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公路路基强度检测参考标准是求得弯沉盆参数,在最小二乘意义上,模量反算是求得理论弯沉盆与实际测得弯沉盆之间的最佳拟合的重要计算手段。此法不仅具有一般线性规划问题的数值不确定性,还具有高复杂度和高维度的特点。在充分了解模量反算本质的基础上,介绍了新型的回弹模量测试方法——PFWD,并提出了与之相适应的自适应信息遗传模量反算法。
In the sense of least square, the modulus back calculation is an important calculation method to get the best fit between the theoretical deflection basin and the actually measured deflection basin. This method not only has the numerical uncertainty of general linear programming, but also has the characteristics of high complexity and high dimension. On the basis of fully understanding the nature of modulus backscattering, this paper introduces a new method of testing the springback modulus, PFWD, and proposes an adaptive information genetic modulus inverse algorithm.