In this study, a backpropagation neural network algorithm was developed in order to predict the liquefaction cyclic resistance ratio (CRR) of sand-silt mixtures. A database, consisting of sufficient published data of ...In this study, a backpropagation neural network algorithm was developed in order to predict the liquefaction cyclic resistance ratio (CRR) of sand-silt mixtures. A database, consisting of sufficient published data of laboratory cyclic triaxial, torsional shear and simple shear tests results, was collected and utilized in the ANN model. Several ANN models were developed with different sets of input parameters in order to determine the model with best performance and preciseness. It has been illustrated that the proposed ANN model can predict the measured CRR of the different data set which was not incorporated in the developing phase of the model with the good degree of accuracy. The subsequent sensitivity analysis was performed to compare the effect of each parameter in the model with the laboratory test results. At the end, the participation or relative importance of each parameter in the ANN model was obtained.展开更多
目的针对国内处理原料气在气质较富时乙烷回收装置单一、产物回收率低的问题,在原有工艺冷干气回流流程(cold residue reflux process,CRR)的基础上提出两种高效乙烷回收流程,即带闪蒸的冷干气回流流程(cold residue reflux process wit...目的针对国内处理原料气在气质较富时乙烷回收装置单一、产物回收率低的问题,在原有工艺冷干气回流流程(cold residue reflux process,CRR)的基础上提出两种高效乙烷回收流程,即带闪蒸的冷干气回流流程(cold residue reflux process with flash evaporator,CRR-FE)和部分原料气过冷分离的冷干气回流流程(cold residue reflux process with feed subcooled,CRR-PS)。方法在保证乙烷回收率高于95%的条件下,利用HYSYS软件模拟改进工艺流程,设置了3组逐渐变富的气质对CRR及改进流程进行了综合能耗和火用分析对比。结果改进后的流程有很好的节能效果,其中CRR-PS流程节能效果明显,在GPM值为4.3时,CRR-PS流程综合能耗节约了9.4%。3种流程火用损最大为主体设备压缩机中的外输压缩机,其次是塔设备中脱甲烷塔和丙烷制冷,最后是换热器、空冷器及水冷器;改进后的流程性能很好,整体火用效率在80%以上,总火用效率排序为CRR-PS>CRR-FE>CRR;当GPM值为4.3时,CRR-PS火用损为28471 kW,相比于CRR降低了3.9%,表明CRR-PS火用损失较少,有很好的节能潜力。结论CRR-PS流程对富气适应性更强,节能效果更好。展开更多
文摘In this study, a backpropagation neural network algorithm was developed in order to predict the liquefaction cyclic resistance ratio (CRR) of sand-silt mixtures. A database, consisting of sufficient published data of laboratory cyclic triaxial, torsional shear and simple shear tests results, was collected and utilized in the ANN model. Several ANN models were developed with different sets of input parameters in order to determine the model with best performance and preciseness. It has been illustrated that the proposed ANN model can predict the measured CRR of the different data set which was not incorporated in the developing phase of the model with the good degree of accuracy. The subsequent sensitivity analysis was performed to compare the effect of each parameter in the model with the laboratory test results. At the end, the participation or relative importance of each parameter in the ANN model was obtained.
文摘目的针对国内处理原料气在气质较富时乙烷回收装置单一、产物回收率低的问题,在原有工艺冷干气回流流程(cold residue reflux process,CRR)的基础上提出两种高效乙烷回收流程,即带闪蒸的冷干气回流流程(cold residue reflux process with flash evaporator,CRR-FE)和部分原料气过冷分离的冷干气回流流程(cold residue reflux process with feed subcooled,CRR-PS)。方法在保证乙烷回收率高于95%的条件下,利用HYSYS软件模拟改进工艺流程,设置了3组逐渐变富的气质对CRR及改进流程进行了综合能耗和火用分析对比。结果改进后的流程有很好的节能效果,其中CRR-PS流程节能效果明显,在GPM值为4.3时,CRR-PS流程综合能耗节约了9.4%。3种流程火用损最大为主体设备压缩机中的外输压缩机,其次是塔设备中脱甲烷塔和丙烷制冷,最后是换热器、空冷器及水冷器;改进后的流程性能很好,整体火用效率在80%以上,总火用效率排序为CRR-PS>CRR-FE>CRR;当GPM值为4.3时,CRR-PS火用损为28471 kW,相比于CRR降低了3.9%,表明CRR-PS火用损失较少,有很好的节能潜力。结论CRR-PS流程对富气适应性更强,节能效果更好。
