Optimum Design of Hybrid Excavation Support System in Cohesionless Sand Using 2D and 3D Finite Element Analysis

The stability of deep excavations in cohesionless soils depends strongly on groundwater conditions and excavation geometry. Two-dimensional analyses, although widely applied, often fail to capture three-dimensional effects, leading to conservative designs. This study investigates an optimum hybrid support system; secant pile walls combined with prestressed tie-back anchors, through a three-stage methodology: A limit equilibrium analysis, followed by finite element simulations in PLAXIS 2D and PLAXIS 3D. A total of 81 scenarios were analyzed, considering soil density (loose, medium, stiff sands), surcharge loading (30 to 90 kN/m²), excavation depths (6 to 18 m), and groundwater levels. The results show that groundwater level is the dominant factor governing anchor demand, with normalized anchor consumption (β) increasing significantly as the water table rises. The hybrid system ensured stability across soil types by mobilizing pile resistance at depth and anchor efficiency against lateral displacement. Comparisons between 2D and 3D models revealed substantial differences: wall deformations predicted by 3D analyses were up to 62% smaller for 20 m wide excavations, 36% for 30 m, and 9% smaller for 50 m. Bending moments also decreased by as much as 62% in narrow excavations. The findings demonstrate that 3D modeling provides a more realistic representation of excavation performance. Moreover, the proposed β ratio further assists in evaluating anchor efficiency, helping prevent over-design while ensuring safety.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-20
DOI
https://doi.org/10.5281/zenodo.17167731
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimum Design of Hybrid Excavation Support System in Cohesionless Sand Using 2D and 3D Finite Element Analysis

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Optimum Design of Hybrid Excavation Support System in Cohesionless Sand Using 2D and 3D Finite Element Analysis

article en

Abstract

The stability of deep excavations in cohesionless soils depends strongly on groundwater conditions and excavation geometry. Two-dimensional analyses, although widely applied, often fail to capture three-dimensional effects, leading to conservative designs. This study investigates an optimum hybrid support system; secant pile walls combined with prestressed tie-back anchors, through a three-stage methodology: A limit equilibrium analysis, followed by finite element simulations in PLAXIS 2D and PLAXIS 3D. A total of 81 scenarios were analyzed, considering soil density (loose, medium, stiff sands), surcharge loading (30 to 90 kN/m²), excavation depths (6 to 18 m), and groundwater levels. The results show that groundwater level is the dominant factor governing anchor demand, with normalized anchor consumption (β) increasing significantly as the water table rises. The hybrid system ensured stability across soil types by mobilizing pile resistance at depth and anchor efficiency against lateral displacement. Comparisons between 2D and 3D models revealed substantial differences: wall deformations predicted by 3D analyses were up to 62% smaller for 20 m wide excavations, 36% for 30 m, and 9% smaller for 50 m. Bending moments also decreased by as much as 62% in narrow excavations. The findings demonstrate that 3D modeling provides a more realistic representation of excavation performance. Moreover, the proposed β ratio further assists in evaluating anchor efficiency, helping prevent over-design while ensuring safety.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Openalex Percentile: Top 33%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.