eCite Digital Repository

Numerical prediction of the dynamic behaviour of two earth dams in Italy using a fully-coupled non-linear approach


Elia, G and Amorosi, A and Chan, AHC and Kavvadas, MJ, Numerical prediction of the dynamic behaviour of two earth dams in Italy using a fully-coupled non-linear approach, International Journal of Geomechanics, 11 pp. 504-518. ISSN 1532-3641 (2011) [Refereed Article]


Copyright Statement

2011 American Society of Civil Engineers

DOI: doi:10.1061/(ASCE)GM.1943-5622.0000043


The paper deals with the seismic stability assessment of two existing earth dams in Italy using a fully coupled effective stress nonlinear approach implemented in a finite-element (FE) code. The mechanical behavior of the involved clayey and granular soils is described through advanced elastoplastic constitutive models, calibrated on laboratory and in situ test results. Before the application of the seismic motions, appropriate FE static analyses are performed in both cases to define the initial stress state and the internal variables of the material models. The stability of both dams during dynamic loading is proved by inspection of the cumulated horizontal and vertical displacement time histories of the monitored solid nodes, which become constant immediately after the end of the seismic actions. Moreover, the computed crest settlements induced by the earthquakes are considerably smaller than the service freeboard of the dams. Because the applied seismic actions are characterized by high return periods, the presented results are indicative of a satisfactory dynamic performance of the two embankments during extreme dynamic loading conditions.

Item Details

Item Type:Refereed Article
Keywords:embankment stability, earthquake loads, constitutive models, finite element method, soil dynamics
Research Division:Engineering
Research Group:Civil engineering
Research Field:Civil geotechnical engineering
Objective Division:Construction
Objective Group:Construction processes
Objective Field:Civil construction processes
UTAS Author:Chan, AHC (Professor Andrew Chan)
ID Code:103308
Year Published:2011
Web of Science® Times Cited:17
Deposited By:Office of the School of Engineering
Deposited On:2015-10-02
Last Modified:2018-09-06
Downloads:75 View Download Statistics

Repository Staff Only: item control page