- All
- Biomechanics
- Environment
- Health Sciences
- Informatics and Applied Mathematics
- Mathematics
- Mechanical engineering
- Physics
- Proceedings
- Social Sciences and Humanities
Mechanical engineering
JTCAM
[Journal of Theoretical, Computational and Applied Mechanics]
JTCAM
Journal of Theoretical, Computational and Applied Mechanics
Established in 2021, Journal of Theoretical, Computational and Applied Mechanics (JTCAM) welcomes research in English in the field of solid mechanics and mechanics of materials and structures. The journal publishes theoretical, numerical, applied and experimental research contributions on an ongoing basis.
- Director of publication: Bruno Sportisse
- Editorial Board: Harsha S. Bhat, Laurence Brassart, Stéphanie Chaillat-Loseille, Lori Graham-Brady, Shaocheng Ji, Phu Nguyen, Anna Pandolfi, Alexander Popp, Julien Réthoré, Olivier Thomas, Laszlo S. Toth
- Medium: electronic
- Frequency: continuous
- Date created: 2021
- Date of publication on Episciences: 2021
- eISSN: 2726-6141
- Subjects: Theoretical, Computational and Applied Mechanics
- Language of publication: English
- Review process: single blind or open peer review
- CC BY 4.0 licence
- Publisher: Inria
- Address: Domaine de Voluceau Rocquencourt, BP 105, 78153 Le Chesnay Cedex
- Country: France
- Contact: jtcam AT episciences.org
Latest articles
Robustness of the Data-Driven Identification algorithm with incomplete input data
Identifying the mechanical response of a material without presupposing any constitutive equation is possible thanks to the Data-Driven Identification algorithm developed by the authors. It allows to measure stresses from displacement fields and forces applied to a given structure; the peculiarity of the technique is the absence of underlying constitutive equation. In the case of real experiments, the algorithm has been successfully applied on a perforated elastomer sheet deformed under large strain. Displacements are gathered with Digital Image Correlation and net forces with a load cell. However, those real data are incomplete for two reasons: some displacement values, close to the edges or in a noise-affected area, are missing and the force information is incomplete with respect to the original DDI algorithm requirements. The present study proves that with appropriate data handling, stress fields can be identified in a robust manner. The solution relies on recovering those missing data in a way that no assumption, except the balance of linear momentum, has to be made. The influence of input parameters of the method is also discussed. The overall study is conducted on synthetic data: perfect and incomplete data are used to prove robustness of the proposed solutions. Therefore, the paper can be considered as a practical guide for implementing the DDI method.
Dalémat, Marie
February 21, 2024
Read article
An energy approach to asymptotic, higher-order, linear homogenization
A higher-order homogenization method for linear elastic structures is proposed. While most existing approaches to homogenization start from the equations of equilibrium, the proposed one works at the energy level. We start from an energy functional depending on microscopic degrees of freedom on the one hand and on macroscopic variables on the other hand; the homogenized energy functional is derived by relaxing the microscopic degrees of freedom and applying a formal two-scale expansion. This method delivers the energy functional of the homogenized model directly, including boundary terms that have not been discussed in previous work. Our method is formulated in a generic setting which makes it applicable to a variety of geometries in dimension 1, 2 or 3, and without any particular assumption on material symmetry. An implementation using a symbolic calculation language is proposed and it is distributed as an open-source library. Simple illustrations to elastic trusses having pre-stress or graded elastic properties are presented. The approach is presented in the context of discrete elastic structures and the connection with previous work on the higher-order homogenization of period continua is discussed.
Audoly, Basile
December 19, 2023
Read article