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For such uncommon stressing conditions, prediction of cracking risk becomes very complex and non-local fatigue approaches must be adopted.
Molecular dynamics as a computer simulation technique, which uses a time-based statistical mechanics method to study the interrelation of atoms for conditions prediction and analysis.
In this paper, a novel down-hole working conditions prediction method for the beam pumping unit based on the chaos time series prediction is proposed.
In such conditions prediction of concrete performance during and after fire exposure is of great practical importance, e.g. in tunnels, as recent fires in major European tunnels have demonstrated.
With widespread increasing applications of mechanized tunneling in almost all ground conditions, prediction of tunnel boring machine (TBM) performance is required for time planning, cost control and choice of excavation method in order to make tunneling economical.
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For the shock tube and flame conditions, predictions were mostly within the experimental uncertainty.
Assuming idealistic conditions, predictions become too optimistic in comparison to the simulation results, even though the latter may not necessarily represent real-world performance.
This will require a framework that can be used to generate predictions about community dynamics within the microbiome under different conditions, predictions that can be tested and validated.
We also show that under appropriate conditions, predictions of toxicity can be made based on EC50 values that contain kinetic information similar to that contained in predictions using Ki.
Although such an assumption may be unrealistic, under certain conditions predictions (or measurements) of exposures at single points in a room are still within acceptable limits of error (e.g., 10%).
These indicate deficiencies in the standard electron concentration models adopted for radio-conditions prediction and forecast and for system-performance assessments.
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