Modeling of Whole-Space Transient Electromagnetic Responses Based on FDTD and its Application in the Mining Industry

Yu, Jiadong; Malekian, Reza; Chang, Jianghao; Su, Benyu

doi:10.1109/tii.2017.2752230

Cited by 36 publications

(16 citation statements)

References 21 publications

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“…The transient electromagnetism numerical simulation method in total space was studied by Zhihai Jiang et al with the diffusion of the transient electromagnetic field mainly controlled by low specific resistance [18]. With a model of dynamic responses of underground tunnel constructed by Jingcun Yu et al using the FDTD method, the horizontal component was proposed as one new method to process and explain dynamic data of mines [19]. The unconditional stability CN-FDTD-PML algorithm that can be solved efficiently was studied and proposed by Haolin Jiang, which increased the calculation efficiency [20][21].…”

Section: State Of the Artmentioning

confidence: 99%

Forward Modeling of Water-Rich Regions in Mines Based on Unconditional Stability Finite-Difference Time-Domain

Tian¹,

Ma²,

Zhou³

2019

JESTR

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Water bursting in mines remains one of the major disasters that threatens safe coal production. The traditional detection techniques of water-rich regions in mines can no longer meet new safe production standards and requirements. To solve the constraints on the selection of traditional finite-difference time-domain (FDTD) step length by the Courant-Friedrichs-Lewy stability condition, the unconditional stability Crank-Nicolson FDTD (CN-FDTD) algorithm was introduced into the detection of underground total space, aiming to further increase calculation speed and detection accuracy. The boundary condition of the perfectly matched layer (PML) and numerical stability condition for mine detection were analyzed by studying the basic principle of CN-FDTD. Meanwhile, a detection model of underground water-rich regions was constructed. Influences of excitation function, frequency of excitation source, distance between the anomalous body and the interface, and size of the anomalous body on water-rich region detection were analyzed through Wavenology EM and MATLAB simulation by using the forward algorithm. Results demonstrate that given the same conditions, the Ricker wavelet excitation source has better detection effect than the Blackman-Harris Window (BHW) Function, Gaussian and Delta excitation sources. When the anomalous body is 70 m away from the interface, the excitation source with a central frequency of 15 MHz is the best detection frequency. In addition, forward modeling reveals that when the anomalous body is 50 m away from the interface, the echo signals of a 3 cubic metres anomalous body could still be detected clearly. Theoretically, the existence of an anomalous body can be determined through this echo signal, and its location can be determined through imaging. The study verifies the effective application of CN-FDTD in water-rich region detection in mines. In addition, CN-FDTD solves the constraints of traditional FDTD by stability condition and increases the accuracy of water-rich region detection in mines. This study provides certain theoretical references for the accurate detection of water-rich anomalous bodies in mines.

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Section: State Of the Artmentioning

confidence: 99%

Forward Modeling of Water-Rich Regions in Mines Based on Unconditional Stability Finite-Difference Time-Domain

Tian¹,

Ma²,

Zhou³

2019

JESTR

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“…More sensors should be placed on the most sensitive locations [ 18 ] of the water flow environment. Imitating an underwater aircraft shape [ 19 , 20 ], the artificial carrier is cylinder with a hemispherical head. Simulation is carried out through ANSYS FLUENT with basic parameters in the Table 1 .…”

Section: Optimal Topology Of Sensorsmentioning

confidence: 99%

Research on Flow Field Perception Based on Artificial Lateral Line Sensor System

Liu

Wang

et al. 2018

Sensors

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In nature, the lateral line of fish is a peculiar and important organ for sensing the surrounding hydrodynamic environment, preying, escaping from predators and schooling. In this paper, by imitating the mechanism of fish lateral canal neuromasts, we developed an artificial lateral line system composed of micro-pressure sensors. Through hydrodynamic simulations, an optimized sensor structure was obtained and the pressure distribution models of the lateral surface were established in uniform flow and turbulent flow. Carrying out the corresponding underwater experiment, the validity of the numerical simulation method is verified by the comparison between the experimental data and the simulation results. In addition, a variety of effective research methods are proposed and validated for the flow velocity estimation and attitude perception in turbulent flow, respectively and the shape recognition of obstacles is realized by the neural network algorithm.

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“…As the bistable stochastic resonance can enhance the weak low frequency signal by utilizing the noise energy reasonably, it can be thought as a nonlinear low pass filter in some literature [ 15 , 23 ]. Therefore, according to the careful study of some model based research works on the signal processing and analysis [ 24 , 25 , 26 ], the bistable stochastic resonance here is thought as a nonlinear system and the noisy signal [ 27 ] containing the periodic signal and strong noise is considered as the input of this nonlinear system shown in Figure 4 . Then, the weak characteristic frequency can be obviously enhanced in the output signal.…”

Section: Stochastic Resonancementioning

confidence: 99%

Weak Defect Identification for Centrifugal Compressor Blade Crack Based on Pressure Sensors and Genetic Algorithm

Malekian

et al. 2018

Sensors

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The Centrifugal compressor is a piece of key equipment for petrochemical factories. As the core component of a compressor, the blades suffer periodic vibration and flow induced excitation mechanism, which will lead to the occurrence of crack defect. Moreover, the induced blade defect usually has a serious impact on the normal operation of compressors and the safety of operators. Therefore, an effective blade crack identification method is particularly important for the reliable operation of compressors. Conventional non-destructive testing and evaluation (NDT&E) methods can detect the blade defect effectively, however, the compressors should shut down during the testing process which is time-consuming and costly. In addition, it can be known these methods are not suitable for the long-term on-line condition monitoring and cannot identify the blade defect in time. Therefore, the effective on-line condition monitoring and weak defect identification method should be further studied and proposed. Considering the blade vibration information is difficult to measure directly, pressure sensors mounted on the casing are used to sample airflow pressure pulsation signal on-line near the rotating impeller for the purpose of monitoring the blade condition indirectly in this paper. A big problem is that the blade abnormal vibration amplitude induced by the crack is always small and this feature information will be much weaker in the pressure signal. Therefore, it is usually difficult to identify blade defect characteristic frequency embedded in pressure pulsation signal by general signal processing methods due to the weakness of the feature information and the interference of strong noise. In this paper, continuous wavelet transform (CWT) is used to pre-process the sampled signal first. Then, the method of bistable stochastic resonance (SR) based on Woods-Saxon and Gaussian (WSG) potential is applied to enhance the weak characteristic frequency contained in the pressure pulsation signal. Genetic algorithm (GA) is used to obtain optimal parameters for this SR system to improve its feature enhancement performance. The analysis result of experimental signal shows the validity of the proposed method for the enhancement and identification of weak defect characteristic. In the end, strain test is carried out to further verify the accuracy and reliability of the analysis result obtained by pressure pulsation signal.

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Modeling of Whole-Space Transient Electromagnetic Responses Based on FDTD and its Application in the Mining Industry

Cited by 36 publications

References 21 publications

Forward Modeling of Water-Rich Regions in Mines Based on Unconditional Stability Finite-Difference Time-Domain

Forward Modeling of Water-Rich Regions in Mines Based on Unconditional Stability Finite-Difference Time-Domain

Research on Flow Field Perception Based on Artificial Lateral Line Sensor System

Weak Defect Identification for Centrifugal Compressor Blade Crack Based on Pressure Sensors and Genetic Algorithm

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