Probabilistic analysis of flood embankment stability : the case study of the Adige River embankment in Italy
Amabile, Alessia and De Polo, Fabio and Tarantino, Alessandro (2020) Probabilistic analysis of flood embankment stability : the case study of the Adige River embankment in Italy. E3S Web of Conferences, 195. 01003. ISSN 2555-0403 (https://doi.org/10.1051/e3sconf/202019501003)
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Abstract
Flooding is a worldwide phenomenon. Over the last few decades the world has experienced a rising number of devastating flood events and the trend in such natural disasters is increasing. Furthermore, escalations in both the probability and magnitude of flood hazards are expected as a result of climate change. Flood defence embankments are one of the major flood defence measures and stability assessment for these structures is therefore a very important process. Traditional deterministic approaches to stability analysis do not allow taking into account and quantifying the uncertainties in soil characterisation. For this reason they may not be sufficient to capture the failure of flood embankments. The paper presents a probabilistic approach for the stability analysis of flood embankments taking into account the probabilistic distribution of soil hydro-mechanical properties. The approach is validated against the failure case study of the Adige river embankment in Italy, by comparing the probability of failure of two sections, within and outside the failure segment respectively.
ORCID iDs
Amabile, Alessia ORCID: https://orcid.org/0000-0001-6682-1926, De Polo, Fabio and Tarantino, Alessandro ORCID: https://orcid.org/0000-0001-6690-748X;-
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Item type: Article ID code: 75177 Dates: DateEvent16 October 2020Published1 June 2019AcceptedSubjects: Technology > Hydraulic engineering. Ocean engineering Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 27 Jan 2021 10:42 Last modified: 22 Sep 2024 01:11 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/75177