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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Millen, S. L. J. / Dahale, M. / Fisher, T. / Samy, A. / Thompson, K. / Ramaswamy, K. / Ralph, C. / Archer, E. / McIlhagger, A. / Ullah, Z. / Falzon, B. G. (2023): Modelling low-velocity impact damage and compression after impact of 3D woven structures considering compaction. In: Composite Structures, v. 318 (August 2023).

    https://doi.org/10.1016/j.compstruct.2023.117104

  2. Millen, S. L. J. / Ullah, Z. / Falzon, B. G. (2021): On the importance of finite element mesh alignment along the fibre direction for modelling damage in fibre-reinforced polymer composite laminates. In: Composite Structures, v. 278 (December 2021).

    https://doi.org/10.1016/j.compstruct.2021.114694

  3. Ullah, Z. / Kaczmarczyk, Ł. / Pearce, C. J. (2020): A three-dimensional hierarchic finite element-based computational framework for the analysis of composite laminates. In: Composite Structures, v. 239 (May 2020).

    https://doi.org/10.1016/j.compstruct.2020.111968

  4. Ullah, Z. / Kaczmarczyk, L. / Pearce, C. J. (2017): Three-dimensional nonlinear micro/meso-mechanical response of the fibre-reinforced polymer composites. In: Composite Structures, v. 161 (February 2017).

    https://doi.org/10.1016/j.compstruct.2016.11.059

  5. Zhou, X.-Y. / Gosling, P. D. / Ullah, Z. / Kaczmarczyk, Ł. / Pearce, C. J. (2016): Exploiting the benefits of multi-scale analysis in reliability analysis for composite structures. In: Composite Structures, v. 155 (November 2016).

    https://doi.org/10.1016/j.compstruct.2016.08.015

  6. Ullah, Z. / Augarde, C. E. (2013): Finite deformation elasto-plastic modelling using an adaptive meshless method. In: Computers & Structures, v. 118 (March 2013).

    https://doi.org/10.1016/j.compstruc.2012.04.001

  7. Ullah, Z. / Kaczmarczyk, Ł. / Grammatikos, S. A. / Evernden, M. C. / Pearce, C. J. (2017): Multi-scale computational homogenisation to predict the long-term durability of composite structures. In: Computers & Structures, v. 181 (March 2017).

    https://doi.org/10.1016/j.compstruc.2016.11.002

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