A Comparative Study of the Data-Driven Stochastic Subspace Methods for Health Monitoring of Structures: A Bridge Case Study

Shokravi, Hoofar; Shokravi, Hooman; Bakhary, Norhisham; Koloor, Seyed Saeid Rahimian; Petrů, Michal

doi:10.3390/app10093132

Cited by 21 publications

(14 citation statements)

References 45 publications

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“…In general, at lower frequencies, background noise disturbs the measurement e.g., vibrations from vehicles and noise from pumps or from flowing medium. Acoustic emission is especially used in places where leak size estimation is not as necessary as the accuracy [20,31,32].…”

Section: Acoustic Methodsmentioning

confidence: 99%

“…The wall thickness is calculated by measuring the time difference between two consecutive echoes from the outer and inner surfaces of the pipe [78][79][80]. The data of wall thickness and stand-off signal are combined together to understand the difference between internal and external material losses in the pipe, as shown in Figure 4 [32,81]. The UT sensors are available in fixed as well as portable forms [71].…”

Section: Ultrasonic Testing Sensormentioning

confidence: 99%

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Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries

Sharma

Singh

Gupta

et al. 2021

ASI

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There has been enormous growth in the energy sector in the new millennium, and it has enhanced energy demand, creating an exponential rise in the capital investment in the energy industry in the last few years. Regular monitoring of the health of industrial equipment is necessary, and thus, the concept of structural health monitoring (SHM) comes into play. In this paper, the purpose is to highlight the importance of SHM systems and various techniques primarily used in pipelining industries. There have been several advancements in SHM systems over the years such as Point OFS (optical fiber sensor) for Corrosion, Distributed OFS for physical and chemical sensing, etc. However, these advanced SHM technologies are at their nascent stages of development, and thus, there are several challenges that exist in the industries. The techniques based on acoustic, UAVs (Unmanned Aerial Vehicles), etc. bring in various challenges, as it becomes daunting to monitor the deformations from both sides by employing only one technique. In order to determine the damages well in advance, it is necessary that the sensor is positioned inside the pipes and gives the operators enough time to carry out the troubleshooting. However, the mentioned technologies have been unable to indicate the errors, and thus, there is the requirement for a newer technology to be developed. The purpose of this review manuscript is to enlighten the readers about the importance of structural health monitoring in pipeline and wind turbine industries.

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Section: Acoustic Methodsmentioning

confidence: 99%

Section: Ultrasonic Testing Sensormentioning

confidence: 99%

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries

Sharma

Singh

Gupta

et al. 2021

ASI

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“…An SHM system implements strategies for the damage detection of structures [29][30][31]. Currently, SHM is known as a well-established tool for the diagnosis of damages in civil engineering communities and it is employed in a number of different structures, such as buildings, bridges, and dams.…”

Section: Structural Health Monitoring (Shm)mentioning

confidence: 99%

Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview

Shokravi

Bakhary

et al. 2020

Applied Sciences

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Structural health monitoring (SHM) is the main contributor of the future’s smart city to deal with the need for safety, lower maintenance costs, and reliable condition assessment of structures. Among the algorithms used for SHM to identify the system parameters of structures, subspace system identification (SSI) is a reliable method in the time-domain that takes advantages of using extended observability matrices. Considerable numbers of studies have specifically concentrated on practical applications of SSI in recent years. To the best of author’s knowledge, no study has been undertaken to review and investigate the application of SSI in the monitoring of civil engineering structures. This paper aims to review studies that have used the SSI algorithm for the damage identification and modal analysis of structures. The fundamental focus is on data-driven and covariance-driven SSI algorithms. In this review, we consider the subspace algorithm to resolve the problem of a real-world application for SHM. With regard to performance, a comparison between SSI and other methods is provided in order to investigate its advantages and disadvantages. The applied methods of SHM in civil engineering structures are categorized into three classes, from simple one-dimensional (1D) to very complex structures, and the detectability of the SSI for different damage scenarios are reported. Finally, the available software incorporating SSI as their system identification technique are investigated.

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“…Concrete is a construction material that is widely used in buildings [1,2], bridges [3][4][5], and other civil structures [6,7]. The application of nanoparticles in concrete has received great attention recently because of the ultrafine size of their particles [8].…”

Section: Introductionmentioning

confidence: 99%

Effect of Alumina Additives on Mechanical and Fresh Properties of Self-Compacting Concrete: A Review

et al. 2021

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Self-compacting concrete (SCC) has been increasingly used in the construction sector due to its favorable characteristics in improving various durability and rheology aspects of concrete such as deformability and segregation resistance. Recently, the studies on the application of nano-alumina (NA) produced from factory wastes have been significantly considered to enhancing the performance, and mechanical strength, of SCC. Many experimental works show that NA can be used in SCC with appropriate proportion to enjoy the benefits of improved microstructure, fresh and hardened properties, durability, and resistance to elevated temperature. However, a limited detailed review is available to particularly study using NA to improve the performance of SCC, so far. Hence, the present study is conducted to fill the existing gap of knowledge. In this study, the effect of using NA in improving rheological, mechanical parameters, and elevated temperature resistance of SCC is reviewed. This research summarized the studies in this area, which have been different from the previous researches, and provided a discussion on limitations, practical implications, and suggestions for future studies.

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A Comparative Study of the Data-Driven Stochastic Subspace Methods for Health Monitoring of Structures: A Bridge Case Study

Cited by 21 publications

References 45 publications

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries

Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview

Effect of Alumina Additives on Mechanical and Fresh Properties of Self-Compacting Concrete: A Review

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