{"title":"基于车载传感器数据的桥梁检测数值研究","authors":"Kyosuke Yamamoto, Sachiyo Fujiwara, Kento Tsukada, Ryota Shin, Yukihiko Okada","doi":"10.12783/shm2021/36324","DOIUrl":null,"url":null,"abstract":"In this study, we proposed a methodology for a technique to simultaneously estimate the mechanical parameters of vehicles and bridges and road surface roughness from vehicle vibration. The MCMC (Markov chain Monte Carlo) method was used to search for parameters from vehicle vibrations generated by numerical simulation. The results obtained are estimable even in the presence of bridge stiffness reduction, which suggests the possibility of bridge damage detection using vehicle vibration.","PeriodicalId":180083,"journal":{"name":"Proceedings of the 13th International Workshop on Structural Health Monitoring","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"NUMERICAL STUDIES ON BRIDGE INSPECTION USING DATA OBTAINED FROM SENSORS ON VEHICLE\",\"authors\":\"Kyosuke Yamamoto, Sachiyo Fujiwara, Kento Tsukada, Ryota Shin, Yukihiko Okada\",\"doi\":\"10.12783/shm2021/36324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we proposed a methodology for a technique to simultaneously estimate the mechanical parameters of vehicles and bridges and road surface roughness from vehicle vibration. The MCMC (Markov chain Monte Carlo) method was used to search for parameters from vehicle vibrations generated by numerical simulation. The results obtained are estimable even in the presence of bridge stiffness reduction, which suggests the possibility of bridge damage detection using vehicle vibration.\",\"PeriodicalId\":180083,\"journal\":{\"name\":\"Proceedings of the 13th International Workshop on Structural Health Monitoring\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 13th International Workshop on Structural Health Monitoring\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/shm2021/36324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Workshop on Structural Health Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/shm2021/36324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
在本研究中，我们提出了一种从车辆振动中同时估计车辆和桥梁力学参数和路面粗糙度的技术方法。利用MCMC (Markov chain Monte Carlo)方法从数值模拟产生的车辆振动中搜索参数。即使在桥梁刚度降低的情况下，得到的结果也是可估计的，这表明利用车辆振动进行桥梁损伤检测是可能的。
NUMERICAL STUDIES ON BRIDGE INSPECTION USING DATA OBTAINED FROM SENSORS ON VEHICLE
In this study, we proposed a methodology for a technique to simultaneously estimate the mechanical parameters of vehicles and bridges and road surface roughness from vehicle vibration. The MCMC (Markov chain Monte Carlo) method was used to search for parameters from vehicle vibrations generated by numerical simulation. The results obtained are estimable even in the presence of bridge stiffness reduction, which suggests the possibility of bridge damage detection using vehicle vibration.
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