依據現有水文地質調查與監測資料顯示，台灣中南部地區地層沉陷部分來自於含水層，且已有研究指出不可忽視粉土質砂土其因地下水位升降造成之壓縮量，本研究以高壓Ko壓密系統，以不同細粒料含量之麥寮砂下不同孔隙比之試體進行週期性孔隙水壓波動壓縮試驗，另亦施作等速率應變壓縮試驗，將兩者試驗結果加以比較，可得知麥寮砂因受反覆載重與單向載重之壓縮特性，並且量化因週期性孔隙水壓波動造成之壓縮量，建立麥寮砂因週期性孔隙水壓波動之壓縮預測模式。經過驗證後得本研究建立之預測模式，其各階孔隙水壓波動預測結果皆位於誤差百分比20%上下，因此本研究建立之預測模式具有一定可靠性。

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.

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