Smart sensing for structural health monitoring (S3HM) (original) (raw)

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 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.

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 Sensing in the Light of Non-Destructive Testing and Structural Health Monitoring

Non-destructive testing (NDT) is based on physical princi-ples where acoustics and electromagnetics play a very sig-nificant role. NDT is specifically performed at damage critical locations and at defined intervals in time. Hand held but possibly also automated inspection processes are com-mon. However often the locations to be inspected are quite hidden or generally difficult to access and may therefore lead to a time and hence cost consuming process. A means to alleviate those disadvantages has emerged with advanced sensor and materials technologies which allow sensors, or better sensor systems, to be adapted or generally integrated onto or into a structural component allowing NDT to become an integral part of the component. This is what is considered today to be structural health monitoring (SHM). Many of the SHM systems can therefore be seen as derivatives of NDT technology developed in a classical way. This paper will make reference to a variety of vibrations and elastic waves ...

Decentralized structural health monitoring using smart sensors

SPIE Proceedings, 2008

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, Structural Health Monitoring (SHM) has been considered to provide information on the current state of structures by measuring structural vibration responses and other physical phenomena and conditions. Civil infrastructure is typically large-scale, exhibiting a wide variety of complex behavior; estimation of a structure's state is a challenging task. While SHM has been and still is intensively researched, further efforts are required to provide efficient and effective management of civil infrastructure. 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. Efforts toward realization of SHM systems using smart sensors, however, have not resulted in full-fledged applications. All efforts to date have encountered difficulties originating from limited resources on smart sensors (e.g., small memory size, small communication throughput, limited speed of the CPU, etc.). To realize an SHM system employing smart sensors, this system needs to be designed considering both the characteristics of the smart sensor and the structures to be monitored. This research addresses issues in smart sensor usages in SHM applications and realizes, for the first time, a scalable and extensible SHM system using smart sensors. The ix CONTENTS LIST OF FIGURES .

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.

Structural Health Monitoring in Smart Structures Through Time Series Analysis

Structural Health Monitoring, 2008

Nowadays there is great interest in structural damage detection using non-destructive tests. Once the failure is identified, as for instance a crack, it is possible to plan the next step based on a predictive maintenance program. There are several different approaches that can be used to obtain information about the existence, location and extension of the fault in mechanical systems by non destructive tests. This paper presents a technique for structural health monitoring (SHM) based on Lamb waves approach using piezoelectric material as actuators and sensors. Lamb waves are a form of elastic perturbation that remains guided between two parallel free surfaces, such as the upper and lower surfaces of a plate, beam or shell. Lamb waves are formed when the actuator excites the surface of the structure with a pulse after receiving a signal. In this context, a flexible plate using three PZT actuators and three PZT sensors was used to make the configuration of the Lamb waves approach. The aluminum plate was represented by a model of second order written in modal coordinates. Structural damages were simulated through reduction of the stiffness in one element. The results showed with clarity the location of the simulated damage; so, proving the viability of the presented methodology.

Editorial Special Issue on Sensors Systems for Structural Health Monitoring

IEEE Sensors Journal, 2000

New Zealand, as a Senior Lecturer. Currently, he is working as an Associate Professor with the School of Engineering and Advanced Technology, Massey University. He has authored over 200 papers in different international journals and conferences, coauthored a book and wrote a book chapter and edited eight conference proceedings. He has been a guest editor of three international journal special issues. His fields of interest include smart sensors and sensing technology, electromagnetics, control, electrical machines, and numerical field calculation, etc.