首页|Research on concrete structure defect repair based on three-dimensional printing

Research on concrete structure defect repair based on three-dimensional printing

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Quality assurance and maintenance play a crucial role in engineering construction,as they have a significant impact on project safety.One common issue in concrete structures is the presence of defects.To enhance the automation level of concrete defect repairs,this study proposes a computer vision-based robotic system,which is based on three-dimensional(3D)printing technology to repair defects.This system integrates multiple sensors such as light detection and ranging(LiDAR)and camera.LiDAR is utilized to model concrete pipelines and obtain geometric parameters regarding their appearance.Additionally,a convolutional neural network(CNN)is employed with a depth camera to locate defects in concrete structures.Furthermore,a method for coordinate transformation is presented to convert the obtained coordinates into executable ones for a robotic arm.Finally,the feasibility of this concrete defect repair method is validated through simulation and experiments.

concretedefect detection3D printingdeep learningpoint cloud data

Yang GU、Wei LI、Xupeng YAO、Guangjun LIU

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School of Mechanical Engineering,Tongji University,Shanghai 201804,China

College of Civil Engineering,Tongji University,Shanghai 200092,China

Shanghai Engineering Research Center for Safety Intelligent Control of Building Machinery,Shanghai 200032,China

Ministry of Science and Technology of ChinaScience and Technology Commission of Shanghai MunicipalityTop Discipline Plan of Shanghai Universities-Class Ⅰ

2021YFE011410021DZ1203505

2024

10.1007/s11709-024-1088-9

结构与土木工程前沿
高等教育出版社

结构与土木工程前沿

CSTPCDEI
影响因子：0.082
ISSN：2095-2430
年,卷(期)：2024.(5)
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