中国测试
中國測試
중국측시
CHINA MEASUREMENT & TESTING TECHNOLOGY
2015年
11期
106-109,113
,共5页
信号处理%刚体过载%低通滤波%侵彻
信號處理%剛體過載%低通濾波%侵徹
신호처리%강체과재%저통려파%침철
signal processing%rigid body overload%low-pass filter%penetration
针对实测侵彻混凝土数据进行刚体过载提取时,没有明确研究其具体的滤波方法,提出一种适合实时提取刚体过载的滤波方法。根据侵彻加速度信号的特征构造理想侵彻信号,分析常用的巴特沃斯、切比雪夫I、椭圆形、贝塞尔滤波器对理想侵彻加速度信号滤波之后的峰值误差与积分误差,提出将7阶切比雪夫I滤波器与FRR方法相结合的滤波方法,并在侵彻素混凝土的实测试验数据中进行验证。用此滤波方法对实测数据进行处理,得到的弹体刚体过载的一次积分与二次积分与实测数据的一次积分速度和实测侵彻深度的相对误差分别小于5%和10%,滤波前后积分速度保持非常好的一致性。
針對實測侵徹混凝土數據進行剛體過載提取時,沒有明確研究其具體的濾波方法,提齣一種適閤實時提取剛體過載的濾波方法。根據侵徹加速度信號的特徵構造理想侵徹信號,分析常用的巴特沃斯、切比雪伕I、橢圓形、貝塞爾濾波器對理想侵徹加速度信號濾波之後的峰值誤差與積分誤差,提齣將7階切比雪伕I濾波器與FRR方法相結閤的濾波方法,併在侵徹素混凝土的實測試驗數據中進行驗證。用此濾波方法對實測數據進行處理,得到的彈體剛體過載的一次積分與二次積分與實測數據的一次積分速度和實測侵徹深度的相對誤差分彆小于5%和10%,濾波前後積分速度保持非常好的一緻性。
침대실측침철혼응토수거진행강체과재제취시,몰유명학연구기구체적려파방법,제출일충괄합실시제취강체과재적려파방법。근거침철가속도신호적특정구조이상침철신호,분석상용적파특옥사、절비설부I、타원형、패새이려파기대이상침철가속도신호려파지후적봉치오차여적분오차,제출장7계절비설부I려파기여FRR방법상결합적려파방법,병재침철소혼응토적실측시험수거중진행험증。용차려파방법대실측수거진행처리,득도적탄체강체과재적일차적분여이차적분여실측수거적일차적분속도화실측침철심도적상대오차분별소우5%화10%,려파전후적분속도보지비상호적일치성。
Up to now,no specific filtering methods have been reported from the studies at home and abroad on real-time acquisition of rigid body overload in penetration of concrete data. This paper proposed a most suitable filtering method for real-time extraction of rigid body overload in concrete penetration. An ideal penetration signal was constructed according to the characteristics of penetration acceleration signal. The peak error and integral error were obtained after the ideal signal was filtered via Butterworth,Chebyshev I,Oval and Bessel filters. The filtering method of combining 7-order Chebyshev-I filters and FRR method were put forward and validated through the measured test data of penetrated plain concrete. The data was furthered analyzed through the combined filtering method to acquire a first and second integration of rigid body overload, and the relative errors of which with the first integral of the measured data and the measured penetration depth were less than 5% and 10% respectively. The integral velocities before and after the filtering keep a good consistency.