Decentralized structural health monitoring using smart sensors (original) (raw)
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Smart sensing technology for structural health monitoring
2004
Smart" sensors with embedded microprocessors and wireless communication links have the potential to fundamentally change the way civil infrastructure systems are monitored, controlled, and maintained. Indeed, a 2002 National Research Council Report [1] noted that the use of networked systems of embedded computers and sensors throughout society could well dwarf all previous milestones in the information revolution. However, a framework does not yet exist that can allow the distributed computing paradigm offered by smart sensors to be employed for structural health monitoring and control systems; current algorithms assume that all data is centrally collected and processed. Such an approach does not scale to systems with densely instrumented arrays of sensors that will be required for the next generation of structural health monitoring and control systems. This paper provides a brief introduction to smart sensing technology and identifies some of the opportunities and associated challenges.
Autonomous decentralized structural health monitoring using smart sensors
Structural Control and Health Monitoring, 2009
Though smart sensor technology has seen substantial advances during recent years, implementation of smart sensors on full-scale structures has been limited. Direct replacement of wired sensing systems with wireless sensor networks is not straightforward as off-the-shelf wireless systems are unlikely to provide the data users expect. The difficulty arises, in part, because centralized systems common for wired measurements are not scalable to large numbers of smart sensors. Decentralized computing is required to harvest the rich information that a dense array of smart sensors can make available for structural health monitoring (SHM). Decentralized system can be effectively managed by each sensor node and cluster autonomously performing tasks such as sensing and damage detection. Taking advantage of recent developments in middleware services which provide basic functionality for structural vibration measurements (e.g. synchronized sensing and reliable communication) this paper proposes an autonomous decentralized SHM approach using smart sensors. A set of algorithms that mesh well with the decentralized approach are first proposed and implemented on smart sensors. Finally, experimental validation of the implemented system is given and its damage detection capability is discussed.
Flexible smart sensor framework for autonomous structural health monitoring
2010
Wireless smart sensors enable new approaches to improve structural health monitoring (SHM) practices through the use of distributed data processing. Such an approach is scalable to the large number of sensor nodes required for high-fidelity modal analysis and damage detection. While much of the technology associated with smart sensors has been available for nearly a decade, there have been limited numbers of fullscale implementations due to the lack of critical hardware and software elements. This research develops a flexible wireless smart sensor framework for full-scale, autonomous SHM that integrates the necessary software and hardware while addressing key implementation requirements. The Imote2 smart sensor platform is employed, providing the computation and communication resources that support demanding sensor network applications such as SHM of civil infrastructure. A multi-metric Imote2 sensor board with onboard signal processing specifically designed for SHM applications has been designed and validated. The framework software is based on a service-oriented architecture that is modular, reusable and extensible, thus allowing engineers to more readily realize the potential of smart sensor technology. Flexible network management software combines a sleep/wake cycle for enhanced power efficiency with threshold detection for triggering network wide operations such as synchronized sensing or decentralized modal analysis. The framework developed in this research has been validated on a full-scale a cable-stayed bridge in South Korea.
Smart Sensors for Structural Health Monitoring-Overview , Challenges and Advantages Vimal AGARWAL
2018
Pervasive, large-scale infrastructure forms the backbone of an industrialized nation and thus represents a high capital investment. This key asset of the country, is prone to large scale destruction and potential threats to its life, without sufficient precautions – such as preventative construction designs, health monitoring and maintenance. Structural health monitoring and maintenance of infrastructure is paramount. While Structural Health Monitoring(SHM) using traditional sensor technologies has been extensively researched for over a couple of decades, enthusiastic efforts are being made for the adoption of smart sensors. Smart sensors would provide efficient and sustainable health monitoring, and at the same time can provide precursors to imminent structural health issues, as well as estimates of remaining life, facilitating a timely deployment of remedial. This paper presents a perspective on use of smart sensors to detect and localize damage while meeting the stringent perform...
Smart sensing for structural health monitoring (S3HM)
Proceedings of SMSST'07, World Forum on Smart Materials and Smart Structures Technology (SMSST’07), China, 22-27 May, 2007, 2008
Smart Sensing for Structural Health Monitoring (S3HM) is a collaborative research project running under the ESF (European Science Foundation) Eurocores S3T program.The objective of the project is to combine the most recent developments in sensor and actuator technology, networks, signal processing and computer techniques to explore new avenues in structural health monitoring (SHM). The consortium involves 5 research centres with complementary expertise: smart materials and structures, signal processing, identification, model updating, damage modelling, wave propagation. The project aims at addressing the following issues: using smart sensing technologies for SHM, extracting features relevant to damage and immune to variability, designing robust methods for autonomous SHM systems.
