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A Cox regression model to analyze time to failure was implemented as supportive analysis, which included the mentioned stratification variables and OADs, gender, diabetes duration, HOMA-B, HOMA-IR, baseline A1C, and country.
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The delamination failure is implemented by an adaptation of the cohesive law.
Two versions of the algorithm, the one using single-step and the other using incremental application of each load cycle (in case of ply failure) are implemented and compared.
The face-sheets behaviour was modelled through a VUMAT subroutine, in which a failure model based on Hou failure criteria was implemented.
To accomplish this goal a progressive failure model was implemented in a finite element code to predict the failure modes (fibre tensile failure, fibre compressive failure, matrix cracking, matrix crushing, and delamination), considering both Hou and Hashin criteria.
To satisfy the three failure criteria, the plasticity model using multiple failure criteria was implemented.
Since no failure criterion was implemented, both models were not able to reproduce the failure of the beams, but the overall tendency of the numerical results was consistent with the experimental data.
The numerically-derived failure surface was implemented into the phenomenological GISSMO damage model in the commercial finite element code LS-DYNA and the accuracy of the failure surface was determined using finite element predictions of the characterization experiments.
The failure model was implemented in the ABAQUS user subroutine USDFLD.
Additionally to the simulation of standard outpatient and inpatient care procedures in Austria the approach of a telemedical monitoring system for heart failure patients was implemented in this economic model.
In this work, a novel approach to fatigue life prediction under step-stress conditions is introduced, where the cumulative distribution function for the failure of components was implemented by means of a neural network.
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