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Technical Methods to Make Safety Monitoring and Forecast Models for the Foundation of Long Suspension

Chen Zhijian,Zhou Shizhong ,Zhuo Jiashou

Strategic Study of CAE 2002, Volume 4, Issue 6, Pages 20-24

Abstract: stating the complexity of stability problem and the importance and technical difficulty to make safety monitoringmodel for layered rocky slope of foundation of the south tower and resistance body of south anchoragein Jiangyin Yangtze Bridge, this paper introduces the technical methods to wake the model of tower loaddistribution, the monitoring and alarm model of residual anchorage thrust, j. e. , cause factor of sloperesults and the forecast model for the stability of layered rocky slope based on observed internal shear

Keywords： layered rock mass slope monitoring and forecast model technical methods

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Monitoring and Warning of Dust Storms in China

Jiao Meiyan,Zhou Zijiang

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 1-6

Abstract: occurrence and development mechanism of the dust storms, the technology of the qualitative and quantitative forecastdevelopment orientation of warning technology on the quantity of dust storm is to develop the integrated forecastmodel system containing the atmosphere movement, the physical process of wind erosion and the informationMeanwhile, it indicated that the conventional monitoring network could not comprehensively monitor theThe specialized dust storm monitoring network including the factor of land surface environment and the

Keywords： dust storms in China space-time distribution character integrated forecast model system

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A rain-on-snow mixed flood forecast model and its application

Jian WU, Lan LI,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4, Pages 440-444 doi: 10.1007/s11709-009-0051-0

Abstract: A rain-on-snow flood forecast model is developed by combining LL-Ⅰdistributed hydrology model.It is indicated that the model has a higher precision of forecasting; its determinacy coefficient is

Keywords： Xinjiang Autonomous forecasting hydrology temperature rain-on-snow runoff-generation

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Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Strategic Study of CAE 2010, Volume 12, Issue 1, Pages 98-101

Abstract: and Markov model are combined together to establish a new Grey-Markov model in this paper .The paperadopts grey model and Markov model to show grey feature and random separately, at last the model isThe result shows the forecast precision of Grey-Markov model is higher than the forecast precision ofgrey model, the model can satisfy the demand in forecast precision, and it can be used for fire accidentsforecast.

Keywords： Grey model Markov model fire accidents forecast

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Use microseismic monitoring to forecast hazardous earthquake of water reservoirs and mines

Liu Jianzhong,Liu Guohua

Strategic Study of CAE 2012, Volume 14, Issue 4, Pages 45-48

Abstract:

This paper discusses the use of microseismic monitoring for water reservoirAuthor deems that monitoring expanded to microseismic level can enlarge database and improve credibilityActual results of microseismic monitoring underlies such expansion.With advancement of technology and earthquake forecasting principles, microseismic monitoring can achieve

Keywords： reservoir mine earthquake disaster hypocenter

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Research and development of a high-quality thermal-stress online monitoring model for the 600 MW turbine

ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng

Frontiers in Energy 2007, Volume 1, Issue 3, Pages 322-326 doi: 10.1007/s11708-007-0047-1

Abstract: The result shows that the analytical model gained has high quality and the computing course is very short

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the subway station and the analysis of the test result

Zhang Jiqing,Suo Xiaoming

Strategic Study of CAE 2010, Volume 12, Issue 12, Pages 18-22

Abstract:

Deformation forecast is proceeded for the structure of Beijing underground

Keywords： large diameter shield subway station deformation forecast monitoring numerical value analysis

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The status and suggestions of the improvement in the typhoon observation, forecasting and warning systems in China

Duan Yihong,Chen Lianshou,Xu Yinglong,Qian Chuanhai

Strategic Study of CAE 2012, Volume 14, Issue 9, Pages 4-9

Abstract:

In the background of global warming, high impact tropical cyclone events occurred frequently and disasters got severer all over the world. In China, severe weather represented by landfalling typhoons is growing apparently. The landfalling typhoons tend to be more intense, and the number of severe landfalling typhoons is evidently increaseing. More landfalls are concentrated in a relatively short time, resulting in a significant decrease in the period of landfall activity. In this study, the characteristics of the typhoon induced disasters in China are analyzed; the status and problems of typhoon observations, forecasting and warning systems are discussed. Suggestions and measures of the improvement in the typhoon observation, forecasting and warning systems during the period of rapid development of social economy in China are proposed as well.

