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A Mathematical Programming Approach for Finding the Stochastically Most Relevant Failure Mechanism

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Structural Optimization
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Abstract

In calculating the failure probability of structural systems, the most important operation is the search for the stochasticly most relevant failure mechanism. The nodal and mesh description for the modelling of a flexural frame with fully plastic behaviour and slabs discretized into triangular finite elements whose behaviour conforms the yield line theory are considered. The mathematical programming method arising from these models can be formulated as the minimization of a quadratic concave function over a linear domain.

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References

  1. Simões, L.M.C. ‘On the Reliability of Ductile Structural Systems by Mathematical Programming’, submitted to J. Struct Div., ASCE, (1988).

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  2. Munro, J., Da Fonseca, A.M.A. ‘Yield Line Method by Finite Elements and Linear Programming’, The Structural Engineer,2 (1978).

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  3. Ditlevsen, O. ‘Generalized Second Moment Reliability Index’, J. Struct. Mech. , 7 (1979)

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  4. Simões, L.M.C. ‘A Branch and Bound strategy for finding the Reliability Index with Nonconvex Performance Functions’, Structural Safety in publication, (1988).

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  5. Konno, H. ‘Maximization of a Convex Quadratic Function under Linear Constraints’, Math. Program., 11 (1976).

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© 1988 Kluwer Academic Publishers

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SimÕes, L.M.C. (1988). A Mathematical Programming Approach for Finding the Stochastically Most Relevant Failure Mechanism. In: Rozvany, G.I.N., Karihaloo, B.L. (eds) Structural Optimization. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1413-1_41

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  • DOI: https://doi.org/10.1007/978-94-009-1413-1_41

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7132-1

  • Online ISBN: 978-94-009-1413-1

  • eBook Packages: Springer Book Archive

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