The free pounding experiments are performed to determine the model parameters of impact force and validate the simulation method.
Additional insights from the simulation results include the selection of suitable hybrid model parameters, the impact of reactive surfaces that are in the proximity of a hybrid interface, and the size of a bounded environment that is necessary to assume that it is unbounded.
Meanwhile, performance-driven design methods for complex engineering product development are well investigated by studying design product data models, design parameters' impact on product performance, and complex relationships among the design parameters.
Here we evaluate the pre-calculated rates assumption, showing that ignition predictions depend on the gas composition at which the electron impact reaction rates are generated, but that induced errors are acceptable given the uncertainty in other model parameters such as impact cross sections.
The uncertainties manifest themselves as a large number of stochastic model parameters that could impact the overall profitability and design.
We performed one-way sensitivity analyses on all model parameters, evaluating the impact on incremental cost-effectiveness (comparing TB culture with solid media to the baseline scenario) of a ±25% change in parameter value.
To identify key model parameters and their impact on the results, one-way deterministic sensitivity analyses using extreme values for all model parameters was used.
The results show that the model parameters have a significant impact on the diurnal temperature dynamics, sometimes to a greater extent than on the temperature itself, and that these relationships have diurnal and seasonal variations.
The main model parameters that had a significant impact upon the different impact outcomes of the intervention programme were the STD cofactor effect per sex act, proportion of CSWs recently reached, HIV transmission probability per sex act, average duration of STDs, and the average number of CSWs seen by each client per month.
The result indicates that ±20% changes in five key model parameters have relatively smaller impacts on the simulated mean annual runoff across the 150 basins, compared to errors in model structure.
