This study assesses the roles of secondary flows in meander evolution by testing two model parameters, A and As, which represent the effects of momentum redistribution exerted by the topography-driven and curvature-driven secondary currents, respectively.
To estimate the model parameters, a Markov-chain Monte Carlo sampling algorithm is developed.
To enhance model interpretability, we introduced two constraints into model parameters: (a) nonnegative coefficients, and (b) structural smoothness.
To avoid having to deal with a huge number of model parameters, a methodology based upon structural contributions was applied.
In order to identify the model parameters, a series of ad hoc experiments were designed to test the device over various engine operating conditions.
In order to optimize the proton exchange membrane fuel cell (PEMFC) model parameters, a novel approach based on seeker optimization algorithm (SOA) is proposed.
Using the pharmacokinetic model parameters, a Monte Carlo simulation was conducted to estimate the probabilities of attaining the bacteriostatic and bactericidal targets (40%and70%0% of the time above the minimum inhibitory concentration (T > MIC), respectively) in PF.
To avoid numerical problems that can occur when trying to develop IS for all uncertain model parameters, a prioritization is first performed using a recently proposed global sensitivity analysis to quantify the relative importance of each model parameter.
Since ill-conditioning may occur at the numerical identification stage of high order model parameters, a novel approach to identify the model optimal order and parameters, mainly employing a orthogonal polynomial basis, is proposed in this paper.
With the detailed exposition of the major algorithms for solving the three key problems in HMM, namely, the evaluation of observation sequence probability, optimization of state sequence probability, and optimization of model parameters, a working prototype of HMM-based system is developed.
It is shown that, with a proper combination of model parameters, a realistic shape of the load displacement diagram can be achieved and pathological effects such as extremely brittle response or expansion of the damage zone accompanied by stress locking can be eliminated.
