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An ecosystemic approach was conducted for both models, considering local and global environmental variables, the anthropogenic effect, and the interaction between species as inputs.
The objective of the present study is to identify causes and effects of past damage events and to develop conceptual failure models considering local geological and hydrogeological subsurface conditions.
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The next focus of this study is to propose a computational micromechanics model considering local fiber waviness to study the fiber kinking failure mechanism.
But, unlike SEA which involves global variables, this model considers local variables.
The advantage of the proposed approach is that, all uncertainties and neglected dynamics are summarized in one frequency-dependent scalar function and satisfying a simple condition guarantees that the overall closed-loop system under decentralized controllers, which are designed considering local models, is robustly stable.
The advantage of the proposed approach is that, all uncertaities and neglected dynamics are summarized in one frequency-dependent scalar function and satisfying a simple condition which involves this function guarantees that the overall closed-loop system under decoutralized controllers, which are designed considering local models, is robustly stable.
Two smoothing models were considered – local linear least squares regression and a cubic regression spline.
Therefore, many other models which consider local interactions have drawn a lot of attention and been proposed.
This study has resulted in a more comprehensive understanding of such thermal-ratcheting behavior in short fiber-reinforced composites subject to a wide range of external uniaxial loads based on a mean-field micromechanical model considering the local mass transfer by diffusion along the fiber matrix interface.
Existing numerical models that do not consider local buckling effects may overestimate the ultimate strengths of thin-walled CFST slender beam-columns under biaxial loads.
In this article, a Fisher Information Matrix FIMM) based OED method is proposed that considers local model and partition parameters.
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