Bayesian inverse tansient analysis for pipeline condition assessment: parameter estimation and uncertainty quantification

Zhang, Chi, Lambert, Martin F., Gong, Jinzhe, Zecchin, Aaron C., Simpson, Angus R. and Stephens, Mark L. 2020, Bayesian inverse tansient analysis for pipeline condition assessment: parameter estimation and uncertainty quantification, Water resources management, pp. 1-14, doi: 10.1007/s11269-020-02582-9.

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Title Bayesian inverse tansient analysis for pipeline condition assessment: parameter estimation and uncertainty quantification
Author(s) Zhang, Chi
Lambert, Martin F.
Gong, JinzheORCID iD for Gong, Jinzhe orcid.org/0000-0002-6344-5993
Zecchin, Aaron C.
Simpson, Angus R.
Stephens, Mark L.
Journal name Water resources management
Start page 1
End page 14
Total pages 14
Publisher Springer
Place of publication Dordrecht, The Netherlands
Publication date 2020
ISSN 0920-4741
1573-1650
Keyword(s) Markov chain Monte Carlo
Hydraulic transient
Inverse transient analysis
Uncertainty assessment
Pipeline condition assessment
Language eng
DOI 10.1007/s11269-020-02582-9
Indigenous content off
Field of Research MD Multidisciplinary
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139316

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