scholarly journals Dynamic and quasi-static signal separation method for bridges under moving loads based on long-gauge FBG strain monitoring

2019 ◽  
Vol 38 (2) ◽  
pp. 388-402
Author(s):  
Huaxi Lu ◽  
Zhicheng Gao ◽  
Bitao Wu ◽  
Zhenwei Zhou
Keyword(s):  
Health Monitoring ◽  
Strain Sensors ◽  
Separation Method ◽  
Signal Separation ◽  
Dynamic Monitoring ◽  
Static Strain ◽  
Strain Monitoring ◽  
Important Means ◽  
Vehicle Loads ◽  
Strain Signal

Structural health monitoring is an important means of obtaining the state information of bridges, and the extracted quasi-static strain signal can reflect the stress state of bridges directly. However, the strain signals acquired during the operation stage of bridges are dynamic, and the strain gauges used in the health monitoring system are short (no more than 10 cm), which means they are easily affected by small damage at the installation parts of bridges and thereby the monitoring signal abnormalities occur. A type of externally affixed long-gauge fiber strain gauge is used to monitor the health of bridges, and the dynamic and quasi-static signal separation method for long-gauge strain sensors is studied under different vehicle loads; at the same time, the dynamic monitoring performance of the long-gauge sensor is investigated in this paper. The quasi-static strain signal extracted from the dynamic macro-strain signal can be used to directly monitor the stress status of the bridge. The results show that the method proposed in this paper is feasible for extracting the quasi-static macro-strain from a dynamic long-gauge strain signal.

Research of Structural Health Monitoring System for the Crane Based on Wireless Strain Sensors

2013 ◽  
Vol 330 ◽  
pp. 437-440
Author(s):  
Na Li ◽  
Zhi Jie Wang ◽  
Ke Qin Ding
Keyword(s):  
Stress State ◽  
Monitoring System ◽  
Health Monitoring ◽  
Strain Gauge ◽  
Safety Monitoring ◽  
Strain Sensors ◽  
Wireless Transmission ◽  
Transmission Network ◽  
Health Monitoring System ◽  
Strain Monitoring

Research on the field of crane health monitoring has been conducted for the strain monitoring demand on the using of key components of crane and major safety monitoring requirements of crane in China. Strain monitoring nodes based on wireless transmission network have been designed, and crane structure health monitoring system has also been developed on the basis of this technology. The system has been taken contrast experiments with strain gauge acquisition equipment on-site, and the results of experiments show that this system could not only measure accurate strain, but also realize the real-time monitoring and reflect the stress state of crane on operation in time.

scholarly journals Strain Monitoring

2021 ◽  
pp. 219-241
Author(s):  
Steve Vanlanduit ◽  
Mario Sorgente ◽  
Aydin R. Zadeh ◽  
Alfredo Güemes ◽  
Nadimul Faisal
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Measurement Data ◽  
Strain Sensors ◽  
Strain Gauges ◽  
Low Frequencies ◽  
Fiber Sensors ◽  
Structural Health ◽  
Strain Monitoring ◽  
Working Principle

AbstractThis chapter provides an overview of the use of strain sensors for structural health monitoring. Compared to acceleration-based sensors, strain sensors can measure the deformation of a structure at very low frequencies (up to DC) and enable the measurement of ultrasonic responses. Many existing SHM methods make use of strain measurement data. Furthermore, strain sensors can be easily integrated in (aircraft) structures. This chapter discusses the working principle of traditional strain gauges (Sect. 8.1) and different types of optical fiber sensors (Sect. 8.2). The installation requirements of strain sensors and the required hardware for reading out sensors are provided. We will also give an overview of the advantages and the limitations of commonly used strain sensors. Finally, we will present an overview of the applications of strain sensors for structural health monitoring in the aeronautics field.

