基于桥梁挠度的重载车辆荷载识别方法研究OA
Research on Heavy Vehicle Load Identification Method Based on Bridge Deflection
以浙江省宁波市某桥梁工程为依托,提出了一种基于双向长短时记忆网络(BiLSTM)的重载车辆荷载识别方法,通过自主学习并提取结构动挠度时程特征,构建了车辆车重与结构动挠度之间的映射关系,实现了重载车辆荷载参数的反演,验证了所提方法具有很好的鲁棒性与泛化性能,车重识别精度最高可达91％,对多车行驶的抗干扰性也较强.相关研究结论可为类似重载车辆荷载识别提供参考.
Based on a bridge project of Ningbo City,Zhejiang Province,a heavy vehicle load identification method was proposed based on bi-directional long short-term memory network(BiLSTM).The time-dependent features of structural dynamic deflection were learned and extracted and the mapping relationship between vehicle weight and structural dynamic deflection was constructed to realize the inversion of heavy vehicle loading parameters.The pro-posed method is verified to have good robustness and generalization performance.The vehicle weight recognition ac-curacy can reach up to 91％and the anti-interference ability for multi-vehicle driving is stronger.The relevant con-clusions can provide reference for load identification of similar heavy vehicles.
谷云秋;钱江;江科;胡洁亮;魏哲
宁波市公路与运输管理中心,浙江宁波 315100宁波市北仑区公路与运输管理中心,浙江宁波 315800宁波朗达科技有限公司,浙江宁波 315100
交通运输
重载车辆荷载识别桥梁挠度动态称重系统长短时记忆网络
heavy vehicleload identificationbridge deflectionweight-in-motion systemlong short-term memory network
《市政技术》 2024 (008)
23-29,190 / 8
科技创新2025重大专项(宁波市重大科技任务攻关项目)(2022Z227)
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