strength prediction
4.Acoustic Emission Monitoring and Remainder Strength Prediction of F-12 Aramid Fiber Wound Case in Hydraulic test
5.The averaged absolute deviation of 24h strength prediction using the CMA and RSMC Tokyo data/CMA and JTWC data is 2.5/4.0 m/s,with the maximum deviation reaching 16/21 m/s,respectively.
6.The strength prediction formula proposed in this study can be used for predicting the change in unconfined compressive strength with the variation of water content, cement content and curing time, based on the laboratory test result of the cemented clay with 28days of curing time for only a given quasi-water-cement ratio.
8.When Barton′s ?JRC JCS? shear strength criterion was used for the interpretation and prediction of shear strength of natural joints, it was found that the ?JRC JCS? model tends to over predict the shear strength for those natural joints with less matched surfaces.
10.In this paper, a method for predicting the shear strength of rock joints with Artificial Neural Networks (ANN) and determining the influence of input factors in neural networks on the shear strength with Relative Strength of Effect(RSE) is presented. ANN training and parameter prediction are conducted according to the data of photoelastic tests and mechanical properties of the fractal joint.
