日本財団 図書館

共通ヘッダを読みとばす


Top > 産業 > 運輸.交通 > 成果物情報

Conference Proceedings Vol. I, II, III

 事業名 海事シミュレーションと船舶操縦に関する国際会議の開催
 団体名 日本船舶海洋工学会 注目度注目度5


7. CONCLUSIONS
 Simulation techniques for estimating ship response in waves are proposed. In this system, directional wave spectrum is estimated from time-history data of ship motion. Using the estimated spectra, ship response to all possible course and speed changes can be simulated. Information about ship response can then be predicted before a decision to change course or speed is made.
 
Fig.5 Instantaneous autospectra of pitch angle.
 
Fig.6 Estimated directional wave spectrum.
 
Fig.7 Comparison of predicted and measured pitching motion.
 
Fig.8 
Comparison of the longitudinal bending stress power spectrum.
 
 Results of the on-board experiments that were carried out to verify the system are summarized below:
 
(1) It is possible to estimate the directional wave spectra based on the instantaneous cross spectrum analysis and the recursive Bayesian modeling procedure even under nonstationary conditions.
 
(2) Assuming that the directional wave spectrum is stationary in time, future ship motions can be evaluated based on the previously estimated directional wave spectrum.
 
 The authors thank the captain and crew of the training ship Shioji Maru, Tokyo University of Mercantile Marine. This work is partly supported by Grant-in-Aid for Scientific Research (No.14550858) from the Ministry of Education, Culture, Sports, Science and Technology of Japan. The authors would like to acknowledge their support.
 
REFERENCES
[1] Iseki, T and Terada, D. "Bayesian Estimation of Directional Wave Spectra for Ship Guidance System," Int. J Offshore and Polar Eng, ISOPE, Vol 12 No 1, pp 25-30, 2002.
[2] Terada, D and Iseki, T. "Onboard Ship Motion Analyzer Based on Nonstationary Time Series Analysis, "Proc 12th International Offshore and Polar Engineering Conference, ISOPE, Vol 3, pp 438-443, 2002.
[3] Kitagawa, G and Gersch, W. "A smoothness priors time varying AR coefficient modeling of nonstationary covariance time series," IEEE Transaction on Automatic Control, Vol AC-30, No 1, pp 48-56, 1985.
[4] Jiang, XQ and Kitagawa, G. "A time varying coefficient vector AR modeling of nonstationary covariance time series," Signal Processing, Vol 33, No 3, pp 315-331, 1993.
[5] Iseki, T. and Terada, D. "Recursive Bayesian Modeling for Online Estimation of Directional Wave Spectra," Proc 13th International Offshore and Polar Engineering Conference, ISOPE, 2003.
[6] Akaike, H et al. "TIMSAC-78," Computer Science Monographs, No 11, The Institute of Statistical Mathematics, Tokyo, Japan, 1979.
[7] Kitagawa, G and Akaike, H. "OnTIMSAC-78," Applied Time Series Analysis II, Academic Press, pp 499-547, 1981.
[8] Akaike, H. "Likelihood and Bayes procedure" Bayesian Statistics, University Press, Valencia, pp 143-166, 1980.
 
AUTHOR' S BIOGRAPHY
Toshio Iseki:
 Graduated from Dept. of Naval Architecture, Kyushu University (1984), and completed graduate course for doctor's degree (1989)
 Lecturer (1989). Associate Professor (1990) of Tokyo University of Mercantile Marine.
 
Daisuke Terada:
 Graduated from Dept. of Marine System Engineering, Tokyo University of Mercantile Marine (1998), and completed graduate course for doctor's degree (2003).
 M.O. Marine Consulting, Ltd (2003)







サイトに関するご意見・ご質問・お問合せ   サイトマップ   個人情報保護

日本財団会長笹川陽平ブログはこちら



ランキング
注目度とは?
成果物アクセスランキング
122位
(32,630成果物中)

成果物アクセス数
108,008

集計期間:成果物公開〜現在
更新日: 2020年10月17日

関連する他の成果物

1.MARSIM'03 開催報告
2.本会議及びワークショップ開催状況写真
3.九州における離島住民からみた交通バリアフリー化に関する調査研究?鹿児島県をモデルケースとして? 報告書
  [ 同じカテゴリの成果物 ]


アンケートにご協力
御願いします

この成果物は
お役に立ちましたか?


とても役に立った
まあまあ
普通
いまいち
全く役に立たなかった


この成果物をどのような
目的でご覧になりましたか?


レポート等の作成の
参考資料として
研究の一助として
関係者として参照した
興味があったので
間違って辿り着いただけ


ご意見・ご感想

ここで入力されたご質問・資料請求には、ご回答できません。






その他・お問い合わせ
ご質問は こちら から