A systematic review of structural materials health monitoring system for girder-type bridges

被引：6

作者：

Al-Nasar M.K.R. ^{[1
]}

Al-Zwainy F.M.S. ^{[1
]}

机构：

[1] Civil Engineering Department, Al-Nahrain University, Baghdad

来源：

Materials Today: Proceedings | 2022年 / 49卷

关键词：

Bridge; BWIN; Concrete girder; Deep-learning; Load-carrying capacity; MEMS; Service-life evaluation; Steel girder; Structural health monitoring;

D O I：

10.1016/j.matpr.2021.12.385

中图分类号：

学科分类号：

摘要：

The innovative and groundbreaking structural health monitoring in priority-based sensor technology utilised in structural health monitoring has considerably improved. Its use has expanded for a variety of purposes, including determining the behaviour of facilities under various forms of loads. To study these technologies and offer researchers a clear vision of this field, we must first be aware of the techniques that have been used and the limits that exist in this line of research. To that aim, a thorough search was undertaken to locate publications dealing with terms such as “structural health monitoring,” “bridge monitoring,” and “concrete bridge”. ScienceDirect and Springer databases were checked for articles on structural health monitoring for girders' bridges. The first category in which the researchers described and presented an overview of the bridges' behaviour under normal loads and finding the remaining service life. The second category was the application of new approach proposals in health monitoring and seeing its accuracy in giving good vision for bridges. Then, the motivation for using monitoring technology on the bridges, Issues related to structural health monitoring development and use are addressed based on published results related to its obstruction and development. © 2021

引用

页码：A19 / A28

页数：9

共 27 条

[1] Ozer E., Feng M.Q., Structural health monitoring, Start-up creation, pp. 345-367, (2020)
[2] Chen H.-P., (2018)
[3] Bakht B., Mufti A., (2015)
[4] Algohi B., Bakht B., Mufti A., Long-term study on bearing restraint of a girder bridge, J. Civil Struct. Health Monit., 7, 1, pp. 45-55, (2017)
[5] Kaloop M.R., Kim K.H., Elbeltagi E., Jin X., Hu J.W., Service-life evaluation of existing bridges subjected to static and moving trucks using structural health monitoring system: case study, KSCE J. Civ. Eng., 24, 5, pp. 1593-1606, (2020)
[6] El-Sisi A.-D., El-Husseiny O.M., Matar E.B., Sallam H.-D., Salim H.A., Field-testing and numerical simulation of vantage steel bridge, J. Civil Struct. Health Monit., 10, 3, pp. 443-456, (2020)
[7] Liu Z., Freeseman K., Phares B.M., Evaluation of the need for negative moment reinforcing in prestressed concrete bridges in the view of service loads, Eng. Struct., 207, (2020)
[8] Nguyen D.H., Et al., Damage detection in girder bridges using modal curvatures gapped smoothing method and Convolutional Neural Network: Application to Bo Nghi bridge, Theor. Appl. Fract. Mech., 109, (2020)
[9] Jahan S., Mojtahedi A., Mohammadyzadeh S., Hokmabady H., A fuzzy krill herd approach for structural health monitoring of bridges using operational modal analysis, Iranian J. Sci. Technol., Trans. Civil Eng., 45, 2, pp. 1139-1157, (2021)
[10] Nick H., Et al., Damage identification in steel girder bridges using modal strain energy-based damage index method and artificial neural network, Eng. Fail. Anal., 119, (2021)

← 1 2 3 →