摘要
近十五年国内外桥梁坍塌事故屡见不鲜造成经济损失和人员伤亡,其中接近六成的事故是由水下结构病害导致的。桥梁墩桩倾斜是导致桥梁水毁的主要原因。如能在发生事故前提前获取桥梁倾斜数据,并制定维修方案,可以大大减少事故发生率,而国内水下桩基检测及监测仍以低效的人工方式为主。针对以上问题,该文提出采用二维声呐水下墩桩分层定位斜率测量方法,并通过实桥试验验证了其有效性。该方法的实施步骤是采用水下机器人搭载二维声呐得到不同水深的平面成像云图,拟合墩柱的边缘和几何中心,最后推算墩桩斜率。
In recent fifteen years,bridge collapse causes economic losses and casualties frequently,of which nearly 60%are caused by underwater structural diseases.The slope of piers and piles of bridges is the main reason of bridge collapse.If the slope of piers is detected in advance,the accident rate will greatly decline for timely maintenance.However,manual detection is still the main way to detect the diseases and measure the slope of bridge underwater structures in China.This paper proposes a positioning slope measurement method based on sonar,which is verified by practical engineering project.The implementation steps are using the two-dimensional sonar carried by ROV to obtain planar imaging cloud maps at different depths of water,fitting the edges and geometric centers of the pier columns,and calculating the slope of pier pile.
作者
王文轩
李炎清
陈炳聪
刘超
刘爱荣
WANG Wen-xuan;LI Yan-qing;CHEN Bing-cong;LIU Chao;LIU Ai-rong(Wind Engineering and Engineering Vibration Research Center of Guangzhou University,Guangzhou,Guangdong 510006,China;Guangzhou Cheng'an Road and Bridge Inspection Co.,Ltd.,Guangzhou,Guangdong 510420,China)
出处
《工程力学》
EI
CSCD
北大核心
2024年第S01期83-88,共6页
Engineering Mechanics
基金
国家重点研发计划项目(2022YFB2603303)
高等学校学科创新引智计划项目(111计划D21021)
广州市科技计划项目(20212200004)
广东大学生科技创新培育专项资金项目(pdih2023b0408)
广州基础研究计划市校(院)企联合资助项目(2024A03J0318)。
关键词
水下机器人
桥梁检测
斜率识别
水下结构检测
病害检测
underwater ROV
bridge inspection
slope measurement
underwater structure inspection
disease detection
