Sustainable Development and Innovations in Coastal and Off-Shore Areas

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Coastal Engineering".

Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 1731

Special Issue Editor


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Guest Editor
Department of Civil, Chemical, Environmental, and Materials Engineering, Alma Mater Studiorum Universita di Bologna, Bologna, Italy
Interests: coastal engineering; coastal risk; coastal management; wave overtopping; marine renewables; wave energy; off-shore platforms
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Special Issue Information

Dear Colleagues,

The safety and well-being of coastal and off-shore areas requires a cross-cutting cross-shore sustainable strategy, encompassing adaptation to climate change by exploiting marine renewables and innovative clusters of near-shore and on-shore solutions providing continuity-of-daily-life. Sustainable management solutions include multi-use marine areas, hybrid off-shore energy plants, new devices for marine renewable energy harvesting, building-with-nature approaches, eco-friendly beach management, multifunctional structures, and multi-hazard interventions. The strategic planning of these solutions can be supported by numerical modelling, interdisciplinary works, prototype tests, innovative monitoring systems and GIS-based tools, that allow -through a scenario analysis- to assess risk across a range of spatial and temporal scales and to compare the environmental, social and economic impact of clusters of solutions.

This Special Issue on JMSE aims at collecting papers on new findings and review papers dealing with the sustainable management solutions indicated above, both in off-shore and coastal areas, and on the related methodologies.

Dr. Barbara Zanuttigh
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • coastal adaptation
  • sustainable coastal management
  • coastal risk
  • ecologically friendly coastal structures
  • sustainable marine development
  • marine renewables
  • off-shore platforms
  • decommissioning

Published Papers (1 paper)

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Research

16 pages, 2920 KiB  
Article
Mitigation of Ice-Induced Vibration of Offshore Platform Based on Gated Recurrent Neural Network
by Peng Zhang, Zhihao Wu, Chunyi Cui and Ruqing Yao
J. Mar. Sci. Eng. 2022, 10(7), 967; https://doi.org/10.3390/jmse10070967 - 14 Jul 2022
Viewed by 1332
Abstract
Ice-induced vibration is one of the major risks that face the offshore platform located in cold regions. In this paper, the gated recurrent neural network (GRNN) is utilized to predict and suppress the response of offshore platforms subjected to ice load. First, a [...] Read more.
Ice-induced vibration is one of the major risks that face the offshore platform located in cold regions. In this paper, the gated recurrent neural network (GRNN) is utilized to predict and suppress the response of offshore platforms subjected to ice load. First, a simplified model of the offshore platform is derived and validated based on the finite element model (FEM). The time history of the floating ice load is generated using the harmonic superposition method. Gated Recurrent Unit Network (GRU) and the Long-Short-Term Memory Network (LSTM) are composed in MATLAB to predict the behavior of the off-shore platform. Afterward, the linear quadratic regulator (LQR) control algorithm is used to calculate the controlling force for the training of the GRU/LSTM-based prediction controller. Numerical results show that the ice-induced vibration response prediction method based on GRU network design can predict the structural response with satisfying accuracy, and the ice-induced vibration response control method based on the LSTM network and GRU network design can learn the LQR method well and achieve good control effect. Time lag and other problems that the vibration control programs often encountered were solved well. Full article
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