Scenario-based hydrodynamic design optimization of high speed planing craft for coastal surveillance

Ayob, Ahmad Faisal Mohamad; Ray, Tapabrata; Smith, Warren

doi:10.1109/cec.2011.5949640

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Co-design of vessel geometry and ACS requires effective tools to facilitate optimization, particularly the models that capture the sensitivity of key planing boat performance with respect to both geometry and ACS parameters. Recent research in the hydrodynamic optimization of a planing craft (Ayob et al, 2010(Ayob et al, , 2009Smith et al, 2012) estimated the seaway drag and seakeeping performance by using empirical equations (Savitsky and Brown, 1976;Savitsky and J. G. Koelbel, 1993). As previously mentioned, the model tests used (Fridsma, 1971)…”

Section: Traditional Planing Craft Design and The Motivation For Co-mentioning

confidence: 99%

First Step Towards the Co-Design of Planing Craft and Active Control Systems

Castro-Feliciano

Sun

Troesch

2015

Volume 11: Prof. Robert F. Beck Honoring Symposium on Marine Hydrodynamics

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This paper takes a novel approach to the design of planing craft with active control systems (ACS) by co-designing the longitudinal center of gravity (lcg) and ACS, and compares its performance with a vessel where the lcg and ACS are designed sequentially (traditional approach). The vessels investigated are prismatic in shape. The ACS are modeled as forces on the vessel. The ACS controller is a Linear Quadratic Regulator designed using a reduced order model of the vessel. In the design, only the calm water drag is optimized. The simulated co-designed vessel had 10% lower calm water and mean seaway drag than the sequentially designed vessel. However, the co-designed vessel’s seakeeping was poorer — vertical acceleration doses 25% higher. Results indicate that the traditional sequential design approach does not fully exploit the synergy between a planing craft and its ACS; as a first step, the stability constraints should be relaxed in the design exploration.

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Section: Traditional Planing Craft Design and The Motivation For Co-mentioning

confidence: 99%

First Step Towards the Co-Design of Planing Craft and Active Control Systems

Castro-Feliciano

Sun

Troesch

2015

Volume 11: Prof. Robert F. Beck Honoring Symposium on Marine Hydrodynamics

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“…A planing craft design optimization framework (Mohamad Ayob et al 2010) is used in this study. The framework incorporates a surface information retrieval module, an optimizer module and several accepted naval architectural estimation methods.…”

Section: High-speed Planing Craft Optimization Frameworkmentioning

confidence: 99%

“…The optimization framework is built upon the Microsoft Component Object Model (COM © ) framework that allows for expansion of modules if necessary. The complete details of the framework are reported in Mohamad Ayob et al (2010). While the framework is able to consider various hydrostatics and hydrodynamic characteristics simultaneously, only hydrostatics and calm-water resistance are considered in this article to illustrate the application of the discovery principle which has been elaborated in Section 1.…”

Section: High-speed Planing Craft Optimization Frameworkmentioning

confidence: 99%

Uncovering secrets behind low-resistance planing craft hull forms through optimization

Ayob

Ray

Smith

2011

Engineering Optimization

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There has always been significant interest within the naval architectural research community to identify ship hull forms with low resistance. While numerous design optimization frameworks have been proposed over the years to support the activity, very little attention has been paid towards the process of gaining an understanding of 'what makes a good ship design superior?'. Furthermore, there have been limited attempts to identify computationally cheap indicators that can be used to distinguish between good and poor designs. A recent technique named discovery of innovative design principles, which is aimed at understanding the relationship between the design variables, is incorporated in this work. In this article, optimal high-speed planing craft hull forms with minimum calm-water resistance are identified through the use of three state-of-the-art optimization algorithms. Collections of such designs are then used to uncover insights into the underlying relationships between the variables. The importance of such relationships is further analysed to identify computationally cheap performance indicators that can be used in lieu of detailed calm-water resistance calculations. Such indicators are useful at the concept and preliminary design stages, where one needs to sieve efficiently through a number of candidate designs to identify the better ones for further analysis.

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Ship Lines Modeling Theory of High-Speed Ship Based on the Partial Differential Equations

Qi²,

Shi³

et al. 2012

AMR

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Based on the analysis of molded line geometrical characteristic and boundary conditions of high-speed frigate’s hull by using differential geometry, we report a curve modeling principle to express the hull line geometry through differential geometry application. The starting point of this molded-line automatic generation method is using the planar curve to express 3D surface shape. The first problem to be solved is how to get shape functions which describe every design ship curves via the the hull type curves geometry. The second problem to be solved is how the two-dimensional function, which describe ship lines, transformed to the hull shape function designed of three-dimensional hull surface, namely “mathematic ship”.

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Scenario-based hydrodynamic design optimization of high speed planing craft for coastal surveillance

Cited by 3 publications

References 10 publications

First Step Towards the Co-Design of Planing Craft and Active Control Systems

First Step Towards the Co-Design of Planing Craft and Active Control Systems

Uncovering secrets behind low-resistance planing craft hull forms through optimization

Ship Lines Modeling Theory of High-Speed Ship Based on the Partial Differential Equations

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