Buildings, Vol. 16, Pages 2766: DIC-Based Estimation of Elastic Parameters and Compressive Strength of 3D Printed Concrete via Full-Field Digital Image Correlation
Buildings doi: 10.3390/buildings16142766
Authors:
Fenghua Yuan
Mingyang Feng
Lifang Han
Liping Xu
Three-dimensional printed concrete (3DPC) exhibits anisotropic mechanical behaviour due to layer-wise extrusion, yet a standardised methodology for estimating constitutive model parameters from full-field experimental data remains absent. This study presents a digital image correlation (DIC)-based approach for estimating the elastic modulus and compressive strength of 3DPC from uniaxial compression tests. Six printing groups and one cast control were fabricated, with three groups spanning the nozzle diameter extremes prioritised for complete DIC re-analysis. Full-field surface strain was acquired using a custom interactive Ncorr batch pipeline, with verified region-of-interest selection. The secant elastic modulus, derived from DIC displacement gradients, was 27 ± 3 GPa (15 mm nozzle), 17 GPa (30 mm nozzle), and 22 ± 6 GPa (cast control). Preliminary Poisson ratio estimates of 0.16 and 0.17 were obtained from two specimens. Full-field strain maps revealed greater heterogeneity in the printed specimens than in the cast controls. Results indicate that the choice of nozzle diameter impacts both strength and stiffness, with a 59% increase in each when reducing the nozzle diameter from 30 mm to 15 mm at constant layer height. This approach provides preliminary estimates from a single test, though validation against direct extensometry is recommended before its application to structural simulations.
Lascia un commento