scholarly journals Techniques for Processing Experimental Data for Structural Health Monitoring of Bridges

2022 ◽  
Vol 19 (4) ◽  
pp. 22-33
Author(s):  
N. M. Kvashnin ◽  
I. S. Bondar ◽  
M. Ya. Kvashnin
Keyword(s):  
Structural Health Monitoring ◽  
Bearing Capacity ◽  
Health Monitoring ◽  
Strain State ◽  
Technical Condition ◽  
Strain Gauges ◽  
Vertical Load ◽  
Stress Strain ◽  
Artificial Structures ◽  
Structural Health

Reliability of transport artificial structures and transit of trains at sanctioned speed should be provided with the necessary and sufficient load-bearing capacity, strength, rigidity, and stability of engineering structures.The objective of this work was to substantiate the possibility of using well-known methods for controlling the stress-strain state of structures using automated systems of structural health monitoring of bridge spans.It is extremely important regarding operation of transport artificial structures designed according to the standards of the first half of the 20th century.Under these conditions, the experimental determination of the stress-strain state of bearing structures of bridges becomes the most important component of the task of a comprehensive assessment of physical wear and tear as well as of operational reliability of the structures. Monitoring the structural health and technical condition of bridges and planning of timely measures aimed at the repair, strengthening or reconstruction of spans will extend their service life and ensure safety during operation.Maximum permissible deflections of spans under a movable temporary vertical load have been revealed since to ensure smooth movement of vehicles it is necessary to control horizontal longitudinal and transverse displacements of the top of the bridge piers, as well as vertical settlements.The paper suggests methods of interpreting data measured by inclinometers and electric strain gauges, tensiometers to use them in an automated system for monitoring the structural health of railway bridges. The method of strain measurement is described in detail in the proposed options for installing resistance strain gauges on structures to measure tensile-compression stresses and longitudinal forces due to a temporary vertical load.Monitoring the technical condition of bridge structures, using the methods for measuring deflections and deformations proposed by the authors in this article, will make it possible to assess the change in bearing capacity of the structure over the entire period of operation. The study used regulations and experience of the Russian Federation and the Republic of Kazakhstan. 

Blockchain-Enabled Internet of Things for Unsupervised Structural Health Monitoring in Potential Building Structures

2021 ◽  
pp. 158-170
Author(s):  
Wael Mohammad Alenazy
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Structural Health Monitoring ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Remote Monitoring ◽  
Building Structures ◽  
Stress Strain ◽  
Structural Health ◽  
Automated Decision Making

The integration of internet of things, artificial intelligence, and blockchain enabled the monitoring of structural health with unattended and automated means. Remote monitoring mandates intelligent automated decision-making capability, which is still absent in present solutions. The proposed solution in this chapter contemplates the architecture of smart sensors, customized for individual structures, to regulate the monitoring of structural health through stress, strain, and bolted joints looseness. Long range sensors are deployed for transmitting the messages a longer distance than existing techniques. From the simulated results, different sensors record the monitoring information and transmit to the blockchain platform in terms of pressure points, temperature, pre-tension force, and the architecture deems the criticality of transactions. Blockchain platform will also be responsible for storage and accessibility of information from a decentralized medium, automation, and security.

Structural health monitoring of GFRP laminates using graphene-based smart strain gauges

2018 ◽  
Vol 40 (8) ◽  
Author(s):  
Muhammad Anas ◽  
Muhammad Ali Nasir ◽  
Zeeshan Asfar ◽  
Saad Nauman ◽  
Mehmet Akalin ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Strain Gauges ◽  
Structural Health

Structural Health Monitoring of Rotating Machines in Manufacturing Processes by Vibration Methods

2014 ◽  
Vol 1036 ◽  
pp. 642-647 ◽  
Author(s):  
Rafał Burdzik ◽  
Łukasz Konieczny ◽  
Piotr Folęga
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Vibration Signal ◽  
Technical Condition ◽  
Operating Conditions ◽  
Vibration Monitoring ◽  
Manufacturing Processes ◽  
Diagnostic Systems ◽  
Structural Health ◽  
Run Up

