Recent Progress of Fiber-Optic Sensors for the Structural Health Monitoring of Civil Infrastructure

Wu, Tiange; Liu, Guowei; Fu, Shenggui; Xing, Fei

doi:10.3390/s20164517

Cited by 115 publications

(65 citation statements)

References 157 publications

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“…BCG uses highsensitivity fiber-optic sensor technology, which prevents interference from light on surrounding electromagnetic waves. Even extremely weak signals can be converted into effective electrical signals by increasing the light intensity (36). Therefore, compared with an ordinary sensor, fiber-optic sensors have higher sensitivity.…”

Section: Discussionmentioning

confidence: 99%

Ballistocardiography to identify high left atrial pressure in patients with heart failure

et al. 2021

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Background: Due to a high prevalence and morbidity rate, heart failure (HF) constitutes an immense economic burden on the global health care system. An increase in left atrial pressure (LAP) precedes the occurrence of any HF symptoms. In this study, we applied a novel non-invasive method of ballistocardiography (BCG) to extract early diastolic ventricular vibration waves [the BCG-B3 index, which corresponds to the third heart sound (S3) at the end of the rapid filling phase of diastole]. This study evaluated the predictive value of the BCG-B3 index for LAP in HF patients.Methods: A total of 83 HF patients and 20 patients with underlying diseases were prospectively enrolled, and their cross-sectional BCG and echocardiography (ECHO) data were collected. BCG obtains a signal through a high-precision fiber-optic sensor placed on the patient's back. LAP or pulmonary capillary wedge pressure (PCWP) was estimated by the ratio of mitral inflow peak early diastolic velocity to the early diastolic velocity of the mitral annulus (E/e') or the Nagueh equation (LAP = 1.24 × E/e' + 1.9). To evaluate the diagnostic efficacy of the BCG-B3 index, a receiver operating characteristic (ROC) curve was plotted, and the area under the ROC curve (AUC) was calculated. The best cutoff value for the BCG-B3 index was determined by the maximum Youden index. Results:The correlation coefficient between the BCG-B3 index and E/e' ratio was 0.51 (P<0.01). Under an optimal cutoff value of 55.13, the BCG-B3 index showed a positive consistency value of 0.93, a negative consistency value of 0.53, and an overall consistency value of 0.82 for identification of significantly elevated LAP. Conclusions:The BCG-B3 index derived by noninvasive BCG using a built-in fiber-optic sensor has important diagnostic value for identifying significantly elevated LAP in HF patients with high accuracy.BCG examination is not limited by place or the doctor's experience. Therefore, BCG can provide timely assessments for HF patients, enabling early diagnosis and treatment.

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Section: Discussionmentioning

confidence: 99%

Ballistocardiography to identify high left atrial pressure in patients with heart failure

et al. 2021

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“…An interferometric FOS can be divided into four main categories: Michelson FOS, Mach-Zehnder FOS, Sagnac FOS, and Fabry-Perot (FP) FOS. Figure 8 shows the Fabry-Perot FOS [37]. The principle of operation of interferometric sensors is based on the monitoring of the phase-shift of the propagated light in fiber optic under an applied strain relative to an unstrained reference fiber [3].…”

Section: Interferometric Fosmentioning

confidence: 99%

Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring

et al. 2021

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Structural health monitoring (SHM) is an important aspect of the assessment of various structures and infrastructure, which involves inspection, monitoring, and maintenance to support economics, quality of life and sustainability in civil engineering. Currently, research has been conducted in order to develop non-destructive techniques for SHM to extend the lifespan of monitored structures. This paper will review and summarize the recent advancements in non-destructive testing techniques, namely, sweep frequency approach, ground penetrating radar, infrared technique, fiber optics sensors, camera-based methods, laser scanner techniques, acoustic emission and ultrasonic techniques. Although some of the techniques are widely and successfully utilized in civil engineering, there are still challenges that researchers are addressing. One of the common challenges within the techniques is interpretation, analysis and automation of obtained data, which requires highly skilled and specialized experts. Therefore, researchers are investigating and applying artificial intelligence, namely machine learning algorithms to address the challenges. In addition, researchers have combined multiple techniques in order to improve accuracy and acquire additional parameters to enhance the measurement processes. This study mainly focuses on the scope and recent advancements of the Non-destructive Testing (NDT) application for SHM of concrete, masonry, timber and steel structures.

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“…Another technique for securing and improving for seismic adaptation is the installation of fiber optic sensors for structural monitoring of the building. This is an innovative combined system of fiber optic sensors and accelerometers, capable of sending real-time information on the behavior of the building in the event of seismic stress or other catastrophic events [ 28 ]. The monitoring network sends alert or alarm signals and allows you to identify the most urgent action to be applied, use visual investigations in the event of an alert, or simply study the data recorded by the sensors in the event of a simple alarm [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Innovative Materials in Italy for Eco-Friendly and Sustainable Buildings

et al. 2021

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In the last 20 years, there have been a series of seismic events in Italy that have caused serious damage to civil and building structures. This has led to a significant increase in the use of concrete for the reconstruction of new structures and the repair of existing structures damaged by earthquakes. At the same time, the concrete industry is responsible for the most significant environmental damage during the life cycle of the built environment. The environmental disadvantages characterizing the concrete industry are related to the constant growth of the exploitation of natural aggregates. Therefore, it is necessary to use alternative and innovative aggregates that provide good concrete performance and lower environmental impacts. In this study, a very promising route from an environmental point of view is given by the use of artificial aggregates from industrial waste as substitutes for natural aggregates. An innovative low cost and energy saving granulation process has been employed to produce lightweight aggregates using fly ash from the incineration of municipal solid waste and ground granulated blast furnace slag. The final aim of this research is to demonstrate the environmental sustainability of artificial aggregates, through a comparison of three different mixtures.

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Recent Progress of Fiber-Optic Sensors for the Structural Health Monitoring of Civil Infrastructure

Cited by 115 publications

References 157 publications

Ballistocardiography to identify high left atrial pressure in patients with heart failure

Ballistocardiography to identify high left atrial pressure in patients with heart failure

Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring

Innovative Materials in Italy for Eco-Friendly and Sustainable Buildings

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