Supported by Shandong Provincial Natural Science Foundation,China(ZR2020ME259);Open Fund of Shandong Key Laboratory of Civil Engineering Disaster Prevention and Mitigation(CDPM2021KF21).
Two asymmetric types of floating breakwaters integrated with a wave energy converter(WEC-FBs),a floating square box with a triangle(trapezoidal type)or a wave baffle(L type)attached to its rear side,have been proposed...
supported in part by the High-tech ship scientific research project of the Ministry of Industry and Information Technology of the People’s Republic of China,and the National Nature Science Foundation of China(Grant No.71671113);the Science and Technology Department of Shaanxi Province(No.2020GY-219);the Ministry of Education Collaborative Project of Production,Learning and Research(No.201901024016).
Ship outfitting is a key process in shipbuilding.Efficient and high-quality ship outfitting is a top priority for modern shipyards.These activities are conducted at different stations of shipyards.The outfitting plan ...
Supported by the National Natural Science Foundation of China(No.51909154);Shanghai Engineering Research Center of Ship Intelligent Maintenance and Energy Efficiency(No.20DZ2252300).
Using natural gas(NG)as the primary fuel helps alleviate the fossil fuel crisis while reducing engine soot and nitrogen oxide(NO_(X))emissions.In this paper,the influences of a novel split injection concept on an NG h...
Supported by the EDD of China(No.80912020104);the Science and Technology Commission of Shanghai Municipality(No.22ZR1427700 and No.23692106900).
The traditional A^(*)algorithm exhibits a low efficiency in the path planning of unmanned surface vehicles(USVs).In addition,the path planned presents numerous redundant inflection waypoints,and the security is low,wh...
Supported by the Tianjin University of Technology Graduate R esearch Innovation Project(YJ2281).
An improved version of the sparse A^(*)algorithm is proposed to address the common issue of excessive expansion of nodes and failure to consider current ship status and parameters in traditional path planning algorith...
The authors(Cai et al.,2022)claim that their proposed machine learning(ML)models,which are based on three typical ML algorithms and are trained to predict the burst capacity of pitting corroded pipelines,perform bette...
With the booming of Industrial Internet of Things(IIoT)and Artificial Intelligence(AI),the objective of the work in Cai et al.(2022)is to explore the utilizing of data-driven methodology for the prediction of the burs...
Supported by the National Natural Science Foundation of China under Grant No.52131102.
With the rapid advancement of machine learning technology and its growing adoption in research and engineering applications,an increasing number of studies have embraced data-driven approaches for modeling wind turbin...
Supported by the National Natural Science Foundation of China(Nos.52222904 and 52309117);China Postdoctoral Science Foundation(Nos.2022TQ0168 and 2023M731895).
Ocean energy has progressively gained considerable interest due to its sufficient potential to meet the world’s energy demand,and the blade is the core component in electricity generation from the ocean current.Howev...
Supported by the National Natural Science Foundation of China(Nos.52192693,52192690,52371270,U20A20327);the National Key Research and Development Program of China(Nos.2021YFC2803400).
Ice-breaking methods have become increasingly significant with the ongoing development of the polar regions.Among many ice-breaking methods,ice-breaking that utilizes a moving load is unique compared with the common c...