International journal of engineering research and technology, 2018
Industrialized nations have a huge investment in the pervasive civil infrastructure on which our lives rely. To properly manage this infrastructure, its condition or serviceability should be reliably assessed. For condition or serviceability assessment, SHM has been considered to provide information on the current state of structures by measuring structural vibration responses and other physical phenomena and conditions. Smart sensors with embedded microprocessors and wireless communication links have the potential to change fundamentally the way civil infrastructure systems are monitored, controlled, and maintained. The computational and wireless communication capabilities of smart sensors densely distributed over structures can provide rich information for structural monitoring. Structural health monitoring (SHM) is an emerging field in civil engineering, offering the potential for continuous and periodic assessment of the safety and integrity of civil infrastructure. Based on the knowledge of the condition of the structure, certain preventive measures can be taken to prolong the service life of the structure and prevent catastrophic failure. Damage detection strategies can ultimately reduce lifecycle cost. The aim of SHM is to develop automated systems for the continuous monitoring, inspection, and damage detection of structures with minimum labor involvement. Smart sensors, with their on-board computational and communication capabilities, offer new opportunities for SHM. Without the need for power or communication cables, installation cost can be brought down drastically. Smart sensors will help to make monitoring of structures with a dense array of sensors economically practical. Densely installed smart sensors are expected to be rich information sources for SHM. To realize structural health monitoring, employing smart sensor system needs to be designed considering both the characteristic of smart sensor & the structure to be monitored. This paper provides a brief introduction to smart sensing technology and identifies some of the opportunities and associated challenges.
Distributed computing strategy for structural health monitoring
Structural Control and Health Monitoring, 2006
Monitoring of complex structures to provide real-time safety and reliability information regarding the structure poses significant technical challenges. To detect damage in large civil infrastructure systems, densely distributed sensors are expected to be required. Use of traditional wired sensors is challenging for such applications because of the cost and difficulty in deploying and maintaining a large wiring plant. Using wireless sensor network is also difficult because large amounts of measured data need to be transferred to a central station. The bandwidth and power requirement to transfer these data may easily exceed the limit of the wireless sensor. Recently rapid advances in smart sensor technologies have made damage detection using a dense array of sensors feasible. The essential feature of a smart sensor is the on-board microprocessor, which allows smart sensors to make decisions, perform computation, save data locally, etc. By conducting a portion of the computation at the sensor level, only limited information needs to be transferred back to a central station. However, damage detection algorithms which can take advantage of the distributed computing environment offered by smart sensors are currently limited.
Smart Sensing Technologies for Structural Health Monitoring of Civil Engineering Structures
Advances in Civil Engineering, 2010
Structural Health Monitoring (SHM) aims to develop automated systems for the continuous monitoring, inspection, and damage detection of structures with minimum labour involvement. The first step to set up a SHM system is to incorporate a level of structural sensing capability that is reliable and possesses long term stability. Smart sensing technologies including the applications of fibre optic sensors, piezoelectric sensors, magnetostrictive sensors and self-diagnosing fibre reinforced composites, possess very important capabilities of monitoring various physical or chemical parameters related to the health and therefore, durable service life of structures. In particular, piezoelectric sensors and magnetorestrictive sensors can serve as both sensors and actuators, which make SHM to be an active monitoring system. Thus, smart sensing technologies are now currently available, and can be utilized to the SHM of civil engineering structures. In this paper, the application of smart mater...
Smart Sensors and Wireless Technology for Scrutinizing Civil Infrastructure
2013
As the human civilization is growing day by day, the nations are making huge investments in infrastructure and its provision or service ability. Now a days, it becomes very important to monitor the conditions or serviceability of these civil infrastructure in time due to everyday abrasion caused by nature calamities, physical or chemical actions. For this purpose structural health monitoring has been taken into consideration for endowment of information about the situation of civil structures, but estimation of the structural condition or state is quite a challenging task. While the research & work on structural health monitoring is still going on, a smart sensor offers new opportunities for structural health monitoring. To realize structural health monitoring, employing smart sensor system needs to be designed considering both the characteristic of smart sensor & the structure to be monitored. This paper present an idea about smart sensor, their generation and how these to be emplo...
Smart Sensor Technics for Structural Health Monitoring of Civil Engineering Structures
2018
Structural Health Monitoring (SHM) aims to develop automated systems for the continuous monitoring, inspection and damage detection of structures with minimum labour involvement. The first step to set up a SHM system is to incorporate a level of structural sensing capability that is reliable and possesses longterm stability. Smart sensing technologies including the applications of fibre optic sensors, piezoelectric sensors, magnetostrictive sensors and selfdiagnosing fibre reinforced composites, possess very important capabilities of monitoring various physical or chemical parameters related to the health and therefore, durable service life of structures. In particular, piezoelectric sensors and magnetorestrictive sensors can serve as both sensors and actuators, which make SHM to be an active monitoring system. Thus, smart sensing technologies are now currently available, and can be utilized to the SHM of civil engineering structures. In these paper, the application of smart materia...