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Study of the stability and the hull integration with the propulsion system of a riverine support vessel, in order to optimize the efficiency of the propulsion plant and improve its maneuverability in its operations area
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Computational optimization of stability, propulsion
and maneuverability of a riverine vesseland maneuverability of a riverine vessel
Lieutenant Commander Luis Javier Serrano Tamayo
Colombian Navy
University of the Andes - Naval Academy “Admiral Padilla”
COLOMBIA
Contents
1. Introduction
2. Hull and Stability
3. Resistance and Propulsion System
4. Maneuverability
5. Conclusions
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Riverine importance of Colombia1. Introduction
Coasts and Andean Region:
55% Territory95% Population
Amazon Jungle:
2nd country in biodiversity Caribbean Sea
Pacific Ocean
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Amazon Jungle:
45% Territory05% Population
Highways
Rivers
Pacific Ocean
ProblemThe 1rst generation of RPV’s (Riverine Patrol Vessels) are very useful
ships, but the armor is very heavy, the motors were racing just 1500
of the 1800 RPM, the propellers were present cavitation and the
ships should improve their maneuverability due to the narrow rivers.
1. Introduction
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
20 mm
20 mm
¼”
¼”
¼”
Arena
Arena
20 mm
20 mm
¼”
¼”
¼”
Arena
Arena
Polyurethane
Polyurethane
General goal
The study of the integration between the hull
and the propulsion system of the RPVs in
order recommend improvements to optimize
1. Introduction
order recommend improvements to optimize
its propulsion system and reduce the tactical
diameter in their operational area.
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Hull geometry construction in field
2. Hull and Stability
Station 4; x=1,75 mhalf width
(axis "y")
height
(axis "z")
Point 1 0 1.7
Point 2 1.7 1.65
Point 3 2.7 1.58
Point 4 2.7 1.295
Is only necessary to write a half width, the software GHS
(General Hydrostatics) completes the shape
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Point 4 2.7 1.295
Point 5 1.62 1.115
Point 6 1.18 0.575
Point 7 0.89 0.37
Point 8 0.78 0.31
Point 9 0 0
1st edition results
Reference point 0,0,0
The bow has to be refined
2. Hull and Stability
Astern reached soft
curves and it was ready
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Refining process (fairing)
The control points were used to
accomodate the geometry
properly, as well as other
Rhinoceros software commands.
2. Hull and Stability
It was possible to obtain a faired
surface of the hull and to model
3D the hull of the RPVs.
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Tanks construction
2. Hull and Stability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The tanks were constructed utilizing different GHS commands which permit fill in or fill out the tnaks in order to evaluate different loading conditions.
Coefficients of form2. Hull and Stability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The curves show the full forms of the ship (above 0.8), as well as the variation of the form coeffcients below 0.5 m of depth, due to the semi-tunnels in the astern (propellers).
Hyidrostatics curves2. Hull and Stability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
H. Curves indicate different values to evaluate the intact stability of the ship (no trim) for different loading conditions.
metacentric radius
long. moment I
Weight previous studies (Methods by main characteristics)
Method Result
Method of Benford Used for bigger ships displacements
Method of Danckwardt L/D is too little
Method of Lamb Lenght is too little
Method of Mandel Non logical value
2. Hull and Stability
Method of Mandel Non logical value
Method of Murray Non logical value
Method of Osorio Could be useful as a reference
Method of J.L. García G. Too little value
The main characteristics methods evaluate the weight of any ship according
formulas related to other ships of the same type, but as conclusion, none
method satisfied the weight of the RPV precisely.
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Weights study. Ship Work Breakdown Structure (SWBS)
GRUPO CONCEPTO
100 Hull Strcuture
200 Propulsion plant
300 Electrical plant
400 Communications and Command
500 Auxiliary services
2. Hull and Stability
600 Equipment and Furniture
700 Weapons
M Margins
F Deadweight
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The SWBS has subgroups and elements which describe precisely all the shipcomponents. Every one has a weight and a position in the 3D model and allthe weights were inserted to model the ship with its components.
Summary of calculated loads according SWBS
2. Hull and Stability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
When every weight is calculated and its 3D position is related to the reference point, the final result is the CG of the ship.
Example of weight distribution in the different stations
2. Hull and Stability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The example shows the longitudinaldistribution of some elements of the 100SWBS group in the stations used to dividethe lenght of the ship.
