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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Nie, Zhenhua Zhao, Jun Ma, Hongwei Cheng, Liangyan Key Laboratory of Disaster Forecast and Control in Engineering Jinan University Ministry of Education of China Guangdong Guangzhou China School of Civil Engineering Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9780769542256

When performing vibration tests on civil engineering structures, it is often unpractical and expensive to use artificial excitation (shakers, drop weights). Ambient excitation on the contrary is freely available (traffic, wind), but it causes other challenges. The ambient input remains unknown and the system identification algorithms have to deal with output-only measurements. The empirical mode decomposition (EMD) based stochastic subspace identification procedure utilizing operational vibration measurements is presented in this paper. The SSI method is then applied to the decomposed signals to yield the modal parameters of the hinged circular arch which is divided into sixteen elements, and then the strain mode shapes are obtained. In order to let the non-specialist to understand the message of the damages, the strain modes of the arch are presented with visual images. Visualization of damage detection has great potential for development of On-line structure health monitoring. © 2010 IEEE.

关键词： Damage detection

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Risk analysis of ground subsidence accidents caused by underground storage caverns in salt rock

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Yantu Lixue/Rock and Soil Mechanics 2011年第SUPPL.2期32卷 544-550页

作者： Jing, Wen-Jun Yang, Chun-He Kong, Jun-Feng Ji, Wen-Dong State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430071 China Key Lab. for Exploitation of Southwestern Resources and Environmental Disaster Control Eng. Ministry of Education Chongqing University Chongqing 400044 China

In the construction and operation processes of underground storage cavern in bedded salt, ground subsidence, even earth surface collapse accidents, resulted by the storage cavern contraction and overlying rock deformation is an important accident type. Aimed at the ground subsidence accidents caused by underground storage cavern, this paper reveals the mechanism and builds the fault tree model of this type of accidents, finds out 14 failure patterns as well as 10 basic influence factors, also, puts forward the related control measures. Then Yunmeng-Yingcheng salt mine is taken as an example to forecast the severity of accident consequence. On the premise that ground subsidence accident happened at Yunmeng-Yingcheng salt mine, the severity probability of the accident consequence is analyzed using fuzzy comprehensive evaluation. Research results show that the severity of accident consequence belong to negligible level, to be considered level, serious level, very serious level and calamitous level are 0.24, 0.28, 0.29, 0.15, 0.04 respectively. The results are useful to prevent ground subsidence accidents caused by the storage caverns. What's more, it also provides according theory and a feasible way for appraising the loss severity before the accident happening.

关键词： Subsidence

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Research on gas distribution pattern in deep coal-bed based on in-situ detection

Research on gas distribution pattern in deep coal-bed based ...

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International Conference on Digital Manufacturing and Automation (ICDMA)

作者： Xu, Jiang Peng, Shoujian Zhang, Dandan Yang, Hongwei Key Lab. for Exploitation of Southwestern Resources and Environmental Disaster Control Engineering Ministry of Education Chongqing University Chongqing 400044 China

ISBN: (纸本)9780769542867

Knowing about the distribution of gas pressure in coal seam is significative to study the flow of coal seam gas, the occurrence and the change of dynamic phenomenon. An in-situ detection is used to detect the in-situ occurrence of gas in No.3 coal seam in Sihe coal mine of Jincheng Anthracite Mining Group in Shanxi province. The distribution of gas pressure around the holes and the change of the content of gas are studied abstractly, which based on the mathematical simulation of the seam gas-seepage. The results show that insitu detection technique of coal seam gas could shorten the time of from founding the coal to starting to detect, which observably improved the accuracy of testing data, and meanwhile, made up for the deficiency of traditional detection technique in the loss of pressure at earlier stage. It is concluded that the pressure of the initial reservoir gas was about 0.3MPa, from the results of the detection of No.3 coal seam in Sihe coal mine. In order to simulate the distribution of gas pressure surrounding the drilling hole in No.3 coal seam in Sihe coal mine, the mathematical models of the seam gas-seepage were built through COMSOL numerical simulation software. From the results of simulation, the dates on the distribution of gas pressure and the content of gas were obtained. © 2010 IEEE.

