This image shows Shadi Alameddin

Dr.-Ing.

Shadi Alameddin

Postdoc
Institute of Applied Mechanics (MIB)
Data Analytics in Engineering
[Photo: Shadi Alameddin]

Contact

Universitätsstraße 32
70569 Stuttgart
Germany

  1. 2020

    1. Alameddin, S., Fau, A., Néron, D., Ladevèze, P., & Nackenhorst, U. (2020). A semi-incremental scheme for cyclic damage computations. In Virtual Design and Validation. Springer Nature. https://doi.org/10.1007/978-3-030-38156-1_12
  2. 2019

    1. Bhattacharyya, M., Fau, A., Desmorat, R., Alameddin, S., Néron, D., Ladevèze, P., & Nackenhorst, U. (2019). A kinetic two-scale damage model for high-cycle fatigue simulation using multi-temporal Latin framework. Eur. J. Mech. - A/Solids, 77. https://doi.org/10.1016/j.euromechsol.2019.103808
    2. Alameddin, S., Fau, A., Néron, D., Ladevèze, P., & Nackenhorst, U. (2019). Toward optimality of proper generalised decomposition bases. Math. Comput. Appl., 24. https://doi.org/10.3390/mca24010030
  3. 2017

    1. Alameddin, S., Bhattacharyya, M., Fau, A., Nackenhorst, U., Néron, D., & Ladevèze, P. (2017). Large time increment approach for fatigue damage computations. PAMM, 17, 231--232. https://doi.org/10.1002/pamm.201710085
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