Optimisation of ship structures

[en] Limiting CO2 emissions is a great challenge being faced by society today. Society, through the United Nations Framework Convention on Climate Change (UNFCCC), and actors like the EU, is applying pressure on all industries, including the shipping industry, to reduce CO2 emissions. This paper presents a way to decrease the GHG emissions by ship scantling optimisation, i.e. decreasing steel weight and keeping the production cost at an acceptable level. The authors first review the links between “Design” and “Optimization” and secondly define the place of “Ship Structure Optimization” within the general framework of a “Ship Optimization”. Then, the LBR-5 ship structure optimisation software is presented. It is based on a convex lin-earization coupled with a dual approach and is based on a rational assessment of the ship structures behaviour. Few applications of structures optimization are then presented.

Disciplines :

Civil engineering
Computer science
Mechanical engineering

Author, co-author :

Rigo, Philippe ; Université de Liège - ULiège > Département ArGEnCo > Constructions hydrauliques et navales

Caprace, Jean-David ; Université de Liège - ULiège > Département ArGEnCo > Constructions hydrauliques et navales

Language :

English

Title :

Optimisation of ship structures

Alternative titles :

[fr] Optimisation des navires

Publication date :

May 2011

Event name :

1st International Conference of Maritime Technology and Engineering, MARTECH 2011;

Event organizer :

MARTECH 2011

Event place :

Lisbon, Portugal

Event date :

Mai 2011

Audience :

International

Main work title :

Marine Technology and Engineering

Editor :

Guedes Soares, Carlos

Garbatov, Y.

Fonseca, N.

Teixeira, A.P.

Publisher :

Taylor & Francis Ltd, London, United Kingdom

ISBN/EAN :

978-0-415-69808-5

Pages :

925-944

Peer reviewed :

Peer reviewed

Available on ORBi :

since 02 July 2012

Statistics

Number of views

441 (24 by ULiège)

