arXiv subjects

Giovanni Di Luzio

Publications and source records attributed to Giovanni Di Luzio.

3 recordsLinked to original sources

arXiv2026

Lattice Discrete Particle Model (LDPM): Comparison of Various Time Integration Solvers and Implementations

This article presents a comparison of various implementations of the Lattice Discrete Particle Model (LDPM) for the numerical simulation of concrete and other heterogeneous quasibrittle materials. The comparison involves the use of transient implicit and explicit solvers and steady-state (static) solvers and implementations for Central Processing Unit (CPU) as well as Graphics Processing Unit (GPU). The various implementations are compared on the basis of a set of benchmarks tests describing behaviors of increasing computational complexity. They include elastic vibrations, confined strain-hardening compressive response, tensile fracture, and unconfined strain-softening compressive response. Metrics of interest extracted from the simulations include macroscopic stress versus strain responses, computational times, number of iterations, and energy balance error. Pairwise comparison of final crack patterns is provided through the correlation coefficient and normalized root mean square error of the crack opening vectors. Moreover, for the most numerically challenging case of unconfined compression with sliding boundary conditions, the stability of the strain-softening response is tested by perturbing the solutions as well as changing the convergence criteria and time step size. Attached to this paper is the complete input data of the benchmark tests; this will allow researchers to run the examples and compare them with their own implementations. In addition, most of the reported implementations are publicly available in open source packages.

cs.CE↗

arXiv2025

Nanoparticle simulations of logarithmic creep and microprestress relaxation in concrete and other disordered solids

Bažant's microprestress theory relates the logarithmic basic creep of concrete to power-law relaxation of heterogeneous eigenstresses at the nanoscale. However, the link between material chemistry, nanostructure, and microprestress relaxation, is not understood. To approach this, we use a simple model of harmonically interacting, packed nanoparticles, relaxing with and without external stress. Microprestresses are related to per-particle virial stress heterogeneities. Simulation results show that logarithmic creep and power-law microprestress relaxation emerge from generic deformation kinetics in disordered systems, which can occur in various materials and at various scales. When the interactions are matched to some mechanical properties of C--S--H at the 100 nm scale, the predicted microprestresses have similar magnitude as in Bažant's theory. The ability of our simulations to quantitatively link stress relaxation with nanostructure and chemistry-dependent interactions, provides a pathway to better characterise, extrapolate, and even engineer the creep behaviour of traditional and new concretes.

cond-mat.mtrl-sci↗

arXiv2018

C-S-H gel densification: the impact of the nanoscale on self desiccation and sorption isotherms

The relationship between humidity and water content in a hydrating cement paste is largely controlled by the nanostructure of the C-S-H gel. Current hydration models do not describe this nanostructure, thus sorption isotherms and self-desiccation are given as constitutive inputs instead of being predicted from microstructural evolution. To address this limitation, this work combines a C-S-H gel description from nanoscale simulations with evolving capillary pore size distributions from a simple hydration model. Results show that a progressive densification of the C-S-H gel must be considered in order to explain the self-desiccation of low-alkali pastes. The impact of C-S-H densification on the evolution of microstructure and sorption isotherms is then discussed, including the effect of water-to-cement ratio, cement powder fineness, and curing temperature. Overall, this work identifies an area where nanoscale simulations can integrate larger-scale models of cement hydration and poromechanics.

cond-mat.soft↗