Use of hybrid approach in facilitation of design of ship hydrostatic parameters under uncertainty

Nwaoha, Thaddeus C.; Idubor, Fabian I.

doi:10.30464/jmee.2019.3.1.31

Artykuł - szczegóły

Tytuł artykułu

Use of hybrid approach in facilitation of design of ship hydrostatic parameters under uncertainty

Autorzy

Nwaoha Thaddeus C. , Idubor Fabian I.

Treść / Zawartość

Pełne teksty:

Pobierz

Identyfikatory

DOI

10.30464/jmee.2019.3.1.31

Warianty tytułu

Języki publikacji

Abstrakty

Hydrostatic parameters of a ship are very important in ship design. The importance of the parameters compared to one another need to be revealed in realm of uncertainty, so as to avoid design error. In view of this, a fuzzy-analytical hierarchical process (Fuzzy-AHP) method is utilized in addressing the subject under investigation. The fuzzy logic is used to address uncertainty in pairwise comparison exercise, so as to facilitate the estimation of order of importance of hydrostatic parameters. In this research, the engineering judgements of three designers in analysis of importance of hydrostatic parameters are aggregated and processed using the Fuzzy-AHP methodology. The result produced in the study showed that hydrostatic parameters are importance in order of moments of inertia of vessels (MIV), mass displacement (MD), tons per centimeter immersion (TPCI), coefficients of form (CF), centers of buoyancy (CB), metacentric heights of vessels (MHV), ship waterplane area (SWA), longitudinal center of floatation (LCF), volume displacement (VD) and wetted surface area (WSA) with weight values of 0.218, 0.095, 0.078, 0.083, 0.074, 0.1, 0.46, 0.108, 0.209 and 0.028 respectively.

Słowa kluczowe

hydrostatic parameters fuzzy logic AHP ship uncertainty comparison

parametry hydrostatyczne logika rozmyta AHP statek niepewność pomiaru porównanie

Wydawca

Wydawnictwo Uczelniane Politechniki Koszalińskiej

Czasopismo

Journal of Mechanical and Energy Engineering

Rocznik

2019

Tom

Vol. 3, No 1

Strony

31--42

Opis fizyczny

Bibliogr. 53 poz., rys., tab., wykr.

Twórcy

autor

Nwaoha Thaddeus C.

nwaoha.thaddeus@fupre.edu.ng

Department of Marine Engineering, Federal University of Petroleum Resources, Delta State, Nigeria

autor

Idubor Fabian I.

Department of Marine Engineering, Federal University of Petroleum Resources, Delta State, Nigeria

