Introduction and context

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1 A procedure to integration of AQWA with FriendShip for the application of optimization techniques in design of PSV vessels Miguel Altimari Peli Tancredi Pontin Tancredi Laboratório de Otimização e Projeto Integrado Escola Politécnica da Universidade de São Paulo, São Paulo, Brazil

2 Introduction and context FINEP support for the development of: (UFRJ, USP, IPT) National packet for design and equipment for PSV to oil production support Pacote nacional de projeto e maquinário de embarcações de apoio marítimo à produção de petróleo no mar 1. The motivation and the problem 2. The objective of the work

3 Motivation: opportunity to inovation Investment plan of Petrobras: New units Item Santos Basin Perfuration units (drillships and semi-sub) Production units (FPSO and Semi-sub) PSV 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.

4 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

5 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

6 The objective of the work In theory, the optimization process with a high fidelity model that simultaneously considers all hull s variables (higher hierarchical level) should find an optimal solution, in terms of resistance. However, in practice, this does not occur, either by the inability to properly explore a broad set of variables, or by the time required for the analysis or by the difficulty of the optimization algorithm to converge to a global optimum. Methodology based in hierarchical models and response surface with different optimization techniques for optimized design of ships

7 Modern approach: simulations in design Parametric model of hull (FriendShip) Design with optimization (modefrontier) RESPONSE SURFACE (Neural Network) Many interations (evaluations) Resistance (ShipFlow + CFX) Seakeeping (AQWA) Seakeeping with speed (AQWA) Few iterations (evaluations)

8 Iterative approach of optimization Optimization Optimized solutions Neural response surface training Numerical simulations of the optimized solutions Convergence reached Initial numerical simulations Neural response surface verification Optimization Re-training of the neural response surface

9 Parametric hull model of PSV: FriendShip Hull surface described by 3 curves: 1. Keel curve 2. Sectional area curve 3. Deck curve Sectional area curve parameterization: 1. Integration = Displacement 2. Integration/Max area = Cb 3. Center of Area = LCB

10 Parametric hull model of PSV: FriendShip

11 Rt (kn) Rt (kn) Simulation of Resistance: ShipFlow + CFX 800 Resistência total em função do número de Froude: Embarcação P1 P2 P3 P4 P7 P6 Série Holtrop Resistência total em função do número de Froude Simulação Computacional Fn Fn B1 B2 B3 B4 B5

12 Simulation of Seakeeping: AQWA V = 15 knots V = 0 knots

13 Optimization model: Optimization in DESIGN 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

14 Optimization model: modefrontier

15 Resistance (N) Results Displacement (t)

16 Acceleration in the crane (m/s²) Results Displacement (t)

17 Acceleration in accommodation (m/s²) Results V = 15 knots Displacement (t)

18 Conclusion: Examples of optimum solutions Displacement (t) Displacement (t) Displacement (t) Displacement (t)

19 Conclusion: Examples of optimum solutions

20 Thank you! Questions? A special thanks to our students of graduation and PhD in our Laboratory! Thanks to the FINEP to support this work

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