Evaluation of relative density effects on liquefiable sands using PM4Sand model

A. Laera, G. Vilhar, S. Brasile, Ronald Brinkgreve

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
182 Downloads (Pure)

Abstract

When saturated soils are subjected to an earthquake, the excess pore pressuresincrease, and, in the case of sands, this may cause liquefaction. To simulate the behaviour of saturated sands under cyclic loading, the PM4Sand constitutive model (version 3.1) formulated by Boulanger & Ziotopoulou (2017), is used. The PM4Sand model represents an improvement of the elasto-plastic, stress ratio controlled, bounding surface plasticity model formulated by Dafalias & Manzari (2004). The model can realistically reproduce the pore pressure build-up, accumulation of strain as well as triggering of liquefaction. In this paper, the effect of different relative densities on liquefaction resistance is evaluated by comparing the results of a site response analysis performed on a soil column characterized by a saturated sand layer and subjected to given earthquake signals. The analyses are performed using the finite element code PLAXIS.
Original languageEnglish
Title of host publicationEarthquake Geotechnical Engineering for Protection and Development of Environment and Constructions
Subtitle of host publicationProceedings of the 7th International Conference on Earthquake Geotechnical Engineering, 2019
EditorsFrancesco Silvestri, Nicola Moraci
Place of PublicationRome
PublisherAssociazione Geotecnica Italiana
Pages3529-3535
Number of pages7
ISBN (Print)978-0-367-14328-2
Publication statusPublished - 2019
Event7th International Conference on Earthquake Geotechnical Engineering - Rome, Italy
Duration: 17 Jun 201920 Jun 2019
http://www.7icege.com/

Conference

Conference7th International Conference on Earthquake Geotechnical Engineering
Abbreviated title7ICEGE
Country/TerritoryItaly
CityRome
Period17/06/1920/06/19
Internet address

Fingerprint

Dive into the research topics of 'Evaluation of relative density effects on liquefiable sands using PM4Sand model'. Together they form a unique fingerprint.

Cite this