Numerical Simulation of Deep Excavation

• Main Authors: Wu, Chien-Yi, 吳建逸
• Other Authors: Chern, Shuh-Gi
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/33250166364833596162

博士 === 國立臺灣海洋大學 === 河海工程學系 === 104 === Before design and construction of deep excavation, for the sake of construction safety and protection of adjacent buildings, prediction and measurement of diaphragm wall deflection are very important so as to avoid failures of the supporting system. This paper attempts to predict the diaphragm wall deflection in deep excavation by using multilayer function-link neural network（MFLN） learning model. 17 case histories of deep excavation from construction projects are collected for training and verification. From the results of this research, it is shown that the MFLN model can reasonably predict both magnitude and location of the maximum deflection of the braced wall in deep excavation. In addition, this study analyzed gravel excavation cases in the Xindian District in Taiwan. The retaining wall deformation was used (instead of parameters usually employed in deep excavation analysis) in a back analysis for providing suggestions regarding the ideal range of the soil elastic modulus for numerical simulation analysis parameters in the Xindian District stratum or in strata similar to that in the Xindian District. This study used the PLAXIS and SoilWorks program to analyze the gravel layer in the district. The assessment results indicated PLAXIS program the range of the soil elastic modulus was set between 7.84N and 9.8N MPa. SoilWorks program the range of the soil elastic modulus was set between 2.45N and 3.43N MPa., the maximum deformation of the wall in the final excavation stage was reasonably estimated.