摘要
基于FWD实测弯沉盆的路面模量反算技术在路面结构质量评价中应用广泛。然而,如何利用FWD数据来反算模量既是各方研究的热点,也是难点。结合自适应信息遗传算法和差分进化算法各自的优势,提出了信息差分遗传算法来反算路面模量。工程实例表明,该新算法既能在保证较高反算精度的前提下提高反算效率,同时对传感器读数随机误差具有较强鲁棒性。
Modulus back-calculation based on FWD is widely used in the quality evaluation of pavement structure.However,how to use the FWD data is both a hot spot and difficult.In this paper,a new algorithm named pheromone differential genetic algorithm to back-calculate modulus is proposed,in which the advantages of the adaptive informational genetic algorithm and differential evolution algorithm are combined.The following results of both theory experiments and engineering examples show the new algorithm can improve the calculation efficiency with a high accuracy,and is robust even if the sensors data contain random errors.
作者
鲁云岗
李跃军
LU Yungang;LI Yuejun(Hunan Provincial Expressway Group Co.,Ltd.,Changsha,Hunan 410007,China;Hunan Communications Research Institute,Co.,Ltd.,Changsha,Hunan 410015,China)
出处
《公路工程》
2022年第5期108-112,共5页
Highway Engineering
基金
国家自然科学基金项目(51878077)。
关键词
落锤式弯沉仪
路面模量反算
自适应信息遗传算法
差分进化算法
Falling-Weight Deflectometer(FWD)
modulus back-calculation of pavement structure
adaptive informational genetic algorithm
differential evolution algorithm
