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To conclude the study, more numerical results obtained using alternative dilatancy models are presented to illustrate the problem of non-uniqueness in plasticity back analyses.
Then, more numerical results are presented, obtained by direct integration of the slow-flow equations in forcing frequency ranges where these equations possess no stable constant solution.
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These methods are more efficient and give more accurate numerical results as compared to other well known methods.
This leads to more realistic numerical results.
In the object controlling model, the cable stress is the control object in order to get more accurate numerical results.
It is possible to have more accurate numerical results if we increase the number of mesh grid points and use smaller time steps.
The predictions of the model are compared with the more accurate numerical results obtained using the finite element method.
From the above, we can see that the minimum energy control causes lower energy dissipation and provides more accurate numerical results, compared to that of the loss minimization control only considering armature resistance.
More detailed numerical results are then obtained with the aid of a commercial three-dimensional real-fluid CFD code, which allows a more refined geometry optimization to be carried out, and yields results for flow details through the turbine and for the turbine overall performance under several operating conditions.
More importantly, numerical results clearly show that the newly developed method does need less number of particles and so less computational costs to achieve the similar level of accuracy, or to produce more accurate results with the same number of particles compared with the traditional SPH and existing ISPH when it is applied to modelling water waves.
It is unknown at this point whether there is rationale for such an alteration, but the change in kinetic order indicates that the model could be slightly reparameterized for more accurate numerical results.
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