WAVE FORECASTS USING AN ARTIFICIAL NEURAL NETWORK FOR PORT CONSTRUCTION MANAGEMENT
-
- TSUDA Muneo
- 東亜建設工業株式会社 技術研究開発センター
-
- MATSUMI Yoshiharu
- 鳥取大学
-
- KIM Sooyoul
- 鳥取大学 大学院工学研究科社会基盤工学専攻
-
- MATSUDA Nobuhiko
- 東亜建設工業株式会社 技術研究開発センター
-
- EGUCHI Mikiko
- 東亜建設工業株式会社 技術研究開発センター
Bibliographic Information
- Other Title
-
- 円滑な海上施工管理のための波浪と作業船の動揺のリアルタイム予測
- エンカツ ナ カイジョウ セコウ カンリ ノ タメ ノ ハロウ ト サギョウセン ノ ドウヨウ ノ リアルタイム ヨソク
Search this article
Description
The present study describes an artificial neural network(ANN)-based real time wave forecast system in order to manage maritime construction works. This system forecasts wave heights, periods and directions up to the lead time of 168 h (7 days) at a construction site using input parameters of wind, sea level pressure and wave. These input data are obtained automatically every hour from websites of public wave data, meteorological stations and wave construction sites. Furthermore, the motion of working vessel and suspended load is predicted using the forecasted wave information. The developed ANN-based real time wave forecast system is applied to a construction site and the forecasted data on the website can be accessed by personal computers and mobile phones.
Journal
-
- Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)
-
Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 73 (2), I_151-I_156, 2017
Japan Society of Civil Engineers