It is found that the two can be correlated with high confidence based on a set of common input parameters, like in-situ stresses, wellbore pressure, Young's Modulus, etc. Three correlation equations are provided according to the value range of the predicting terms and an application example is addressed at the end.
Attempt has been made to understand the sensitivity of parameters like variation in material properties, inaccuracies in placement of reinforcement, effect of confinement of concrete and modelling techniques for elements and plastic hinges.
The effect of temperature and concentration of surfactant on various thermodynamic parameters, like change in Gibbs-free energy (ΔG°), change in enthalpy (ΔH°), and change in entropy (ΔS°) were examined.
The differences can be attributed to the several experimental parameters like spacing in embedded MNS inside hydrogels, the variation in Φintra, and variation in water diffusion coefficient inside hydrogels.
We started with the network firing in the hyper-excitable regime (parameters like those in Figure 2-D).
The other thermodynamic parameters like change in entropy ((Delta S)) and Gibbs free energy ((Delta G)) are also reported in Table 8.
Predicting full behavioral change after the intervention period ends, and thus substituting a missing endpoint, may increase uncertainty compared to using an observed outcome parameter like, in this case, smoking cessation.
A simple adaptive controller with a linear-in-parameter-like structure is designed to account for general parameter-dependent plant nonlinearities.
However, the effects of other parameters like air in the system and anaerobic problems should be taken into account too.
