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Defining of the structural robustness

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Języki publikacji
EN
Abstrakty
EN
Different methods of quantitative assessment of structural robustness has been proposed and widely discussed in recent years. This paper starts out with an outline of the requirements and discussion of the conventional and risk based methods and measures of structural robustness. The probability and consequence analysis related to the assessment of robustness usually contains the statistical, fuzzy and fuzzy-statistical information on the basic variables and parameters. The new fuzzy-probabilistic index of robustness is presented in order to consider all types of available information about different hazards and consequences which influence robustness of a structure. The proposed framework for imprecise risk assessment by means of the frequency-consequences acceptance diagram and quantification of the robustness is illustrated through a numerical example.
Rocznik
Strony
137--144
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • Faculty of Civil and Environmental Engineering, Rzeszów University of Technology, 2 Poznańska St., 35 084 Rzeszów, Poland
Bibliografia
  • [1] Société de Calcul Mathématique, SA, “Robust mathematical modeling”, http://perso.orange.fr/scmsa/robust.htm (2007).
  • [2] M.A. Maes, K.E. Fritzson, and S. Glowienka, “Structural robustness in the light of risk and consequence analysis”, StructuralEng. Int. 77 (18), 73-78 (2006).
  • [3] Santa Fe Institute, RS-2001-009, “Working definitions of robustness,”, http://discuss.santafe.edu/robustness/sories (2001).
  • [4] G. Taguchi, S. Chowdhury and S. Taguchi, Robust Engineering, McGraw Hill, New York, 2000.
  • [5] EN 1990, Eurocode, Basis of Structural Design, CEN, Brussels, 2002.
  • [6] EN 1991-1-2, Eurocode 1, Actions on Structures: Part 1-2 General Actions - Actions on Structures Exposed to Fire, CEN, Brussels, 2002/2009.
  • [7] EN 1991-1-7, Eurocode1, Actions on Structures: Part 1-7 AccidentalActions, CEN, Brussels, 2006.
  • [8] D.M. Frangopol and J.P. Curly, “Effects of damage and redundancy on structural realibility”, J. Structural Eng., 113 (7), 1533-1549 (1987).
  • [9] N.C. Lind, “A measures of vulnerability and damage tolerance”, Reliability Eng. & System Safety 48 (1), 1-6 (1995).
  • [10] ISO Standard 19902, Petroleum and Natural Gas Industries -Fixed Steel Offshore Structures, 2008.
  • [11] B.R. Ellingwood, “Strategies for mitigating risk of progressive collapse”, Proc. ACSE Structures Congress 1, 5-6 (2005).
  • [12] I.W. Baker, M. Schubert, and M.H. Faber, “On assessment of robustness,” J. Structural Safety 30, 253-267 (2008).
  • [13] M.G. Steward and R.E. Melchers, Probabilistic Risk Assessmentof Engineering Systems, Chapman Hall, London, 1997.
  • [14] T. Vrouwenvelder, Risk Assessment and Risk Communicationin Civil Engineering, CIB Report 259, CIB General Secretariat, Rotterdam, 2001.
  • [15] ISO Standard 13824, General Principles on Risk Assessmentof Systems Involving Structures, 2009.
  • [16] M.H. Faber, “On the qualification of robustness of structures”, Proc. Offshore Mechanics and Arctic Eng. Conf. OMAEE 2006-92095, 4-9 (2006).
  • [17] Final Report of COST Action TU0601, Robustness of Structures, COST Office, CTU Publishing House, Prague, 2011.
  • [18] L. Zadeh, “Fuzzy sets”, Information and Control 8, 338-353 (1965).
  • [19] H.X. Li and V.C. Yen, Fuzzy Sets and Fuzzy Decision-Making, CRC Press, Boca Raton, 1995.
  • [20] H. Bandemer and S. Gottwald, Fuzzy Sets, Fuzzy Logic, FuzzyMethods with Applications, J. Wiley & Sons, Chichester, 1995.
  • [21] L. Zadeh, “Outline of a new approach to the analysis of complex systems and decision process”, Trans. Systems, Man &Cybernetics, IEEE, SMC-3, 28-44 (1973).
  • [22] R.R. Yager and D.P. Filev, Essentials of Fuzzy Modeling andControl, J. Wiley & Sons, Chichester, 1994.
  • [23] D. Blockley, The Nature of Structural Design and Safety, Ellis Horwood, Chichester, 1980.
  • [24] J.T.P. Yao, Safety and Reliability of Existing Structures, Pitman Publishing Inc., London, 1985.
  • [25] H. Furuta, M. Ohshima, and N. Shiraishi, “Reliability analysis of damaged redundant structures”, in Recent Studies on StructuralSafety and Reliability: Current Japanese Materials Research, vol. 5 pp. 105-117, Elsevier Applied Science, London, 1988.
  • [26] Sz. Wolinski and R. Kowalczyk, “Reliability-based and fuzzybased evaluation of concrete members designed for flexure and shear”, Proc. 3rd Int. Conf.: Analytical Models and NewConcepts in Mechanics of Concrete Structures 1, 279-284 (1999).
  • [27] N. Lind, “Tolerable risk”, Proc. Int. Conf. on Safety, Risk andReliability in Eng. 1, 123-28 (2001).
  • [28] R. Rakwitz, “Discounting for optimal and acceptable technical facilities involving risk”, J. Heron, 49 (2), 139-170 (2004).
  • [29] ISO Standard 2394, General Principles on Reliability forStructures, 1998.
  • [30] P. Toft-Christiansen, “Modeling of the deterioration of reinforced structures”, Proc. 9th IFIP WG 7.5 Working Conf. onReliability and Optimization of Structural Systems 1, 15-26 (2000).
  • [31] Y. Liu and R. Weyers, “Modeling of the time to corrosion cracking in chloride contaminated reinforced concrete structures”, ACI J. 95, 675-681 (1998).
  • [32] Model Code for Service Life Design. Bulletin 34, EPFL, Lausanne, 2006.
  • [33] Sz. Wolinski, “ Risk based approach to service life assessment of building structures”, Proc. Sustainability of Construction 4, 4.43-4.51 (2008).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG8-0098-0019
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