研究黏性土中桩土界面的抗剪强度及其参数受超孔隙水压力影响的规律,对工程实践具有重要意义。利用自制的大型恒刚度直剪仪,完成了一系列不同界面粗糙度、不同试样含水率和不同剪切速率试验条件下的直剪试验,分析了在不同试验条件下超...研究黏性土中桩土界面的抗剪强度及其参数受超孔隙水压力影响的规律,对工程实践具有重要意义。利用自制的大型恒刚度直剪仪,完成了一系列不同界面粗糙度、不同试样含水率和不同剪切速率试验条件下的直剪试验,分析了在不同试验条件下超孔隙水压力变化规律,进而得到考虑超孔隙水压力的桩土界面抗剪强度及其参数的变化规律。研究结果表明:随着界面粗糙度等级提高,桩土界面超孔隙水压力减小,桩土界面抗剪强度、有效黏聚力和有效摩擦系数增加;随着含水率的增加,桩土界面超孔隙水压力增加,桩土界面抗剪强度降低,含水率对桩土界面抗剪强度的影响主要是改变了桩土界面的黏聚力,黏聚力先增大后减小,对摩擦系数的影响较小;特定试验条件下,随着剪切速率的增加,桩土界面超孔隙水压力增加,桩土界面抗剪强度降低,桩土界面黏聚力先增大后又减小,变化幅度不超过2 k Pa,对摩擦系数的影响较小。因此,桩土界面抗剪强度及其参数是界面粗糙度、试样含水率和剪切速率变化引起超孔隙水压力变化共同影响的结果,试验结果可供相关工程设计参考。展开更多
This paper presents a smart compensation system based on MCA7707 (a kind of signal processor). The li near errors and high order errors of a sensor (especially piezoresistive sensor) can be corrected by using this s...This paper presents a smart compensation system based on MCA7707 (a kind of signal processor). The li near errors and high order errors of a sensor (especially piezoresistive sensor) can be corrected by using this system. It can optimize the process of piezoresi stive sensor calibration and compensation, then, a total error factor within 0.2 % of the sensor′s repeatability errors is obtained. Data are recorded and coeff icients are determined automatically by this system, thus, the sensor compensati on is simplified greatly. For operating easily, a wizard compensation program is designed to correct every error and to get the optimum compensation.展开更多
文摘研究黏性土中桩土界面的抗剪强度及其参数受超孔隙水压力影响的规律,对工程实践具有重要意义。利用自制的大型恒刚度直剪仪,完成了一系列不同界面粗糙度、不同试样含水率和不同剪切速率试验条件下的直剪试验,分析了在不同试验条件下超孔隙水压力变化规律,进而得到考虑超孔隙水压力的桩土界面抗剪强度及其参数的变化规律。研究结果表明:随着界面粗糙度等级提高,桩土界面超孔隙水压力减小,桩土界面抗剪强度、有效黏聚力和有效摩擦系数增加;随着含水率的增加,桩土界面超孔隙水压力增加,桩土界面抗剪强度降低,含水率对桩土界面抗剪强度的影响主要是改变了桩土界面的黏聚力,黏聚力先增大后减小,对摩擦系数的影响较小;特定试验条件下,随着剪切速率的增加,桩土界面超孔隙水压力增加,桩土界面抗剪强度降低,桩土界面黏聚力先增大后又减小,变化幅度不超过2 k Pa,对摩擦系数的影响较小。因此,桩土界面抗剪强度及其参数是界面粗糙度、试样含水率和剪切速率变化引起超孔隙水压力变化共同影响的结果,试验结果可供相关工程设计参考。
文摘This paper presents a smart compensation system based on MCA7707 (a kind of signal processor). The li near errors and high order errors of a sensor (especially piezoresistive sensor) can be corrected by using this system. It can optimize the process of piezoresi stive sensor calibration and compensation, then, a total error factor within 0.2 % of the sensor′s repeatability errors is obtained. Data are recorded and coeff icients are determined automatically by this system, thus, the sensor compensati on is simplified greatly. For operating easily, a wizard compensation program is designed to correct every error and to get the optimum compensation.
