CAJ | 학술논문

应用地质雷达探测隧道内部裂隙水的分布状况时，受隧道钢筋网的影响以及噪声干扰，导致探测信号中弱有效信号难以识别。Curvelet 变换可以对二维信号从频率、角度和空间位置实现有效反射波和干扰波的分离及降噪处理，应用Curvelet变换对含钢筋网干扰的裂隙水模型的探地雷达模拟数据进行波场分离和降噪处理，在压制直达波、去除钢筋层反射信号及多次反射的基础上，可以有效地提取出含裂隙水所引起的反射波信号。将该方法应用到汝郴高速某隧道实测探地雷达数据中，较好地去除了钢筋层反射信号的影响，准确地判断出了裂隙水的空间分布位置，证明了所提出方法的有效性。
응용지질뢰체탐측수도내부렬극수적분포상황시，수수도강근망적영향이급조성간우，도치탐측신호중약유효신호난이식별。Curvelet 변환가이대이유신호종빈솔、각도화공간위치실현유효반사파화간우파적분리급강조처리，응용Curvelet변환대함강근망간우적렬극수모형적탐지뢰체모의수거진행파장분리화강조처리，재압제직체파、거제강근층반사신호급다차반사적기출상，가이유효지제취출함렬극수소인기적반사파신호。장해방법응용도여침고속모수도실측탐지뢰체수거중，교호지거제료강근층반사신호적영향，준학지판단출료렬극수적공간분포위치，증명료소제출방법적유효성。
When we detect the distribution of fissure water in tunnel with ground penetrating radar,it is hard to identify the weak effective signal because of the influence of mesh reinforcement and noise.Curvelet transform can achieve effective wave field separation and denoising of two-dimensional signal from the frequency,angle and spatial location.The Curvelet transform is applied to wave field separation and signal denoise processing by using of GPR simulated data from fissured water which is disturbed seriously by the existence of mesh reinforcement.After the direct signal suppression,removal of the reflec-ted signal and multiple reflections from mesh reinforcement,we can effectively extract the reflected wave signal which is caused by the water bearing structure crack.Our method is applied to real data measured in a tunnel of the Ruchen highway.The re-sults show that after removal of the reflected signal from mesh reinforcement we can accurately determine the location of fissure water,which proves the effectiveness of the proposed method.