Model-free data-driven computational mechanics enhanced by tensor voting

A comparison of stochastic and data-driven FEM approaches to problems with insufficient material data

(2019) Tim Fabian Korzeniowski et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Model-Free Data-Driven inelasticity

(2019) R. Eggersmann et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Measuring stress field without constitutive equation

(2019) Marie Dalémat et al.   MECHANICS OF MATERIALS

Data-Driven Problems in Elasticity

(2018) S. Conti et al.   ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS

Data-based derivation of material response

(2018) Adrien Leygue et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A data-driven approach to nonlinear elasticity

(2018) Lu Trong Khiem Nguyen et al.   COMPUTERS & STRUCTURES

Data-driven computing in dynamics

(2017) T. Kirchdoerfer et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

kPCA-Based Parametric Solutions Within the PGD Framework

(2016) D. González et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

(2016) Rubén Ibañez et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Data-driven computational mechanics

(2016) T. Kirchdoerfer et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

On Improving the Efficiency of Tensor Voting

(2011) R. Moreno et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE