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在锚板抗拉破坏试验中,运用现有的试验设备和数据采集系统完成试验和数据采集的情况较多,但只能测量上拔力和位移。利用图像对锚板上拔过程中的变形进行测量时,必须要求上拔力、锚板位移以及图像的一一对应,这一特殊条件对于传统的试验装置和数据采集系统无法实现。本文基于Labview图形化语言开发环境,开发了力、位移、图像同步数据采集系统。该系统具有友好的交互界面、简单易用,而且可根据试验要求任意添加或减少传感器的数量进行多用途试验数据采集。最后给出的应用实例试验表明,该数据采集系统得到的上拔力与位移关系曲线反映了锚板在松砂和密砂两种不同状态土中的力与位移关系的特征,即在密砂中上拔力随位移增加而迅速增加且当达到峰值后进入破坏阶段,上拔力随位移开始逐渐减小;在松砂中上拔力达到峰值点的位移要比密砂中大得多,且达到峰值后上拔力随位移几乎保持不变。密砂中图像分析得到的位移场表明,位移中间大,两边小,呈倒置梯形状分布,图像分析得到的位移与位移传感器测量的位移具有较高的一致性。
In the tensile test of anchorage board, the existing test equipment and data acquisition system are used to complete the test and data acquisition. However, only the pull-up force and displacement can be measured. The use of images to measure the deformation of the anchor plate during pull-up requires the pull-up force, the displacement of the anchor plate and the one-to-one correspondence of the images. This special condition can not be achieved with conventional test equipment and data acquisition systems. Based on Labview graphical language development environment, this paper developed a force, displacement, image synchronization data acquisition system. The system has a friendly interface, easy to use, but also according to the test requirements to add or reduce the number of sensors for multi-purpose test data acquisition. Finally, the application examples show that the relationship between the pullout force and the displacement obtained by the data acquisition system reflects the relationship between the force and the displacement of the anchor plate in the soils with different states of loose and sand, that is, The upper and middle pull-out force increased rapidly with the increase of displacement, and reached the peak after entering the failure stage. The pull-out force began to decrease gradually with the displacement. In the loose sands, the displacement of the upper- After reaching the peak, the pull-out force almost keeps unchanged with the displacement. The displacement field obtained from the image analysis in the sand shows that the displacement is large in the middle and small on both sides, and is in an inverted trapezoidal shape. The displacement obtained by the image analysis is highly consistent with the displacement measured by the displacement sensor.