The phrase "applicability of the code" is correct and usable in written English.
It can be used when discussing how relevant or suitable a particular code or set of rules is in a specific context or situation.
Example: "The applicability of the code in this scenario must be evaluated before proceeding with the implementation."
Alternatives: "relevance of the code" or "suitability of the code".
Suggestions are made for applicability of the code, code improvement and future work.
To prove the applicability of the code to large-scale problems, a 40 m3 reactor was simulated.
All these features lead to increased computational efficiency, and allow applicability of the code to multi-core/processor parallel computing platforms with excellent scalability.
Subsequently, the 19-pin and 37-pin bundle benchmark problems are calculated to validate the accuracy and applicability of the code.
Through the numerical simulations in the verification and validation, uncertainty of the code was successfully estimated and applicability of the code to the thermal fatigue issue was confirmed.
These results allow the code to be used with increased confidence in a variety of situations, and they define more precisely the region of applicability of the code.
BSSC 1997 and Adams et al. (1999) studies had pointed that lowering the probability level from 10% in 50-year (widely used in recent codes) provides a better basis for a uniform level of safety across the geographic boundary of applicability of the codes in Canada and the USA and is consistent with the expected target performance of structures.
We are currently validating the applicability of this code for space weather forecasting by comparing the resulting "synthetic" flux profiles with those of several real events.
A second objective is the incorporation of the reactions in a coupled geochemistry/transport code, and to verify the applicability of the coupled code predictions for Ni2+ mass transfer by comparison with the results obtained during column tracer experiments.
However, as these design codes become more widespread, the capability to extend the applicability of the design code by considering additional finite element-based random variables become more desirable and important.
We show linear and nonlinear benchmark tests to prove the validity and applicability of the simulation code.
