IoT 센싱을 이용한 현수교의 동적 거동 분석에 관한 연구

Abstract

A Study on Dynamic Behavior Analysis of Suspension Bridge Using IoT Sensing Moon, In-ki Advisor : Prof. Park, Jeong-ung, Ph. D. Department of Civil Engineering Graduate School of Chosun University

Based on the continuous development of construction technology, the construction of long-span bridges such as suspension bridges and oblique suspension bridges is on the rise. Since these long-distance bridges account for a large proportion of the SOC industry and have a great social and economic impact when a problem occurs, it is necessary to check the structural behavior and safety of the bridge during the public use in real time as well as during the construction stage. In recent research trends, various studies are being conducted to detect, collect, and analyze the behavior of structures through the establishment of monitoring measurement systems to check structural safety in real time and to efficiently maintain them, and as part of this, various measurement systems are installed and operated to monitor the behavior and structural safety of many large structures. Due to the rapid development of information and communication, Internet of Things (IoT) technology that connects all things to communicate with information is expanding throughout society. If these IoT technologies are applied to special bridge structures such as long-span suspension bridges, it is believed that a smart monitoring measurement system for maintenance during the public use as well as during the construction stage can be implemented. It is believed that the data secured through the IoT system can determine maintenance priorities and can be used as important data for predicting durability life. The purpose of this study is to establish a way for managers to facilitate construction and safety management by verifying the reliability of the measurement data obtained by the measurement system built on long bridges such as suspension bridges, checking the performance and completeness of the automatic measurement system, acquiring quantitative information on behavioral characteristics, and securing data for setting management standards. In addition, by comparing and analyzing the acquired data, it is intended to evaluate whether IoT sensing technology can be introduced not only for long bridges but also for small and medium-sized bridges in urban areas, and to lay the foundation for the development of IoT sensing control systems that can actively cope with cognitive loads such as repaving bridges and behaviors caused by environmental factors such as typhoons. The IoT measurement analysis results of suspension bridges verified through this study can be used as a basis for the necessity of establishing a real-time bridge condition monitoring and prediction response system that combines ICT (Information and Communication Technology) technology, and in the future, an intelligent IoT measurement system that predicts safety monitoring, construction management, integrated management, and life expectancy of urban infrastructure such as large SOCs can be expanded and developed in the construction sector.