Probabilistic models for two soil erosion parameters needed to model the erodibility of water-retaining structures are developed. The models predict the values of the critical shear stress and the coefficient of erosion starting from other measurable soil properties. The models include both noncohesive and cohesive contributions to the erosion behavior. An importance sampling simulation method is parallelized to be implemented in parallel computing resources to calibrate the models and estimate the unknown parameters using laboratory data. The probabilistic models are then used to develop fragility curves that capture the vulnerability of a typical earth dam to internal erosion.

Probabilistic Models for Erosion Parameters and Reliability Analysis of Earth Dams and Levees

ANDREINI, MARCO;PAGLIARA, STEFANO;
2016-01-01

Abstract

Probabilistic models for two soil erosion parameters needed to model the erodibility of water-retaining structures are developed. The models predict the values of the critical shear stress and the coefficient of erosion starting from other measurable soil properties. The models include both noncohesive and cohesive contributions to the erosion behavior. An importance sampling simulation method is parallelized to be implemented in parallel computing resources to calibrate the models and estimate the unknown parameters using laboratory data. The probabilistic models are then used to develop fragility curves that capture the vulnerability of a typical earth dam to internal erosion.
2016
Andreini, Marco; Paolo, Gardoni; Pagliara, Stefano; Mauro, Sassu
File in questo prodotto:
File Dimensione Formato  
Probabilistic Models for Erosion Parameters and Reliability Analysis of ....pdf

solo utenti autorizzati

Descrizione: Articolo principale
Tipologia: Versione finale editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 2.76 MB
Formato Adobe PDF
2.76 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/809383
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? 18
social impact