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Journal ArticleDOI

Inverse parameter identification with finite element simulations using knowledge-based descriptors

TLDR
The number of finite element simulations needed to identify material parameters and the total computing time are strongly reduced compared to standard methods.
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This article is published in Computational Materials Science.The article was published on 2013-03-01. It has received 19 citations till now. The article focuses on the topics: Finite element method.

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Multiple Self‐Controlled Case Series for Large‐Scale Longitudinal Observational Databases

TL;DR: A regularized multiple SCCS approach that incorporates potentially thousands or more of time‐varying confounders such as other drugs is proposed, which successfully handles the high dimensionality and can provide a sparse solution via an L1 regularizer.
Journal ArticleDOI

Mechanical responses of the periodontal ligament based on an exponential hyperelastic model: a combined experimental and finite element method

TL;DR: The good agreement between the simulated results and experimental data demonstrates that the V–W model is capable of describing the mechanical behavior of the PDL, and the model and its implementation into FE code are validated.
Journal ArticleDOI

Development and parameter identification of a visco-hyperelastic model for the periodontal ligament.

TL;DR: The present study developed and implemented a new visco-hyperelastic model that is capable of predicting the time-dependent biomechanical behavior of the periodontal ligament and simulated results are in good agreement with the experimental data.
Journal ArticleDOI

A New Method to Determine Material Parameters from Machining Simulations Using Inverse Identification

TL;DR: In this article, the authors use a parameter identification method to identify Johnson-Cook material parameters from machining simulations, which is able to correctly reproduce the target simulations for different target materials with a small number of FEM simulations.
Journal ArticleDOI

A modified parallel-sided shear zone model for determining material constitutive law

TL;DR: In this paper, a modified parallel-sided shear zone model at primary zone is presented for determining J-C parameters, based on the assumption of nonequidistant primary zone, the distribution of velocity, strain rate, strain, and temperature is successfully predicted.
References
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Book

Quantum Mechanics

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Numerical recipes

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Quantum mechanics

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Regression with missing X’s: A review

TL;DR: The literature of regression analysis with missing values of the independent variables is reviewed in this article, where six classes of procedures are distinguished: complete case analysis, available case methods, least squares on imputed data, maximum likelihood, Bayesian methods, and multiple imputation.

Regression with Missing X's: A Review

TL;DR: Regression With Missing X's: A Review Author(s): Roderick J. A.
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