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This paper presents an optimization methodology for prediction of damage in rotating blades.
The aim was to develop a methodology for prediction of crazing stress in glassy polymers with frozen-in molecular orientation.
The methodology for prediction of hydroforming stress limit diagram is based on Marciniak and Kuczynski (M K) model.
It focuses on a computationally efficient multi-scale methodology for prediction of the effective elastic properties and the failure strength of 3D braided composites.
In this paper, a new methodology for prediction of the long-term (creep rupture) behavior of multilayer pipes under internal hydrostatic pressure is presented.
Particular interest in this paper is the development of an efficient solution methodology for prediction of gaps at block interfaces in pressure die casting.
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This paper aims to introduce a few alternative methodologies for prediction of vertebral fractures, the most common type being fragility fracture in the elderly.
No accurate methodology exists for prediction of this thermodynamic relationship and equation-of-state data continues to be experimentally characterized for each new formulation or charge density.
This study aims at applying ANN and decision tree models to predict hospital charges on gastric cancer patients and comparing their predictive abilities, so as to shed new lights on methodology for the prediction of the hospital charge on gastric cancer patients.
A methodology for numerical prediction of accumulated rail damage in railway turnouts is presented.
We propose a novel methodology for link prediction applied to the network of virtual water trade.
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