关键词： Coal mines

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Analysis of nonlinear dynamic character in the surrounding rock system for deep buried underground engineering

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Journal of Coal Science & engineering(China) 2010年第4期16卷 362-366页

作者： ZHAO Yu PENG Hal-you College of Civil Engineering Chongqing University Chongqing 400045 China Education Ministry＇s Key Lab for the Exploitation of Southwestern Resources ＆ Environmental Disaster Control Engineering Cbongqing University Chongqing 400044 China

Combining the field monitoring results of a deep-buried tunnel in Chongqing,the dynamic characteristics of the surrounding rock system under high in situ stress wasanalyzed by phase space reconstruction, calculating correlation dimension, Kolmogoroventropy and largest Lyapunov *** the Kolmogorov entropy and largestLyapunov exponents show that the surrounding rock system is a chaotic *** onthis, a local model was applied to predict surrounding rock displacement, and a nonlineardynamic model was derived to forecast the interaction of the surrounding rock and *** local method was found to have an extremely small total ***, thenonlinear dynamic model forecasting curves agree with the monitoring ones very *** isproved that the nonlinear dynamic characteristic study is very important in analyzing rockstability and predicting the evolution of rock systems.

关键词： nonlinear dynamics rock deep-buried underground engineering

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Inducing action of stress wave for coal and gas outbursts

Inducing action of stress wave for coal and gas outbursts

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作者： Zhao, Zhigang Tan, Yunliang Zhao, Tongbin Key Laboratory of Mine Disaster Prevention and Control Shandong University of Science and Technology Qingdao 266510 China Key Lab. for the Exploitation of Southwestern Rsrc. and the Environ. Disaster Control Engineering Ministry of Education China

ISBN: (纸本)9789078677383

There are many influence factors for coal and gas outburst, in which the stress wave is the most important one of the non-geological factors. Using the implicit-explicit analytical function of ANSYS/LS-DYNA, the response of roadway surrounding rock under the stress wave is simulated and the inducing effect of stress wave is studied. It is found that, under stress wave, tensile stress and compressive stress occurs in roadway surrounding rock. The vertical pressure of left side midpoint and horizontal pressure of right side midpoint act mainly as tensile pressure, and the pressure value increases along with the stress wave intensity. The horizontal displacement time curve of roof and floor and left side midpoint can be described as this: the value decreases deeply from plus peak to minus peak during Oms -10ms, and the evolution of right side midpoint is reverse to that of left side midpoint. The horizontal velocity time curve of roof and floor midpoint is that the value decreases deeply from peak to trough, then increasing slowly and keep flat. The horizontal velocity time curve of left side midpoint is similar to cosine curve and of right side midpoint is similar to sinusoid curve. © Atlantis Press, 2010.

关键词： Floors

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Design of automatic closed system about gas outburst monitor and its role on the reducing security costs

Design of automatic closed system about gas outburst monitor...

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作者： Nie, Wen Xu, Jiang Liu, Yu Key Lab. for the Exploitation of Southwestern Rsrc. and the Environ. Disaster Control Engineering Ministry of Education Chongqing University Chongqing 400044 China

ISBN: (纸本)9789078677383

In China coal mine safety are always the focus. Furthermore, the gas outburst is its top priority, because more than 70% accidents have links with gas outburst. With the rapid development of computer information technology and sensors, the gas monitoring has made substantial progress. The automation technology makes the monitor and prevention of gas outburst form one system, which is a new concept of monitoring and control. But security costs is the key to constraining the development of enterprises. In order to minimize security costs, automatic closed system is designed in this paper and it can judge the classes of risks considering the productivity and security. And the most importance is the system can take different measures according to different risk rather than the same method which would increase the costs. In addition the databases and remote systems is a wealth of information. Thus, it is an effective way for reducing the security costs and early warning of gas outburst. © Atlantis Press, 2010.

关键词： Risk assessment

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Prediction model of sulfur precipitation in gas well with high H2S content

Prediction model of sulfur precipitation in gas well with hi...

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2010 International Conference on Computational and Information Sciences, ICCIS2010

作者： Li, Wen-Hua Liu, Jing-Cheng Zeng, Shun-Peng Zhang, Qi-Ming Xu, Chun-Bi Institute of Oil and Gas Engineering Chongqing University of Science and Technology Chongqing China Key Lab. for Exploitation of Southwestern Resources and Environmental Disaster Control Engineering Ministry of Education Chongqing University Chongqing China

ISBN: (纸本)9780769542706

For the gas well with high H2S content, the process of sulfur deposition including the sulfur dissolution, precipitation, migration and deposition is a quite complex process. Relative to the solubility of sulfur under certain temperature and the pressure, the sulfur will be separated out when the content of sulfur in high sour gas is surpassed. Based on the theories of mass conservation, momentum conservation, energy conservation, and the transfer of heat in the radial directions of wellbore, we established the prediction model of the sulfur precipitation in the high H2S content gas well by using Roberts thermal empirical equation. In view of the examples, the sulfur separation at different levels of production is calculated and discussed by using the self-programming computer. © 2010 IEEE.

