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By integrating this damage evolution model with the synergistic damage mechanics approach for stiffness degradation, the stress-strain response of the studied laminates is predicted.
The suite of models involves an in-process temperature evolution model, a microstructure evolution model with an extension to heterogeneous precipitation, a microstructure based strength and strain hardening model, and a micro-mechanics based damage model.
We validated our modified algorithm by applying it to synthetic fluvial networks produced by a landscape evolution model with no structural control of drainage orientations, and confirmed that only a small fraction of the networks are falsely identified as structurally controlled.
In this section, we describe a simple chemical evolution model with dust which examines what determines the point where the dust mass growth in the ISM becomes dominant.
This simplified gene expression follows a typical switch-like dynamics with a sigmoid input-output behavior [29], [30], [31], [32], [33] widely applied in models of signal transduction[34] and neural networks[35] (For a related evolution model with discrete states, see e.g., [24]).
Conservative alignment (118776 bp) was used to estimate the best protein evolution model with ProtTest 3.2.1 [ 77].
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Nettelmann, N. et al. Uranus evolution models with simple thermal boundary layers.
Here we use the new tool CASQUS, which combines landscape evolution modelling with three-dimensional tectonic models, to investigate how erosion and sediment deposition affect fault behaviour in extensional tectonic regimes.
For these analyses, Metropolis coupling variant of Markov chain Monte Carlo algorithm [ 76] was run with a mixture of protein evolution models with fixed rate matrices [ 75], and assuming equal rates, for 100,000 generations, sampling every 100th generation and discarding initial 25% trees (see manual [ 77]).
Some authors have described 5S rDNA gene families which fit better with a birth-and-death evolution model than with the concerted model [ 9, 14, 22], or with a mixed model with elements of both birth-and-death and concerted evolution [ 23].
The modelling methodology encompasses a continuum dislocation density evolution model coupled with a lumped parameter heat transfer model which has been seamlessly integrated with a mesoscale Monte Carlo (MC) simulation technique.
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