Keywords： tropical cyclone monitoring forecast and warnings operational status

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Monitoring Technology to Stability of Layered Rocky High Side Slope

Chen Zhijian

Strategic Study of CAE 2001, Volume 3, Issue 5, Pages 86-91

Abstract:

Based on the example of monitoring to the stability of the layered rocky high slope, base and foundationof the south tower of Jiangyin Bridge, the discipline of monitoring mesh design to its stability, therational arrangement of monitoring spots, the embedding technology of hole with clinometer in fragmentaryrock mass in high slope and the establishment of the monitoring and predictive model to the stabilityThe discriminating discipline for the high slope stability based on the monitoring deformation result

Keywords： Jiangyin Bridge tower side slope stability monitoring hole with clinometer monitoring and predictivemodel

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Analysis of seepage monitoring for an earth dam model with distributed optical fiber sensors

Zhu Pingyu,Jiang Guilin,Leng Yuanbao

Strategic Study of CAE 2011, Volume 13, Issue 3, Pages 82-85

Abstract:

A monitoring system of seepage and settlement for an earth embankmentdam model using fully distributed optical fiber sensing technology is built to simulate seepages inThe results certify the feasibility of the monitoring system based on distributed optical fiber sensingThe analysis model in ANSYS software is set up by simplizing boundary conditions and choosing appropriateThe relationship between the load applied on the model and the gravity of collapsed earth is also got

Keywords： optical fiber sensing technology earth dam model monitoring strain ANSYS

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Model of SARS Analysis, Forecast, and Treatment Intelligence Decision Supporting System

Zhou Xingyu,Zhang Jiang,Liu Yang,Xie Yanqing,Zhang Ran,Zhao Yang,Hong Yuehua,He Zhongxiong

Strategic Study of CAE 2005, Volume 7, Issue 1, Pages 69-75

Abstract: decision supporting system can be created to conduct the noise analysis of SARS epidemic situation, forecastThe system is divided into four parts： noise analysis subsystem, forecast and simulate subsystem, treatmentThe forecast subsystem is based on FGR system, which combines forecast methods of traditional differential

Keywords： SARS noise analysis FGR forecast treatment matching second recovery

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The Ignition and the Forecast Model of Wood Blocks in a Bench-scale Flashover Apparatus

Ji Jingwei,Song Hu,Yang Lizhong,Fan Jicheng

Strategic Study of CAE 2003, Volume 5, Issue 7, Pages 62-66

Abstract:

The ignition of both deal and fir blocks were tested with a bench-scale flashover test apparatus. Tests results showed that the bench-scale flashover test apparatus could offer a test environment similar to the true fire environment and tests executed with the apparatus had good repeatable property. Based on the cone calorimeter test results, a new ignition criterion of wood was presented in the paper. Ignition time of wood block in the bench-scale flashover test apparatus were calculated with the tested average temperature of the upper smoke layer and the new ignition criterion. The calculation results showed that the new approach was facile and available for the purpose of forecasting the ignition time of wood blocks in the bench-scale flashover test apparatus.

Keywords： flashover wood ignition

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Forecast method for used number of parts and components based on complex network

LIU Fu-yun, QI Guo-ning, YANG Qing-hai

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4, Pages 479-484 doi: 10.1007/s11465-006-0064-5

Abstract: Applying directed complex network to model the main structure of a product family, according to in-degreeA forecast method for the increment of component numbers and parts based on the increment of productsAs an example, the component numbers of an industrial steam turbine product family is forecasted, forecastresult verified and forecast error analyzed.

Keywords： complex network industrial component analytic expression forecast

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Real-time Forecast of Irrigation

Mao Zhi,Li Yuanhua,Li Huichang

Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 24-33

Abstract:

The real-time forecast of irrigation is one of the essential part of the work for compiling a dynamicThe real-time forecast of water requirements of crops is the essential and difficult part in the real-timeThe methods and models for the conventional forecast of crop water requirement ,applied both in ChinaThey can not used for the real-time forecast.including the real-time forecast of the date and quota of irrigation for both dry food crops fields

Keywords： irrigation real-time forecast evapotranspiration irrigation schedule

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Online Monitoring of Welding Status Based on a DBN Model During Laser Welding Article

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

Engineering 2019, Volume 5, Issue 4, Pages 671-678 doi: 10.1016/j.eng.2019.01.016

Abstract: A genetic algorithm is applied to optimize the parameters of the proposed DBN model.The established DBN model shows higher accuracy and robustness in monitoring welding status in comparisonwith a traditional back-propagation neural network (BPNN) model.

Keywords： Online monitoring Multiple sensors Wavelet packet decomposition Deep belief network