Brazil 2014ugm Integration of Aqwa With Friendship in Psv Vessel Design

8/10/2019 Brazil 2014ugm Integration of Aqwa With Friendship in Psv Vessel Design

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A procedure to integration of AQWA with FriendS

for the application of optimization techniques in

design of PSV vessels

Miguel Altimari Peli

Tancredi Pontin Tancredi

Laboratrio de Otimizao e Projeto Integrado

Escola Politcnica da Universidade de So Paulo, So Paulo, Brazil


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1. The motivation and the problem

2. The objective of the work

FINEP support for the development of:

National packet for design and equipment for PSV to oil production

Pacote nacional de projeto e maquinrio de embarcaes de apo

produo de petrleo no mar

(UFRJ, USP, IPT)

Introduction and context


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Investment plan of Petrobras: 2011 - 2015

New units

Item

2015

2020

Perfuration units (drillships and semi-sub) 22 50

Production units (FPSO and Semi-sub) 17 50

PSV 192 281

Santos Basin

Farther from coast: 250 to 350 km;

Ocean conditions worst than Campos basin;

Currents with more intensity: 3 to 4 knots;

Bad seakeeping of small ships;

Limitation of draught at Ports of 6 m.

Motivation: opportunity to inovation


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Traditional design approach

Result in a feasible solution

There is no guaranties that the solution is the best

Depends of the experience of engineers

It is not a efficient approach to compare different

design solutions


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The objective of the work

Solve the conceptual design problem of engineering as a

multi-objective optimization problem

Development of a synthesis model to quick evaluation of the

main characteristics in preliminary/conceptual stage of the ship

design


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The objective of the work

In theory, the optimization process with a high fidelity model that simultaneous

all hulls variables (higher hierarchical level) should find an optimal solution, resistance.

However, in practice, this does not occur, either by the inability to properly explo

set of variables, or by the time required for the analysis or by the difficulty of

optimization algorithm to convergeto a global optimum.

Methodology based in hierarch

response surface with differe

techniques for optimized de


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Paramet

(F

R

(Shi

Few itera

Modern approach: simulations in desig

S

Seakee

RESPONSE SURFACE

(Neural Network)Design with optimization

(modeFrontier)

Many interations

(evaluations)


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Initial numerical

simulations

Neural response surface

training

OptimizationOptimized soluti

Num

N

Re-training of the neur

surface

Optimization

Convergence

reached

Iterative approach of optimization


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Hull surface described by 3

curves:

1. Keel curve2. Sectional area curve

3. Deck curve

Sectional area curve parameterization:

1. Integration = Displacement

2. Integration/Max area = Cb

3. Center of Area = LCB

Parametric hull model of PSV: FriendSh


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Parametric hull model of PSV: FriendSh


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0

100

200

300

400

500

600

700

800

0.15 0.2 0.2

Rt(kN)

P1 P2 P3 P4

0

100

200

300

400

500

600

700

800

0.15 0.20 0

Rt(kN)

B1 B2

Simulation of Resistance: ShipFlow + C


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Simulation of Seakeeping: AQWA


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1) Maximize displacement (payload)

2) Minimize seakeeping (Acceleration in crane v = 0 knots)3) Minimize seakeeping (Acceleration in accomodation v = 15 knots)

4) Minimize resistance (v = 15 knots)

All usual constraints associated with ship design

Optimization model: Optimization in DE


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Optimization model: modeFrontier


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Results

Displacement (t)

Resistance(N)


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Results

Displacement (t)

Accele

rationinthecrane(m/s)


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Results

Displacement (t)

Accelerationinaccommodation(m/s)

V = 15 knots


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Conclusion: Examples of optimum solu

Displacement (t)

Displacement (t) Displacement (t)

Displacement (t)


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Thank you! Questions?

A special thanks to our students ofgraduation and PhD in our

Laboratory!

Thanks to the FINEPto support this work

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Brazil 2014ugm Integration of Aqwa With Friendship in Psv Vessel Design