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Andrea D?Ambrosio and Roberto Furfaro
This paper demonstrates the utilization of Pontryagin Neural Networks (PoNNs) to acquire control strategies for achieving fuel-optimal trajectories. PoNNs, a subtype of Physics-Informed Neural Networks (PINNs), are tailored for solving optimal control pr...
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Liangliang Ding, Xiaoxiao Cui, Liancheng Lu, Xufeng Yin, Xiaoguang Xue, Yuli Zhao and Xu Zhou
Space launch vehicles are usually loaded with a large amount of propellant, and the destructive power caused by their explosion is significant. The altitude of an accidental explosion will lead to differences in the destructive power, because the environ...
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Zhenyu Li, Gang Wang, Shaoming Yao, Feihong Yun, Peng Jia, Chao Li and Liquan Wang
To predict the sealing performance of the subsea pipeline compression connector, a semi-analytical method is proposed and verified. The leakage condition is obtained as a function of the minimum radial deflection. The semi-analytical method consists of t...
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Pouria Amouzadrad, Sarat Chandra Mohapatra and Carlos Guedes Soares
An analytical model of a current load?s interaction with a moored floating flexible structure based on the Timoshenko?Mindlin beam theory is developed under the assumption of small-amplitude wave theory and the structural response. Theoretical solutions ...
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Chong Jiang, Zexiong Shi and Li Pang
The construction of offshore wind power pile foundations on artificial islands is a challenging task due to soil consolidation and additional loads that result in negative skin friction (NSF). In this study, a comprehensive pile?soil interaction model is...
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