@article{AlkamLahmer,
  author    = {Alkam, Feras and Lahmer, Tom},
  title     = {Eigenfrequency-Based Bayesian Approach for Damage Identification in Catenary Poles},
  series = {Infrastructures},
  volume    = {2021},
  journal   = {Infrastructures},
  number    = {Volume 6, issue 4, article 57},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/infrastructures6040057},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210510-44256},
  pages     = {1 -- 19},
  abstract  = {This study proposes an efficient Bayesian, frequency-based damage identification approach to identify damages in cantilever structures with an acceptable error rate, even at high noise levels. The catenary poles of electric high-speed train systems were selected as a realistic case study to cover the objectives of this study. Compared to other frequency-based damage detection approaches described in the literature, the proposed approach is efficiently able to detect damages in cantilever structures to higher levels of damage detection, namely identifying both the damage location and severity using a low-cost structural health monitoring (SHM) system with a limited number of sensors; for example, accelerometers. The integration of Bayesian inference, as a stochastic framework, in the proposed approach, makes it possible to utilize the benefit of data fusion in merging the informative data from multiple damage features, which increases the quality and accuracy of the results. The findings provide the decision-maker with the information required to manage the maintenance, repair, or replacement procedures.},
  subject      = {Fahrleitung},
  language  = {en}
}
@article{KreibichPirothSeifertetal.,
  author    = {Kreibich, H. and Piroth, K. and Seifert, I. and Maiwald, Holger and Kunert, U. and Schwarz, Jochen and Merz, B. and Thieken, A. H.},
  title     = {Is flow velocity a significant parameter in flood damage modelling?},
  series = {Natural Hazards and Earth System Science},
  journal   = {Natural Hazards and Earth System Science},
  doi       = {10.25643/bauhaus-universitaet.3145},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170425-31455},
  pages     = {1679 -- 1692},
  abstract  = {Flow velocity is generally presumed to influence flood damage. However, this influence is hardly quantified and virtually no damage models take it into account. Therefore, the influences of flow velocity, water depth and combinations of these two impact parameters on various types of flood damage were investigated in five communities affected by the Elbe catchment flood in Germany in 2002. 2-D hydraulic models with high to medium spatial resolutions were used to calculate the impact parameters at the sites in which damage occurred. A significant influence of flow velocity on structural damage, particularly on roads, could be shown in contrast to a minor influence on monetary losses and business interruption. Forecasts of structural damage to road infrastructure should be based on flow velocity alone. The energy head is suggested as a suitable flood impact parameter for reliable forecasting of structural damage to residential buildings above a critical impact level of 2m of energy head or water depth. However, general consideration of flow velocity in flood damage modelling, particularly for estimating monetary loss, cannot be recommended.},
  subject      = {Str{\"o}mungsgeschwindigkeit},
  language  = {en}
}