Optimal Control Problems in Nonsmooth Solid and Fluid Mechanics : Computational Aspects
Haslinger, J., & Mäkinen, R. A. E. (2023). Optimal Control Problems in Nonsmooth Solid and Fluid Mechanics : Computational Aspects. In P. Neittaanmäki, & M.-L. Rantalainen (Eds.), Impact of Scientific Computing on Science and Society (pp. 181-193). Springer. Computational Methods in Applied Sciences, 58. https://doi.org/10.1007/978-3-031-29082-4_10
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Computational Methods in Applied SciencesDate
2023Discipline
Computing, Information Technology and MathematicsTietotekniikkaLaskennallinen tiedeComputing, Information Technology and MathematicsMathematical Information TechnologyComputational ScienceAccess restrictions
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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
The paper is devoted to numerical realization of nonsmooth optimal control problems in solid and fluid mechanics with special emphasis on contact shape optimization and parameter identification in fluid flow models. Nonsmoothness is usually owing to the state constraint, typically given by an inequality type problem governing the optimized system. To remove the nonsmooth character, which complicates numerical realization, the penalization/regularization of the state constraint is used. The resulting optimal control problem becomes smooth and it can be solved by standard methods of smooth optimization. This approach is illustrated with a parameter identification in the system driven by the Stokes equation with threshold slip boundary conditions.
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SpringerParent publication ISBN
978-3-031-29081-7Is part of publication
Impact of Scientific Computing on Science and SocietyISSN Search the Publication Forum
1871-3033Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/184742793
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The first author acknowledges the support of FW01010096 of the Czech Technological Agency.License
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