The patient models considered in this contribution have been identified through a constrained optimization approach.
The types of models considered in this paper are ones commonly applied in earthquake engineering.
We analyse, in the context of dense random graphs, two models considered in Durrett et al. [Proc. Natl. Acad. Sci. USA 109 (2012) 3682-3687].
This method improves the performance of all models considered in this work and is of independent interest for a variety of NLP tasks.
The proposed equation provided the least overall average error compared to all other models considered in this study.
However, SPH models are computationally very demanding and the SPH-SWE models considered in this work have no exception.
For the specific scenarios and models considered in this paper, the structural period is found to have a small influence on the DAF.
The models considered in this work are derived from the Reissner Mixed Variational Theorem (RMVT) in order to model a priori the transverse shear and normal stresses.
The mathematical simulations results have been compared with experimental data and mathematical models considered in the literature, and are found to be reliable and satisfactory.
The results showed that, the proposed model produced the least global average absolute relative deviation (5.91%) compared to all other empirical models considered in this study.
Both models, considered in the present formulation, address the behaviour of fibres under tensile axial stresses which result in a "mode II" debonding phenomenon.
