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A special case is also considered where, at the internal nodes, external elastic constraints are present.
Such algorithms represent the state-of-the-art in (large-scale) topology optimization when multiple constraints are present; an important example being the method of moving asymptotes (MMA).
In this paper, we present feasibility conditions for mathematical programs with affine equilibrium constraints (MPECs) where additional joint constraints are present that must be satisfied by the state and design variables of the problems.
Capitalizing from the results of a more complex case study composed of a coupled isolated tank-piping system, we provide a feasible way to employ the C-EDS method when nonlinearities and multi-point constraints are present in the emulated system.
A novel heuristic model-based optimal scheduling algorithm is proposed in this paper to operate heating and cooling type home appliances connected to smart grids where the price of the electrical energy is known in advance and temperature constraints are present.
Further, we argue, even when forces and constraints are present, a tendency for complexity to increase is always present.
Similar(41)
Strategies for overcoming these constraints are presented.
Simulated spectroscopic features and manufacturing constraints are presented and discussed.
Recommendations for nozzle designs within IFE constraints are presented based on the numerical simulations.
Several numerical examples with different constraints are presented here to illustrate the application of the proposed method.
Many operational constraints are presented that are usually overlooked by black-box modeling strategies, and the implications of these constraints are explored.
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