A subgrade cracking monitoring sensor based on optical fiber sensing technique

Liu, Wanqiu; Zhou, Haibin; Wang, Boshi; Zhao, Yanqing; Leng, Zhen; Chen, Xijie; Li, Linhua; Wang, Shujuan; Chen, Zhiguo

doi:10.1002/stc.2213

Cited by 22 publications

(7 citation statements)

References 37 publications

(43 reference statements)

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“…Rayleigh damping is used to simulate material viscosity. The damping ratio of the pavement structure is generally between 0.02 and 0.2, and is set to 0.05 [15]. 2) Model size: The size of the road model (x, y, z) is 9.0m x 6.5m x 4m, the X-axis is the longitudinal direction of the road, the Y-axis is the lateral direction of the road, Z is the vertical direction of the road, and the driving direction is along the positive direction of the X-axis.…”

Section: Establishment Of Finite Element Model For Pavement Structurementioning

confidence: 99%

Data Fusion Model of Road Sensors based IoT Feature Clustering

Ye¹

2022

IJACSA

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The collection of traffic data can play a role in analyzing and predicting highway design, planning, and realtime traffic management. The accuracy requirements for road dynamic data collection are low, and the accuracy is usually 3%-5%. However, it is required that vehicles can pass at high speed and obtain traffic information such as vehicle classification and vehicle speed. The prerequisite for the application of Internet of Things (IoT) technology to road information monitoring lies in the research and development of sensor technology in the perception layer and communication technology in the network layer, so that can obtain a large amount of perception data to serve the development and application of algorithms. To achieve the goal of low-cost and long-term monitoring of comprehensive traffic information and road service status information, this paper constructs a road vibration monitoring system, carries out road vibration monitoring under complex road environments, and proposes a traffic information monitoring method driven by road vibration data. By deploying the pavement vibration monitoring system in the actual road, the original signal of pavement vibration under the action of vehicle moving load is obtained. Through smooth processing and eigenvalue extraction, the monitoring of vehicle speed, wheelbase driving direction, vehicle load position and traffic flow is realized. The experimental results prove that the analysis of the road dynamic response under working conditions, as well as smoothing processing and eigenvalue extraction, the numerical modeling method in this paper realizes the monitoring of the position of the vehicle load and the traffic flow. The calculation error of vehicle speed and wheelbase is within ±4%, which is helpful to find the characteristic index of road vibration signal for evaluating road service status, and provides a reference for the application of road vibration response in road damage early warning and scientific maintenance.

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Section: Establishment Of Finite Element Model For Pavement Structurementioning

confidence: 99%

Data Fusion Model of Road Sensors based IoT Feature Clustering

Ye¹

2022

IJACSA

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“…Subgrades may deform owing to factors, such as rainfall and long‐term cyclic loads, which in turn, may result in the deformation and even damage of its superstructure 1,2 . For handling such problems, typically, a combination of anti‐slide piles is used.…”

Section: Introductionmentioning

confidence: 99%

Working mechanism and method for theoretical calculation of arch–chord coupled anti‐sliding structure

Xia

Ruan

et al. 2021

Engineering Reports

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With the increase in the mileage of high‐speed railways around the world, subgrade problems related to the same have been emerging in large numbers. In view of the shortcomings of slow construction speed and large disturbance caused by conventional anti‐slide piles during emergency reinforcement of subgrades, an “arch–chord coupled anti‐slide structure” is proposed in this study, based on the three‐dimensional characteristics of the subgrade creep, and its anti‐slide mechanism is analyzed; furthermore, a theoretical calculation method for the same is proposed. The results show that the arch–chord coupled anti‐sliding structure can form a coupled body containing multiple surrounded piles when subjected to thrust, thus offering a pile–soil composite structure similar to a retaining wall. This results in a large anti‐sliding force. By setting a virtual pile to regularize the layout of the structural pile, the pile internal force can be accurately computed. The findings of this study provide a theoretical basis for the analysis and design of coupled anti‐sliding structures in future.

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“…Up to now, many experimental and numerical studies have been devoted to investigate the fracturing behaviors and damage evolution process of rock and rock‐like materials 3–19 . And through the above researches, numerous health monitoring methods for detecting the deformation and fracture process of rock and rock‐like materials have emerged, including acoustic emission techniques, 3–6 optical fiber sensing, 7 ultrasonic wave, 8,9 nuclear magnetic resonance techniques, 10 infrared thermal imaging techniques, 11 digital imaging and X‐ray CT imaging techniques, 3,12,13 and electromagnetic radiation techniques 14–17 .…”

Section: Introductionmentioning

confidence: 99%

“…Up to now, many experimental and numerical studies have been devoted to investigate the fracturing behaviors and damage evolution process of rock and rock-like materials. [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] And through the above researches, numerous health monitoring methods for detecting the deformation and fracture process of rock and rock-like materials have emerged, including acoustic emission techniques, [3][4][5][6] optical fiber sensing, 7 ultrasonic wave, 8,9 nuclear magnetic resonance techniques, 10 infrared thermal imaging techniques, 11 digital imaging and X-ray CT imaging techniques, 3,12,13 and electromagnetic radiation techniques. [14][15][16][17] Among these methods, electromagnetic radiation techniques are now widely used in the field of mining engineering for structural health monitoring due to its advantages of continuous, real time, non-contact, and so forth.…”

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confidence: 99%

Experimental investigation on time‐frequency evolution characteristics of electromagnetic radiation below ULF reflecting the damage performance of coal or rock materials

Yang

Rui

et al. 2021

Structural Contr & Hlth

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As a form of energy dissipation, electromagnetic radiation (EMR) is gradually becoming a mainstream method prediction method for damage monitoring of coal and rock. To better improve the prediction accuracy of EMR, it is crucial to investigate time-frequency characteristics of EMR and the influence of coal and rock properties on EMR that occurs in the fracture process. In this paper, the deformation and fracture process of raw coal, shaped coal, and cement specimens under compression are observed, and time-frequency evolution characteristics of EMR below ultralow frequency (ULF) under different loading stages are evaluated. Then, the inherent reasons of time-frequency evolution of EMR reflecting the damage performance are analyzed. Meanwhile, the effect of loading condition and composition and structure of materials on EMR is discussed. Results show that there is obvious EMR below ULF in the deformation and fracture process of coal and rock materials, and the combined denoising method of ensemble empirical mode decomposition (EEMD) and wavelet is suitable for extraction of EMR. Besides, the amplitude is approximately inversely proportional to frequency of electromagnetic signals, and the relationship between pulse count of EMR and damage is related to the homogeneity of coal and rock materials. Moreover, the time-frequency characteristic parameter of EMR, such as amplitude, pulse count, and frequency spectrum, can indirectly reflect the damage evolution process of coal and rock. These results can provide a theoretical basis for remote monitoring of coal and rock dynamic disaster using EMR below ULF.coal and rock materials, damage evolution j EEMD, electromagnetic radiation, timefrequency characteristics | INTRODUCTIONThe safe development of the coal industry is crucial to the economic lifeline and energy security of the country, especially in coal-dependent countries such as China, India, and South Africa. With the increasing mining depth, high

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A subgrade cracking monitoring sensor based on optical fiber sensing technique

Cited by 22 publications

References 37 publications

Data Fusion Model of Road Sensors based IoT Feature Clustering

Data Fusion Model of Road Sensors based IoT Feature Clustering

Working mechanism and method for theoretical calculation of arch–chord coupled anti‐sliding structure

Experimental investigation on time‐frequency evolution characteristics of electromagnetic radiation below ULF reflecting the damage performance of coal or rock materials

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