164d5404464eb07b8511b611f154
Autor:
Moussa S. Elbisy
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 14, Iss 3 (2024)
Coastal defense structures are of paramount importance in protecting coastal communities from the adverse impacts of severe weather events and flooding. This study uses machine learning techniques, specifically Decision Tree (DT), Gradient Boosted Tr
Externí odkaz:
https://doaj.org/article/e412ff24223247aba62f035e6c005fad
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1441 (2024)
Wave overtopping occurring in offshore wind renewable energy structures such as tension leg platforms (TLPs) or semi-submersible platforms is a phenomenon that is worth studying and preventing in order to extend the remaining useful life of the corre
Externí odkaz:
https://doaj.org/article/826391e712154988a066985f0ba4f399
Autor:
Corrado Altomare, Xavi Gironella
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1143 (2024)
This research examines the overtopping volumes associated with focused wave groups on smooth dikes with an emerged toe. Focused wave groups are employed to represent the highest waves of random sea states in a compact form, obviating the need to mode
Externí odkaz:
https://doaj.org/article/904210cb2d88478e92fcced5d9140b09
Publikováno v:
Latin-American Journal of Computing, Vol 10, Iss 2, Pp 20-31 (2023)
Early warning systems are an important tool for local authorities to detect emergency situations in advance and initiate the necessary safety measure. The To-SEAlert project has the aim of increasing the efficiency, robustness and reliability of the
Externí odkaz:
https://doaj.org/article/4d1505fe39b04d09b29c7a5e9b51d867
Publikováno v:
Frontiers in Built Environment, Vol 9 (2023)
The modeling of wave impacts against coastal structures requires the analysis of hundreds or thousands of waves to be statistically meaningful. Long irregular wave attacks, when affordable, can be performed experimentally, but may be inadequate to tr
Externí odkaz:
https://doaj.org/article/1bd400b1b9014cc893425f7602dd856d
Autor:
Alberto Alvarellos, Andrés Figuero, Santiago Rodríguez-Yáñez, José Sande, Enrique Peña, Paulo Rosa-Santos, Juan Rabuñal
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2611 (2024)
This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer port of Punta Langosteira, A Coruña, Sp
Externí odkaz:
https://doaj.org/article/aa688c519de645acb7b59f7b0063bc7e
Publikováno v:
Water, Vol 15, Iss 24, p 4239 (2023)
The safety of pedestrians on a breakwater structure or seawall is significantly influenced by two essential factors: the wave overtopping flow velocity (OFV) and the overtopping layer thickness (OLT). The main issue, however, is that most studies hav
Externí odkaz:
https://doaj.org/article/20ca1d26785243738e0910fd54268398
Autor:
Jose E. Carneiro-Barros, Theocharis A. Plomaritis, Tiago Fazeres-Ferradosa, Paulo Rosa-Santos, Francisco Taveira-Pinto
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5215 (2023)
This study assesses coastal flooding extension mapping based on two innovative approaches. The first is based on the coupling of two robust numerical models (SWASH and LISFLOOD); in this case, discharges were extracted from the wave overtopping resul
Externí odkaz:
https://doaj.org/article/20ed174eb88e45deb8d62c23e7d1e620
Autor:
Yu-Ting Tsai, Ching-Piao Tsai
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 10, p 1925 (2023)
Deep learning techniques have revolutionized the field of artificial intelligence by enabling accurate predictions of complex natural scenarios. This paper proposes a novel convolutional neural network (CNN) model that involves deep learning technolo
Externí odkaz:
https://doaj.org/article/6395d421126645ac90d1074bcfe3a55b