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Analysis of ground deformation development and settlement prediction by air-boosted vacuum preloading
- Source :
- Journal of Rock Mechanics and Geotechnical Engineering, Vol 14, Iss 1, Pp 272-288 (2022)
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Vacuum preloading has been widely used to improve soft soils in coastal areas of China. An increasing amount of evidence from field operations has shown that conventional vacuum preloading is prone to clogging in prefabricated vertical drains (PVDs) and demands a large volume of sand fills. In recent years, air-boosted vacuum preloading has been developed to overcome these limitations; however, this method still requires more data to verify its performance. In this study, a field test for air-boosted vacuum preloading was conducted, and a large-strain two-dimensional (2D) finite element (FE) model was developed and validated against the field test data. Then, a series of FE parametric analyses was performed to assess key factors, i.e. the air injection pressure, the injection spacing, and the characteristics of cyclic injection, which affect the performance of the air-boosted vacuum preloading. The results showed that the ground settlement and lateral displacement of the soils increased due to an increase in the injection pressure, a decrease in the injection spacing, or increases in the number and duration of the injection cycles. Based on the parametric analyses, an empirical formula for ground settlement prediction was proposed and compared with a case history reported in the literature, showing good agreement.
- Subjects :
- Ground improvement
Settlement
Soft soils
Settlement (structural)
Engineering geology. Rock mechanics. Soil mechanics. Underground construction
Deformation (meteorology)
Geotechnical Engineering and Engineering Geology
Finite element method
Clogging
Volume (thermodynamics)
Air-boosted vacuum preloading
Field test
Numerical modeling
Empirical formula
TA703-712
Environmental science
Geotechnical engineering
Secondary air injection
Test data
Subjects
Details
- ISSN :
- 16747755
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Journal of Rock Mechanics and Geotechnical Engineering
- Accession number :
- edsair.doi.dedup.....f814bf2eb0442314d15d15f516bd75f0