Abstract
The statistical model of 3-parameter Weibull distribution that has been applied for the industrial sloshing model tests is studied and verified. An experimental database of the 6-DoF irregular sloshing model tests in Seoul National University has been mined for the verification. In the present study, more than 12,500 h of sloshing model tests have been considered. The considered model tests have been carried out for various floating units supported by Korean shipbuilding industries. Many different environmental conditions, cargo hold geometries, and operational conditions have been considered. Membrane type cargo holds have been the most tested, and the database regarding all the tests has been created to provide useful information about the statistical model. First, the shapes of the statistical model that can be obtained from the industrial sloshing model tests are presented, Second, goodness-of-fitness of the statistical model is examined for the tail parts of the estimation as well as the overall samples. Last, how the statistical model is conservative is investigated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
BP: Statistical Review of World Energy. 67th edition Contents is one of the most widely respected (2018)
Kuo, J.F., Campbell, R.B., Ding, Z., Hoie, S.M., Rinehart, A.J., Sandström, R.E.: LNG tank sloshing assessment methodology-the new generation. Int. J. Offshore Polar Eng. 19, 241–253 (2009)
Malenica, S., Diebold, L., Kwon, S.H., Cho, D.S.: Sloshing assessment of the LNG floating units with membrane type containment system where we are? Mar. Struct. 56, 99–116 (2017)
ABS: Guidance Notes on Strength Assessment of Membrane-Type Lng Containment Systems Under Sloshing Loads (2009)
BV: Strength Assessment of LNG Membrane Tanks under Sloshing Loads (2011)
BV: Design Sloshing Loads for LNG Membrane Tanks (2011)
DNV-GL: Strength Analysis of Liquefied Gas Carriers with Independent Type A Prismatic Tanks (2013)
ITTC: ITTC – Recommended Procedures and Guidelines - Sloshing Model Test (2014)
LR: Sloshing Assessment Guidance Document for Membrane Tank LNG Operations (2009)
Gervaise, E., De Sèze, P.E., Maillard, S.: Reliability-based methodology for sloshing assessment of membrane LNG vessels. Int. J. Offshore Polar Eng. 19, 254–263 (2009)
Ryu, M.C., Jung, J.H., Kim, Y.S., Kim, Y.: Sloshing design load prediction of a membrane type LNG cargo containment system with two-row tank arrangement in offshore applications. Int. J. Nav. Archit. Ocean Eng. 8, 537–553 (2016)
Ahn, Y., Kim, S., Kim, J., Lee, J., Kim, Y.: Experimental comparison of sloshing loads on weather side and lee side. In: 28th International Ocean and Polar Engineering Conference, Sapporo, Japan, pp. 838–44 (2018)
Kim, S.-Y., Kim, Y., Lee, J.: Comparison of sloshing-induced pressure in different scale tanks. Ships Offshore Struct. 12, 244–261 (2017)
Oh, M.H., Kim, J.M., Moon, J.S., Sim, W.S., Shin, H.S.: Sloshing assessment of FLNG cargo containment system due to sloshing loads in bimodal seas: effect of wave intensity. Int. J. Offshore Polar Eng. 25, 170–177 (2015)
Park, J.-J., Kawabe, H., Kim, M.S., Kim, B.W., Ha, M.K.: Sloshing assessment of LNG-FPSOs for partial filling operations. In: 19th International Ocean and Polar Engineering Conference, Osaka, Japan, pp. 276–83 (2009)
Graczyk, M., Moan, T., Rognebakke, O.: Probabilistic analysis of characteristic pressure for LNG tanks. J. Offshore Mech. Arct. Eng. 128, 133–144 (2006)
Graczyk, M., Moan, T.: A probabilistic assessment of design sloshing pressure time histories in LNG tanks. Ocean Eng. 35, 834–855 (2008)
Graczyk, M., Moan, T.: Structural response to sloshing excitation in membrane LNG tank. J. Offshore Mech. Arct. Eng. 133, 021103–0211011 (2011)
Mathiesen, J.: Sloshing loads due to random pitching, 4, Norwegian Maritime Res (1976)
Kim, S.-Y., Kim, K.-H., Kim, Y.: Comparative study on model-scale sloshing tests. J. Mar. Sci. Technol. 17, 47–58 (2012)
Kim, S.-Y., Kim, Y., Kim, K.-H.: Statistical analysis of sloshing-induced random impact pressures. J. Eng. Marit. Environ. 228, 235–248 (2014)
Kim, Y., Kim, S.-Y., Ahn, Y., Kim, K.-H., Jeon, S.E., Suh, Y.S.: Model-scale sloshing tests for an anti-sloshing blanket system. Int. J. Offshore Polar Eng. 23, 254–262 (2013)
Nho, I.S., Ki, M.S., Lee, J.M., Kim, S.C.: A study on the sloshing impact response analysis for insulation system of mark III LNG cargo containment system. In: 21st International Ocean and Polar Engineering Conference, Maui, Hawaii, USA, pp. 206–10 (2011)
Dematteo, A., Ratouis, A.: Stochastic simulation of the pressure field induced by sloshing impacts. In: 23rd International Ocean and Polar Engineering Conference, Anchorage, Alaska, USA, pp. 290–297 (2013)
Fillon, B., Diebold, L., Henry, J., Derbanne, Q., Baudin, E., Parmentier, G.: Statistical post-processing of long-duration sloshing test. In: 21st International Ocean and Polar Engineering Conference, Maui, Hawaii, USA, pp. 46–53 (2011)
Fillon, B., Henry, J., Baudin, E., Diebold, L., Parmentier, G., Derbanne, Q.: Influence of sampling rates on sloshing pressures prediction. In: 22nd International Ocean and Polar Engineering Conference, Rhodes, Greece, pp. 409–16 (2012)
Fillon, B., Henry, J., Diebold, L., Derbanne, Q.: Extreme values theory applied to sloshing pressure peaks. In: 23rd International Ocean and Polar Engineering Conference, Anchorage, Alaska, USA, pp. 298–305 (2013)
Repalle, N., Truong, T., Thiagarajan, K., Roddier, D., Seah, R.K.M., Finnigan, T.: The effect of sampling rate on the statistics of impact pressure. In: ASME 2010 29th international Conference Ocean and Offshore Arctic Engineering, Shanghai, China, pp. 565–72 (2010)
Kim, S.-Y., Kim, K.-H., Kim, Y.: Comparative study on pressure sensors for sloshing experiment. Ocean Eng. 94, 199–212 (2015)
Yamamoto, S., Kataoka, F., Shioda, S., Ashitani, Y.: Study on impact pressure due to sloshing in midsized LNG carrier. Int. J. Offshore Polar Eng. 2(5), 99–110 (1995)
Razola, M., Olausson, K., Garme, K., Rosén, A.: On high-speed craft acceleration statistics. Ocean Eng. 114, 115–133 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ahn, Y., Lee, J., Kim, J., Kim, Y. (2021). Data Mining in Sloshing Model Test Database for Design of LNG Floating Units. In: Okada, T., Suzuki, K., Kawamura, Y. (eds) Practical Design of Ships and Other Floating Structures. PRADS 2019. Lecture Notes in Civil Engineering, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-15-4624-2_58
Download citation
DOI: https://doi.org/10.1007/978-981-15-4624-2_58
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-4623-5
Online ISBN: 978-981-15-4624-2
eBook Packages: EngineeringEngineering (R0)