School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.
Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China.
Sensors (Basel). 2020 Apr 23;20(8):2397. doi: 10.3390/s20082397.
Stress wave, accompanied by explosion shock wave overpressure measurement and dynamic pressure calibration on shock tube, could cause error signals in the piezoelectric pressure sensor (PPS) used for measuring and calibrating. We may call this error the stress wave effect (SWE). In this paper, the SWE and its isolation from PPS were studied by using a split Hopkinson pressure bar (SHPB). In the experimental study of SWE, when increasing the input stress, the corresponding output signal of the PPS was analyzed, and the existence of SWE was verified using the result of the spectrum analysis of the output signal. The stress wave isolation pedestal used in the stress wave isolation experiment was made of nylon and plexiglass polymer materials. The effects of the isolation pedestal's materials and length on the stress wave isolation were analyzed using the study results. Finally, an artificial neural network (ANN) was trained with the data of the SWE study and was further applied to compensate the SWE error of the PPS output signal. The compensating results were compared with the isolating results, and the advantages and disadvantages of the digital compensation and physical isolation methods were analyzed.
冲击波伴随着爆炸冲击波超压测量和激波管的动态压力校准，可能会导致用于测量和校准的压电压力传感器（PPS）产生误差信号。我们可以将这种误差称为应力波效应（SWE）。本文通过使用分离式 Hopkinson 压杆（SHPB）研究了 SWE 及其与 PPS 的隔离。在 SWE 的实验研究中，当增加输入应力时，分析了 PPS 的相应输出信号，并通过输出信号的频谱分析结果验证了 SWE 的存在。用于应力波隔离实验的应力波隔离基座由尼龙和有机玻璃聚合物材料制成。利用研究结果分析了隔离基座材料和长度对应力波隔离的影响。最后，使用 SWE 研究的数据训练了人工神经网络（ANN），并进一步将其应用于补偿 PPS 输出信号的 SWE 误差。比较了补偿结果与隔离结果，分析了数字补偿和物理隔离方法的优缺点。
