基于遗传算法的刚性路面脱空判定

Void identifying of rigid pavement based on genetic algorithm

利用有限单元法建立了可考虑接缝和地基脱空的刚性路面位移计算模型。模拟生物进化过程,利用遗传算法建立了反演路面结构层模量的方法。最终提出了判定刚性路面板角(边)脱空面积的迭代方法,利用落锤式弯沉仪(FWD)实测板中弯沉盆数据反演模量,根据反演结果计算板角(边)的理论弯沉值,对比理论与实测弯沉值确定地基脱空面积,修正地基接触状况重复上述计算过程,直至计算结果收敛。

Authors developed a numerical model in calculating displacement of rigid pavement which can take the void of foundation and the boundary effect of joint into account. They also established a method for module backcalculating of rigid pavement using genetic algorithm. Finally, authors have established an iteration approach to identify void of rigid pavement which use FWD testing deflection data of center slab to back calculate modulus, calculate the theoretical deflection of pavement at corner (or edge) using the modulus got from the back calculation, identify the void area by comparing the testing and the theoretical deflection at corner (or edge), modify foundation contact status according to the void area and repeat above steps until the result of calculation converge.