Bibliografia

1. Aryanpour, M., Gorashi, M. (2011). Heave and pitch motions of a ship due to moving mass and forces. Journal of Sound and Vibration, Vol. 241, No. 2, pp. 183-195.
2. Bagahari, Hassan, G. (2014). Optimization of wigley hull form in order to ensure the objective function of the seakeeping performance. Journal of Marine Science and Application, Vol. 3, No. 7, pp. 55-71.
3. Biran, A., Pulido, R. L. (2013). Ship hydrostatics and stability. 2th Edition, Butterworth-Heinmann, London, United Kingdom.
4. Chakraborty, S. (2019). Ship Stability – Introduction to hydrostatics and stability of surface ships. https://www.marineinsight.com/naval-architecture/shipstability-introduction-hydrostatics-stability-surfaceships/ Accessed On 01/01/2019.
5. Miller, A. W., Davidson, I. C., Minton, M. S., Steves, B., Moser, C. S., Drake, L.A., Ruiz, G.M. (2018). Evaluation of wetted surface area of commercial ships as biofouling habitat flux to the united states. Biological Invasions, Vol. 20, Issue 8, pp. 1977–1990.
6. Moser, C. S., Wier, T. P., Grant, J. F., First, M. R., Tamburri, M. N., Ruiz, G. M. (2016). Quantifying the total wetted surface area of the world fleet: a first step in determining the potential extent of ships’ biofouling. Biological Invasions, Vol. 18, Issue 1, pp. 265–277.
7. Tupper, E. C. (2013). Introduction to naval architecture. 5th Edition, Butterworth- Heinmann, London, United Kingdom.
8. Ueng, S. K. (2013). Physical models for simulating ship stability and hydrostatic motions. Journal of Marine Science and Technology, Vol. 21, No. 6, pp. 674-685.
9. Liu, L., Yougang, T. (2007). Stability of ship with water on deck at random beam waves. Journal of Vibration and Control, Vol. 13, No. 3, pp. 269-270.
10. Lewis, E. V. (1988). Principles of naval architecture. volume 1, stability and strength. 2nd Edition, The Society of Naval Architecture and Marine Engineers, New Jersey, USA.
11. Wang, Y., Jung, K. A., Yeo, G.T. Chou, C. C. (2014). Selecting a cruise port of call location using the fuzzy-AHP method: a case study in East Asia. Tourism Management, Vol. 42, pp. 262-270.
12. Ying, X., Zeng, G.M., Chen, G.Q., Tang, L., Wang, K.L., Huang, D.Y. (2007). Combining AHP with GIS in synthetic evaluation of eco-environment quality - a case study of Hunan Province, China. Ecological Modelling, 209, No. 2, pp. pp. 97-109.
13. Sahin, B., Yip, T. L. (2017). Shipping technology selection for dynamic capability based on improved Gaussian fuzzy AHP model. Ocean Engineering, Vol. 136, pp. 233-242.
14. Beşikçi, E. B., Kececi, T., Arslan, O., Turan, O. (2016). An application of fuzzy-AHP to ship operational energy efficiency measures. Ocean Engineering, Vol. 121, pp. 392-402.
15. Karahalios, H., Yang, Z. L., Williams, V. Wang, J. (2011). A proposed system of hierarchical scorecards to assess the implementation of maritime regulations. Safety Science, Vol. 49, pp. 450–462.
16. Mentes, A., Helvacioglu, I. H. (2012). Fuzzy decision support system for spread mooring system selection. Expert Systems with Applications, Vol. 39, pp. 3283–3297.
17. Hsu, Y. L., Lee, C. H., Kreng, V. B. (2010). The application of fuzzy delphi method and fuzzy AHP in lubricant regenerative technology selection. Expert Systems with Applications, Vol. 37, pp. 419–425.
18. Yu, X., Guo, S., Guo, J., Huang, X. (2011). Rank B2C ecommerce websites in e-alliance based on ahp and fuzzy topsis. Expert Systems with Applications, Vol. 38, pp. 3550–3557.
19. Ung, S. T., Williams, V., Chen, H. S., Bonsall, S., Wang, J. (2006). Human error assessment and management in port operations using fuzzy AHP. Marine Technology Society Journal, Vol. 40, No. 1, pp. 73-86.
20. Kato, H. (2005). Effect of bilge keel on the rolling of ship. Journal of Society of Naval Architects, Vol. 117, No. 3, pp. 93-114.
21. Gu, J. Y. (2006). Calculation of ship rolling probability using a new path integration method. Journal of Ship Mechanics, Vol. 10, No. 6, pp. 43-52.
22. Malenica, B., Molin, S. (2009). Hydrostatic response of a barge to impulsive and nonimpulsive wave loads. Journal of Marine Science and Technology, Vol. 5, No. 3, pp. 11-23.
23. Stokoe, E. A. (2002). Reed's naval architecture for marine engineers. 2nd Edition, Thomas Reed, London.
24. Molenica, S., Senjanovic, I. (2007). Some aspects of hydrostatic issues in the design of ultra large container ship. Journal of Marine Science and Technology, Vol. 9, No. 5, pp. 211-230.
25. Kuiper, G. (1990). Preliminary design of ship lines by mathematical methods. Journal of Ship Research, Vol. 1, No. 2, pp. 30-45.
26. Derrett, D. R., Barrass, C. B. (2001). Ship stability for masters and mates. 5th Edition, Elsevier, Johannesburg, South Africa.
27. Rawson, J., Tupper, E. C. (2001). Basic ship theory, hydrostatics and strength. Butterworth-Heinemann,5th Edition, Oxford, London, United Kingdom.
