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Browsing Fakultät für Bauingenieurwesen und Geodäsie by Subject "Uncertainty quantification"

Now showing items 1-7 of 7

Distribution-free stochastic simulation methodology for model updating under hybrid uncertainties

Kitahara, Masaru (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022)

In the real world, a significant challenge faced in the safe operation and maintenance of infrastructures is the lack of available information or data. This results in a large degree of uncertainty and the requirement for ...
Do we have enough data? Robust reliability via uncertainty quantification

Rocchetta, Roberto; Broggi, Matteo; Patelli, Edoardo (Amsterdam [u.a.] : Elsevier Science, 2018)

A generalised probabilistic framework is proposed for reliability assessment and uncertainty quantification under a lack of data. The developed computational tool allows the effect of epistemic uncertainty to be quantified ...
Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signals

Bittner, Marius; Behrendt, Marco; Beer, Michael (Amsterdam [u.a.] : Elsevier, 2024)

The identification of patterns and underlying characteristics of natural or engineering time-varying phenomena poses a challenging task, especially in the scope of simulation models and accompanying stochastic models. ...
Scaling Effects in Spatial Multi-Criteria Decision Aggregation in Integrated River Basin Management

Taha, Rania; Dietrich, Jörg; Dehnhardt, Alexandra; Hirschfeld, Jesko (Basel : MDPI, 2019)

For river basin management plans (RBMPs), measures are aggregated from smaller spatial units (e.g., water bodies) to the catchment or basin scale. River basin management plans measures in integrated management are evaluated ...
Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial

Bi, Sifeng; Beer, Michael; Cogan, Scott; Mottershead, John (Amsterdam [u.a.] : Elsevier, 2023)

This paper presents an overview of the theoretic framework of stochastic model updating, including critical aspects of model parameterisation, sensitivity analysis, surrogate modelling, test-analysis correlation, parameter ...
Stochastic virtual element methods for uncertainty propagation of stochastic linear elasticity

Zheng, Zhibao; Nackenhorst, Udo (Berlin ; Heidelberg : Springer, 2023)

This paper presents stochastic virtual element methods for propagating uncertainty in linear elastic stochastic problems. We first derive stochastic virtual element equations for 2D and 3D linear elastic problems that may ...
Uncertainty modelling in power spectrum estimation of environmental processes

Behrendt, Marco (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022)

For efficient reliability analysis of buildings and structures, robust load models are required in stochastic dynamics, which can be estimated in particular from environmental processes, such as earthquakes or wind loads. ...

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Browsing Fakultät für Bauingenieurwesen und Geodäsie by Subject "Uncertainty quantification"

Browsing Fakultät für Bauingenieurwesen und Geodäsie by Subject "Uncertainty quantification"

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