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By using dimensionless variables formulated for this work, these charts permit the user to estimate the steady-state design variables described above for a wide range of configurations and conditions beyond those simulated without the need for further modeling.
The aim is to study the quality of the causal relationships between the variable to be explained and the explanatory variables formulated in the research hypotheses.
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For each of these variables we formulated a definition, coding rules and examples for the variable's main category, and if necessary, for all sub-categories.
Hence, weather variables were converted into their normalised factors and combined with other independent variables while formulated the optimised the daily ridership rate estimation model.
An a priori path model was constructed at the start of the analysis and the structure equations for the endogenous variables were formulated.
A cyclic anisothermal constitutive model with internal variables was formulated to describe their behaviour; it allows the description of the Baushinger effect, the continuous cyclic softening, the strain rate dependence and the plastic strain memorisation.
The two variables were formulated with respect to tube width-to-thickness ratio (b/t) and relative concrete compressive strength to yield strength of the steel tube (f′c/Fy).
Then at the physical layout synthesis level, the selection of geometric parameters for component devices and other design variables is formulated as a constrained optimization problem and addressed using a constrained genetic algorithm approach.
To improve the buckling capacity of space domes, an optimization model against instability, which takes the maximization of gra_rmin as the objective and the member sections as discrete variables, is formulated subject to the constraints on design specifications and steel consumption.
An algorithmic description of the situational variables is formulated and the measurement data of the test drive is analyzed.
As a result, three additional research questions stemming from the data and variables were formulated: RQ7: Could online resources help with program planning or behavior management?
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