COMPIT 2010 in Gubbio - TUHH

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A Framework for Scenario-Based Hydrodynamic Design Optimization of Hard Chine Planing Craft Abstract Ahmad F. Ayob, UMT, Terengganu/Malaysia, z3237562@student.adfa.edu.au Tapabrata Ray UNSW@ADFA, Canberra/Australia, t.ray@adfa.edu.au Warren F. Smith UNSW@ADFA, Canberra/Australia, w.smith@adfa.edu.au An optimization framework for the design of hard chine planing craft incorporating resistance, seakeeping and stability considerations is presented. The proposed framework consists of a surface information retrieval module, a geometry manipulation module and an optimization module backed by standard naval architectural performance estimation tools. Total resistance comprising calm water resistance and added resistance in waves is minimized subject to constraints on displacement, stability and seakeeping requirements. Three optimization algorithms are incorporated in the optimization module: Non-dominated Sorting Genetic Algorithm (NSGA-II), Evolutionary Algorithm with Spatially Distributed Surrogates (EASDS), and Infeasibility Driven Evolutionary Algorithm (IDEA). The individual performance of each algorithm is reported. The proposed framework is capable of generating the optimum hull form, which allows for a better estimate of performance compared to methods that generate only the optimum principal dimensions. The importance and effects of the vertical impact acceleration constraint on manned and unmanned missions are also discussed. Nomenclature B Beam (m) L Length (m) C v Speed coefficient LCB Longitudinal centre of buoyancy (m) Disp. Displacement (kg) R A Added resistance (N) Fn Froude number R C Calm water resistance (N) GM Metacentric height (m) R T Total resistance (N) H 1/3 Significant wave height (m) T Draft (m) I e Half angle of entrance (degrees) Vol. Displaced volume (m 3 ) I a Vertical impact acceleration (g) 1. Introduction Ship design involves the practice of satisfying requirements based on a vessel’s intended tasks and rationalization, Schneekluth and Bertram (1998). The design of a ship should meet statutory requirements, mission requirements, economic criteria, safety requirements and so on. The choices of main dimensions of the ship affect the hydrostatic and hydrodynamic performance of the ship such as its resistance and response in the seaway. Ship design optimization allows the tradeoff between various performance requirements and is an indispensable element of modern day design processes. Consideration of seakeeping performance during the phase of design has been reported in a number of recent studies. Sarioz and Narli (2005) presented an example of seakeeping assessment under various vertical acceleration regimes outlined in ISO 2631, Mason and Thomas (2007) illustrated the use Computational Fluid Dynamics (CFD) and Genetic Algorithm (GA) for the optimization of International America’s Cup Class (IACC) yachts, Peri and Campana (2003) designed a naval surface combatant with total resistance and seakeeping considerations. Other examples involving multiple design aspects i.e. resistance, seakeeping, cost and safety optimization based on specific scenarios have been presented by Smith (1992), Ray (1995), Ganesan (1999), Neti (2005) and Berseneff et al. (2009). Most of the above studies focused on displacement crafts and there are only a handful studies dealing with planing crafts. Minimization of calm water resistance for planing crafts appears in Almeter (1995) and Mohamad Ayob et al. (2009). Presented in this paper is a scenario based hydrodynamic 7
Page 1 and 2: 9 th International Conference on Co
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Page 5: Frank Borasch 166 A Digital Plannin
Page 9 and 10: Fig. 2: Detail flowchart on the opt
Page 11 and 12: to be able to solve a wide range of
Page 13 and 14: acceleration. Similar results were
Page 15 and 16: 3.4. Scenario results Two different
Page 17 and 18: At sea-state 2 (H 1/3 = 0.8m) and s
Page 19 and 20: NEU, W. L.; HUGHES, O.; MASON, W. H
Page 21 and 22: 3. The software selection process T
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Page 27 and 28: 1. Pre-processing: Pre-processing r
Page 29 and 30: www.ssi.tu-harburg.de/doc/webseiten
Page 31 and 32: propulsor should be higher than tha
Page 33 and 34: The FRIENDSHIP Framework software d
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Though a holistic approach to the s
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2.5 Global Criterion Optima Enginee
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sections in order to obtain compati
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Max solution has been obtained for
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Abstract Operator Decision Modeling
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Rule 6: With the MOAS sonar (Mine a
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4.2. Definition: Extension The use
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We obtain two extensions, which are
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- We define the defaults D: ¬ dete
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7. Conclusion. The default logic al
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partitioned into two sets as follow
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3. Two-stage stochastic programming
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drops and the two-stage stochastic
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Fig. 6: Unit transportation cost as
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Fig. 10: Unit transportation cost a
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Acknowledgements This work has been
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Loan model: loan = 0.8 ship cost ra
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The effect of analyses with uncerta
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3.3. Requirements to the system Whe
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There are three design plans (1), (
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(a) (b) (c) Table III: Solutions fr
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Abstract Effects of Uncertainty in
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ε is a number with G\U(0,σ) and [
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Increasing Sigma Time Histories 1 0
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5.1. Space # 040: Galley and Sculle
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5.4. Long Term Study of Optimizatio
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RUN Fitness Min. ZD Avg. ZD Min. SP
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RUN Fitness Min ZD Avg ZD Min SP Av
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The Challenge in Hull Structure Bas
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early design stages. The main advan
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Profile definition is mainly based
