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Logo: Institut für Risiko und Zuverlässigkeit
Logo Leibniz Universität Hannover
Logo: Institut für Risiko und Zuverlässigkeit
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Beer, M.; Gong, Z.T.; Neumann, I.; Sriboonchitta, S.; Kreinovich, V. (2018): What If We Do Not Know Correlations?, In: Anh, L.H.; Dong, L.S.; Kreinovich, V.; Nguyen, N.T. (eds.), Econometrics for Financial Applications, Springer, Cham, Switzerland, pp 78-85
DOI: 10.1007/978-3-319-73150-6_5
ISBN: 978-3-319-73149-0


Mitseas, I.P; Kougioumtzoglou, I.A.; Giaralis, A.; Beer, M. (2018): A novel stochastic linearization framework for seismic demand estimation of hysteretic MDOF systems subject to linear response spectra, Structural Safety, 72: 84-98
DOI: 10.1016/j.strusafe.2017.12.008

Rocchetta, R.; Broggi, M.; Huchet, Q.; Patelli, E. (2018): On-line Bayesian model updating for structural health monitoring, Mechanical Systems and Signal Processing; 103: 174-195
DOI: 10.1016/j.ymssp.2017.10.015

Zhong, S.; Pantelous, A.A.; Beer, M.; Zhou, J. (2018): Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms, Mechanical Systems and Signal Processing, 104: 347-369
DOI: 10.1016/j.ymssp.2017.10.035

Berthold, T.; Milbradt, P.; Berkhahn, V. (2018): Valid approximation of spatially distributed grain size distributions – A priori information encoded to a feedforward network, Computers & Geosciences, 113: 23–32
DOI: 10.1016/j.cageo.2018.01.007

Comerford, L.A.; Mannis, A.; de Angelis, M.; Kougioumtzoglou, I.A.; Beer, M. (2018): Utilising database-driven interactive software to enhance independent home study in a flipped classroom setting: going beyond visualizing engineering concepts to ensuring formative assessment, European Journal of Engineering Education, 43(4), 522–537
DOI: 10.1080/03043797.2017.1293617

Rocchetta, R.; Broggi, M.; Patelli, E. (2018): Do we have enough data? Robust reliability via uncertainty quantification, Applied Mathematical Modelling, 54: 710-721
DOI: 10.1016/j.apm.2017.10.020

Zhang, D.M.; Du, F.; Huang, H.W.; Zhang, F.; Ayyub, B.M.; Beer, M. (2018): Resiliency Assessment of Urban Rail Transit Networks: Shanghai Metro as an Example, Safety Science, 106: 230-243

Zhang, Y.; Kim, C.-W.; Beer, M.; Dai, H.L.; Soares, C.G. (2018): Modeling multivariate ocean data using asymmetric copulas, Coastal Engineering, 135: 91-111
DOI: 10.1016/j.coastaleng.2018.01.008

Zhang, Y.J.; Comerford, L.A.; Kougioumtzoglou, I.A.; Beer, M. (2018): Lp-norm minimization for stochastic process power spectrum estimation subject to incomplete data, Mechanical Systems and Signal Processing, 101, 361–376
DOI: 10.1016/j.ymssp.2017.08.017


Mitseas I. P., Kougioumtzoglou I. A., Beer M. (2018): Nonlinear MDOF system non-stationary stochastic response determination via statistical linearization and complex modal analysis, Proceedings of the International Engineering Mechanics Institute Conference (EMI 2018), M.I.T., Cambridge MA, USA, 29 May - 1 June, 2018