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Experimental evaluation and uncertainty quantification for a fractional viscoelastic model of salt concrete

Experimental evaluation and uncertainty quantification for a fractional viscoelastic model of... This study evaluates and analyzes creep testing results on salt concrete of type M2. The concrete is a candidate material for long-lasting structures for sealing underground radioactive waste repository sites. Predicting operational lifetime and security aspects for these structures requires specific constitutive equations to describe the material behavior. Thus, we analyze whether a fractional viscoelastic constitutive law is capable of representing the long-term creep and relaxation processes for M2 concrete. We conduct a creep test to identify the parameters of the fractional model. Moreover, we use the Bayesian inversion method to evaluate the identifiability of the model parameters and the suitability of the experimental setup to yield a reliable prediction of the concrete behavior. Particularly, this Bayesian analysis allows to incorporate expert knowledge as prior information, to account for limited experimental precision and finally to rigorously quantify the post-calibration uncertainty. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Mechanics of Time-Dependent Materials Springer Journals

Experimental evaluation and uncertainty quantification for a fractional viscoelastic model of salt concrete

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Publisher
Springer Journals
Copyright
Copyright © The Author(s) 2022
ISSN
1385-2000
eISSN
1573-2738
DOI
10.1007/s11043-021-09534-9
Publisher site
See Article on Publisher Site

Abstract

This study evaluates and analyzes creep testing results on salt concrete of type M2. The concrete is a candidate material for long-lasting structures for sealing underground radioactive waste repository sites. Predicting operational lifetime and security aspects for these structures requires specific constitutive equations to describe the material behavior. Thus, we analyze whether a fractional viscoelastic constitutive law is capable of representing the long-term creep and relaxation processes for M2 concrete. We conduct a creep test to identify the parameters of the fractional model. Moreover, we use the Bayesian inversion method to evaluate the identifiability of the model parameters and the suitability of the experimental setup to yield a reliable prediction of the concrete behavior. Particularly, this Bayesian analysis allows to incorporate expert knowledge as prior information, to account for limited experimental precision and finally to rigorously quantify the post-calibration uncertainty.

Journal

Mechanics of Time-Dependent MaterialsSpringer Journals

Published: Jan 19, 2022

Keywords: Creep test; Linear viscoelasticity; Fractional Zener model; Bayesian inversion

References