The paper presents results of the active diagnostics experiments on influence of fatigue metal damage of the inner race of bearing and unbalance of rotating masses on vibration generated by the machine. Analysis of vibration related phenomena is a solution commonly applied in Structural Health Monitoring (SHM) systems. The application of vibroacoustics methods for technical condition monitoring has been developed in the past years in many systems of manufacturing processes. Vibroacoustic methods, based on the analysis of vibration or acoustic signals perceived as residual processes of non-invasive nature, is becoming more and more important in this respect. The scope of its application as well as the applicability of methods in numerous diagnostic systems also results from the capabilities of advanced methods of signal analysis and identification of numerous characteristics of technical condition. One of the most common operation damages are caused by rolling bearings wear. The scope of research contains tests on bearing damage and the unbalance of disc. The wear processes and unbalance are closely related to the vibration levels (arising from the mass loss of plastic deformation, and the fatigue damage). The research was conducted on special research test bench for vibration monitoring for rotating machinery. Structural health monitoring of machinery has to be conducted in different states and working conditions of the manufacturing system. Thus for simulating of different operating conditions the experiments have been conducted during run up of the machine which consist the transient states of working and during work on constant rotational speed of the power generate engine. For the identification of the symptoms of the machinery and equipments health monitoring the vibration signal have been analysed in time domain and frequency transformation as well. The performed signals are not stationary. Thus it is better to observe the signal simultaneously in time and frequency domains. For this purpose the spectrograms were determined. Spectrograms computes the short-time Fourier transform of a signal by default divided into segments. During the transformation the Hamming window and noverlap were used. For the comparison of the vibration of good and damage bearings signals registered for different frequencies have been presented in form of spectrograms and RMS distributions.

Fibre Bragg grating sensor applications for structural health monitoring

2018 ◽  
Vol 92 (3) ◽  
pp. 355-367
Author(s):  
Cansu Karatas ◽  
Boray Degerliyurt ◽  
Yavuz Yaman ◽  
Melin Sahin
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Composite Structures ◽  
Composite Beams ◽  
Strain Gauges ◽  
Bragg Grating ◽  
Fibre Bragg Grating ◽  
Content Type ◽  
Structural Health ◽  
Fbg Sensors

Purpose Structural health monitoring (SHM) has become an attractive subject in aerospace engineering field considering the opportunity to avoid catastrophic failures by detecting damage in advance and to reduce maintenance costs. Fibre Bragg Grating (FBG) sensors are denoted as one of the most promising sensors for SHM applications as they are lightweight, immune to electromagnetic effects and able to be embedded between the layers of composite structures. The purpose of this paper is to research on and demonstrate the feasibility of FBG sensors for SHM of composite structures. Design/methodology/approach Applications on thin composite beams intended for SHM studies are presented. The sensor system, which includes FBG sensors and related interrogator system, and manufacturing of the beams with embedded sensors, are detailed. Static tension and torsion tests are conducted to verify the effectiveness of the system. Strain analysis results obtained from the tests are compared with the ones obtained from the finite element analyses conducted using ABAQUS® software. In addition, the comparison between the data obtained from the FBG sensors and from the strain gauges is made by also considering the noise content. Finally, fatigue test under torsion load is conducted to observe the durability of FBG sensors. Findings The results demonstrated that FBG sensors are feasible for SHM of composite structures as the strain data are accurate and less noisy compared to that obtained from the strain gauges. Furthermore, the convenience of obtaining reliable data between the layers of a composite structure using embedded FBG sensors is observed. Practical implications Observing the advantages of the FBG sensors for strain measurement will promote using FBG sensors for damage detection related to the SHM applications. Originality/value This paper presents applications of FBG sensors on thin composite beams, which reveal the suitability of FBG sensors for SHM of lightweight composite structures.

STRUCTURAL HEALTH MONITORING OF NATURAL AND ARTIFICIAL STRUCTURES BASED ON ICE (review)

2020 ◽  
pp. 111-118
Author(s):  
V.V. Makhsidov ◽  
◽  
O.I. Smirnov ◽  
N.D. Razomasov ◽  
T.S. Razomasova ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Artificial Structures ◽  
Structural Health
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