Specifically, this paper describes a general methodology and two DES algorithms, called SAEDES, which can be used to analyze a wide range of time-dependent complex systems, including those presenting multiple states, dependencies among failure/repair times or non-perfect maintenance policies.
In this study, a fully implicit time integration scheme is presented and implemented for the first time for the solution of time-dependent complex flows using the Brownian Configuration Fields approach.
In the Wigner-based formalism, a system is described in terms of time-dependent complex coherent amplitudes (alpha (t)= alpha _{1}(t), alpha _{2}(t),dots, alpha _{m}(t))^{T}) for the internal cavity modes and external inputs (beta _{mathrm {in}}(t) = (beta _{mathrm {in},{1}}(t), beta _{mathrm {in},{2}}(t), dots, beta _{mathrm {in},{n}}(t))^{T}).
However, the second and fourth coefficients are time-dependent complexes, which means that the information carried by the signal envelope has changed.
The research presented in this paper deals with parallel explicit finite element simulation with domain decomposition for seismic response analysis of shield tunnel, which is the non-linear and time dependent behaviour of complex structures in engineering.
However, since LV remodeling is a complex, time dependent process, the most efficacious time of hydrogel injection is not clear.
Reliable signal and thus target identification can be based on recognition of the complex time dependent stress patterns in addition to the information given by signal amplitudes.
Our goal is to design a tool that relies on a reduced set of microscopic mechanisms in order to obtain solutions of complex time dependent N-body problems and to allow an efficient description of the plasma states between classical high temperature systems to strongly coupled plasmas.
A dynamic mathematical model such as ours captures these complex time dependent trends in tuberculosis better than linear extrapolation techniques typically used to estimate the impact of smoking.
The evolving shape of a computational domain carries with it the signature of the aggregation process, which can be insightful in complex and time dependent aggregation conditions.
