2007
DOI: 10.1007/s10957-007-9243-8
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Second-Order Cone and Semidefinite Representations of Material Failure Criteria

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Cited by 50 publications
(50 citation statements)
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“…More precisely, .˛; 1 ; : : : ; r / is optimal for problem (7) if and only if there exist 1 ; : : : ; r such that .˛; 1 ; : : : ; r ; 1 ; : : : ; r / is optimal for problem (9). Therefore, the optimal value of problem (9) coincides with the shakedown limit load multiplier.…”
Section: Reformulation To Semidefinite Programmingmentioning
confidence: 97%
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“…More precisely, .˛; 1 ; : : : ; r / is optimal for problem (7) if and only if there exist 1 ; : : : ; r such that .˛; 1 ; : : : ; r ; 1 ; : : : ; r / is optimal for problem (9). Therefore, the optimal value of problem (9) coincides with the shakedown limit load multiplier.…”
Section: Reformulation To Semidefinite Programmingmentioning
confidence: 97%
“…An example is the Ilyushin yield criterion, which can be represented as the intersection of two ellipsoids [9]. In that case, the resulting SDP has two positive semidefinite constraints for each l. Other examples may be found in [35,36].…”
Section: Remark 42mentioning
confidence: 99%
“…The yield function f σ ( ) i is checked in the m points to ensure a safe stress field. For concrete, the Mohr-Coulomb yield criterion is commonly used which can be expressed as conic constraints [21,22].…”
Section: Acknowledgmentmentioning
confidence: 99%
“…Recent advances in mathematical programming have extended interior point algorithms to second-order cone programming (SOCP) problems [2,15,19,20]. SOCP encompasses a larger class of convex optimization problems and an important number of the usual strength criteria can be formulated using SOCP constraints [5,22], allowing us to obtain numerical estimates of limit loads with higher accuracy and small computation times. For these reasons, limit analysis using SOCP formulations has gained increasing attention and was successfully applied to 2D plane strain or plane stress problems [8,23,24,27] as well as plates in bending problems [6,17,18].…”
Section: Introductionmentioning
confidence: 99%