Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors

被引：43

作者：

Lydon, Myra ^{[1
]}

Robinson, D. ^{[1
]}

Taylor, S. E. ^{[1
]}

Amato, G. ^{[1
]}

Brien, E. J. O. ^{[2
]}

Uddin, N. ^{[3
]}

机构：

[1] Queens Univ Belfast, Sch Nat & Built Environm, David Keir Bldg, Belfast BT9 5AG, Antrim, North Ireland

[2] Univ Coll Dublin, Sch Civil Struct & Environm Engn, Dublin 4, Ireland

[3] Univ Alabama Birmingham, Dept Civil Construct & Environm Engn, Birmingham, AL USA

来源：

JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING | 2017年 / 7卷 / 03期

基金：

美国国家科学基金会; 爱尔兰科学基金会;

关键词：

Bridge weigh-in-motion; Finite element analysis; Fiber optic sensors; Structural health monitoring; ACCURACY; CLASSIFICATION; WIM;

D O I：

10.1007/s13349-017-0229-4

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Bridge weigh-in-motion (B-WIM) systems provide a non-destructive means of gathering traffic loading information by using an existing bridge as a weighing scale to determine the weights of vehicles passing over. In this research critical locations for sensors for the next-generation B-WIM were determined from a full 3D explicit finite element analysis (FEA) model. Although fiber optic sensors (FOS) have become increasingly popular in SHM systems there are currently no commercially available fiber optic WIM systems available. The FEA in this research facilitated the development of the first ever full fiber optic B-WIM and its potential has been demonstrated with the site installation of this system. The system combined nothing-on-the-road axle detection and alternative methods of measuring strain at the supports. The system was installed on a 20-m span beam and slab RC bridge in Northern Ireland and the results presented in this paper confirm the suitability of FOS in providing the clear defined peaks required for accurate axle detection in B-WIM.

引用

页码：325 / 332

页数：8

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