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In most cases value a cr = a EC2 is less than 2d, which means that the slope of the punching body of the footings is steeper than the slope of the slabs.
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The robust ILC input is computed by minimizing the worst-case value of a performance index under model uncertainty, yielding a convex optimization problem.
In the algorithm, a "quasi-worst-case" value of an infinite horizon objective function is minimized.
Further, depending on the nature of the constraints involved, it is not immediately apparent, what the worst-case value for a given parameter is.
However, each of the estimates provided here includes not only a base case value, but also a high and low value, based on the literature where possible, so that the full range of possibilities can be considered.
It shows that in all cases, values of N above a certain threshold have very little influence on any modeled parameter.
A deterministic decision tree model was used to estimate base case values, and a stochastic version, with Monte Carlo simulation, was used to perform sensitivity analysis.
The argument so far has relied on a base case value for cV (=0.4) grounded in a study of preventable adverse events.
The deterministic model developed was used to estimate base case values, and a stochastic version (with Monte Carlo simulation) was used to perform multivariate sensitivity analysis.
This was achieved by either decrease the base case value or increases it using a multiplier.
For each parameter, we identified a base-case value and range and distribution for use in sensitivity analyses (Table 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com