摘要
桥梁动态称重(Bridge Weigh-in-motion:BWIM)系统是以桥梁为载体来识别过桥车辆的轴重及总重量。目前商用BWIM系统均利用桥梁跨中弯矩影响线作为参考来识别过桥车辆轴重。因此,获得更为符合桥梁实际边界条件的影响线对于提高车辆轴重识别精度具有重要意义。基于一跨径13 m的简支板桥的现场试验,利用最小二乘原理,通过标定车作用下桥梁跨中截面的动态响应信号来标定实际桥梁结构影响线。然后采用Moses算法,依据标定的影响线,对过桥车辆进行了轴重识别。计算结果表明:对于多车道板桥,每个车道的实际影响线有一定差别,而影响线的选取直接影响轴重识别的精度,所以需对每个车道进行影响线标定,然后基于车辆经过该车道所得到的影响线来反算过桥车辆轴重。
Bridge weigh-in-motion（ BWIM） systems use instrumented bridge as a large scale to identify axle weights of moving vehicles across the bridge in terms of the mid-span influence line（ IL）. ILs representing more actual conditions of the existing bridges will improve the accuracy of the identified axle weights in BWIM systems. Based on field test on a 13 m-long slab bridge,this paper presents a method to calibrate the structural IL through continuously collected bridge response with the least square method. Taking the calibrated ILs as reference,the axle weights of passing vehicles are identified by Moses algorithm through the collected dynamic signals. Field tests demonstrate that calculated ILs from different lanes deviate from each other,leading to different level of accuray for the identified axle weights. In this case,it is necessary to instrument calibration tests for each lane to derive IL of the lane and thus calculate the corresponding axle weights of passing vehicle with the IL calibrated from the very lane.
出处
《公路工程》
北大核心
2017年第6期24-30,35,共8页
Highway Engineering
基金
湖南省自然科学基金项目资助(13JJ2019)
高等学校博士学科点专项科研基金资助(20110161120025)
