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In this study the nonlinear procedures (NSA and NDA) are applied.
The main drawback of both methods is their reliance on nonlinear procedures to calculate the particle trajectory.
The reference tissue model (method E) and the simplified reference tissue model (method F) are nonlinear procedures that rely on the entire data set.
This code provides rotations at these levels that can be used for acceptance criteria when evaluating reinforced concrete elements using linear or nonlinear procedures.
This paper studies the response of reinforced concrete (RC) moment resistant frames under several seismic ground motions and evaluates different damage levels established by the ASCE 41-06 seismic rehabilitation standard using the rotation acceptance criteria for nonlinear procedures.
The training process is difficult and not univocal: the problem of initialization is all but trivial; as in all nonlinear procedures, many different solutions, which are difficult to compare and interpret, may be obtained; the complexity of ANN architecture is only roughly definable in terms of number of neurons, layers and connections.
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The results are compared with the ones achieved by a weakly nonlinear procedure based on potential theory.
In addition, a nonlinear procedure is used to calculate the changing of in-plane critical load of plate with time.
This work presents a nonlinear procedure for outliers detection based on residual analysis of regression with Partial Least Squares and Artificial Neural Networks.
In this investigation a new straightforward nonlinear procedure is introduced in the deformation theory of plasticity which simplifies the solution method.
The theoreticAl reflectiononlinearients and the numerical exprocedure show that a cansiderable reduconsiderably numerimproveror due thewaccuracyectiofs is achieved by applyiNRBCsevenesent adaptife algorithe.
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