Abstract
Concrete durability plays an important role in the serviceability of reinforced concrete structures. Deformation induced by shrinkage and thermal strains can lead to the initiation of cracks which in turn may develop into structural damage during several decades of service life. It is time-consuming and impractical to experimentally investigate the long-term mechanical behavior considering environmental influence factors. Hence, a state-of-the-art numerical simulation framework combining the Lattice Discrete Particle Modelling (LDPM) with a multi-physics framework is applied, coupling the mechanical behavior and chemical mechanisms of concrete at an early age and beyond. Based on an equivalent rheological model, the overall age-dependent deformations of concrete can be split into contributions from different physical phenomena assuming the additivity of strain and strain rate in the sense of one-way coupling. The hygro-thermal-chemical model describing the moisture transport, heat transfer and curing reaction drives the development of mechanical properties due to ongoing curing but also thermal and hygral eigenstrains. LDPM reflects the inherently heterogeneous nature of the material concrete at the mesoscale consisting of aggregates and mortar. The effect of aggregate volume and stiffness on concrete shrinkage is investigated by a newly proposed formulation for drying shrinkage of concrete. The results give robust predictions of macroscopic shrinkage for concretes with different mix proportions. A well-established experimental test campaign is selected to calibrate and validate the numerical model, which shows a good agreement and offers promising new insights into the cracking behavior of heterogeneous materials with acceptable computational cost.
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References
Bolander, J., John, E., Berton, S.: Simulation of shrinkage induced cracking in cement composite overlays. Cem. Concr. Compos. 26(7), 861–871 (2004)
Guo, H., et al.: A quadtree-polygon-based scaled boundary finite element method for image-based mesoscale fracture modelling in concrete. Eng. Fract. Mech. 211, 420–441 (2019)
Unger, J., Eckardt, S.: Multiscale modeling of concrete. Arch. Comput. Methods Eng. 18, 341–393 (2011)
Häfner, S., Eckardt, S., Luther, T., Könke, C.: Mesoscale modeling of concrete: geometry and numerics. Comput. Struct. 84(7), 450–461 (2006)
Wriggers, P., Moftah, S.: Mesoscale models for concrete: homogenisation and damage behavior. Finite Elem. Anal. Des. 42(7), 623–636 (2006)
Qin, C., Zhang, C.: Numerical study of dynamic behavior of concrete by meso-scale particle element modeling. Int. J. Impact Eng 38(12), 1011–1021 (2011)
Schlangen, E., Garboczi, E.: Fracture simulations of concrete using lattice models: computational aspects. Eng. Fract. Mech. 57(2–3), 319–332 (1997)
Abdellatef, M., Boumakis, I., Wan-Wendner, R., Alnaggar, M.: Lattice discrete particle modeling of concrete coupled creep and shrinkage behavior: a comprehensive calibration and validation study. Constr. Build. Mater. 211, 629–645 (2019)
Alnaggar, M., Di Luzio, G., Cusatis, G.: Modeling time-dependent behavior of concrete affected by alkali silica reaction in variable environmental conditions. Materials 10(5), 471 (2017)
Cusatis, G., Pelessone, D., Mencarelli, A.: Lattice discrete particle model (LDPM) for failure behavior of concrete. i: theory. Cem. Concr. Compos. 33(9), 881–890 (2011)
Lale, E., Rezakhani, R., Alnaggar, M., Cusatis, G.: Homogenization coarse graining (HCG) of the lattice discrete particle model (LDPM) for the analysis of reinforced concrete structures. Eng. Fract. Mech. 197, 259–277 (2018)
Alnaggar, M., Pelessone, D., Cusatis, G.: Lattice discrete particle modeling of reinforced concrete flexural behavior. J. Struct. Eng. 145(1), 04018231 (2019)
Di Luzio, G., Cusatis, G.: Hygro-thermo-chemical modeling of high performance concrete. i: theory. Cem. Concr. Compos. 31(5), 301–308 (2009)
Shen, L., et al.: On the moisture migration of concrete subject to high temperature with different heating rates. Cem. Concr. Res. 146, 106492 (2021)
Cervera, M., Oliver, J., Prato, T.: Thermo-chemical–mechanical model for concrete. I: hydration aging. J. Eng. Mech. ASCE 125(9), 1018–1027 (1999)
Yang, L., Pathirage, M., Su, H., Alnaggar, M., Di Luzio, G., Cusatis, G.: Computational modeling of temperature and relative humidity effects on concrete expansion due to alkali–silica reaction. Cem. Concr. Compos. 124, 104237 (2021)
Zhang, Y., Di Luzio, G., Alnaggar, M.: Coupled multi-physics simulation of chloride diffusion in saturated and unsaturated concrete. Constr. Build. Mater. 292, 123394 (2021)
Bryant, A., Vadhanavikkit, C.: Creep, shrinkage-size, and age at loading effects. Mater. J. 84(2), 117–123 (1987)
Cusatis, G., Mencarelli, A., Pelessone, D., Baylot, J.: Lattice discrete particle model (LDPM) for failure behavior of concrete. ii: calibration and validation. Cem. Concr. Compos. 33(9), 891–905 (2011)
Di Luzio, G., Cusatis, G.: Hygro-thermo-chemical modeling of high-performance concrete. ii: numerical implementation, calibration, and validation. Cem. Concr. Compos. 31(5), 309–324 (2009)
Di Luzio, G., Cusatis, G.: Solidification–microprestress–microplane (SMM) theory for concrete at early age: theory, validation and application. Int. J. Solids Struct. 50(6), 957–975 (2013)
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Wang, Y., Wan-Wendner, R., Di Luzio, G., Vorel, J., Belis, J. (2023). Multi-physics Modelling of Concrete Shrinkage with the Lattice Discrete Particle Model Considering the Volume of Aggregates. In: Jędrzejewska, A., Kanavaris, F., Azenha, M., Benboudjema, F., Schlicke, D. (eds) International RILEM Conference on Synergising Expertise towards Sustainability and Robustness of Cement-based Materials and Concrete Structures. SynerCrete 2023. RILEM Bookseries, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-031-33211-1_19
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