Experimental Data for KCS Added Resistance and ONRT Free Running Course Keeping/Speed Loss in Head and Oblique Waves

Evaluation is performed of the data used for T2015 test cases for the KCS captive added resistance σ_AR and ONRT free running course keeping/speed loss in head and oblique waves. For KCS calm water resistance, the individual facility N-order level testing uncertainty is U_Xi = 1%D and the multiple facility standard deviation based on three institutes using 2 model sizes (L = 7.3 and 6.1 m) is SD = 0.74%D, such that the individual facility MxN-order level testing uncertainty is U_Di = 1.75%D. U_Xi was not reported for sinkage and trim; however, the SD = 4 and 7%D, respectively. For KCS head waves, the analysis was based on three institutes with model sizes L = 6.1, 3.2 and 2.7 m. For the 6.1 m model, FORCE provided U_Xi = 8, 4 and 4%D, respectively, for σ_AR and first harmonic heave z₁/ζ₁ and pitch θ₁/ζ₁k amplitudes, whereas for the 2.7 m model, FORCE/IIHR provided U_Xi = 7/18, 8/2 and 9/5%D, respectively. In consideration of the differences in model sizes and rigid vs. surge free mounts the agreement between the facilities is reasonable: for the primary variables, SD = 3, 20 and 10%D for z₁/ζ₁ and θ₁/ζ₁k amplitudes and σ_AR, respectively; and for secondary variable SD = 66%D for first harmonic resistance C_T1. For KCS oblique waves, the data is only available from IIHR for tests in 2015 and 2016. The agreement is good, i.e., SD values are comparable to the corresponding values for head waves: for primary variables, SD = 6 and 63%D for z₁/ζ₁ and θ₁/ζ₁k amplitudes and σ_AR, respectively; and for secondary variable SD = 13%D for C_T1. For ONRT self-propulsion and head and oblique waves, the data is only available from IIHR and only preliminary uncertainty analysis is available. The evaluation showed reasonably reliable data for both KCS and ONRT. However, clearly it is desirable to have data from more facilities including uncertainty analysis for assessment of facility biases, which will provide more robust data and uncertainty analysis for CFD validation.