Curves of Loads
Light ship. The weight of the ship without
any deadweight. Equitative distribution of
loads. Main weights are astern.
Minimal operational condition. The ship
has the minimum deadweight to
2. Hull and Stability
There are three main loading conditions:
has the minimum deadweight to
navigate. Water tanks 2/3 of load and
fuel 1/3 of load.
Full load. The ship has the 100% of
deadweight. Liquid cargo create punctual
weights in some stations.
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Stability criterion DDS-079 USN
Protection of vital spaces and main wall spacing
1. Spacing between transversal bulkheads = 10’ + 0.03 LBP
2. Collision bulkhead must be maximum at 5% de LBP
3. Crossed connections must be prevented
2. Hull and Stability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The ship passed the spacing criterion
DDS-079 USN. Stability Threats
1. Beam wind combined with rolling
2. Heavy lifting over one side
3. Towing forces
4. People crowding over one side
2. Hull and Stability
4. People crowding over one side
5. High speed turning
6. Top icing
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The first and the last two pose no threat to the vesselconsidering its characteristics and surroundings.
Stability Criterion. 46CFR Part 170. USCG
Minimal metacentric permitted height
2)1309(028.0 LP +=
2. Hull and Stability
)tan(TW
PAHGM ≥
Factor for shallow waters maneuvering
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Results for the minimal operational condition
The ship shows good intact stability, because passed the criteria
2. Hull and Stability
The ship shows good intact stability, because passed the criteria
established and is confirmed the prediction that if a ship have high
Width/Depth ratio will have a good intact stability. 7.2 m / 1.2 m = 6
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
• General cargo ship, 40 m/ 20 m = 2
• Container ship, 60 m/ 30 m = 2
• Oiler ship, 80 m/ 35 m = 2.3
• USN Aircrat carrier, 112 m/ 45 m = 2.5
Critical points
The critical points are those that permit a progressive flooding
in the ship, for example, the ventilation of machinery room.
Critical point intersection at 24° of heeling
2. Hull and Stability
at 24° of heeling
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Analysis of NAVCAD sistematic series
Method Result
Basic Formula Value spectrum too widht
Holtrop Method BWL/T ratio too short
Oortmerssen Method BWL/T ratio too short
Denmark Univ. Method OK, LWL/BWL quite short
3. Resistance and Propulsion System
USNA YP Series Characteristics matched
60 Series Only for round bilge keel ships
Nordstrom y YP 81-1 Series High dead keel
64, SSPA, NPL y Dutch Series Planning hulls
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The ship characteristics must match properply to use the sistematic series of NAVCAD, otherwise is not possible to use.
Hull characteristics
3. Resistance and Propulsion System
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
In the hull data, the main influence factor is the wetted surface for resistance prediction
Environmental characteristics
3. Resistance and Propulsion System
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
In the environment data, the main influence factor is the depth of the channel (river) for resistance prediction.
The “Squat” effect
Is the change in the draft and trim of a ship, as result of
variations in the hydrodinamic pressure over the hull.
3. Resistance and Propulsion System
In this critical zone, if the
ship in navigating in shallow
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
ship in navigating in shallow
waters, eventually can touch
the bottom.
Squat variation at
different depths
0.3
0.4
0.5
0.6
0.7
0.8
Squ
at m
PREDICCIÓN MANACACÍAS-1m.nc4
PREDICCIÓN MANACACÍAS-3m.nc4
PREDICCIÓN MANACACÍAS-6m.nc4
PREDICCIÓN MANACACÍAS-9m.nc4
The squat curve for 1 m depth
shows the three cirtical regions.
The other are always in the
subcritical region.
3. Resistance and Propulsion System
0 2 4 6 8 10 12 140
0.1
0.2
0.3
Vel ktsregión
subcríticaregión crítica región
supercrítica
subcritical region.
What is the minimum depth for
secure navigation, without
squat effect?
The ship is in full load condition.
