TY - CHAP A1 - Friedrich, Linus A1 - Lyssakow, Pawel A1 - Pearce, Garth A1 - Ruess, Martin A1 - Bisagni, Chiara A1 - Schröder, Kai-Uwe ED - Papadrakakis, Manolis ED - Papadopoulos, V. ED - Stefanou, G. ED - Plevris, V. T1 - ON THE STRUCTURAL DESIGN OF IMPERFECTION SENSITIVE LAMINATED COMPOSITE SHELL STRUCTURES SUBJECTED TO AXIAL COMPRESSION T2 - Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), 05.06.2016 - 10.06.2016, Crete Island KW - composite shells KW - imperfection sensitivity KW - Shell buckling Y1 - 2016 UR - http://www.eccomasproceedia.org/conferences/eccomas-congresses/eccomas-congress-2016 SN - 978-618-82844-0-1 U6 - https://doi.org/10.7712/100016.1951.5838 SP - 2182 EP - 2189 PB - Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece CY - Athens ER - TY - CHAP A1 - Friedrich, Linus A1 - Ruess, Martin A1 - Schröder, Kai-Uwe T1 - Efficient and robust shell design of space launcher vehicle structures T2 - 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, San Diego, 4-8 January 2016 Y1 - 2016 UR - https://arc.aiaa.org/doi/book/10.2514/MSDM16 SN - 978-1-62410-392-6 U6 - https://doi.org/10.2514/6.2016-1973 SP - 1 EP - 18 PB - American Institute of Aeronautics and Astronautics CY - Reston ER - TY - JOUR A1 - Liang, Ke A1 - Ruess, Martin T1 - Nonlinear buckling analysis of the conical and cylindrical shells using the SGL strain based reduced order model and the PHC method JF - Aerospace Science and Technology Y1 - 2016 U6 - https://doi.org/10.1016/j.ast.2016.05.018 SN - 1270-9638 VL - 55 SP - 103 EP - 110 PB - Elsevier ER - TY - JOUR A1 - Liang, Ke A1 - Ruess, Martin A1 - Abdalla, Mostafa T1 - An eigenanalysis-based bifurcation indicator proposed in the framework of a reduced-order modeling technique for non-linear structural analysis JF - International Journal of Non-Linear Mechanics Y1 - 2016 U6 - https://doi.org/10.1016/j.ijnonlinmec.2016.01.013 SN - 0020-7462 VL - 81 SP - 129 EP - 138 PB - Elsevier ER - TY - JOUR A1 - Liang, Ke A1 - Ruess, Martin A1 - Abdalla, Mostafa T1 - Co-rotational finite element formulation used in the Koiter–Newton method for nonlinear buckling analyses JF - Finite Elements in Analysis and Design Y1 - 2016 U6 - https://doi.org/10.1016/j.finel.2016.03.006 SN - 0168-874X VL - 116 SP - 38 EP - 54 PB - Elsevier ER - TY - JOUR A1 - Varduhn, Vasco A1 - Hsu, Ming-Chen A1 - Ruess, Martin A1 - Schillinger, Dominik T1 - The tetrahedral finite cell method: Higher-order immersogeometric analysis on adaptive non-boundary-fitted meshes JF - International Journal for Numerical Methods in Engineering Y1 - 2016 U6 - https://doi.org/10.1002/nme.5207 SN - 1097-0207 VL - 107 IS - 12 SP - 1054 EP - 1079 PB - Wiley ER - TY - JOUR A1 - Wille, Hagen A1 - Ruess, Martin A1 - Rank, Ernst A1 - Yosibash, Zohar T1 - Uncertainty quantification for personalized analyses of human proximal femurs JF - Journal of Biomechanics N2 - Computational models for the personalized analysis of human femurs contain uncertainties in bone material properties and loads, which affect the simulation results. To quantify the influence we developed a probabilistic framework based on polynomial chaos (PC) that propagates stochastic input variables through any computational model. We considered a stochastic E-ρ relationship and a stochastic hip contact force, representing realistic variability of experimental data. Their influence on the prediction of principal strains (ϵ1 and ϵ3) was quantified for one human proximal femur, including sensitivity and reliability analysis. Large variabilities in the principal strain predictions were found in the cortical shell of the femoral neck, with coefficients of variation of ≈40%. Between 60 and 80% of the variance in ϵ1 and ϵ3 are attributable to the uncertainty in the E-ρ relationship, while ≈10% are caused by the load magnitude and 5-30% by the load direction. Principal strain directions were unaffected by material and loading uncertainties. The antero-superior and medial inferior sides of the neck exhibited the largest probabilities for tensile and compression failure, however all were very small (pf<0.001). In summary, uncertainty quantification with PC has been demonstrated to efficiently and accurately describe the influence of very different stochastic inputs, which increases the credibility and explanatory power of personalized analyses of human proximal femurs. Y1 - 2016 UR - http://www.ncbi.nlm.nih.gov/pubmed/26873282 U6 - https://doi.org/10.1016/j.jbiomech.2015.11.013 SN - 0021-9290 VL - 49 IS - 4 SP - 520 EP - 527 PB - Elsevier ER -