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Estimation of Hydrodynamic Coefficients from Results of Real Ship Sea Trials

   | Jan 18, 2019

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1. Abkowitz, M. A.: Measurement of Hydrodynamic Characteristics from Ship Manoeuvring Trials by System Identification, SNAME Transactions, Vol. 88 (1980), pp. 283-318.Search in Google Scholar

2. Clarke, D., P. Gedling, G. Hine: The Application of Manoeuvring Criteria in Hull Design Using Linear Theory, Transactions of the RINA, London (1983), pp. 45-68.Search in Google Scholar

3. Hwang, W. Y.: Application of System Identification to Ship Manoeuvring, PhD thesis, MIT (1980).Search in Google Scholar

4. Kim, D. W., K. Benedict, M. Paschen: Estimation of Hydrodynamic Coefficients from Sea Trials Using a System Identification Method, Journal of the Korean Society of Marine Environment & Safety, Vol. 23, No. 3 (2017), pp. 258-265.10.7837/kosomes.2017.23.3.258Search in Google Scholar

5. Im, N., S. Kweon, S. Kim: The Study on the Effect of Loading Condition on Ship Manoeuvrability, Journal of the Society of Naval Architects of Korea, Vol. 42, No. 2 (2005), pp. 105-112.10.3744/SNAK.2005.42.2.105Search in Google Scholar

6. ITTC: The Manoeuvring Committee - Final Report and Recommendations to the 25th ITTC, Proceedings of 25th ITTC, Vol. 1 (2008), pp. 145-152.Search in Google Scholar

7. Kijima, K., T. Katsuno, Y. Nakiri, Y. Furukawa: On the manoeuvring Performance of a Ship with the Parameter of Loading Condition, Journal of the Japan Society of Naval Architects and Ocean Engineers, No. 168 (1990), pp. 141-148.10.2534/jjasnaoe1968.1990.168_141Search in Google Scholar

8. Kijima, K., Y. Nakiri, Y. Furukawa: On the Prediction Method for Ship Manoeuvrability, Proceedings of the Internal Workshop on Ship Manoeuvrability, Hamburg Ship Model Basin, No. 7 (2000).Search in Google Scholar

9. Kose, K.: Studies on the Effect of Loading Condition on the Maneuverability of Ships, Journal of the Japan Society of Naval Architects and Ocean Engineers, No. 82 (1991), pp. 155-165.Search in Google Scholar

10. Nocecdal, J.,. Wright S. J: Numerical Optimization - second edition, Springer (2006).Search in Google Scholar

11. Norrbin, N. H.: Theory and Observations on the Use of a Mathematical Model for Ship Manoeuvring in Deep and Confined Waters, SSPA Publication, No. 68, Gothenburg (1971).Search in Google Scholar

12. Oltmann, P.: Identification of Hydrodynamic Damping Derivatives - A Progmatic Approach, International Conference on Marine Simulation and Ship Manoeuvrability, Vol. 3, Paper 3 (2003), pp. 1-9.Search in Google Scholar

13. Rhee, K. P., K. Kim: A New Sea Trial Method for Estimating Hydrodynamic Derivatives, Journal of Ship and Ocean Technology, Vol. 3, No. 3 (1999), pp. 25-44.Search in Google Scholar

14. Saha, G. K., A. K. Sarker: Optimization of Ship Hull Parameter of Inland Vessel with Respect to Regression Based Resistance Analysis, Proceedings of MARTEC - The International Conference of Marine Technology (2010).Search in Google Scholar

15. Seils, J.: Die Identifikation der hydrodynamischen Parameter eines mathematischen Modells fur die gesteuerte Schiffsbewegung mit Verfahren der nichtlinearen Optimierung (in German), Doktorarbeit der Hochschule fur Seefahrt Warnemunde-Wustrow (1990).Search in Google Scholar

16. Tran, K. T., A. Ouahsine, F. Hissel, P. Sergent: Identification of Hydrodynamic Coefficients from Sea Trials for Ship Manoeuvring Simulation, Transport Research Arena, Paris (2014).Search in Google Scholar

17. Yasukawa, H., Y. Yoshimura, K. Nakatake: Hydrodynamic Forces on a Ship Moving with Constant Rudder Angle: A Theoretical Treatment of Rudder Angle Test, Proceeding of MARSIM 1996 (1996), pp. 435-448.10.1201/9780203748077-54Search in Google Scholar

18. Yoon, S., D. Kim, S. Kim: A Study on the Manoeuvring Hydrodynamic Derivatives Estimation Applied the Stern Shape of a Vessel, Journal of the Society of Naval Architecture of Korea, Vol. 53, No. 1 (2016), pp. 76-83.10.3744/SNAK.2016.53.1.76Search in Google Scholar

19. Zhang, X., Z. Zou: Identification of Abkowitz Model for Ship Manoeuvring Motion Using Support Vector Regression, Journal of Hydrodynamics, Vol. 23, No. 3 (2011), pp. 353-360.10.1016/S1001-6058(10)60123-0Search in Google Scholar

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