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Subcritical region
Critical region
Supercritical region
Squat effect in resistance
3. Resistance and Propulsion System
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
4000 N difference between 3-6 m
Minimal secure depth = 3 meters
3. Resistance and Propulsion System
There are other problems associated:
Vibrations
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Cavitation of propellers due to reverse trim
Resistance and motor performance
• 02 DD671L motors, 180 BHP
@ 1800 rpm
• 02 Twin Disc gearings, 2.45:1
• 02 FP propellers, 3B, 36”X32”
3. Resistance and Propulsion System
1800
Detalles of eroded blade
due to cavitation
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Previous performance area of the motors
Optimal pitch selection
0.48
0.50
Pro
pEff
BS-3: 0.914x0.813x0.450
BS-3: 0.914x0.555x0.450
BS-4: 0.914x0.530x0.610
3. Resistance and Propulsion System
2 3 4 5 6 7 8 9 100.44
0.46
Vel kts
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
The 3 blade propellers show better performance in efficiency evaluation
Optimal expanded area of the blade
0.46
0.48
0.50
Pro
pEff
BS-3: 0.914x0.555x0.450
BS-3: 0.914x0.546x0.800
GA-3: 0.914x0.503x0.800
3. Resistance and Propulsion System
1 2 3 4 5 6 7 8 90.40
0.42
0.44
Vel kts
Pro
pEff
The comparison between B-Series and Gawn propellers was more favourable toB-Series. In the other hand, not always more blade area means more efficiency.
Optimal performance
• Optimal P/D ratio
• More speed
• More power
3. Resistance and Propulsion System
Optimal P/D
Previous P/D
• Less carbon in cylinders
• Less manteinance
• Less emissions
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Fuel consumption and range
Fuel consumption
Half gallon per hour
less since 12 kph
3. Resistance and Propulsion System
4,0
5,0
6,0
7,0
8,0
Fu
el c
on
su
mp
tio
n (
gp
h)
less since 12 kph
Range
3 more days of range
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
0,0
1,0
2,0
3,0
4,0
8,00 9,00 10,00 11,00 12,00 13,00 14,00 15,00 16,00 17,00
Fu
el c
on
su
mp
tio
n (
gp
h)
Ship speed (kph)
Previous propeller Optimal propeller
Field visit and rudder geoemtry
4. Maneuverability
• Before to be a mother vessel for the soldiers, the ship was a river
tug, used for push 3 barges with cargo.
• The rudder area oversized, considering the barges lenght.
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Shape ratios. Aspect and balance
• Very low aspect ratio:
= 0.43cb /
4. Maneuverability
Lift coefficient
A1 A2
21 /AA = 0.12 < 0.265
Mínimum for CB = 0.81
• Low balance ratio
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Rudder angle, degrees
Sizing the rudderThe calculated rudder shouldn’t touch the semmi tunnel of the hull in
its maximum angle of steering (35˚), procuring the maximum height.
1. Minimum distance propeller – rudder. (0.30 m, facilitation of remove the propeller)
2. Size the rest of the distance till the mirror (last nulkhead, 0.75 m)
3. The distance of the balance ratio should be discounted (0.2 m)
4. Maneuverability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Rudder shape innovation. Schilling rudder
4. Maneuverability
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Characteristics and improvements of Schilling rudder
1. One-piece construcition. No additional maintenance
2. Important control improvement at low speed
3. CL is 1.3 times higher, which reduces tactical diameter
4. Maneuverability
3. CL is 1.3 times higher, which reduces tactical diameter
4. Maximum force at bigger stall angle (40 - 45˚)
5. High lift coeffcient going astern
6. Excellent course control (fuel save), even without dead keel
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Lift coefficient comparative curves
4. Maneuverability
Source: Schilling Rudder Monovec
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Conclusions
1. Instead of the heavy armor, the intact stability of the
RPVs is excellent. However, the heavy armor reduces
cargo capacity.
2. The optimal propeller increased efficiency and range as
well as reduced fuel consumption and cavitation.
3. The Schilling rudder increased significantly the lift and
reduced the tactical diameter since 4 to 2 lenghts.
Additionally the improvement in course control reduced
fuel consumption of the RPV.
Computational optimization of stability, propulsion and maneuverability of a riverine vessel. Lt Cdr Javier Serrano Tamayo
Gracias!
Thank you!
Computational optimization of stability, propulsion Computational optimization of stability, propulsion
and maneuverability of a riverine vessel
Lieutenant Commander Luis Javier Serrano Tamayo
Colombian Navy
University of the Andes - Naval Academy “Admiral Padilla”
COLOMBIA