Pages that link to "Item:Q1668783"
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The following pages link to Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials (Q1668783):
Displaying 8 items.
- \(\Pi\)4U: a high performance computing framework for Bayesian uncertainty quantification of complex models (Q728966) (← links)
- A Bayesian approach to selecting hyperelastic constitutive models of soft tissue (Q1734491) (← links)
- An iterative Bayesian filtering framework for fast and automated calibration of DEM models (Q1987979) (← links)
- An extension of hard-particle model for three-dimensional non-spherical particles: mathematical formulation and validation (Q2289254) (← links)
- Bayesian identification of the tendon fascicle's structural composition using finite element models for helical geometries (Q2308773) (← links)
- Uncertainty Analysis for a Particle Model of Granular Chute Flow (Q3112788) (← links)
- INFERENCE AND UNCERTAINTY PROPAGATION OF ATOMISTICALLY-INFORMED CONTINUUM CONSTITUTIVE LAWS, PART 1: BAYESIAN INFERENCE OF FIXED MODEL FORMS (Q5045420) (← links)
- INFERENCE AND UNCERTAINTY PROPAGATION OF ATOMISTICALLY INFORMED CONTINUUM CONSTITUTIVE LAWS, PART 2: GENERALIZED CONTINUUM MODELS BASED ON GAUSSIAN PROCESSES (Q5045421) (← links)