Experimental study and numerical model adequacy assessment of hull structure dynamic response subject to underwater explosion

References

• ABAQUS Theory Manual. 2004. ABAQUS 6.11 documentation. 2004.
   Google Scholar
• Bishop CM, Nasrabadi NM. 2006. Pattern recognition and machine learning. New York: Springer.
   Google Scholar
• Buranathiti T, Cao J, Chen W, Baghdasaryan L, Xia ZC. 2006. Approaches for model validation: methodology and illustration on a sheet metal flanging process. J Manuf Sci Eng. 128:588–597. doi: 10.1115/1.1807852
   Web of Science ®Google Scholar
• Eamonn K. 2005. Exact indexing of dynamic time warping. Knowl Inf Syst. 7:358–386. doi: 10.1007/s10115-004-0154-9
   Web of Science ®Google Scholar
• Ferson S, Oberkampf WL, Ginzburg L. 2008. Model validation and predictive capability for the thermal challenge problem. Comput Methods Appl Mech Eng. 197:2408–2430. doi: 10.1016/j.cma.2007.07.030
   Web of Science ®Google Scholar
• Geers TL, Hunter KS. 2002. An integrated wave-effects model for an underwater explosion bubble. Acoust Soc Am. 111:1584–1601. doi: 10.1121/1.1458590
   PubMed Web of Science ®Google Scholar
• Gibbs AL, Su FE. 2002. On choosing and bounding probability metrics. Int Stat Rev. 70:419–435. doi: 10.1111/j.1751-5823.2002.tb00178.x
   Web of Science ®Google Scholar
• Hastie T, Tibshirani R, Friedman J. 2009. The elements of statistical learning, vol.2. New York: Springer.
   Google Scholar
• Hills RG, Trucano TG. 1999. Statistical validation of engineering and scientific models: background. Albuquerque: Sandia National Laboratories.
   Google Scholar
• Huang NE, Shen SSP. 2014. Hilbert-Huang transform and its applications, 2nd ed. Singapore: World Scientific.
   Google Scholar
• Jen CY. 2009. Coupled acoustic-structural response of optimized ring-stiffened hull for scaled down submerged vehicle subject to underwater explosion. Theor Appl Fract Mech. 52:96–110. doi: 10.1016/j.tafmec.2009.08.006
   Web of Science ®Google Scholar
• Kim JH, Shin HC. 2008. Application of the ALE technique for underwater explosion analysis of a submarine liquefied oxygen tank. Ocean Eng. 35:812–822. doi: 10.1016/j.oceaneng.2008.01.019
   Web of Science ®Google Scholar
• Kirubel T, Michael DS, Adam H, Raymond PD. 2014. Mapping model validation metrics to subject matter expert scores for model adequacy assessment. Reliab Eng Syst Saf. 132:9–19. doi: 10.1016/j.ress.2014.07.010
   Web of Science ®Google Scholar
• Meyer MA, Booker JM. 1991. Eliciting and analyzing expert Judgmenta practical guide. New York: SIAM.
   Google Scholar
• Ming FR, Sun PN, Zhang AM. 2014. Investigation on charge parameters of underwater contact explosion based on axisymmetric SPH method. Appl Math Mech (English Ed). 35:453–468. doi: 10.1007/s10483-014-1804-6
   Google Scholar
• Ming FR, Zhang AM, Xue YZ, Wang SP. 2016. Damage characteristics of ship structures subjected to shockwaves of underwater contact explosions. Ocean Eng. 117:359–382. doi: 10.1016/j.oceaneng.2016.03.040
   Web of Science ®Google Scholar
• Oberkampf WL, Trucano TG. 2002. Verification and validation in computational fluid dynamics. Prog Aerosp Sci. 38:209–272. doi: 10.1016/S0376-0421(02)00005-2
   Web of Science ®Google Scholar
• Oberkampf WL, Trucano TG, Hirsch C. 2004. Verification, validation, and predictive capability in computational engineering and physics. Appl Mech Rev. 57:345–384. doi: 10.1115/1.1767847
   Google Scholar
• Parzon E. 1962. On estimation of a probability density function and mode. Ann Inst Stat Math. 33:1065–1076. doi: 10.1214/aoms/1177704472
   Google Scholar
• Petrusa DC. 2004. Evaluation and analysis of DDG-81 simulated Athwartship shock response. Monterey, CA: Naval Postgraduate School.
   Google Scholar
• Rachev ST. 1991. Probability metrics and the stability of stochastic models. Chichester, NY: John Wiley & Sons.
   Google Scholar
• Rebba R, Mahadevan S. 2008. Computational methods for model reliability assessment. Reliab Eng Syst Saf. 93:1197–1107. doi: 10.1016/j.ress.2007.08.001
   Web of Science ®Google Scholar
• Saeed P, Soosan B, Sridhar K. 2015. Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation. IEEE Eng Med Biol Soc. 2015:113–116.
   Google Scholar
• Sarin H, Kokkolaras M, Kulbert G, Papalambros P, Barbat S, Yang RJ. 2010. Comparing time histories for validation of simulation models: error measures and metrics. J Dyn Syst Meas Contr. 132:061401. doi: 10.1115/1.4002478
   Web of Science ®Google Scholar
• Specht DF. 1988. Probabilistic neural networks for classification mapping or associative memory. Proc IEEE Int Conf Neural Netw. 1:525–532. doi: 10.1109/ICNN.1988.23887
   Google Scholar
• Sprague M, Geers T. 2004. A spectral-element method for modelling cavitation in transient fluid-structure interaction. Int J Numer Methods Eng. 60:2467–2499. doi: 10.1002/nme.1054
   Web of Science ®Google Scholar
• Wang J. 2015. Research on the impact dynamic characteristics of the floating shock platform. Harbin: Harbin Engineering University.
   Google Scholar
• Willmott CJ, Ackleson SG, Davis RE, Feddema JJ, KlinK KM, Legates DR, O'Donnell J, M.Rowe C. 1985. Statistics for the evaluation and comparison of models. J Geophys Res. 90:8995–9005. doi: 10.1029/JC090iC05p08995
   Web of Science ®Google Scholar
• Wu GQ, Li J, Li XH, Chen YM, Yuan Y. 1999. Ship radiated-noise ecognition (III) – feature extraction of double-frequency spectrum and average power spectrum and their pattern plates. Acta Acust. 24:191–196.
   Google Scholar
• Xiao W, Zhang AM, Wang SP. 2017. The whipping response of a fluid filled cylindrical shell subjected to an underwater explosion. Mar Struct. 52:82–93. doi: 10.1016/j.marstruc.2016.12.002
   Web of Science ®Google Scholar
• Zhang S, Ling TH, Cao F, Huang K. 2017. Application of removal trend method of pattern adapted continuous wavelet to blast vibration signal analysis. Explos Shock Waves. 37:255–261.
   Google Scholar
• Zhang AM, Zhou WX, Wang SP, Feng LH. 2011. Dynamic response of the non-contact underwater explosions on naval equipment. Mar Struct. 24:396–411. doi: 10.1016/j.marstruc.2011.06.002
   Web of Science ®Google Scholar
• Zhao L, Yang ZP. 2015. Multiple response model validation metric based on distance of probability distribution. Control Decis. 30:1014–1020.
   Google Scholar
• Zong Z, Zhao YJ, Zou L. 2014. Numerical calculation of underwater explosion structural damage. Beijing: Science Press.
   Google Scholar