<  Retour au portail Polytechnique Montréal

Documents dont l'auteur est "Diehl, Patrick"

Monter d'un niveau
Pour citer ou exporter [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Grouper par: Auteurs ou autrices | Date de publication | Sous-type de document | Aucun groupement
Aller à : B | D | L | P | T
Nombre de documents: 10

B

Bussler, M., Diehl, P., Pfluger, D., Frey, S., Sadlo, F., Ertl, T., & Schweitzer, M. A. (2017). Visualization of fracture progression in peridynamics. Computers & Graphics, 67, 45-57. Lien externe

D

Diehl, P., & Prudhomme, S. (2022). Coupling Approaches for Classical Linear Elasticity and Bond-Based Peridynamic Models. Journal of Peridynamics and Nonlocal Modeling, 4(3), 336-366. Lien externe

Diehl, P., Jha, P. K., Kaiser, H., Lipton, R., & Lévesque, M. (2020). An asynchronous and task-based implementation of peridynamics utilizing HPXthe C++ standard library for parallelism and concurrency. SN Applied Sciences, 2(12), 21 pages. Lien externe

Delorme, R., Diehl, P., Tabiai, I., Laberge Lebel, L., & Lévesque, M. (2020). Extracting constitutive mechanical parameters in linear elasticity using the virtual fields method within the ordinary state-based peridynamic framework. Journal of Peridynamics and Nonlocal Modeling, 2(2), 111-135. Lien externe

Diehl, P., Prudhomme, S., & Lévesque, M. (2019). A Review of Benchmark Experiments for the Validation of Peridynamics Models. Journal of Peridynamics and Nonlocal Modeling, 1(1), 14-35. Lien externe

Diehl, P., Delorme, R., Tabiai, I., & Lévesque, M. (mai 2018). Extracting constitutive mechanical parameters in linear elasticity using the virtual fields method within the ordinary state-based peridynamics framework [Présentation]. Dans Optimization Days 2018, Montréal, Canada. Lien externe

Diehl, P., Tabiai, I., Baumann, F. W., Therriault, D., & Lévesque, M. (2018). Long term availability of raw experimental data in experimental fracture mechanics. Engineering Fracture Mechanics, 197, 21-26. Lien externe

L

Laberge, G., Shirzad, S., Diehl, P., Kaiser, H., Prudhomme, S., & Lemoine, A. (novembre 2019). Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning [Communication écrite]. IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC 2019), Denver, CO, USA. Lien externe

P

Prudhomme, S., & Diehl, P. (2020). On the treatment of boundary conditions for bond-based peridynamic models. Computer Methods in Applied Mechanics and Engineering, 372, 113391 (23 pages). Lien externe

T

Tabiai, I., Tkachev, G., Diehl, P., Frey, S., Ertl, T., Therriault, D., & Lévesque, M. (2019). Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding. Engineering Fracture Mechanics, 216, 17 pages. Lien externe

Liste produite: Thu Apr 25 04:26:58 2024 EDT.