A Caltech Library Service

Finite element solver for data-driven finite strain elasticity

Platzer, Auriane and Leygue, Adrien and Stainier, Laurent and Ortiz, Michael (2021) Finite element solver for data-driven finite strain elasticity. Computer Methods in Applied Mechanics and Engineering, 379 . Art. No. 113756. ISSN 0045-7825.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


A nominal finite element solver is proposed for data-driven finite strain elasticity. It bypasses the need for a constitutive model by considering a database of deformation gradient/first Piola–Kirchhoff stress tensors pairs. The boundary value problem is reformulated as the constrained minimization problem of the distance between (i) the mechanical states, i.e. strain–stress, in the body and (ii) the material states coming from the database. The corresponding constraints are of two types: kinematical, i.e. displacement–strain relation, and mechanical, i.e. conservation linear and angular momenta. The solver uses alternated minimization: the material states are determined from a local search in the database using an efficient tree-based nearest neighbor search algorithm, and the mechanical states result from a standard constrained minimization addressed with an augmented Lagrangian approach. The performance of the solver is demonstrated by means of 2D sanity check examples: the data-driven solution converges to the classical finite element solution when the material database increasingly approximates the constitutive model. In addition, we demonstrate that the balance of angular momentum, which was classically not taken into account in previous data-driven studies, must be enforced as a constraint to ensure the convergence of the method.

Item Type:Article
Related URLs:
URLURL TypeDescription
Platzer, Auriane0000-0002-0244-9632
Leygue, Adrien0000-0003-0714-822X
Stainier, Laurent0000-0001-6719-6616
Ortiz, Michael0000-0001-5877-4824
Additional Information:© 2021 Elsevier. Received 12 October 2020, Revised 29 January 2021, Accepted 26 February 2021, Available online 19 March 2021. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Subject Keywords:Data-driven computing; Finite strain; Model-free; Optimization methods; Data science
Record Number:CaltechAUTHORS:20210423-164852906
Persistent URL:
Official Citation:Auriane Platzer, Adrien Leygue, Laurent Stainier, Michael Ortiz, Finite element solver for data-driven finite strain elasticity, Computer Methods in Applied Mechanics and Engineering, Volume 379, 2021, 113756, ISSN 0045-7825,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108825
Deposited By: George Porter
Deposited On:26 Apr 2021 15:13
Last Modified:26 Apr 2021 15:13

Repository Staff Only: item control page