Analysis of randomly vibrating structures under hybrid uncertainty

Abstract In the analysis of several structural systems some parameters always suffer from a level of scattering and others have an intrinsic unpredictable nature. In these circumstances, conventional deterministic-based approaches can lead to excessive approximations and the final results may be very far from the real ones. In this paper, a hybrid approach for the analysis of randomly vibrating structures is presented, to take into account both stochastic processes and epistemic variables. In detail, the dynamic loading has been modelled as a random process whereas the parameters for describing the input process as well as the structural systems are treated as fuzzy variables. This hypothesis has been performed to describe the random meanings and behaviours of some dynamic loads (i.e. earthquake, wind or sea waves) but also to incorporate “non-conventional” sources of uncertainties in the adopted mathematical models. Some numerical examples are presented at the end of the paper in order to illustrate the consequences of the developed methodology. First, the problem regarding a linear tuned mass damper under non-stationary excitation is presented and a sensitivity analysis is conducted for the structural response by considering different values of the input parameters. The second example deals with the dynamic analysis of a broadcasting antenna subject to double filtered stationary base motion. Numerical results demonstrate that the proposed methodology provides an efficient support for assessing the dynamic response under hybrid uncertainty.

[1]  Armen Der Kiureghian,et al.  MEASURES OF STRUCTURAL SAFETY UNDER IMPERFECT STATES OF KNOWLEDGE , 1989 .

[2]  Subrata Chakraborty,et al.  Probabilistic safety analysis of structures under hybrid uncertainty , 2007 .

[3]  Y. K. Wen,et al.  Modeling of nonstationary ground motion and analysis of inelastic structural response , 1990 .

[4]  James J. Buckley,et al.  Fuzzy Probabilities : New Approach and Applications , 2005 .

[5]  P. C. Jennings Simulated earthquake motions for design purposes , 1968 .

[6]  R. Langley UNIFIED APPROACH TO PROBABILISTIC AND POSSIBILISTIC ANALYSIS OF UNCERTAIN SYSTEMS , 2000 .

[7]  Didier Dubois,et al.  Fuzzy sets and systems ' . Theory and applications , 2007 .

[8]  Robert L. Winkler,et al.  Uncertainty in probabilistic risk assessment , 1996 .

[9]  M. Fardis,et al.  Designer's guide to EN 1998-1 and en 1998-5 Eurocode 8: Design of structures for earthquake resistance; general rules, seismic actions, design rules for buildings, foundations and retaining structures/ M.Fardis[et al.] , 2005 .

[10]  R. Clough,et al.  Dynamics Of Structures , 1975 .

[11]  Giuseppe Quaranta,et al.  Fuzzy Time-Dependent Reliability Analysis of RC Beams Subject to Pitting Corrosion , 2008 .

[12]  Baoding Liu Uncertainty Theory: An Introduction to its Axiomatic Foundations , 2004 .

[13]  Byung Hwan Oh JMCE Special Issue: Durability, Corrosion, and Service Life of Concrete Structures , 2008 .

[14]  Jeremy E. Oakley,et al.  Probability is perfect, but we can't elicit it perfectly , 2004, Reliab. Eng. Syst. Saf..

[15]  Ian Hacking,et al.  The Emergence of Probability. A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference , 1979 .

[16]  B. M. Hill,et al.  Theory of Probability , 1990 .

[17]  G. Klir Uncertainty and Information: Foundations of Generalized Information Theory , 2005 .

[18]  A. Papageorgiou,et al.  A specific barrier model for the quantitative description of inhomogeneous faulting and the prediction of strong ground motion. I. Description of the model , 1983 .

[19]  Ove Ditlevsen,et al.  Fundamental Postulate in Structural Safety , 1983 .

[20]  Sylvain Lignon,et al.  A robust approach for seismic damage assessment , 2007 .

[21]  N C Nigam,et al.  Structural Optimization in Random Vibration Environment , 1972 .

[22]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[23]  Stephen C. Hora,et al.  Aleatory and epistemic uncertainty in probability elicitation with an example from hazardous waste management , 1996 .

[24]  W. Graf,et al.  Fuzzy structural analysis using α-level optimization , 2000 .

[25]  Yian-Kui Liu,et al.  Expected value of fuzzy variable and fuzzy expected value models , 2002, IEEE Trans. Fuzzy Syst..

[26]  Gareth W. Parry,et al.  The characterization of uncertainty in probabilistic risk assessments of complex systems , 1996 .