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Applications of Conic Programming in Non-smooth Mechanics

Jeremy Bleyer ()
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Jeremy Bleyer: Laboratoire Navier, ENPC, Univ Gustave Eiffel, CNRS

Journal of Optimization Theory and Applications, 2024, vol. 202, issue 1, No 16, 340-372

Abstract: Abstract In the field of nonlinear mechanics, many challenging problems (e.g., plasticity, contact, masonry structures, nonlinear membranes) turn out to be expressible as conic programs. In general, such problems are non-smooth in nature (plasticity condition, unilateral condition, etc.), which makes their numerical resolution through standard Newton methods quite difficult. Their formulation as conic programs alleviates this difficulty since large-scale conic optimization problems can now be solved in a very robust and efficient manner, thanks to the development of dedicated interior-point algorithms. In this contribution, we review old and novel formulations of various non-smooth mechanics problems including associated plasticity with nonlinear hardening, nonlinear membranes, minimal crack surfaces, and viscoplastic fluid flows.

Keywords: Conic programming; Variational problems; Non-smooth mechanics; Plasticity; 70G75; 49M37; 65K10; 65K15 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10957-022-02105-z

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