Establishment of Localized Utilization Parameters for Numerical Simulation Analysis Applied to Deep Excavations

Author:

Wu Chien-Yi1,Hsu Chia-Feng2ORCID

Affiliation:

1. Kenkul Corporation Company, New Taipei City 23444, Taiwan

2. Department of Civil Engineering, ChienKuo Technology University, Changhua City 500020, Taiwan

Abstract

The aim of this study was to apply deep excavation behavior prediction models in the geotechnical field to establish localized soil parameters for gravel layers. Common software tools, including PLAXIS and SoilWorks, were used extensively. Monitoring data from deep excavation cases related to gravel layers in the Xindian area of Taiwan were collected. In the background analysis, the deformation of the retaining walls was used instead of parameters typically used in deep excavation analysis. This was performed to provide the ideal range recommendations for the input parameters when conducting a numerical simulation analysis of the Xindian District stratum or similar strata. The assessment results show that when setting the fifth layer of gravel to SPT-N = 100, PLAXIS suggested a soil elastic modulus range of 7840 N to 9800 N per square meter (kN/m2), while SoilWorks recommended a range of 2450 N to 3430 N per square meter (kN/m2). These ranges allow for a reasonable estimation of the maximum wall deformation during the final excavation stage. Based on the research findings, it is recommended that when conducting an excavation analysis in gravel layers in the Xindian area of Taiwan or in similar strata, engineers should refer to the abovementioned recommended ranges when selecting the soil elastic modulus for different software programs. This will enhance the accuracy of the deformation predictions during the final excavation stage.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference50 articles.

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2. Liu, Z.L. (1994). Seismic Microzonation Map of Taipei Basin. [Master’s Thesis, National Central University].

3. Li, X.H. (1996). Engineering Geological Zoning of Taipei City. Geotech. Technol., 25–34.

4. PLAXIS BV (2006). Plaxis Version 8 Manual, Delft University of Technology & PLAXIS b.v.

5. Huang, C.Y. (2002). Application of Neural Networks in Predicting Deformation of Deep Excavation Walls. [Master’s Thesis, National Taiwan Ocean University].

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