| A neural network method to evaluate consolidation coefficient |
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| 作者姓名： | 陈建功 |
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| 作者单位： | College of |
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| 摘 要： | 1. Introduction Settlement of soil is generally caused by load, although other causes such as lowering of the water table, vibrations and so on may also cause settlement. At the meantime, the soil volume is decreased ,so consolidation occurs. Consolidation is a time-related process involving compression, stress transfer, and water drainage. A general consolidation theory of soils should take into consideration stress and strain conditions in three dimensions. Accounting for the wide variation…
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A neural network method to evaluate consolidation coefficient |
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| CHEN Jiangong,ZHANG Yongxing College of Civil Engineering,Chongqing University,Chongqing,P.R. China.A neural network method to evaluate consolidation coefficient[J].Journal of Chongqing University,2003,2(1). |
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| Authors: | CHEN Jiangong ZHANG Yongxing College of Civil Engineering Chongqing University Chongqing PR China |
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| Institution: | College of Civil Engineering, Chongqing University, Chongqing 400045, P.R. China |
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| Abstract: | Many methods to calculate the consolidation coefficient of soil depend on judgment of testing curves of consolidation, and the calculation result is influenced by artificial factors. In this work, based on the main principle of back propagation neural network, a neural network model to determine the consolidation coefficient is established. The essence of the method is to simulate a serial of compression ratio and time factor curves because the neural network is able to process the nonlinear problems. It is demonstrated that this BP model has high precision and fast convergence. Such method avoids artificial influence factor successfully and is adapted to computer processing. |
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| Keywords: | consolidation neural network back propagation algorithm |
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