Computational modeling of high performance steel fiber reinforced concrete using a micromorphic approach

Abstract

The HPFRC composite model takes into account the impor-23 tant effects produced by concrete fracture. A procedure for 24 simulating quasi-brittle fracture is introduced into the model 25 and is described in the paper. The present numerical method-26 ology is assessed by simulating a selected set of experimental 27 tests which proves its viability and accuracy to capture a num-28 ber of mechanical phenomenon interacting at the macro-and 29 mesoscale and leading to failure of HPFRC composites.

Test and Mesoscopic Analysis of Chloride Ion Diffusion of High-Performance-Concrete with Fly Ash and Silica Fume

“…Guo et al [31] proposed a two-dimensional mesoscopic lattice model of high-performance concrete which accounts for fatigue damage. Huespe et al [32] investigated the failure mode of highperformance fiber reinforced concrete composites (HPFRC), through proposing a finite element methodology. Forquin et al [33] developed a mesoscopic numerical model for the ultra-high performance fiber reinforced concrete to investigate the dynamic tension behavior.…”

Modelling the influence of the fibre structure on the structural behaviour of flowable fibre-reinforced concrete

“…In an attempt to take into account its fibre structure, FRC can be modelled as a two-phase material [25][26][27], where the concrete matrix is described as a homogeneous material, while the fibres are treated explicitly as discrete entities. This approach has the advantage of directly including the effect of fibre location and orientation, but requires a definition of the concrete matrix model, the fibre model, and the interface model for the fibre-matrix bond response.…”

A multiscale modeling of CNT-reinforced cement composites

“…Then 1 Δ β is solved correspondingly, which is renewed to calculate 1 u at the second step and, in the same waythe load ends. This scheme has two advantages with respect to the monolithic scheme: (1) the staggered scheme provides a reduction in the size of the matrices involved in the solution of each subsystem; as such, a significant saving in computational cost can be expected, especially when the number of fiber bundles increases; and (2) the computational treatment of problems with avariable number of fiber bundles is simpler[31].…”