Prediction model for compression of saturated silty sands induce by pore water pressure fluctuations

Abstract

Based on field monitoring data in central western Taiwan Hung et al (2012) reported that compression in aquifer layers is the major source of ground subsidence and the compression of silty sands due to fluctuations in pore water pressure is important in this subject Therefore the purpose of this study is to clarify the compression mechanism of the pore water pressure fluctuations of the Mai Liao Sand (MLS) with different fines content and to establish a prediction model for the compression of saturated MLS induce by pore water pressure fluctuations This study used a Periodic Pore Water Pressure Fluctuations Compression Test to measure of repeated loading compression of MLS The testing results reveal that the compressibility of saturated MLS due to pore water pressure fluctuations is significant and the behaviors agree with the shakedown theory Then used a Constant Rate of Strain (CRS) Compression Test to measure of one-dimensional loading compression of MLS Comparing the test results shows that the maximum ratio between the plastic strain of the repeated loading and the plastic strain of the one-dimensional loading is over 8 Then used the test results as a database to establish prediction model In the final prediction model for the compression of saturated MLS induce by pore water pressure fluctuations the percentage deviation of the prediction results is about 20 so the prediction model is reliable

Date of Award	2019
Original language	English
Supervisor	Wen-Jong Chang (Supervisor)