Structural Damage Detection Based on a Fiber Bragg Grating Sensing Array and a Back Propagation Neural Network: An Experimental Study

被引：6

作者：

Luo, Pei ^{[1
]}

Zhang, Dongsheng ^{[1
]}

Wang, Lixin ^{[1
]}

Jiang, Desheng ^{[1
]}

机构：

[1] Wuhan Univ Technol, Key Lab Fiber Opt Sensing Technol & Informat Proc, Minist Educ, Wuhan 430070, Peoples R China

来源：

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL | 2010年 / 9卷 / 01期

关键词：

damage detection; fiber Bragg grating sensing array; back propagation neural network; flat plate;

D O I：

10.1177/1475921709349896

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study presents an experimental verification of a structural damage recognition technique based on a fiber Bragg grating array and a back propagation neural network. A flat plate was designed and fabricated for these experiments. The plate structure was loaded using a lever and a weight, and damage was introduced by putting a hole in the plate. Data was collected for the healthy and damaged cases when the load was applied at different positions on the plate. The neural network was able to identify damage to the plate. This approach for damage detection is useful when a static load can be applied at multiple points on a structure.

引用

页码：5 / 11

页数：7

共 47 条

[41] EMI-Based Multi-sensing Technique for Monitoring Load Influence and Damage in Structural Elements Using Smart Sensing Units: A Numerical and Experimental Study [J].

Parpe, Aditya ;

Saravanan, T. Jothi .

JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2024, 12 (03) :4845-4866

[42] EMI-Based Multi-sensing Technique for Monitoring Load Influence and Damage in Structural Elements Using Smart Sensing Units: A Numerical and Experimental Study [J].

Aditya Parpe ;

T. Jothi Saravanan .

Journal of Vibration Engineering & Technologies, 2024, 12 :4845-4866

[43] Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: A data-based study [J].

Dang, Hui ;

Su, Wenlong ;

Tang, Zhiqing ;

Yue, Shouwei ;

Zhang, Hao .

FRONTIERS IN NEUROSCIENCE, 2023, 16

[44] Using a back propagation neural network based on improved particle swarm optimization to study the influential factors of carbon dioxide emissions in Hebei Province, China [J].

Sun, Wei ;

Xu, Yanfeng .

JOURNAL OF CLEANER PRODUCTION, 2016, 112 :1282-1291

[45] Structural Damage Localization and Quantification Based on a CEEMDAN Hilbert Transform Neural Network Approach: A Model Steel Truss Bridge Case Study [J].

Mousavi, Asma Alsadat ;

Zhang, Chunwei ;

Masri, Sami F. ;

Gholipour, Gholamreza .

SENSORS, 2020, 20 (05)

[46] Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study (vol 16, 1031712, 2023) [J].

Dang, Hui ;

Su, Wenlong ;

Tang, Zhiqing ;

Yue, Shouwei ;

Zhang, Hao .

FRONTIERS IN NEUROSCIENCE, 2023, 17

[47] Dynamic prediction of the pre-dehumidification of a radiant floor cooling and displacement ventilation system based on computational fluid dynamics and a back-propagation neural network: A case study of an office room [J].

Su, Meng ;

Liu, Jiying ;

Zhou, Shiyu ;

Miao, Jikui ;

Kim, Moon Keun .

INDOOR AND BUILT ENVIRONMENT, 2022, 31 (10) :2386-2410

← 1 2 3 4 5 →