Structural Health Monitoring Using Iot

2019 ◽  
pp. 144-147
Author(s):  
Sureshkumar M.P ◽  
Vennila G.
Keyword(s):  
Structural Health Monitoring ◽  
Construction Industry ◽  
Health Monitoring ◽  
Continuous Monitoring ◽  
Processing Technique ◽  
Harsh Environments ◽  
Signal Processing Technique ◽  
Computing Technique ◽  
Structural Health ◽  
The World

In construction industry maintenance should be given utmost importance and focus. For continuous monitoring of maintenance Internet of Things (IoT) can be used. IoT can be used to monitor the structure from anywhere. Structural health monitoring using IoT is the latest technique employed all over the world, especially the buildings exposed to harsh environments. Sensors were used to collect the data from the structure from which we can identify the deterioration and the method to rectify. Cloud computing technique was also employed. A simple signal processing technique helps us to interact with buildings, which was the blessing of IoT.  This paper presents the state of art survey about current research and implementations put into practice.

scholarly journals Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7067
Author(s):  
Jia-Hao He ◽  
Ding-Peng Liu ◽  
Cheng-Hsien Chung ◽  
Hsin-Haou Huang
Keyword(s):  
Structural Health Monitoring ◽  
Infrared Thermography ◽  
Mode Shape ◽  
Health Monitoring ◽  
Large Scale ◽  
Frame Structure ◽  
Harsh Environments ◽  
Thermal Imager ◽  
Heat Sources ◽  
Structural Health

In this study, infrared thermography is used for vibration-based structural health monitoring (SHM). Heat sources are employed as sensors. An acrylic frame structure was experimentally investigated using the heat sources as structural marker points to record the vibration response. The effectiveness of the infrared thermography measurement system was verified by comparing the results obtained using an infrared thermal imager with those obtained using accelerometers. The average error in natural frequency was between only 0.64% and 3.84%. To guarantee the applicability of the system, this study employed the mode shape curvature method to locate damage on a structure under harsh environments, for instance, in dark, hindered, and hazy conditions. Moreover, we propose the mode shape recombination method (MSRM) to realize large-scale structural measurement. The partial mode shapes of the 3D frame structure are combined using the MSRM to obtain the entire mode shape with a satisfactory model assurance criterion. Experimental results confirmed the feasibility of using heat sources as sensors and indicated that the proposed methods are suitable for overcoming the numerous inherent limitations associated with SHM in harsh or remote environments as well as the limitations associated with the SHM of large-scale structures.

scholarly journals Toward the development of standardized procedures for structural health monitoring

2019 ◽  
Author(s):  
Maria Pina Limongelli
Keyword(s):  
Structural Health Monitoring ◽  
Nondestructive Testing ◽  
Health Monitoring ◽  
Structural Response ◽  
Health Conditions ◽  
Practical Implementation ◽  
Civil Structures ◽  
Structural Health ◽  
The World ◽  
Limited Diffusion

<p>Monitoring of structural health conditions is performed using different methods that range from periodic surveys including nondestructive testing at selected locations, to permanent monitoring using network of sensors continuously recording the structural response. These procedures aim at providing detection of possible faults or deterioration processes in order to optimally manage civil structures and infrastructures over the lifecycle. To date several guidelines have been published by different countries all over the world but protocols to apply SHM are generally not defined nor enforced. This is likely to be of the reasons that stand behind the limited diffusion and implementation of SHM for routine operations of condition assessment. In this paper building the principal aspects of the SHM process are presented and the need of the development of protocols for the different phases of the SHM process, from design to practical implementation and use are outlined.</p>

Osmangazi Bridge Structural Health Monitoring System

2019 ◽  
Author(s):  
Fatih Zeybek
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Structural Parameters ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System ◽  
The World ◽  
Maintenance Activities ◽  
Hybrid Devices

<p>Osmangazi Bridge is the fourth longest span bridge in the world with it’s 1550 meter main span. The bridge and the first phase of the motorway were opened to traffic on 30th June, 2016.</p><p>Osmangazi Bridge is heavily instrumented with various hybrid devices for monitoring the real-time structural behavior (such as vehicular weight, wind speed, seismic, other environmental and structural parameters) and effects on the bridge (such as strains, acceleration, displacement, temperature).</p><p>This paper summarizes the basics of the Osmangazi Bridge’s SHMS (Structural Health Monitoring System) that’s used together with visual inspections, tests and subcontrol systems to make assessment and optimize the required maintenance activities of bridge</p>

Automated Operational Modal Analysis as Structural Health Monitoring Tool: Theoretical and Applicative Aspects

