Structural health monitoring

About: Structural health monitoring is a research topic. Over the lifetime, 11727 publications have been published within this topic receiving 186231 citations.

Automated DC Offset Calibration Strategy for Structural Health Monitoring Based on Portable CW Radar Sensor

Abstract: This paper introduces a strategy for automatically selecting dc offset calibration methods on a 24-GHz continuous wave (CW) radar sensor, which measures displacement for the purpose of structural health monitoring Obtaining accurate displacement measurements using CW radar requires the successful application of dc offset calibration This article compares four commonly applied dc offset calibration methods with a focus on each of the methods' accuracy and efficiency for different measurement signal characteristics Simulation results are presented to evaluate the accuracy of each method An advanced systematic strategy for selecting the most appropriate method based on signal characteristics is developed The automated selection strategy is implemented in software and validated on experimental data

Piezoelectric Wafer Active Sensor Structural Health Monitoring of Space Structures

Abstract: Structural Health Monitoring (SHM) is a valuable tool for in-service assessment of structural condition. Despite a broad use in many engineering fields, SHM has seen limited application in space systems. This article explores specifics of SHM applied to space systems and satellites in particular. It is suggested that SHM may be considered for aiding rapid assembly of spacecraft components, monitoring system dynamics during launch, and model updating from an assessment of in-service variation of structural properties. The article presents a discussion of factors affecting realization of the SHM system for spacecraft and provides recommendations for the system configuration and its practical use. The SHM system design based on a network of piezoelectric active sensors is considered. System operation focuses on SHM of improperly tightened bolts, assessment of adhesive bonds, and embedded material characterization techniques. Synergistic use of the same hardware for acoustoelastic, non-linear acoustic, and ma...

Autonomous smart sensor nodes for global and local damage detection of prestressed concrete bridges based on accelerations and impedance measurements

Abstract: This study presents the design of autonomous smart sensor nodes for damage monitoring of tendons and girders in prestressed concrete (PSC) bridges. To achieve the objective, the following approaches are implemented. Firstly, acceleration-based and impedance-based smart sensor nodes are designed for global and local structural health monitoring (SHM). Secondly, global and local SHM methods which are suitable for damage monitoring of tendons and girders in PSC bridges are selected to alarm damage occurrence, to locate damage and to estimate severity of damage. Thirdly, an autonomous SHM scheme is designed for PSC bridges by implementing the selected SHM methods. Operation logics of the SHM methods are programmed based on the concept of the decentralized sensor network. Finally, the performance of the proposed system is experimentally evaluated for a lab-scaled PSC girder model for which a set of damage scenarios are experimentally monitored by the developed smart sensor nodes.

Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification

Abstract: State-of-the-art smart sensor technology enables deployment of dense arrays of sensors, which is critical for structural health monitoring (SHM) of complicated and large-scale civil structures. Despite recent successful implementation of various wireless smart sensor networks (WSSNs) for full-scale SHM, the low-cost micro-electro-mechanical systems (MEMS) sensors commonly used in smart sensors cannot readily measure low-level ambient vibrations because of their relatively low resolution. Combined use of conventional wired high- sensitivity sensors with low-cost wireless smart sensors has been shown to provide improved spectral estimates of response that can lead to improved experimental modal analysis. However, such a heterogeneous network of wired and wireless sensors requires central collection of an enormous amount of raw data and off-network processing to achieveglobal time synchronization; consequently, many of the advantages of WSSNs for SHM are lost. In this paper, the development of a new high-sensitivity accelerometer board (SHM-H) for the Imote2 wireless smart sensor (WSS) platform is presented. The use of a small number of these high-sensitivity WSSs, composed of the SHM-H and Imote2, as reference sensors in the Natural Excitation Technique—based decentralized WSSN strategy is explored and is shown to provide a cost- effective means of improving modal feature extraction in the decentralized WSSN for SHM. DOI: 10.1061/(ASCE)EM.1943-7889 .0000352. © 2012 American Society of Civil Engineers. CE Database subject headings: Structural health monitoring; Probe instruments; Identification; Stochastic models. Author keywords: Structural health monitoring; Wireless smart sensor network; High-sensitivity sensor; System identification; Decentralized sensor network.

