Design of a river-sea ship by optimization

Cinquini, Carlo; Venini, Paolo; Nascimbene, Roberto; Tiano, A.

doi:10.1007/s001580100141

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…In the area of hull form design, the main types of optimisation algorithms are gradient based, deterministic methods, heuristic methods and evolutionary methods. Gradient based methods such as Adjoint equations, Gauss Newton method [11], steepest descent, conjugate gradient [12] and Sequential Quadratic Programming (SQP) [13] have been applied to optimise the hull form of tankers, catamarans and container ship for improved efficiency [14][15][16][17].…”

Section: B Optimisationmentioning

confidence: 99%

Key challenges and opportunities in hull form design optimisation for marine and offshore applications

Ang¹,

Goh

2015

2015 21st International Conference on Automation and Computing (ICAC)

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Abstract-New environmental regulations and volatile fuel prices have resulted in an ever-increasing need for reduction in carbon emission and fuel consumption. Designs of marine and offshore vessels are more demanding with complex operating requirements and oil and gas exploration venturing into deeper waters and hasher environments. Combinations of these factors have led to the need to optimise the design of the hull for the marine and offshore industry. The contribution of this paper is threefold. Firstly, the paper provides a comprehensive review of the state-ofthe-art techniques in hull form design. Specifically, it analyses geometry modelling, shape transformation, optimisation and performance evaluation. Strengths and weaknesses of existing solutions are also discussed. Secondly, key challenges of hull form optimisation specific to the design of marine and offshore vessels are identified and analysed. Thirdly, future trends in performing hull form design optimisation are investigated and possible solutions proposed. A case study on the design optimisation of bulbous bow for passenger ferry vessel to reduce wavemaking resistance is presented using NAPA software. Lastly, main issues and challenges are discussed to stimulate further ideas on future developments in this area, including the use of parallel computing and machine intelligence. Keywords-Simulation-based hull form design optimisation; geometry modeling; shape transformation; performance evaluation; computational fluid dynamic (CFD)

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Section: B Optimisationmentioning

confidence: 99%

Key challenges and opportunities in hull form design optimisation for marine and offshore applications

Ang¹,

Goh

2015

2015 21st International Conference on Automation and Computing (ICAC)

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“…Many researchers have studied the design and optimization of river-sea ship [1,[3][4][5][6][7], the function model [8,9] and the characteristics and strength analysis [10][11][12][13][14] of RSDT. Cinquini et al [4] addressed the shape optimization problem of an innovative river-sea ship designed to achieve an improved dynamic behavior in both river and sea navigation conditions. Wu et al [11] investigated the ultimate strength of a river-sea ship under combined action of bending and torsion by the means of numerical and experimental research.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Step Approach Framework for Freight Forecasting of River-Sea Direct Transport without Direct Historical Data

Guo

You-kai

et al. 2019

Sustainability

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The freight forecasting of river-sea direct transport (RSDT) is crucial for the policy making of river-sea transportation facilities and the decision-making of relevant port and shipping companies. This paper develops a multi-step approach framework for freight volume forecasting of RSDT in the case that direct historical data are not available. First, we collect publicly available shipping data, including ship traffic flow, speed limit of each navigation channel, free-flow running time, channel length, channel capacity, etc. The origin–destination (O–D) matrix estimation method is then used to obtain the matrix of historical freight volumes among all O–D pairs based on these data. Next, the future total freight volumes among these O–D pairs are forecasted by using the gray prediction model, and the sharing rate of RSDT is estimated by using the logit model. The freight volume of RSDT is thus determined. The effectiveness of the proposed approach is validated by forecasting the RSDT freight volume on a shipping route of China.

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“…All the aforementioned authors treated similar subjects; some of them used the same Euler-Lagrange optimization criterion, via FEM or other procedures, as in the model of Sippel and Warner [1], Kanno and Ohsaki [7], Sedaghati et al [8], Cinquini et al [21], and Abolbashari [22], following the same optimization operations. However, none of them used the herein developed procedure, which has been employed for the first time for application to optimization of spacecraft truss appendage structures.…”

mentioning

confidence: 98%

Procedure for Optimization of Truss Space Structures with Fixed Minimum Vibration Frequency

Tizzi

2009

Journal of Spacecraft and Rockets

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This paper deals with the problem of a cantilever truss space structure optimization under a frequency constraint. The considered structure, with an attached rigid body at the external free end, is typical of satellite appendages. The same value of the lowest vibration frequency of the reference truss structure, with uniform thickness over all the component beams, has been prescribed to prevent possible resonances between satellite and appendages. A minimum value of the thickness over each component beam of the analyzed truss has been established a priori. Focusing attention on the dynamic behavior, a numerical procedure (based on the classical Rayleigh-Ritz method but combined with the finite element method) has been used. Polynomial power series expansions have been used both for the dynamic variables (displacements and rotations) and for the thickness axial distribution over each component beam of the truss structure. The classical Euler-Lagrange optimality criterion has been used to find the requested solution of each optimization operation, which consists of the search for stationary conditions of the Lagrangian functional. A series of repeated optimization operations have been performed to arrive at the thickness optimized profile within each structural component, with the preestablished minimum value of the beams' thickness. It has also been possible to evaluate the weight reduction. Nomenclature g n i a i b i c = global describing functions coefficients of the generic variable S n I b = identification number of the generic beam i bay = identification number of a generic bay k ij , k ij;i et = stiffness matrix elements and stiffness matrix elements components L I b = nondimensional length of a generic beam L t = sum of the dimensionless lengths of the component beams considered for the optimization operations L 0 = reference length l I b n ie = local describing functions coefficients of the generic variable S n in the I b th beam l 1 , l 1 , l 2 = longitudinal lines containing aligned beams m ij , m ij;i et = mass matrix elements and mass matrix elements components N = whole number of unknown variables N a , N b , N c = number of dynamic variables global describing functions along the axes X, Y, and Z, respectively N bays = number of the truss structure component bays N beams = number of truss structure component beams considered for the dynamic analysis N el = number of local describing functions of the dynamic variables in each beam N et = number of coefficients of all the beams thickness series expansions N opt = number of all the beams considered in optimization process N qt = number of coefficients and describing functions of all the independent dynamic variables series expansions N t = number of coefficients and describing functions of the nondimensional thickness series expansion in each beam q i , q j = generic Lagrangian degrees of freedom R I b ij= rotation matrix element connecting the axis X i with the axis X lj in the I b th beam S n = generic independent variable T = dimensionless relative co...

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Design of a river-sea ship by optimization

Cited by 8 publications

References 3 publications

Key challenges and opportunities in hull form design optimisation for marine and offshore applications

Key challenges and opportunities in hull form design optimisation for marine and offshore applications

A Multi-Step Approach Framework for Freight Forecasting of River-Sea Direct Transport without Direct Historical Data

Procedure for Optimization of Truss Space Structures with Fixed Minimum Vibration Frequency

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