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General Return Mapping in the softening regime

The interpretation of general return mapping integration algorithm as closest point projection of the trial stress state leads to a lagragian with arguments as the state of the system. In the hardening regime, this lagragian is convex and newton's method guarantee uniqueness and convergence (Simo and Hughes). I am interested in the case when the lagragian is no longer definetively convex as could be the case in softening regime. Can anybody suggest me numerical techniques for this case?

Review on Computational Fatigue efforts

Hello Everyone

Can anybody suggest a good review article for the efforts in computational fatigue and any relevant books.



Conjugate Gradient Method

Does anybody have

An Introduction to the Conjugate Gradient Method Without the Agonizing Pain

Jonathan Richard Shewchuk

Mixed formulation

Dear All


 Does anybody have this paper?.


On some variational principles in the theory of elasticity and the theory of plasticity

HC Hu - Scientia Sinica, 1955

Thank you


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