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Furthermore, the data obtained from high temperature material property tests were utilized to develop mathematical relationships for expressing residual mechanical properties of CNTs modified concrete as a function of temperature.
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The experimental data were utilized to develop an empirical mathematical model based on dimensional analysis to estimate the expansion ratio of the fluidized bed in terms of particle characteristics, operating and design parameters.
Dynamic data cannot directly be utilized to develop mechanical models.
The central composite second-order Rotational Design (CCRD) has been utilized to plan the experiments and response surface methodology (RS M is employed to develop mathematical relationships between joining parameters and desired responses.
Response surface methodology (RSM) was used to develop mathematical models between the key process parameters and the desired responses and the central composite design (CCD) was utilized to conduct experimental planning.
These data can be used to develop mathematical models.
Thus, it is desirable to develop mathematical models to describe, understand, and predict network behavior.
However, efforts to develop mathematical models for mixed substrate kinetics have been limited.
Mathematical modes of enquiry, in contrast, tend to point to mathematical practices as fundamental to developing mathematical understanding.
Naturally, those who develop mathematical models tend to focus on the math.
There is little doubt that the need for utilizing and developing mathematical methods for biology research will only grow in the future.
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