Ship waves in Tallinn Bay: Experimental and numerical study

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Ship waves in Tallinn Bay: Experimental and numerical study Tomas Torsvik Bergen Center for Computational Science UNIFOB AS In collaboration with Tarmo Soomere Wave Engineering Centre for Nonlinear studies Institute of Cybernetics Tallinn University of Technology SEAMOCS workshop, Malta 2009

Outline of talk Background and motivation Basic properties of ship generated waves Equations for the numerical model Ship waves in the Tallinn Bay area Summary

The Baltic Sea and Tallinn Bay

Wash waves from high speed vessels HSC SuperSeaCat IV Service Speed: 38 knots ( 20 m/s) Dimensions: Length: Width: Draught: 100.30 m 17.10 m 2.60 m Waves from high speed vessels: Long wave lengths and wave periods. Large wave energy. Qualitatively different from waves generated by conventional ships. Potentially dangerous for people on the shore or in small boats. May damage structures at the shore or moored vessels. May increase erosion and disturb marine habitats.

Parameters for ship wave generation Length Froude number: F L = U glw High speed vessels: FL > 0.4 Maximum wave resistance (hump speed): 0.4 < FL < 0.6 Depth Froude number: F h = U gh Maximum wave resistance: Fh 1 Yang 1 : Wave resistance amplification when h/l w < 0.4 For F h 1 and h/l w 0.2: R h /R 3 1 Q. Yang, Wash and Wave Resistance of Ships in Finite Water Depth. PhD thesis, NTNU Trondheim, 2002

Parameters for ship wave generation Length Froude number: F L = U glw High speed vessels: FL > 0.4 Maximum wave resistance (hump speed): 0.4 < FL < 0.6 Depth Froude number: F h = U gh Maximum wave resistance: Fh 1 Yang 1 : Wave resistance amplification when h/l w < 0.4 For F h 1 and h/l w 0.2: R h /R 3 1 Q. Yang, Wash and Wave Resistance of Ships in Finite Water Depth. PhD thesis, NTNU Trondheim, 2002

Parameters for ship wave generation Length Froude number: F L = U glw High speed vessels: FL > 0.4 Maximum wave resistance (hump speed): 0.4 < FL < 0.6 Depth Froude number: F h = U gh Maximum wave resistance: Fh 1 Yang 1 : Wave resistance amplification when h/l w < 0.4 For F h 1 and h/l w 0.2: R h /R 3 1 Q. Yang, Wash and Wave Resistance of Ships in Finite Water Depth. PhD thesis, NTNU Trondheim, 2002

Wave drag E. O. Tuck, D. C. Scullen, and L. Lazauskas (24th Symposium on Naval Hydrodynamics, Fukuoka, Japan, 2002) Wave resistance of a parabolic strut. Comparison between theory and experiment.

Ship wave patterns Subcritical: F h < 0.6 Critical: F h 1 Supercritical: F h > 1.2 1.4

Ship wave patterns Subcritical: F h < 0.6 Critical: F h 1 Supercritical: F h > 1.2 1.4

Ship wave patterns Subcritical: F h < 0.6 Critical: F h 1 Supercritical: F h > 1.2 1.4

Kelvin angle F h < 1 : F 2 h = tanh(kh) 2kh [ ] 3 2kh sinh(2kh) sin α = 1+2kh sinh 1 (2kh) 3 2kh sinh 1 (2kh) F h > 1 : F h = 1 sin α

Boussinesq equations Formulate equations in terms of depth averaged velocity ū, where H = ( / x, / y). Continuity equation: Momentum equation: η t + H [(h + η)ū] = 0 ū t + (ū H )ū = H η H p a + 1 3 h2 H H ( ) ū t Higher order formulations: Include higher order H h terms for stronger depth variation. Include dispersive terms with higher order nonlinear correction terms.

Waves generated by a pressure disturbance Waves generated by a moving pressure disturbance. Simple to implement. Realistic ship wake patterns except near the wave source.

The COULWAVE model Homepage: http://isec.nacse.org/models 2-D depth integrated model, with multiple vertical layers. Fully nonlinear equations: ɛ = O(1) Accurate representation of linear dispersion for λ 2h. Originally discretized with finite differences, recent development of finite volume version. 4th order predictor-corrector method for time integration. Sponge layers used at open boundaries. Wave runup enabled by linear extrapolation through the wet-dry boundary at the coast. Wave breaking enabled through an eddy viscosity model. Pressure disturbance is not included in the standard COULWAVE model.

Field work at Aegna Island, Summer 2008

Ship tracks and Froude numbers

Wave measurements at Aegna

Echo sounder: Mobile Log_aLevel (General Acoustics GMBH) Range: Resolution Sample rate: Frequenzy: 6 m 1 mm up to 5 Hz 80 khz

Measurements of wave height and runup Scatter diagram: Maximum wave height vs. maximum wave runup. Large amplification of small waves (> 2). Small amplification of large waves, due to breaking. Nordic and SuperSeaCat produce a wide wave spectrum. Difficult to control wave runup by limiting wave height in the sea.

Measurements for a single event Wave record (blue), wave height (red), and runup height (black). Dashed line: Hunt (1959) - low amplitude sea swell. Solid line: Massel and Pelinovsky (2001) - moderate amplitude dispersive and breaking waves. Black squares: 5 largest waves from the first wave group.

Simulated results Track 1: June 29-2008 Track 2: July 5-2008 Western half-angle Eastern half-angle Track 1 21 30 Track 2 22 26

Comparison between measurements and simulations Main features of the leading wave group is represented in the simulations. Significant errors in the trailing wave train. Wave periods are slightly larger in the simulations than in the measurements. Wave amplitudes are generally not well represented in the simulations. June 29-2008 July 5-2008 Period Amplitude Period Amplitude Measurements 10.6 s 0.45 m 8.8 s 0.20 m Simulations 10.8 s 0.46 m 9.2 s 0.27 m

Max Wave amplitude distribution in Tallinn Bay I Large spatial variability in maximum wave amplitude. I Significant differences in max amplitude distribution between tracks 1 and 2.

Summary Long waves generated by high speed vessels are a recent addition to the typical wave specter in coastal areas. a potential safety and environmental hazard. The long wave part of the ship wash is well described by the Boussinesq equations. Wake waves from ships may be significantly influenced by the local topography. Numerical simulations may help to locate areas of intense wave action, which can be useful in wave forecasting and in the planning of field studies. Comparison between simulations and measurements show qualitative similarities, but quantitative results are not accurate.

Thank you for your attention!