论文部分内容阅读
传统的表面波反演主要是利用基阶瑞雷波,当地质结构简单且基阶波具有较高的信噪比时,该方法一般能获得较好的地质解释。然而,当地层中出现速度倒转等复杂地质结构时,高模式表面波将变得极为发育,高阶波在高频段将包含更多的能量,当这种低速层出现时,仅利用基阶波反演将很容易得出错误的地质解释。为此,本文成功地将遗传算法引入到多模式表面波联合反演中来,并通过某高速公路路基典型实例演示了充分利用多模式表面波联合反演不仅可使反演过程稳定,而且还能提高横波速度的反演精度和计算结果的可靠性。
The traditional surface wave inversion mainly uses the fundamental order Rayleigh wave. When the geological structure is simple and the fundamental wave has a high signal-to-noise ratio, the method can generally get better geological interpretation. However, when complex geological structures such as velocity reversal occur in the formation, high-mode surface waves will become extremely developed. Higher-order waves will contain more energy in the high-frequency region. When this low-velocity layer occurs, only the fundamental-wave inversion It will be easy to draw the wrong geological explanation. To this end, the paper successfully introduced the genetic algorithm to multi-mode SAW joint inversion, and through a typical example of a highway subgrade demonstrates that full use of multi-mode SAW joint inversion can not only stabilize the inversion process, but also Can improve the accuracy of S-wave velocity inversion and the reliability of calculation results.