Manual inspections of infrastructures such as highway bridge, pavement, dam, and multistoried garage ceiling are time consuming, sometimes can be life threatening, and costly. An automated computerized system can redu...Manual inspections of infrastructures such as highway bridge, pavement, dam, and multistoried garage ceiling are time consuming, sometimes can be life threatening, and costly. An automated computerized system can reduce time, faulty inspection, and cost of inspection. In this study, we developed a computer model using deep learning Convolution Neural Network (CNN), which can be used to automatically detect the crack and non-crack type structure. The goal of this research is to allow application of state-of-the-art deep neural network and Unmanned Aerial Vehicle (UAV) technologies for highway bridge girder inspection. As a pilot study of implementing deep learning in Bridge Girder, we study the recognition, length, and location of crack in the structure of the UTC campus old garage concrete ceiling slab. A total of 2086 images of crack and non-crack were taken from UTC Old Library parking garage ceiling using handheld mobile phone and drone. After training the model shows 98% accuracy with crack and non-crack types of structures.展开更多
针对钢箱梁桁架式纵隔板中出现的早发性、多发性、再发性疲劳开裂病害,分析桁架式纵隔板病害原因,基于能量法,提出将端部刚接斜腹杆变为端部铰接的弹性阻尼支撑处治技术。研制弹性阻尼支撑装置(Elastic-Damping Support Device,EDSD),...针对钢箱梁桁架式纵隔板中出现的早发性、多发性、再发性疲劳开裂病害,分析桁架式纵隔板病害原因,基于能量法,提出将端部刚接斜腹杆变为端部铰接的弹性阻尼支撑处治技术。研制弹性阻尼支撑装置(Elastic-Damping Support Device,EDSD),将斜腹杆局部切除并安装EDSD,通过EDSD中设置的弹性阻尼单元耗散外部荷载输入结构的大部分能量,保障结构在长期车辆荷载等作用下的安全性和正常使用性能。结合某斜拉桥钢箱梁桁架式纵隔板疲劳开裂处治需求,开展了该处治技术实桥应用,并对其进行有限元分析及实桥监测。结果表明:钢箱梁内斜腹杆局部改造安装EDSD后可大幅降低斜腹杆应力水平,有效降低斜腹杆疲劳易损部位开裂风险,增加疲劳寿命;安装EDSD的斜腹杆上的既有裂缝均无扩展。展开更多
文摘Manual inspections of infrastructures such as highway bridge, pavement, dam, and multistoried garage ceiling are time consuming, sometimes can be life threatening, and costly. An automated computerized system can reduce time, faulty inspection, and cost of inspection. In this study, we developed a computer model using deep learning Convolution Neural Network (CNN), which can be used to automatically detect the crack and non-crack type structure. The goal of this research is to allow application of state-of-the-art deep neural network and Unmanned Aerial Vehicle (UAV) technologies for highway bridge girder inspection. As a pilot study of implementing deep learning in Bridge Girder, we study the recognition, length, and location of crack in the structure of the UTC campus old garage concrete ceiling slab. A total of 2086 images of crack and non-crack were taken from UTC Old Library parking garage ceiling using handheld mobile phone and drone. After training the model shows 98% accuracy with crack and non-crack types of structures.
文摘针对钢箱梁桁架式纵隔板中出现的早发性、多发性、再发性疲劳开裂病害,分析桁架式纵隔板病害原因,基于能量法,提出将端部刚接斜腹杆变为端部铰接的弹性阻尼支撑处治技术。研制弹性阻尼支撑装置(Elastic-Damping Support Device,EDSD),将斜腹杆局部切除并安装EDSD,通过EDSD中设置的弹性阻尼单元耗散外部荷载输入结构的大部分能量,保障结构在长期车辆荷载等作用下的安全性和正常使用性能。结合某斜拉桥钢箱梁桁架式纵隔板疲劳开裂处治需求,开展了该处治技术实桥应用,并对其进行有限元分析及实桥监测。结果表明:钢箱梁内斜腹杆局部改造安装EDSD后可大幅降低斜腹杆应力水平,有效降低斜腹杆疲劳易损部位开裂风险,增加疲劳寿命;安装EDSD的斜腹杆上的既有裂缝均无扩展。
