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An assessment of reliability of a blast wall using limited statistical information on blast loading

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A design of a blast wall is considered. Methods of structural reliability analysis and quantitative risk assessment are applied to the design. The basic idea of this design is to apply a probability of failure of cladding components as a criterion of damage to the cladding. This probability is used as an estimate of the proportion of cladding components destroyed by an explosion. The cladding failure probability is estimated by quantifying and propagating uncertainties related to a mechanical model of cladding and elements of the statistical sample containing records of blast loading. It is demonstrated how to estimate the cladding failure probability when the size of this sample is small from the standpoint of classical statistics. The case study included in the paper considers a design of a cladding for a blast wall to be deployed for protecting a fuel tank against an explosion of a railroad tank car.
Rocznik
Strony
259--266
Opis fizyczny
Bibliogr. 18 poz., tab., wykr.
Twórcy
  • Vilnius Gediminas Technical University, Vilnius, Lithuania
  • Vilnius Gediminas Technical University, Vilnius, Lithuania
  • Vilnius Gediminas Technical University, Vilnius, Lithuania
Bibliografia
  • [1] Aven, T.& Zio, E. (2011). Some considerations on the treatment of uncertainties in risk assessment for practical decision making. Reliability Engineering and System Safety 96, 1, 64-74.
  • [2] Biggs, J.M. (1964). Introduction to structural dynamics. McGraw-Hill, New York.
  • [3] Bogosian, D. & Piepenburg, D. (2002). Effectiveness of frangible barriers for blast shielding. Proc. of the 17th International Symposium on the Military Aspects of Blast and Shock. June 2002. Las Vegas, USA, 1-11.
  • [4] Guruprasad, S. & Mukherjee, A. (2000). Layered sacrificial claddings under blast loading. Part I- analytical studies. International Journal of Impact Engineering 24, 9, 957-973.
  • [5] Guruprasad, S. & Mukherjee, A. (2000). Layered sacrificial claddings under blast loading. Part II- experimental studies. International Journal of Impact Engineering 24, 9, 975-984.
  • [6] Hanssen, A.G., Enstock, L. & Langseth, M. (2002). Close-range loading of aluminium foam panels. International Journal of Impact Engineering 27, 6, 593-618.
  • [7] Juocevičius, V. (2011). A method for assessing risk to engineering structures exposed to accidental actions. Doctoral dissertation. Technika, Vilnius.
  • [8] Juocevičius, V. & Vaidogas, E. R. (2010). Effect of explosive loading on mechanical properties of concrete and reinforcing steel: towards developing a predictive model. Mechanika 1, 5-12.
  • [9] Kelly, D.L. & Smith, C.L. (2009). Bayesian inference in probabilistic risk assessment - the current state of the art. Reliability Engineering and System Safety 94, 2, 628-643.
  • [10] Krauthammer, T. (2008). Modern Protective Structures. CRC Press, Boca Raton.
  • [11] Lemaire, M. (2009). Structural Reliability. ISTE, London.
  • [12] Louca, L.A., Boh, J.W. & Choo, Y.S. (2004). Design and analysis of stainless steel profiled blast barriers. Journal of Constructional Steel Research 60, 12, 1699-1723.
  • [13] Smith, P.D. (2010). Blast walls for structural protection against high explosive threats: A review. International Journal of Protective Structures 1, 1, 67-54.
  • [14] Spaethe, G. (1987). Die Sicherheit tragender Baukonstruktionen. VEB Verlag für Bauwesen, Berlin.
  • [15] Straub, D. & Der Kiureghian, A. (2008). Improved seismic fragility modelling from empirical data. Structural Safety 30, 4, 320-336.
  • [16] Su, Y., Wu, C. Q. & Griffith, M. (2008). Mitigation of blast effects on aluminium foam protected masonry walls. Transactions of Tianjin University 14, 1,558-562.
  • [17] Vaidogas, E.R. (2007). Handling uncertainties in structural fragility by means of the Bayesian bootstrap resampling. Proc. on CD of the 10th Int. Conf. on Applications of Statistics and Probability in Civil Engineering (ICASP10), Tokyo, Japan, Jul 31-Aug 03, 2007. Eds. J. Kanda, T. Takada, H. Furuta. Taylor & Francis, London.
  • [18] Vaidogas, E.R. (2009). On applying sparse and uncertain information to estimating the probability of failure to to rare abnormal situations. Information Technology and Control 38, 2, 135-146.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-44c05e52-076f-466c-be4e-2cbfc3b431b6
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