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Fig. 7: Example of an automatically
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6.3 Other output One of the advanta
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welding and painting are additional
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To overcome these issues, a model w
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lightweight, hydrostatic data and t
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This graph yields the expected resu
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OERS, B.J. Van; STAPERSMA, D.; HOPM
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Size optimization changes only expl
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3.2. Topology Optimization for Conc
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meshed with shell elements and rema
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Trajectory Design for Autonomous Un
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drastically since it determines a l
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assumptions, the inertia matrix (in
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For each of these missions, we will
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more powerful than for the first tw
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For mission 3, using the first thru
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References BREIER, J.A.; RAUCH, C.G
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wastage from the presence of corros
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The MINOAS system integrates a set
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significant improvements over appro
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over the 3D CAD model of the area u
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through porous materials (see Stauf
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obustness and reliability in challe
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ØSTERRGAARD, E. H.; MATARIC, M. J.
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2 Tool integration DigiMAus integra
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Fig. 4 : Navisworks visualization i
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2.4 Office and other Visualization
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2.7 Control in 3D In this perspecti
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2.10 Method documentation The metho
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Clifetime Cdevelopment Csupport n :
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6. Why Lego Bricks? The three archi
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Specific own platform plug-ins are
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process moves from global design ac
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Data correctness and consistency ch
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Fig.4: System Architecture Once the
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7. Rule Based Processing Rule based
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The editor component is required on
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Geneva. ISO 215 (2004), Industrial
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2. Modern product model - Solid bas
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The built-in output formats include
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3.3. Global loads For the purposes
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Fig. 6: First eigen modes of a crud
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Abstract Rule-Based Resource Alloca
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Fig.2: User groups in the productio
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4 Rule-based approach 4.1 Rule defi
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necessity in the winter. These outd
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Fig.6: Decision tree for the space
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Abstract Combining Artificial Neura
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x log sig( x) = , (12) 1− − x e
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the simulated annealing algorithm,
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ecause the relation between speed a
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Developing of a Computer System Aid
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f γ A = f µ , (2) Fig. 2: Oceans
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calculation methods of the phenomen
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In a similar way can be expressed t
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− the relative resistance increas
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a) 1,0 P VE [-] 0,8 0,6 0,4 0,90 0,
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For the so defined service margin w
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Data Mining to Enhance the Throughp
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maneuvering time and according to w
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The author emphasize that reality i
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time intervals was not appropriate
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The Role of IT in Revitalizing Braz
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The EAS strategy is to use the Petr
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7. Speed to Proficiency In order to
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Practical Applications of Design fo
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Minimize Fabrication / Assembly Com
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Fig. 3: Example of Minor Bulkhead u
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5.2 Improved Practice Fig. 7: Accur
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many constraints on the resulting s
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Modeling Complex Vessels for Use in
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The initial position values for the
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means to get an insight into the sy
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variables. The shape of the hull is
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the free space available above the
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noise or vibration, separation of h
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Furthermore the approach to the imp
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Optimization-Based Approach to Rati
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• Refine or ‘fine-tune’ exist
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elative positions between objects.
