Sensitivity Analysis of a Scalar Mechanical Contact Problem with Perturbation of the Tresca’s Friction Law
Loïc Bourdin (),
Fabien Caubet () and
Aymeric Jacob de Cordemoy ()
Additional contact information
Loïc Bourdin: Université de Limoges
Fabien Caubet: Université de Pau et des Pays de l’Adour, E2S UPPA, CNRS, LMAP, UMR 5142
Aymeric Jacob de Cordemoy: Université de Pau et des Pays de l’Adour, E2S UPPA, CNRS, LMAP, UMR 5142
Journal of Optimization Theory and Applications, 2022, vol. 192, issue 3, No 4, 856-890
Abstract:
Abstract This paper investigates the sensitivity analysis of a scalar mechanical contact problem described by a boundary value problem involving the Tresca’s friction law. The sensitivity analysis is performed with respect to right-hand source and boundary terms perturbations. In particular, the friction threshold involved in the Tresca’s friction law is perturbed, which constitutes the main novelty of the present work with respect to the existing literature. Hence, we introduce a parameterized Tresca friction problem and its solution is characterized by using the proximal operator associated with the corresponding perturbed nonsmooth convex Tresca friction functional. Then, by invoking the extended notion of twice epi-differentiability depending on a parameter, we prove the differentiability of the solution to the parameterized Tresca friction problem, characterizing its derivative as the solution to a boundary value problem involving Signorini unilateral conditions. Finally, numerical simulations are provided in order to illustrate our main result.
Keywords: Mechanical contact problems; Tresca’s friction law; Signorini unilateral conditions; Variational inequalities; Convex subdifferential; Proximal operator; Sensitivity analysis; Twice epi-differentiability; 49Q12; 46N10; 74M15 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-021-01993-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:192:y:2022:i:3:d:10.1007_s10957-021-01993-x
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-021-01993-x
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().