Journal of Applied Mathematics / 2012 / Article / Tab 2

Research Article

A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground

Table 2

Soil constants for inhomogeneous subsidence simulation.

Layer 𝐢 𝑐 (kN/m2) 𝑒 0 𝑝 𝑐 (kN/m2) 𝑐 𝑣 (cm2/day)
EVSDEVSDEVCVEVlog 𝑐 𝑣 log 𝑐 𝑣 SD

Ac10.450.071.340.17700.36993βˆ’4.260.29
Ac20.410.061.210.11590.331025βˆ’4.150.09
Ac30.730.111.840.22950.49759βˆ’4.400.33
Ac40.870.082.090.15900.39787βˆ’4.320.23
Ac50.740.211.910.39990.441103βˆ’4.200.26
Ac60.310.121.170.221390.083435βˆ’3.630.09
Dc10.440.131.320.301740.711680βˆ’3.950.14
Dc20.570.161.540.271440.671945βˆ’4.010.34
Dc30.660.121.580.191350.661000βˆ’4.270.29
Dc40.700.251.640.671860.651002βˆ’4.231.66

Noteβ€”EV: expected value, SD: standard deviation, CV: coefficient of variation. For Ac1–Ac6, the alluvial clay ground layer was divided into 6 layers in the depth direction from categorization of soil characteristics, acquired from boring test results and lab consolidation test results, and the layers were numbered from the top layer to the bottom layer. Similarly, for Dc1–Dc4 also, according to the categorization of soil characteristics, the diluvial clay ground layers were numbered from the top layer to the bottom layer.

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