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New objective scores for the design
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5.3 Baseline Design Selection Fig.4
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distance in the max-min problem. If
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Improvement of Interoperability bet
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HATLAPA models (Fig.3) are more com
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10. Support by VSM and VDMA (associ
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(DBB) approach, are restricted by t
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3.1.1. A process for employing the
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(a) (b) (c) (d) Fig.3: Option Explo
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Fig.7: Max. length vs. total displa
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Fig.9: Number of Combined Float-Mov
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ather than the normal approach in w
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ANDREWS, D.J., PAPANIKOLAOU, A; ERI
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2. Aspects of Production Simulation
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4.1 Data structure As the goal of t
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and used engineering tools showed d
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Utilization of Integrated Design an
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The right side in Fig. 2 illustrate
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Fig. 6: Initial design of hopper an
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In most cases, it is desired to app
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Interactive Hull Form Transformatio
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3. Modern Hull Form Representation
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introducing a knuckle, Fig. 3. Rule
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P 0 P i P’ 0 ) P’ i P′= P + i
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1. The initial selected vertices ar
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In other cases, it may be necessary
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face must be extended to introduce
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Fig 13: A prototype of the intended
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Abstract Aerodynamic Optimization o
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commonly used in wind tunnel tests,
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Schmode (2002) applied a RNG k-ε m
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Table II presents the properties of
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Fig.10: Comparison of exhaust conce
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5.2. Selected results In order to o
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of a zoomed in region, namely a meg
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performance. The derivation of the
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each agent can always apply rule #1
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With four vehicles the area that ca
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References AKYILDIZ, I.F.; POMPILI,
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However, there is no global optimum
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are adjusted. The calculations are
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Fig. 3: Deep water trim curve for m
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consumption is analysed over relati
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3.2 Benefits for crew and ship mana
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A 3D Packing Approach for the Early
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of these changes. Subsequently, Sec
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• Soft object. Soft objects also
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such that the overlapping part is r
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• Connection object. Connection o
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main difference is that the topside
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Two objectives were maximised: pack
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ASMARA, A.; NIENHUIS,U. (2006), Aut
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Fig.1: General arrangement of the t
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Group Steady-state modeling Group A
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Fig.7: Architecture of Cascade-forw
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2.2.1. Calculation of steady state
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Fig.15: Scatter plot of model outpu
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Because of the usage of steady stat
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Nomenclature c coefficient & fit-fa
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Fig.1: Petroglyph of, possibly, a c
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The lack of a graphical user interf
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3.3. CAD supported logical modellin
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often used in the ship industry, bu
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7.2. Logical components Logical com
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So, input facilities are an integra
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A Decision Support Framework for th
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Some measures will change the fuel
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The re-active technical abatements
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adding water into the chamber. The
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selection of air emission controls
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I = I ∩ I ∩ I and I ⊂ I VOA V
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The objective function in an optimi
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MALLACH, E.G. (1994), Understanding
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etween Kristiansand in Norway and H
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validation dataset. In a recent ser
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(a) (b) Fig. 6: IR corridor test (a
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Fig.9: Number of passengers in each
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4. Conclusions Two passenger ship a
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positive effects on the energy effi
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higher fuel saving potentials and a
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For vessels with azimuthing pods in
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4. Use Case Examples The methodolog
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4.5. Losses and Load Distribution T
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Fig. 7: Mission tab The software pr
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The methodology thus places itself
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Development of a Methodology for Ca
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2.2 Process Driver Fig. 1: Processe
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Fig. 4 illustrates the product info
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Reconstruct calculation An addition
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References BENTIN, M.; SMIDT, F.; P
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While the path for the integration
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ultimately, zero in on the best des
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Below, the subject of collaboration
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1 P opt (C*) C opt (P*) 0 C* 0 1 Fi
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Most importantly: design constraint
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include, for example 5 : z 1 1 = 1/
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Z 1 , which is in this figure is sh
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It can be concluded that the goal o
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Behavior Models can be built from t
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GOUGOULIDIS, G. (2008), The Utiliza
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This procedure can be regarded as a
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corrosion, coating, deformation, cr
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detect an indication of a crack? Wh
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Product Data Management is a concep
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Project Part Instances is a relatio
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The starting point of the developme
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Abstract Requirements of a Common D
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Requirements management or system e
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However the industry has still not
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When design offices begin creating
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Fig. 5: Ship documentation as manag
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Although engineering objects are th
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Fig. 8: Example of UUID as implemen
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Abdel-Maksoud 28 Abramowski 213,221
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COMPIT 2010 in Gubbio - TUHH

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