A Finite Element Analysis of Diaphragm Wall Performance Embedded in Black Cotton Soil Using Plaxis 2D
摘要
Diaphragm walls are commonly used in geotechnical engineering to provide lateral support for excavations. However, when embedded in black cotton soil (BCS), specific challenges and problems may arise. BCS can be highly cohesive and sticky when wet, making excavation challenging. The soil may adhere to the diaphragm wall panels, complicating the construction process. Black cotton soil's swelling and shrinkage behavior can lead to unpredictable lateral earth pressures on the diaphragm wall. This can affect the excavation's stability and the wall's structural integrity. This article analyzes diaphragm wall performance embedded in BCS stabilized with rice husk ash (RHA) using commercially available software Plaxis 2D. Rice husk ash, a by-product of rice milling, was chosen as the stabilizing agent due to its recognized potential to enhance soil properties. The paper deals with how adding RHA to BCS will help reduce lateral displacement of the embedded diaphragm wall. The present study also explores the influence of RHA, added in percentages of 3%, 6%, 9%, 12%, and 15%, on critical parameters such as bending moment, pore water pressure, and shear forces. A reduction of nearly 21.82% was observed in the bending moment generated in the diaphragm wall at 6% RHA content. By employing finite element analysis (FEA), the study aims to simulate and analyze the complex interactions within the soil matrix and the diaphragm wall under different scenarios. FEA aids in analyzing soil-structure interaction problems with precision by discretizing complex systems into more minor, manageable elements. The findings from the study will not only enhance our understanding of the complex interactions within the soil-structure system but also suggest an optimum RHA percentage for achieving improved stability and performance. It will also enable engineers to simulate complex soil-structure interactions, assessing stress and deformation using FEA. Ultimately, utilizing RHA will also offer a sustainable solution for managing vast quantities of RHA produced annually.