Print Email Facebook Twitter Experimentally validated meso-scale fracture modelling of mortar using output from micromechanical models Title Experimentally validated meso-scale fracture modelling of mortar using output from micromechanical models Author Zhang, H. (TU Delft Materials and Environment; Shandong University) Xu, Y. (TU Delft Materials and Environment) Gan, Y. (TU Delft Materials and Environment) Schlangen, E. (TU Delft Materials and Environment) Šavija, B. (TU Delft Materials and Environment) Date 2020 Abstract This paper presents a validation process of the developed multi-scale modelling scheme on mortar composites. Special attention was paid to make the material structure of real and virtual mortar specimens comparable at the meso-scale. The input mechanical parameters of cement paste (both bulk cement paste and interfacial transition zone) at the meso-scale were derived from results of micromechanical modelling through a volume averaging approach. Two constitutive relations for local elements were assumed and tested. By comparing with the experiments, the model using linear-elastic constitutive relation showed to be capable to reproduce the experimental load-displacement response satisfactorily in terms of the elastic stage and peak load. However, in the non-elastic stage a more realistic load-displacement curve can be simulated by considering the softening of cement paste using a step-wise approach. More importantly, the proposed multi-scale modelling scheme is validated by the experimental measurements. The proposed development offers the opportunity for the meso-scale model to become fully predictive. Subject Discrete lattice modelFracture behaviourMortarMulti-scale modelling scheme To reference this document use: http://resolver.tudelft.nl/uuid:adef0efa-20d7-4f48-a8ee-fce4d1474af9 DOI https://doi.org/10.1016/j.cemconcomp.2020.103567 ISSN 0958-9465 Source Cement and Concrete Composites, 110, 1-12 Part of collection Institutional Repository Document type journal article Rights © 2020 H. Zhang, Y. Xu, Y. Gan, E. Schlangen, B. Šavija Files PDF 1_s2.0_S0958946520300597_main.pdf 2.72 MB Close viewer /islandora/object/uuid:adef0efa-20d7-4f48-a8ee-fce4d1474af9/datastream/OBJ/view