Computational Modelling of Concrete Structures 2010
DOI: 10.1201/b10546-42
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Limit analysis of 3D reinforced concrete frames

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Cited by 9 publications
(15 citation statements)
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“…In this equation, F(x)O means that the matrix F is a semidefinite positive. For a given stress state σc in the concrete, the yield criteria can be written as two linear matrix inequalities and two linear inequalities (Larsen, 2009)α1 and α2 are scalar variables.…”
Section: Materials Yield Criteria and Programmingmentioning
confidence: 99%
“…In this equation, F(x)O means that the matrix F is a semidefinite positive. For a given stress state σc in the concrete, the yield criteria can be written as two linear matrix inequalities and two linear inequalities (Larsen, 2009)α1 and α2 are scalar variables.…”
Section: Materials Yield Criteria and Programmingmentioning
confidence: 99%
“…k = 4 corresponding to µ = 0.75 and θ ≈ 37 • is commonly used for normal strength concrete. The principal stresses are the eigenvalues of the concrete stress tensor σ c , thus, (4) can be represented using linear matrix inequalities [26,29,30].…”
Section: Conic Representation Of the Mohr-coulomb Criterionmentioning
confidence: 99%
“…For ultimate limit state (ULS) analysis of appropriately reinforced concrete structures, finite element limit analysis (FELA) has proven to be a reliable and computationally efficient method for a variety of types of RC structures. [4][5][6][7][8] By adopting rigid-plastic material models for the reinforcement and the concrete, the method determines the ultimate capacity and collapse mode of RC structures with great computational robustness and efficiency owing to the use of convex optimization algorithms. However, due to the rigid-plastic material models, FELA cannot provide information on finite deformations, ruling out its use in serviceability limit state (SLS) analysis or buckling analysis.…”
Section: Introductionmentioning
confidence: 99%