PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Marco Behrendt Co-author(s): Matthias G. R. Faes, matthias.faes@kuleuven.be
Marcos A. Valdebenito, marcos.valdebenito@uai.cl
Michael Beer, beer@irz.uni-hannover.de
| Capturing epistemic uncertainties in the power spectral density for limited data sets |
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| In stochastic dynamics, it is indispensable to model environmental processes in order to design structures safely or to determine the reliability of existing structures. Wind or earthquake loads are examples of these environmental processes and may be described by stochastic processes. This type of process can be characterised by means of the power spectral density (PSD) function in the frequency domain. With the PSD function governing frequencies and their amplitudes can be determined. For the reliable generation of such a load model described by a PSD function, the uncertainties that occur in time signals must be taken into account. In this paper, an approach is presented to derive an imprecise PSD model from a limited amount of data. The spectral densities at each frequency are described by intervals instead of relying on discrete values. The advantages of the imprecise PSD model are illustrated and validated with numerical examples in the field of stochastic dynamics. |
Paper BE100 Preview
Author and Presentation Info
Lead Author Name: Marco Behrendt (behrendt@irz.uni-hannover.de)
Bio:
Country: Germany
Company: Institute for Risk and Reliability, Leibniz Universität Hannover
Job Title: Research assistant
Bio:
Country: Germany
Company: Institute for Risk and Reliability, Leibniz Universität Hannover
Job Title: Research assistant