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Oanh Chau

Researcher at University of La Réunion

Publications -  32
Citations -  336

Oanh Chau is an academic researcher from University of La Réunion. The author has contributed to research in topics: Uniqueness & Weak solution. The author has an hindex of 10, co-authored 30 publications receiving 315 citations. Previous affiliations of Oanh Chau include University of Perpignan.

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Variational and numerical analysis of a quasistatic viscoelastic contact problem with adhesion

TL;DR: In this paper, a model for the adhesive, quasistatic and frictionless contact between a viscoelastic body and a deformable foundation is described, where the adhesion process is modelled by a bonding field on the contact surface, and contact is described by a modified normal compliance condition.
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Dynamic frictionless contact with adhesion

TL;DR: In this paper, a model for the dynamic, adhesive, frictionless contact between a viscoelastic body and a deformable foundation is described, where the adhesion process is modeled by a bonding field on the contact surface.
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A frictionless contact problem for elastic–viscoplastic materials with normal compliance and damage

TL;DR: In this article, the authors studied a quasistatic frictionless contact problem with normal compliance and damage for elastic-viscoplastic bodies and provided a variational formulation for the mechanical problem and sketch a proof of the existence of a unique weak solution to the model.
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A Dynamic Frictional Contact Problem with Normal Damped Response

TL;DR: In this article, the authors consider a mathematical model which describes the frictional contact between a viscoelastic body and a reactive foundation and derive error estimates under additional regularity assumptions on the data and the solution.
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Quasistatic Frictional Problems for Elastic and Viscoelastic Materials

TL;DR: In this paper, the authors consider two quasistatic problems which describe the frictional contact between a deformable body and an obstacle, the so-called foundation, and derive weak formulations for the models and prove existence and uniqueness results.