Inspection of excess pressure propagation in the zone of gas entrapment below the capillary fringe

Montenegro, Héctor; Köhler, Hans-Jürgen; Holfelder, T.

doi:10.1007/3-540-26737-9_12

Cited by 3 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Observations in the field [3,1] and laboratory tests [1,4] show that soils below the ground water table are often in a quasi-saturated state. This has an influence on the behaviour of the pore fluid.…”

Section: Introductionmentioning

confidence: 99%

Numerical study on the influence of entrapped air bubbles on the time-dependent pore pressure distribution in soils due to external changes in water level

Ausweger

Schweiger

2016

E3S Web Conf.

View full text Add to dashboard Cite

Abstract. In practical geotechnical engineering soils below the groundwater table are usually regarded as a two-phase medium, consisting of solids and water. The pore water is assumed to be incompressible. However, under certain conditions soils below the groundwater table may exhibit a liquid phase consisting of water and air. The air occurs in form of entrapped air bubbles and dissolved air. Such conditions are named quasi-saturated and the assumption of incompressibility is no longer justified. In addition the entrapped air bubbles influence the hydraulic conductivity of soils. These effects are usually neglected in standard problems of geotechnical engineering. However, sometimes it is required to include the pore fluid compressibility when modelling the hydraulic behaviour of soils in order to be able to explain certain phenomena observed in the field. This is for example true for fast fluctuating water levels in reservoirs. In order to study these phenomena, numerical investigations on the influence of the pore fluid compressibility on the pore water pressure changes in a soil layer beneath a reservoir with fast fluctuating water levels were performed. Preliminary results of this study are presented and it could be shown that numerical analysis and field data are in good agreement.

show abstract