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The simulation strategy is based on computer code ANSYS11.
The simulation strategy is based on tracing the evolution of reactive stochastic particles within the computational domain.
A general CFD-based simulation strategy is developed based on the specific features and conditions met in practice for potable water treatment.
The results show that this simulation strategy is useful for analysing the effects of sampling errors, the changes in operation temperature, random errors and sensor drift.
The simulation strategy is calibrated and validated via experimental tests performed on single carbon/BMI Z-pins inserted in quasi-isotropic laminate.
The accuracy of the developed finite element simulation strategy is validated for transient temperature distributions and residual stress fields through full-scale shop floor welding experiments with proper instrumentation for data measurement.
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In order to reduce the prediction error caused by the IGI, an improved numerical simulation strategy was proposed.
The simulation strategy was as follows: 1.
The above simulation strategy was again used, but with the results of simpleM incorporated.
A similar insilico and molecular dynamic simulation strategy was performed by Kamaraj and Purohit [ 59] to screen disease-associated nsSNP in TYRP1 gene and its structural consequences in OCA3.
Event-driven simulation strategies were proposed recently to simulate integrate-and-fire (IF) type neuronal models.
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