2007 ◽  
Vol 347 ◽  
pp. 479-484 ◽  
Author(s):  
Carlo Rainieri ◽  
Giovanni Fabbrocino ◽  
E. Cosenza
Keyword(s):  
Structural Health Monitoring ◽  
Modal Analysis ◽  
Health Monitoring ◽  
Continuous Monitoring ◽  
Environmental Issues ◽  
Operational Modal Analysis ◽  
Civil Structures ◽  
Operational Conditions ◽  
Structural Health ◽  
The University

The aim of structural health monitoring for civil structures is not only detection of sudden or progressive damages but also monitoring their performance under operational conditions or under some particular environmental issues such as earthquakes. Seismic protection of buildings at risk can be reached increasing the knowledge of the structural behavior of existing constructions. This circumstance points out the opportunity of monitoring the performance of civil structures over their operational lives. The present paper deals with automated Structural Health Monitoring (SHM) technologies adopted for the School of Engineering Main Building at the University of Naples “Federico II”. In particular, the attention is focused on the development of an automated procedure based on the Operational Modal Analysis (OMA) that must ensure the continuous monitoring and extraction of the modal parameters of the building. Some numerical examples are then discussed in order to point out effectiveness of the algorithm and relevant issues that need to be improved.

Design of a Long-Term Monitoring System for a PSC Continuous Box-Girder Bridge

2014 ◽  
Vol 619 ◽  
pp. 1-9 ◽  
Author(s):  
Chuang Chen ◽  
R. Kaloop Mosbeh ◽  
Zong Lin Wang ◽  
Qing Fei Gao ◽  
Jun Fei Zhong
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Continuous Monitoring ◽  
Variable Cross ◽  
Box Girder ◽  
Structural Health ◽  
Box Girder Bridge ◽  
Girder Bridge

Structural Health Monitoring is becoming an increasingly common tool to obtain the long-term performance of infrastructures and buildings. Many structural health monitoring systems were developed and applied to different bridges in the world. However, very little is known on the applications in extreme cold environment. Fu Sui Bridge, a 1070 m variable cross-section continuous box-girder bridge, is located in the coldest province -- Heilongjiang province, China. In order to monitor the static and dynamic responses of the bridge under the traffic and environmental variation, a long-term continuous monitoring system was designed and installed on Fu Sui Bridge in April 2012. A hydrostatic leveling system was used to measure the displacement and fiber Bragg grating sensors were used to measure strain, acceleration and temperature. Moreover, other necessary components including data acquisition and transmission, data calculation and analysis software are also described. Summer and winter monitoring data are also presented. This paper focuses on: (1) the design and installation of the long-term continuous monitoring system hardware and (2) the operating pattern and function of the automatic monitoring system. After more than one year successful conducting, the system has provided a large amount of data records for daily management and research of the bridge. This system can be applied to extremely cold region.

Structural Health Monitoring of Glass/Epoxy Composite Plates Using PZT and PMN-PT Transducers

2010 ◽  
Vol 133 (1) ◽  
Author(s):  
Valeria La Saponara ◽  
David A. Horsley ◽  
Wahyu Lestari
Keyword(s):  
Signal Processing ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Wavelet Transforms ◽  
Composite Structures ◽  
Mode Conversion ◽  
High Stress ◽  
Composite Plates ◽  
Signal Processing Technique ◽  
Structural Health

The structural health monitoring of composite structures presents many challenges, ranging from sensors’ reliability and sensitivity to signal processing and a robust assessment of life to failure. In this research project, sensors constructed with both PZT-4 ceramic and single-crystal PMN-PT, i.e., Pb(Mg1/3Nb2/3)O3−PbTiO3, were investigated for structural health monitoring of composite plates. Fiberglass/epoxy specimens were manufactured with a delamination starter located in the middle of the plate, and were subjected to axial tensile fatigue at a high stress ratio. A surface-mounted PMN-PT pair and a surface-mounted PZT-4 pair were positioned on each side of the delamination starter and excited in turns at set intervals during fatigue loading. This project had two goals: (1) assess the performance of the two piezoelectric materials and (2) develop a signal processing technique based on wavelet transforms capable of detecting damage features that are independent of the transducers (being damaged concurrently to the host composite specimens) and thus can estimate life to failure of the composite specimens. Results indicate that the PMN-PT transducers may be more resilient to fatigue damage of the host structure and possibly generate less dispersive Lamb waves. However, these aspects are compounded with higher costs and manufacturing difficulties. Moreover, the proposed signal processing method shows promise in estimating impending failure in composites: It could, in principle, capture and quantify the complex wave propagation problem of dispersion, scattering, and mode conversion across a delamination front, and it will be further investigated.

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