28. Saaty, T. L. (1977). Scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, Vol. 15, No 3, pp. 234–281.
29. Nwaoha, T. C., Ashiedu, F. I. (2015). Engineering judgment in wheelchair design criteria: an analytical hierarchy process (AHP) approach. Journal of Sustainable Technology, Vol. 6, No. 2, pp. 32-42.
30. Hambali, A., Sapuan, S. M., Ismail, N., Nukman, Y. (2009). Application of analytical hierarchy process in the design concept selection of automotive composite bumper beam during the conceptual design stage. Scientific Research and Essay, Vol. 4, No. 4, pp. 198-211.
31. Guy, E. and Urli, B. (2006), “Port selection and multicriteria analysis: an application to the Montreal-newyork alternative. Maritime Economics and Logistics, Vol. 8, pp. 169-186.
32. Chang, Y. T., Lee, S. Y., Tongzon, J. L. (2008). Port selection factors by shipping lines: different perspectives between trunk liners and feeder service providers. Marine Policy, Vol. 32, No. 6, pp. 877-885.
33. Saaty, T. L. (1980), “The analytic hierarchy process. McGraw-Hill, New York, pp. 1–287.
34. Chan, F., Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended ahp-based approach. Omega, Vol. 35, pp. 417–431.
35. Arslan, O. (2009). Quantitative evaluation of precautions on chemical tanker operations. Process Safety and Environmental Protection, Vol. 87, pp. 113-120.
36. Lavasani, S. M. M., Yang, Z., Finlay, J., Wang, J (2011). Fuzzy risk assessment of oil and gas offshore wells. Process Safety and Environmental Protection, Vol. 89, pp. 277–294.
37. Song, D. W., Yeo, K. T. (2004). A competitive analysis of chinese container port using the analytic hierarchy process. Maritime Economics and Logistics, Vol. 6, 34-52.
38. Lirn, T. C., Thanopoulou, H. A., Beresford, A. K. C. (2003). Transhipment port selection and decision-making behaviour: analysing the taiwanese case. International Journal of Logistics-Research and Applications, Vol. 6, pp. 229-244.
39. Lirn, T. C., Thanopoulou, H. A., Beresford, A. K. C. (2004). An application of ahp on transshipment port selection: a global perspective. Maritime Economics and Logistics, Vol. 6, pp. 70-91.
40. Riahi, R., Bonsall, S., Jenkinson, I.,Wang, J. (2012). A Seafarer’s Reliability Assessment Incorporating Subjective Judgements. Journal of Engineering for Maritime Environment, Vol. 226, No. 4, pp. 313–334.
41. Dadkhah, K. M., Zahedi, F. (1993). A mathematical treatment of inconsistency in the analytic hierarchy process. Mathematical Computing Modeling, Vol. 17, No. 415, pp. 111–122.
42. Wedley, W.C. (1993). Consistency prediction for incomplete ahp matrices. Mathematical Computing Modeling, Vol. 17, No. 415, pp. 151–161.
43. Zadeh, L. A. (1965). Fuzzy Set. Information and Control, Vol. 8. pp. 338-353.
44. Sii, H. S., Ruxton, T., Wang, J. (2001). A fuzzy-logic-based approach to qualitative safety modelling for marine systems. Reliability Engineering and System Safety, Vol. 73, pp. 19–34.
45. Nwaoha, T. C., John, A., Adumene, S. (2017a). Incorporation of novel model in failure analysis of propeller operations of sea going vessels. Ships and Offshore Structures, Vol. 12, Issue 1, pp. 9-18.
46. Kanagaraj, N., Sivashanmugam, P. Paramasivam, S., (2009). A Fuzzy logic based supervisory hierarchical control scheme for real time pressure control. International Journal of Automation and Computing, Vol. 6, Issue 1, pp. 88–96.
47. John, A., Nwaoha, T. C., Kpangbala, T. M. (2017). A collaborative modelling of ship and port operations interface under uncertainty. Journal of Engineering for Maritime Environment, Vol. 231, Issue 1, pp. 165–176.
48. Nwaoha, T.C (2014). Inclusion of hybrid algorithm in optimal operations of LNG transfer arm under uncertainty. Ships and Offshore Structures, Vol. 9, Issue 5, pp. 514-524.
49. Nwaoha, T. C., Adumene, S., Thankgod, B. E. (2017b). Modelling prevention and reduction methods of ship propeller cavitation under uncertainty. Ships and Offshore Structures, Vol. 12, Issue 4, pp. 452-460.
50. Nwaoha, T.C., Ombor, G., Okwu, M. O. (2017c). A combined algorithm approach to fuel consumption rate analysis and prediction of sea-worthy diesel engine powered marine vessels. Journal of Engineering for Maritime Environment, Vol. 231, Issue 2, pp. 542–554.
51. Kwong, K.C., Bai, H., (2003). Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IIE Transactions, Vol. 35, pp. 619–626.
52. Chen, S. J., Chen, S.M., (2005). Aggregating Fuzzy Opinions in the Heterogeneous Group Decision-making Environment. Cybernetics and Systems: An International Journal, Vol. 36, pp. 309–338.
53. Sugeno, M. (1999), “Fuzzy Modelling and Control”, 1st. Edition, CRC Press, Florida, USA.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-a9e9973b-b842-4a8e-a69c-34b596b8b1fe