Design and Implementation of a Structural Health Monitoring System for a Large Sea-Crossing Project with Bridges and Tunnel

Yu Yan,Xingquan Mao,Xianfeng Yu,Lei Fang,Xu Wang

doi:10.1155/2019/2832089

Abstract

Even though large-scale projects, such as sea-crossing bridges and tunnels, have complex structures and service conditions, the structural health monitoring (SHM) system can comprehensively monitor the stress situation and damage evolution law in the entire construction and service process of such structures. Based on the background of the Hong Kong–Zhuhai–Macao Bridge, this study systematically introduces the overall goal and framework of the SHM system, monitoring content, and sensor information. Moreover, the structural health condition evaluation methods and data analysis methods are presented in detail. Then, on the basis of a multilayer data storage system, a fault-tolerant data center platform design, an open integrated supervision platform design, and other measures, a set of reliable and advanced large-scale software systems are built to achieve the SHM system for the Hong Kong–Zhuhai–Macao Bridge. Finally, the wind characteristics around the Hong Kong–Zhuhai–Macao Bridge and some of the monitored structural responses from the Super Typhoon Mangkhut in 2018 are shown, which verified that the SHM system can accurately and reliably monitor and feedback the environmental load and structural response of the principal parts of the Hong Kong–Zhuhai–Macao Bridge under complicated service environment.

Highlights

Societal and economic development has led to the continuous construction of large-span bridges and underground tunnels over rivers, lakes, and seas. ese projects are large in scale and structurally complex and have harsh service environment
Analytic hierarchy process (AHP) [23] was first proposed by Satty in the 1970s. is quantitative method is used for multi-index comprehensive evaluation. e initial weight of each evaluation index is defined to quantify the qualitative factor, thereby minimizing the effect of subjective factors and making the evaluation scientific
Some qualitative factors are transformed into quantitative factors by adopting the principle of fuzzy relation composite to achieve fuzziness

Summary

Introduction

Societal and economic development has led to the continuous construction of large-span bridges and underground tunnels over rivers, lakes, and seas. ese projects are large in scale and structurally complex and have harsh service environment. Structural performance can degrade under the above loads or actions, posing a risk to the safe operation of the structure and even causing collapsed accidents [1,2,3,4] Monitoring these large-span bridges and tunnels in real time, finding the damage degree of the structures in time, predicting the performance changes of the structure, and taking effective means to diagnose the structures have become the key problems that must be solved urgently in modern large-scale projects. A structural health monitoring (SHM) system can comprehensively monitor the stress situation and damage evolution law of bridge and tunnel structures during the entire process of construction and service. It can effectively ensure the construction and service safety of large-span structures [5]

Methods

Results

Conclusion