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A fully coupled computational framework for fluid pressurised crack evolution in porous media (2019)
Journal Article
Hardcastle, A., Mousavi Nezhad, M., Rezania, M., Tizani, W., & Gamage Ranjith, P. (2019). A fully coupled computational framework for fluid pressurised crack evolution in porous media. Journal of Porous Media, 22(8), 939-956. https://doi.org/10.1615/jpormedia.2019025665

This paper presents a computational framework for modelling hydraulic fracture on the basis of combining continuum porous media and damage theories. By considering the continuum as two separate domains of damaged and intact porous domains, model comp... Read More about A fully coupled computational framework for fluid pressurised crack evolution in porous media.

An industry-inspired civil engineering curriculum (2019)
Journal Article
Turnbull, B. (2020). An industry-inspired civil engineering curriculum. Proceedings of the ICE - Civil Engineering, 173(2), 91-95. https://doi.org/10.1680/jcien.19.00012

This article describes the design of an undergraduate civil engineering curriculum that uses industry approaches to personal professional development and problem-based learning to educate the graduates that industry needs. The new curriculum is struc... Read More about An industry-inspired civil engineering curriculum.

Influence of encapsulated sunflower oil on the mechanical and self-healing properties of dense-graded asphalt mixtures (2019)
Journal Article
Norambuena-Contreras, J., Liu, Q., Zhang, L., Wu, S., Yalcin, E., & Garcia, A. (2019). Influence of encapsulated sunflower oil on the mechanical and self-healing properties of dense-graded asphalt mixtures. Materials and Structures, 52(4), https://doi.org/10.1617/s11527-019-1376-3

This paper re-evaluates the effect of sunflower oil capsules on the mechanical and self-healing properties of dense-graded asphalt mixtures. Different percentages of capsules (0.50wt.%, 0.75wt.% and 1.00wt.%) were mixed into dense asphalt. The influe... Read More about Influence of encapsulated sunflower oil on the mechanical and self-healing properties of dense-graded asphalt mixtures.

Drive-by scour monitoring of railway bridges using a wavelet-based approach (2019)
Journal Article
Fitzgerald, P. C., Malekjafarian, A., Cantero, D., OBrien, E. J., & Prendergast, L. J. (2019). Drive-by scour monitoring of railway bridges using a wavelet-based approach. Engineering Structures, 191, 1-11. https://doi.org/10.1016/j.engstruct.2019.04.046

This paper numerically investigates the feasibility of using bogie acceleration measurements from a passing train to detect the presence of bridge scour. The Continuous Wavelet Transform is used to process the simulated acceleration measurements for... Read More about Drive-by scour monitoring of railway bridges using a wavelet-based approach.

Computationally efficient simulation in urban mechanised tunnelling based on multi-level BIM models (2019)
Journal Article
Ninic, J., Bui, H., Koch, C., & Meschke, G. (2019). Computationally efficient simulation in urban mechanised tunnelling based on multi-level BIM models. Journal of Computing in Civil Engineering, 33(3), https://doi.org/10.1061/%28ASCE%29CP.1943-5487.0000822

The design of complex underground infrastructure projects involves various empirical, analytical or numerical models with different levels of complexity. The use of simulation models in current state-of-the-art tunnel design process can be cumbersome... Read More about Computationally efficient simulation in urban mechanised tunnelling based on multi-level BIM models.