关键词： forecasting

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Study on the Gasoline Classification Methods Based on near Infrared Spectroscopy

Study on the Gasoline Classification Methods Based on near I...

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Photonics and Optoelectronics, SOPO

作者： Jun Zhang Li Jiang Qian Yu Zhe Chen Key Laboratory of Disaster Forecast and Control in Engineering Ministry of Education of the Peoples Republic of China Jinan University Guangzhou China Key Laboratory of Disaster Forecast and Control in Engineering Ministry of Education of the People's Republic of China (Jinan University) Guangzhou China Key Laboratory of Optoelectronic Information and Sensing Technologies Guangdong Higher Educational Institutes (Jinan University) Guangzhou China

The purpose of this paper is to classify 93# and 97# gasoline by using principal component analysis (PCA) with self-organizing competitive neural network method and to establish near infrared transmission spectroscopy and reflectance spectroscopy qualitative identification model in 1100-1700nm spectral region. The spectral data is condensed by PCA method before modeling, and three principal components are chosen because their cumulative credibility has reached 97%. A three-layer self-organizing competitive neural network model is established based on the PCA method. Thirty-two wavelengths' absorbance is served as inputs of the self-organizing competitive neural network. The learning parameter is set as 0.01 and the training iteration is taken as 500. The conclusion is that it is feasible to apply near infrared transmission spectroscopy and reflectance spectroscopy qualitative identification model to discriminate the gasoline products as the PCA and self-organizing competitive neural networks method is used.

关键词： Petroleum Infrared spectra Spectroscopy Principal component analysis Artificial neural networks Neurons Neural networks Monitoring Reflectivity Calibration

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DYNAMIC BEHAVIORS OF A FRACTIONAL ORDER VISCOELASTIC TWO-MEMBER TRUSS SYSTEM

DYNAMIC BEHAVIORS OF A FRACTIONAL ORDER VISCOELASTIC TWO-MEM...

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The Third International Conference on Dynamics,Vibration and control(第三届国际动力学、运动与控制学术会议)

作者： LI Yuan-ping ZHANG Wei Key Lab of Disaster Forecast and Control in Engineering Ministry of EducationChina (Jinan University) Guangzhou 510632 China Department of Electronic EngineeringJinan University Guangzhou 510632 China Department of Mechanics and Civil Engineering Jinan University

The dynamic behaviours of a viscoelastic two-member truss system, subjected to sinusoidal excitation, are investigated in this *** viscoelastic material was assumed to obey the fractional calculus constitutive *** dynamic equation and the numerical computation scheme suited for this nonlinear fractional viscoelastic system are deducted;the dynamic behaviours are investigated by means of numerical methods of nonlinear dynamics, such as time domain, phase diagram, Poincare map, and so *** is found that there are plenty of dynamical phenomena, such as periodicity, bifurcation, quasi-periodicity and chaos in the system and the dynamical character is greatly inflected by the varying of material parameters.

关键词： Fractional derivative Viscoelasticity Mises truss Chaos

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Parametric study on PCA-based algorithm for structural health monitoring

Parametric study on PCA-based algorithm for structural healt...

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International Conference on Prognostics and Health Management, PHM

作者： Ling Yu Jun-hua Zhu Liu-jie Cheri Key Lab of Disaster Forecast and Control in Engineering of Ministry of Education P. R. China Jinan University Guangzhou China Department of Mechanics and Civil Engineering Jinan University Guangzhou China Department of Mechanics and Civil Engineering Jinan University China

Using the measured frequency response function (FRF) data, a novel algorithm for structural health monitoring is proposed based on the principal component analysis (PCA) in this paper. First, the measured FRF data for a structure in both the healthy and the damaged states are used as the initial data. A PCA transformation is performed to obtain the features of an intact structure, in which an orthogonal transformation matrix packed by the first few eigenvectors of covariance matrix can be found. Further, the orthogonal transformation matrix is applied to the FRF data of damage structures to extract the features of structure in the damage state. By comparing the features of structure in the two states, a new damage feature index, namely the median values of the principal components (PCs), is proposed for structural health monitoring. Finally, the efficiency and robustness of the proposed method is illustrated and validated by using the real data provided by the Los Alamos National laboratory, USA. This paper aims at investigating the effect of parameters, such as training data selection, sample points and so on. The illustrated results show that the PCA-based algorithm is correct and effective for structural health monitoring. The new damage feature index can reflect the structure state as well. The algorithm is purely based on the FRF data and independent of structure model, which makes it applicable for structural health monitoring in situ.

关键词： Parametric study Condition monitoring Principal component analysis Covariance matrix Frequency measurement Frequency response Data mining Feature extraction Personal communication networks Robustness

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