Number of downloads

1177 (10 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

Bibliography

Birk, L. & Harries, S. 2003. OPTIMISTIC-Optimization in Marine Design, Publ: Mensch & Buch Verlag, Berlin, p. 258.
Caprace, J.D. 2010, Cost Effectiveness and Complexity Assessment in Ship Design within Concurrent Engineering and Design for X f ramework. PhD thesis. University of Liège.
Caprace, J.D., Bair, F., Losseau, N., Warnotte, R. & Rigo, P. 2008. OptiView-A Powerful and Flexible Decision Tool Optimising Space Allocation in Shipyard Workshops. COMPIT' 08, pp. 48-59.
Cho, K.-N., Arai, M., Basu, R., Besse, P., Birmingham, R., Bohlmann, B., Boonstra, H., Chen, Y.-Q., Hampshire, J., Hung, C.-F., Leira, B., Moore, W., Yegorov, G. & Zanic, V. 2006. ISSC06 Committee IV.1, in: Design Principles and Criteria, Vol. 1, 2006, pp. 521-599.
Coello, C., Lamont, G.B. & Veldhuizen, D.A. 2007. Evolutionary Algorithms for Solving Multi-objective Problems. Springer.
Cui, H., Olcer, A. & Turan, O. 2008, An Improved Particle Swarm Optimization (PSO) Approach in a Multi Criteria Decision Making Environment, 7th Int. Conf. COMPIT'2008, Liege, Belgium, pp. 422-436 (ISBN-10-2-9600785-0-0).
Deb, K., Agrawal, S., Pratab, A. & Meyarivan, T. 2000. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. KanGAL Report 200001, Indian Institute of Technology, Kanpur, India.
Deb, K. 2001. Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons.
Ehlers, S., Klanac, A. et al., 2009, The IMPROVED Chemical Tanker, IMPROVE Workshop (EU Project FP6 no.031382), Dubrovnik 17-18 Sept. 2009, Croatia, pp. 123-131, www.anast-eu.ulg.ac.be
Eide, M., Endresen, O. & Longva, T. Future CO2 Emissions: Outlook and Challenges for the Shipping Industry. IMDC 2009;2: 1066-1078.
European, C., Presidency Conclusions. Tech. Rep.; Brussels European Council; 2007. 7224/07.
Evans, J. & Khoushy, D. 1963. Optimized Design of Midship Section Structure, Trans. SNAME, No. 71, pp. 144-191.
Eyres, D.J. 2001. Ship Construction. Butterworth and Heinemann.
Fleury, C. & Braibant, V. 1986. Structural Optimization: a New Dual Method using Mixed Variables, Int J Numer Methods Eng., No. 23, Vol. 409, p. 28.
Harlander, L. 1960. Optimum Plate-Stiffener Arrangement for Various Types of Loading, J. Ship Research No. 20, Vol. 4, pp. 49-65, SNAME.
Hughes, E.J. 2005. Evolutionary Many-objective Optimization: Many Once or One Many? In: Proc. of 2005 Congress on evolutionary Computation, 222-227.
Hughes, O. 1988. Ship Structural Design: A Rationally-Based, Computer-Aided Optimization Approach, p. 566.
Hughes, O., Mistree, F. & Zanic, V. 1980. A Practical Method for the Rational Design of Ship Structures, J. ship research, No. 24, Vol. 2, pp. 101-113.
Hutchinson, K. et al. 1998. Multiple Criteria Optimization and Selection of High Speed Roll-On/Roll-Off Ferries at the Concept Design Stage. In: Int. Conference on Fast Freight Transportation by Sea/RINA; 13: 1-45.
IMO. Emissions from fuel used for international aviation and maritime transport. Tech. Rep.; International Maritime Organization (IMO); Bonn, Germany; 2008. FCCC/SBSTA/2008/MISC.9, 28th session.
IMO, Updated Study on Greenhouse Gas Emissions from Ships: Phase I Report. Tech. Rep.; International Maritime Organization (IMO); London, UK; 2008
IPCC. IPCC Fourth assessment report: Synthesis Report, Emissions of long-lived GHGs. Tech. Rep.; IPCC; 2007.
Khajehpour, S. & Grierson, D. 2003. Profitability versus safety of highrise office buildings, Structural Multidisciplinary Optimization, No. 25, pp. 279-293.
Klanac, A. & Kujala, P. 2004. Optimal Design of Steel Sandwich Panel Applications in Ships, PRADS, p. 11.
Longva, T., Eide, M. & Nyhus, E. Achieving Emission Reductions: Analysing Cost and Consequences towards 2020. SNAME Greek Section 2008;Athens, Greece
Nowacki, H., Brusis, F. & Swift, P. 1970. Tanker Preliminary design-An Optimization Problem with Constraints, Trans. SNAME, No. 78, pp. 357-390.
Okada, T. & Neki, I. 1992. Utilization of Genetic Algorithm for Optimizing the Design of Ship Hull Structure. J.S.N.A., Japan; 171: 71-83.
Osyczka, A. 2002. Evolutionary Algorithms for Single and Multicriteria Design Optimization. Heidelberg: Physica-Verlag.
Parsons, M.G. & Scott, R.L. 2004. Formulation of Multicriterion Design Optimization Problems for Solution with Scalar Numerical Optimization Methods, J. Ship Research 48/1, pp. 61-76.
Purshouse, R.C. & Fleming, P.J. 2003. Evolutionary Many-Objective Optimization: An Exploratory Analysis. In: Proc. of 2003 Congress on Evolutionary Computation, 2066-2073.
Remes, H., Liigsoo, M., Amrane, A., Chirica, I., Giuglea, V. & Giuglea, S. 2009. Rational models to assess fatigue at the early design stage, EU FP6 project IMPROVE-Final Conference 1 pp. 51-52, Dubrovnik, Croatia.
Rigo, P. 2001. A Module-Oriented Tool for Optimum Design of Stiffened Structures-Part I, Marine Structures No. 14, pp. 611-629.
Rigo, P. 2003. An Integrated Software for Scantling Optimization and Least Production Cost, Ship Technology Research, Schiffahrts-Verslag "Hansa", vol.50, 2003, pp. 126-141.
Rigo, P. 2001. Least Cost Structural Optimization Oriented Preliminary Design, J. Ship Production 17.
Rigo, P. & Fleury, C. 2001. Scantling optimization based on convex linearizations and a dual approach-Part II, Marine structure, Vol. 6, pp. 31-49.
Rigo, P.h. Bair, F., Caprace, J., Desmidts, D., Amrane, A., Constantinescu, A., Warnotte, Hage, Pircalabu, & Lapy M. 2009. Tools for early design stage: presentation of LBR-5 Software, IMPROVE Workshop (EU Project FP6 no.031382), Dubrovnik 17-18 Sept. 2009, Croatia, 71-73, www.anast-eu.ulg.ac.be
RINA, 2009. Move to IMPROVE LNG Carrier Design, The Naval Architect, May 2009.
Ross, J. & Hazen, G. 2002. Forging a Real-Time Link Between Initial Ship Design and Estimated Costs. ICCAS 2002. pp. 75-88.
Sekulski, Z. 2009, Least-weight topology and size optimization of high speed vehicle-passenger catamaran structure by genetic algorithm. Marine Structures 2009; 22(4): 691-711.
Seo, S., Son, K. & Park, M. 2003. Optimum Structural Design of Naval Vessels, Marine Technology, No. 40, Vol. 3, pp. 149-157.
Toderan, C., Pircalabu, E., Caprace, J. & Rigo, P. (2007) Integration of a Bottom-Up Production Cost Model in LBR-5 Optimization Tool, COMPIT'07, pp. 225-233.
Turan, O., Ler, A., Lazakis, I., Rigo, P. & Caprace, J. (2009) Maintenance/ Repair and Production Oriented Life-Cycle Cost/Earning Model for Ship Structural Optimization during Conceptual Design Stage, Ships and Offshore Structures, Vol. 10, pp. 1-19.
Walker, G. & King, D. The hot topic: How to tackle global warming and still keep the lights on. London, U.K.: Bloomsbury Publishing; 2008. ISBN 9780747593959.
Xuebin, L. 2009. Multiobjective Optimization and Multi-attribute Decision Making Study of Ship's Principal Parameters in Conceptual Design, J. Ship Research, Vol. 53, No. 2, pp. 83-92.
Zanic, V., Andric, J. & Frank, D. 2003. Structural Optimization Method for the Concept Design of Ship Structures, Proceedings of the 8th International Marine Design Conference, Vol. 2; Athens, pp. 205-218.
Zanic, V., Andric, J. & Prebeg, P. 2005. Superstructure Deck Effectiveness of the Generic Ship Types-a Concept Design Methodology, IMAM, pp. 579-588.
Zanic, V., Andric, J. et al., 2009, ROPAX Structural design Aspect, IMPROVE Workshop (EU Project FP6 no.031382), Dubrovnik 17-18 Sept. 2009, Croatia, pp. 107-114, www.anast-eu.ulg.ac.be
Zitzler, E., Laumanns, M. & Thiele, L. 2001. SPEA-2: Improving the Strength Pareto Evolutionary Algorithm. Evolutionary Methods for Design. In: Optimization and Control with Applications to Industrial Problems, Greece; 95-100.

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