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This work proposes a Moving Kriging (MK) shape function modeling method for modal identification of linear time-varying (LTV) structural systems based on vector time-dependent autoregressive moving average (VTARMA) models.
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The proofs are based on arguments of time-dependent variational inequalities, differential equations, and a fixed point theorem.
Based on the time-dependent study, a growth mechanism can be proposed for these nanostructures.
The likely formation mechanism of the porous microspheres is proposed based on the time-dependent experiments.
Analytic design sensitivity is implemented based on the time-dependent adjoint method.
Based on the time-dependent morphology evolution described above, the formation mechanism of Mn3O4 nanorods can be proposed.
Based on the time-dependent effect, the corrosion of reinforcement in concrete was discussed in the literature [8].
The theoretical modeling is based on the time-dependent Nernst-Planck equations.
The growth evolution process of the precursor is systematically investigated based on the time-dependent experiments.
Transcription factors were clustered based on their time-dependent α-coefficient profiles using a hierarchical clustering method.
It is based on viscoplasticity theory, replacing time-dependent with cycle-dependent behaviour.
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