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Cousigné et al. (2013) developed a nonlinear numerical material model for textile composite materials considering post-failure damage.
Being interested in numerical material investigations we perform virtual tensile strength tests on basis of the microstructure generated in Section 3.
A numerical material and process model was formulated to enable the occurrence of wrinkling to be simulated.
A macroscopic numerical material model based on the mesoscopic structure of woven fabrics is developed.
Therefore, a nonlinear numerical material model for textile composite materials has been developed for shells and thick shells.
This paper describes the derivation and validation of a numerical material model that predicts the highly dynamic behaviour of CFRP (carbon fibre reinforced plastic) under hypervelocity impact.
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In this section, we present some constructive numerical materials to demonstrate the effectiveness and applicability of the proposed conditions and to show the advantages of our results over the previous corresponding robust stability result derived in the literature.
Table 2 Mechanical properties of backfilling materials used in numerical analysis Materials Young's modulus (MPa) Poisson's ratio Uniaxial compressive strength (MPa) m s Unit weight (MN/m3) Backfill 1 20.020.3 20 10.0 0.1 0.020 Backfill 2 500 0.3 10 7.5 0.1 0.017.
In 1994 Berenger introduced the perfectly matched layer (PML) [31], an efficient numerical absorbing material matched to waves of whatever angle of incidence.
In this paper the benefits from combining numerical methods, material modelling and detailed experimental studies for shield design are demonstrated.
Referring to the numerical findings, material with the plastic strain of 1.64 and strain distribution of 0.40 was obtained after the single pass.
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