UNCERTAINTY OF SEA TRIALS RESULTS USED FOR VALIDATION OF SHIP MANOEUVRING SIMULATION MODELS

被引:0
|
作者
Gavrilin, Sergey [1 ]
Steen, Sverre [1 ]
机构
[1] NTNU, Dept Marine Technol, Trondheim, Norway
来源
PROCEEDINGS OF THE ASME 34TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2015, VOL 7 | 2015年
关键词
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Increasingly complex marine operations dictate higher need for precise and reliable modelling. For the last decades several different approaches to modelling of ship manoeuvring were developed, including scaled model testing, numerical and empirical methods. Increasingly, time-domain simulation models for ship manoeuvring are developed and used for training and planning of marine operations. Especially when using the simulation models to plan operations, it is essential that the simulation model is properly validated. There is a need for better and more standardized validation methods for such simulation models. A key issue is the uncertainty of the data used in the validation. Typically, the validation will be against full scale trials results. In the study reported in this paper it was found by inspection of repeated tests results that even under relatively calm environmental conditions outcomes of sea trials can be highly uncertain. However, it is very expensive to investigate uncertainty of each type of trial experimentally. Therefore it can be very beneficial to estimate it by means of a simulation model. This paper presents results of analysis of full scale turning circle trials of research vessel "Gunnerus". Turning circle trials with 20 degrees and 35 degrees rudder angle executed both to starboard and port sides are analyzed. Experimental uncertainty analysis is performed. Effectiveness of IMO correction procedure is discussed. Also paper describes a method for determining uncertainty of trial results due to environmental effects by means of simulation model and compares them with experimental uncertainty. The method is based on Monte-Carlo techniques.
引用
收藏
页数:7
相关论文
共 40 条
  • [21] RETROFITTING OF FLETTNER ROTORS – RESULTS FROM SEA TRIALS OF THE GENERAL CARGO SHIP “FEHN POLLUX”
    Vahs M.
    Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, 2020, 162 (A4): : A371 - A379
  • [22] RETROFITTING OF FLETTNER ROTORS - RESULTS FROM SEA TRIALS OF THE GENERAL CARGO SHIP "FEHN POLLUX"
    Vahs, M.
    INTERNATIONAL JOURNAL OF MARITIME ENGINEERING, 2020, 162 : 371 - 379
  • [23] SHIP SCALE SELF PROPULSION CFD SIMULATION RESULTS COMPARED TO SEA TRIAL MEASUREMENTS
    Vukcevic, Vuko
    Jasak, Hrvoje.
    Gatin, Inno
    Uroic, Tessa
    VII INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS IN MARINEENGINEERING (MARINE2017), 2017, : 1052 - 1061
  • [24] Simulation of clinical trials - Procedures for developing models, building confidence and for validation.
    Ko, H
    Peck, C
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 1998, 63 (02) : 172 - 172
  • [25] Features of an Ultra-large Container Ship Mathematical Model Adjustment Based on the Results of Sea Trials
    Pipchenko, O.
    Tsymbal, M.
    Shevchenko, V.
    TRANSNAV-INTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION, 2020, 14 (01) : 163 - 170
  • [26] Uncertainty in parameterisation and model structure affect simulation results in coupled ecohydrological models
    Arnold, S.
    Attinger, S.
    Frank, K.
    Hildebrandt, A.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (10) : 1789 - 1807
  • [27] PIV validation of different turbulence models used for numerical simulation of a centrifugal pump diffuser
    Zhou, Ling
    Bai, Ling
    Li, Wei
    Shi, Weidong
    Wang, Chuan
    ENGINEERING COMPUTATIONS, 2018, 35 (01) : 2 - 17
  • [28] Validation of the high-order polynomial models used in behavioral-level simulation
    Loyka, SL
    Cheremisinov, ID
    TELSIKS '99: 4TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES, PROCEEDINGS, VOLS 1 AND 2, 1999, : 592 - 595
  • [29] Validation of sea ice models using an uncertainty-based distance metric for multiple model variables
    Urrego-Blanco, Jorge R.
    Hunke, Elizabeth C.
    Urban, Nathan M.
    Jeffery, Nicole
    Turner, Adrian K.
    Langenbrunner, James R.
    Booker, Jane M.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2017, 122 (04) : 2923 - 2944
  • [30] Analysis of the Effect of Uncertainty in Rainfall-Runoff Models on Simulation Results Using a Simple Uncertainty-Screening Method
    Shin, Mun-Ju
    Kim, Chung-Soo
    WATER, 2019, 11 (07):