Research on the Performance of Strain Sensors Applied to Bridges

2014 ◽  
Vol 875-877 ◽  
pp. 680-684
Author(s):  
Zhi Liu ◽  
Jing Liu ◽  
Shu Ri Cai
Keyword(s):  
Health Monitoring ◽  
Performance Test ◽  
Strain Sensor ◽  
Safety Monitoring ◽  
Strain Sensors ◽  
Great Role ◽  
Temperature Drift ◽  
Short Life ◽  
Test Analysis ◽  
Health Monitoring System

Strengthening safety monitoring of bridges during service time and improving the capability of emergency support have become the priority of the development of China’s present transportation system. Strain sensors play a great role in bridge detection and health monitoring system. In order to overcome disadvantages of traditional resistance strain sensors, such as big temperature drift, short life and inadaptability in the environment of low temperature and humidity, new arch strain sensors have been developed. This paper mainly discusses the structural and material characteristics of this sensor, as well as the performance test analysis of this strain sensor.

Area-Arrayed Graphene Nano-Ribbon-Base Strain Sensor

2018 ◽  
Author(s):  
Ryohei Nakagawa ◽  
Zhi Wang ◽  
Ken Suzuki
Keyword(s):  
Chemical Vapor Deposition ◽  
Stress Concentration ◽  
Health Monitoring ◽  
Vapor Deposition ◽  
Strain Sensor ◽  
Chemical Vapor ◽  
High Sensitivity ◽  
Strain Sensors ◽  
Chemical Vapor Deposition Method ◽  
High Quality

Health monitoring devices using a strain sensor, which shows high sensitivity and large deformability, are strongly demanded due to further aging of society with fewer children. Conventional strain sensors, such as metallic strain gauges and semiconductive strain sensors, however, aren’t applicable to health monitoring because of their low sensitivity and deformability. In this study, fundamental design of area-arrayed graphene nano-ribbon (GNR) strain senor was proposed in order to fabricate next-generation strain sensor. The sensor was consisted of two sections, which are stress concentration section and stress detecting section. This structure can take full advantage of GNR’s properties. Moreover, high quality GNR fabrication process, which is one of the important process in the sensor, was developed by applying CVD (Chemical Vapor Deposition) method. Top-down approach was applied to fabricate the GNR. At first, in order to synthesize a high-quality graphene sheet, acetylene-based LPCVD (low pressure chemical vapor deposition) using a closed Cu foil was employed. After that, graphene was transferred silicon substrate and the quality was evaluated. The high quality graphene was transferred on the soft PDMS substrate and metallic electrodes were fabricated by applying MEMS technology. Area-arrayed fine pin structure was fabricated by using hard PDMS as a stress-concentration section. Finally, both sections were integrated to form a highly sensitive and large deformable pressure sensor. The strain sensitivity of the GNR-base sensor was also evaluated.

scholarly journals A Wireless Strain Sensor Network for Structural Health Monitoring

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Chengyin Liu ◽  
Jun Teng ◽  
Ning Wu
Keyword(s):  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Evaluation System ◽  
Strain Sensor ◽  
Modal Testing ◽  
Dynamic Strain ◽  
Structural Dynamic ◽  
Structural Health ◽  
Strain Monitoring

Structural strain under external environmental loads is one of the main monitoring parameters in structural health monitoring or dynamic tests. This paper presents a wireless strain sensor network (WSSN) design for monitoring structural dynamic strain field. A precision strain sensor board is developed and integrated with the IRIS mote hardware/software platform for multichannel strain gauge signal conditioning and wireless monitoring. Measurement results confirm the sensor’s functionality regarding its static and dynamic characterization. Furthermore, in order to verify the functionality of the designed wireless strain sensor for dynamic strain monitoring, a cluster-star network evaluation system is developed for strain modal testing on an experimental steel truss structure. Test results show very good agreement with the finite element (FE) simulations. This paper demonstrates the feasibility of the proposed WSSN for large structural dynamic strain monitoring.

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