Wireless intelligent sensor network for autonomous structural health monitoring (original) (raw)
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STATE OF THE ART REVIEW OF STRUCTURAL HEALTH MONITORING FOR BRIDGES USING WIRELESS SYSTEM TECHNIQUES
2019
Structural Health Monitoring (SHM) has become a basic concept in our life. It is related with variety disciplines such as Civil Engineering, Aerospace Engineering, Mechanical Engineering, and Marines Engineering …etc. It used for monitoring any structure during his lifetime against anything happened to it under direct or indirect loads. It gives a diagnosis of the state of the structure at every moment of its residual life, improve understanding of the structural behaviour and detects any change occurs to any component of it or for all structure through some devices (Sensors) may be wired or wireless incorporating micro and nano technology in their components putting on it or on the part under study. These sensors relate to data collectors which transmitted data through communication system to laptop or computer for processing. These data help decision makers to make a decision for the structure and what it need from maintenance or rebuilt and determine the residual life for it. Also, SHM plays an important role in cost management where it will decrease the cost of maintenance comparing with periodic maintenance, decrease downtime and increase reliability for end users. In this paper historical review and Egyptian case study are formulated to evaluate the effectiveness of structural health monitoring using wireless system techniques. The review article concluded that with the time SHM will change design parameters for the structure and new design concept will appear.
IABSE Symposium, Weimar 2007: Improving Infrastructure Worldwide, 2007
Acoustic emission techniques (AET) are an alternative monitoring method to investigate the status of a bridge or some of its components. It has the potential to detect defects in terms of cracks occurring during the routine use of bridges. A monitoring system for large structures is developed based on a new kind of MEMS sensors as well as conventional sensors requiring just very low power. Besides the sensors the recording and analysis technique needs powerful algorithms to handle and to reduce the immense amount of data. Systems developed for structural health monitoring use embedded network techniques along with wireless communication and MEMS. Algorithms to reduce the amount of data and to enable the localization of damage areas by array techniques have to be developed. The paper is giving an overview about data processing and analysis techniques needed for wireless sensor networks with respect to structural health monitoring. The focus is especially in the field of acoustic emis...
Hardware-accelerated Wireless Sensor Network for Distributed Structural Health Monitoring
Procedia Technology, 2014
Civil infrastructure objects are subject to safety-related issues such as increasing loads and extended service live. Costly manual inspections of these structures should therefore be supplemented by automated continuous monitoring. In this work, a hardwareaccelerated wireless sensor network built entirely with energy-efficient embedded components is proposed as the basis for a distributed structural health monitoring (SHM) implementation. In addition to detection and localization of structural damage, the energy-efficiency of the wireless data acquisition system is the major topic of this work. By utilizing the Random-Decrement (RD) technique, the structure's modal parameters are acquired based on ambient excitation such as wind or traffic. The RD functions are calculated by a Field-Programmable Gate Arrays (FPGA) designed for mobile applications. To demonstrate the benefits of the proposed monitoring network, the model of a truss bridge is excited by a train set to simulate realistic operational excitations. Dominant mode shapes of the bridge model are extracted from the RD functions using frequency domain Operational Modal Analysis and compared to previously determined reference measurements. The loosening of a single bolted joint simulates damage and is found to be reflected in significant deviations of the first vertical bending mode, located at 68 Hz.
2008
With advances in sensor technology and availability of low cost integrated circuits, a wireless monitoring sensor network has been considered to be the new generation technology for structural health monitoring. Wireless Intelligent Sensor and Actuator Network (WISAN) has hence been developed as a vibration based structural monitoring network that allows extraction of mode shapes from output-only vibration data from a structure. The mode shape information can further be used in modal methods of damage detection. This network has been tested on a pre-stressed concrete bridge in Kuala Lumpur, Malaysia. The results have been compared with a similar sized steel girder bridge.
Applications Of Wireless Sensor Nodes In Structural Health Monitoring: A Review
2016
Structural Health Monitoring (SHM) strategies are used to analyze the structural response and used to effectively detect, locate, and assess damage caused by progressive environmental deterioration and continuous loading effect. Wireless sensing network (WSN) is the rapid development technology frequently used in the design and implementation of SHM system. WSN is a low cost, easy to deploy, fast and reliable technology for SHM. Wireless nodes are deployed on structure for measuring parameters like acceleration and temperature. All wireless nodes are identical to each other and have onboard sensors. These sensor nodes can receive and transmit the data from neighboring nodes which are connected in star, tree or mesh topology. The base station through multiple hop relays will receive data from the entire neighboring node. Different frequency channels and radio output power levels will gauge the performance of nodes. SHM is witnessing intense research efforts in mechanical, aerospace, ...
A Review on Structural Health Monitoring in Wireless Sensor Networks
Wireless Sensor Networks have gained popularity due to their real time applications and low-cost nature. These networks provide solutions to scenarios that are critical, complicated and sensitive like military fields, habitat monitoring, and disaster management. The nodes in wireless sensor networks are highly resource constrained. Routing protocols are designed to make
DEVELOPMENT AND BENCHMARKING OF NEW WIRELESS SENSORS FOR STRUCTURAL HEALTH MONITORING
Traditional methods employed to sense strain or accelerations require a wire to run between the sensors located at some place in the structure to the data acquisition system. This requirement of a wire to connect the sensor and the data acquisition system results in several practical difficulties. Therefore an attempt is made to see if this transmission could be made wireless. Towards this, a wireless sensing node is indigenously developed whose details are presented. Each wireless node has two sensors an accelerometer and electrical strain gauge. The accelerometer wakes up the wireless node when the sensed acceleration crosses a set threshold. Then, the acceleration or strain is recorded. Once the acceleration drops below the set value for a particular duration, the node goes to power saving mode and does not record the data. Benchmarking of this node in laboratory and field conditions has been completed and these data reported here.
AN AUTONOMOUS NETWORKED WIRELESS DEVICE FOR STRUCTURAL HEALTH MONITORING
SHM is widely recognized as an important aid for improving the safety and reducing the maintenance cost of infrastructures. The expense associated with autonomous monitoring often limits this practice to structures with particular strategic, historical or economic importance. Analysis of the associated costs indicates that design, installation, software customization, and calibration comprise the bulk of the expense. This paper describes an autonomous monitoring device designed to achieve dramatic reductions in SHM costs. The device incorporates a variety of self-referenced sensors, is battery-powered, and communicates using the GSM/GPRS mobile phone network, eliminating the need for cables. Embedded in the device are sensors for temperature, tilt, and acceleration. A digital camera, as well as displacement sensors, load cells, strain gauges, and other analog or digital sensors can be added without requiring additional conditioning electronics or power sources. The data collected, any alarms triggered, and software anomalies detected are written to the internal memory and automatically delivered through SMS messages, email, and FTP.