Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Although energy piles are used worldwide as an environmentally friendly foundation technology, quantifying the uncertainties in their thermomechanical performance is still challenging. To properly address these uncertainties, a probabilistic version of energy pile model is needed in practice. In this study, the load-transfer method-based geotechnical design model for energy piles is probabilistically calibrated under the Bayesian framework. Based on the load-transfer method, a deterministic design model for energy piles is developed to predict the thermomechanical behavior of energy piles. Considering the cross-site variability among different sites, the observation data from several widely reported energy pile case histories are adopted to characterize the model bias factor. The Bayesian calibration is realized by using the hybrid Markov chain Monte Carlo sampling.
Although energy piles are used worldwide as an environmentally friendly foundation technology, quantifying the uncertainties in their thermomechanical performance is still challenging. To properly address these uncertainties, a probabilistic version of energy pile model is needed in practice. In this study, the load-transfer method-based geotechnical design model for energy piles is probabilistically calibrated under the Bayesian framework. Based on the load-transfer method, a deterministic design model for energy piles is developed to predict the thermomechanical behavior of energy piles. Considering the cross-site variability among different sites, the observation data from several widely reported energy pile case histories are adopted to characterize the model bias factor. The Bayesian calibration is realized by using the hybrid Markov chain Monte Carlo sampling.
Bayesian Model Calibration for Geotechnical Design of Energy Piles
Geo-Congress 2020 ; 2020 ; Minneapolis, Minnesota
Geo-Congress 2020 ; 677-685
21.02.2020
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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