A Wireless Sensor Network for Structural Monitoring

Abstract: A Wireless Sensor Network For Structural Monitoring ∗ Ning Xu Sumit Rangwala Alan Broad Krishna Kant Chintalapudi Deepak Ganesan Ramesh Govindan Deborah Estrin ABSTRACT Structural monitoring—the collection and analysis of structural re- sponse to ambient or forced excitation–is an important application of networked embedded sensing with significant commercial po- tential. The first generation of sensor networks for structural mon- itoring are likely to be data acquisition systems that collect data at a single node for centralized processing. In this paper, we dis- cuss the design and evaluation of a wireless sensor network sys- tem (called Wisden) for structural data acquisition. Wisden in- corporates two novel mechanisms, reliable data transport using a hybrid of end-to-end and hop-by-hop recovery, and low-overhead data time-stamping that does not require global clock synchroniza- tion. We also study the applicability of wavelet-based compression techniques to overcome the bandwidth limitations imposed by low- power wireless radios. We describe our implementation of these mechanisms on the Mica-2 motes and evaluate the performance of our implementation. We also report experiences from deploying Wisden on a large structure. General Terms Reliability, Design Keywords Sensor Network, Structural Health Monitoring, Wisden INTRODUCTION Categories and Subject Descriptors C.2.1 [Computer Communication Networks]: Wireless commu- nication; C.3 [Special-Purpose and Application-Based Systems]: Embedded Systems ∗ This material is based upon work supported by the National Sci- ence Foundation under Grants No. 0121778 (Center for Embedded Networked Systems) and 0325875 (ITR: Structural Health Moni- toring Using Local Excitations and Dense Sensing). Any opinions, findings and conclusions or recomendations expressed in this ma- terial are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF). † Computer Science Department, University of Southern California, {nxu, srangwal, chintala, ramesh}@usc.edu ‡ Current Affiliation - Center for Embedded Networked Sensing, Los Angeles § Computer Science Department, University of California, Los An- geles {deepak, destrin}@cs.ucla.edu ¶ Crossbow Technology Inc. abroad@xbow.com Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. SenSys’04, November 3–5, 2004, Baltimore, Maryland, USA. Copyright 2004 ACM 1-58113-879-2/04/0011 ... $ 5.00. Structural health monitoring systems seek to detect and local- ize damage in buildings, bridges, ships, and aircraft. The design of such systems is an active and well-established area of research. When built, such systems would infer the existence and location of damage by measuring structural response to ambient or forced excitation. Wireless sensor networks are a natural candidate for structural health monitoring systems, since they enable dense in- situ sensing and simplify deployment of instrumentation. However, techniques for damage assessment are quite complex, and practical wireless networked structural health monitoring systems are sev- eral years away. Wireless sensor networks do have a more immediate role to play in structural monitoring. Advances in structural engineering de- pend upon the availability of many detailed data sets that record the response of different structures to ambient vibration (caused, for example, by earthquakes, wind, or passing vehicles) or forced excitation (delivered by large special-purpose shakers). Currently, structural engineers use wired or single-hop wireless data acqui- sition systems to acquire such data sets. These systems consist of a device that collects and stores vibration measurements from a small number of sensors. However, power and wiring constraints imposed by these systems can increase the cost of acquiring these data sets, impose significant setup delays, and limit the number and location of sensors. Wireless sensor networks can help address these issues. In this paper, we describe the design of Wisden, a wireless sen- sor network system for structural-response data acquisition. Wis- den continuously collects structural response data from a multi-hop network of sensor nodes, and displays and stores the data at a base station. Wisden can be thought of as a first-generation wireless structural monitoring system; it incorporates some in-network pro- cessing, but later systems will move more processing into the net- work once the precise structural monitoring applications are better understood. In being essentially a data collection system, Wisden resembles other early sensor networks such as those being deployed for habitat monitoring [10]. While the architecture of Wisden is simple—a base station cen- trally collecting data—its design is a bit more challenging than that of other sensor networks built till date. Structural response data is generated at higher data rates than most sensing applications