Influencing Factors Analysis for Failure Risk of Upstream Revetment of Existing Levees

2011 ◽  
Vol 250-253 ◽  
pp. 2843-2847 ◽  
Author(s):  
Yan Hong Gao ◽  
Jun Zhi Zhang
Keyword(s):  
Risk Analysis ◽  
Influencing Factors ◽  
Load Effect ◽  
Factors Analysis ◽  
Factors Influencing ◽  
Failure Risk ◽  
Analysis Theory ◽  
Proposed Model ◽  
Calculation Results ◽  
Main Factors

According to risk analysis theory, a model of analysis for failure risk of upstream revetment of existing levees is proposed in this paper. Based on the model, the load effect and generalized resistance for the failure risk of upstream revetment of existing levees are analyzed, and then the influencing factors of the failure risk of upstream revetment are studied. The calculation results show that the proposed model is workable and effective for analysis of the failure risk of upstream revetment of existing levees, and the main factors influencing failure risk of existing upstream revetment are the randomness of the existing effective thickness of upstream revetment and ratio mean of upstream slope of the existing levees.

scholarly journals The Solutions to the Uncertainty Problem of Urban Fractal Dimension Calculation

Entropy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 453 ◽  
Author(s):  
Chen
Keyword(s):  
Fractal Dimension ◽  
Spatial Analysis ◽  
Fractal Geometry ◽  
Fractal Dimensions ◽  
Dimension Estimation ◽  
Scale Free ◽  
Factors Influencing ◽  
Calculation Results ◽  
Fractal Patterns ◽  
Main Factors

Fractal geometry provides a powerful tool for scale-free spatial analysis of cities, but the fractal dimension calculation results always depend on methods and scopes of the study area. This phenomenon has been puzzling many researchers. This paper is devoted to discussing the problem of uncertainty of fractal dimension estimation and the potential solutions to it. Using regular fractals as archetypes, we can reveal the causes and effects of the diversity of fractal dimension estimation results by analogy. The main factors influencing fractal dimension values of cities include prefractal structure, multi-scaling fractal patterns, and self-affine fractal growth. The solution to the problem is to substitute the real fractal dimension values with comparable fractal dimensions. The main measures are as follows. First, select a proper method for a special fractal study. Second, define a proper study area for a city according to a study aim, or define comparable study areas for different cities. These suggestions may be helpful for the students who take interest in or have already participated in the studies of fractal cities.

Influencing Factors Analysis on Regulating Effect of the Pintle Controlled Thrust Regulating Mechanism

2010 ◽  
Vol 44-47 ◽  
pp. 1320-1324
Author(s):  
Lan Ting Zhang ◽  
Hai Qing Cheng ◽  
Li Ming Song ◽  
Jin Shun Yan
Keyword(s):  
Mathematical Model ◽  
Influencing Factors ◽  
Theoretical Foundation ◽  
Rocket Engine ◽  
Structure Design ◽  
Factors Analysis ◽  
Main Factors ◽  
Solid Rocket ◽  
And Control ◽  
The Mathematical Model

Based on the thrust regulating principle of pintle controlled solid-rocket engine, the mathematical model between pintle motion and thrust changing is established, and influence of main factors to thrust regulating effect is analyzed. These results can provide theoretical foundation for structure design and control of pintle controlled thrust regulating mechanism of solid-rocket engine.

Satisfaction with social services in Spain: What weighs more for users of immigrant origin?

2018 ◽  
Vol 64 (1) ◽  
pp. 101-113
Author(s):  
Agustín Godás Otero ◽  
María José Ferraces Otero ◽  
Mar Lorenzo Moledo ◽  
Miguel A Santos Rego
Keyword(s):  
Social Integration ◽  
Social Services ◽  
Host Country ◽  
Living Conditions ◽  
Explanatory Model ◽  
Place Of Residence ◽  
Factors Influencing ◽  
Proposed Model ◽  
Main Factors ◽  
Significant Factors

Since the beginning of this century, Spain has become a host country for immigrants. In many cases, due to their living conditions, they are under pressure to demand different services and programs that are crucial for their social integration. This work is basically aimed at analyzing the immigrants’ satisfaction with social services. This article proposes an explanatory model of these users’ satisfaction with social services. The proposed model reports five significant factors, although the results obtained indicate that the three main factors influencing the satisfaction of users with social services are responsibility, assurance, and empathy. Satisfaction differences were also found according to users’ gender and place of residence.

Variation of PAHs, PCBs and OCPs Contents and Influencing Factors in Sludge Landfill Process

2014 ◽  
Vol 522-524 ◽  
pp. 797-805 ◽  
Author(s):  
Ying Zhu ◽  
Miao Zhang ◽  
Zhe Han ◽  
Su Ping Feng
Keyword(s):  
Waste Water ◽  
Influencing Factors ◽  
Scientific Basis ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Plant Chemical ◽  
Benzene Rings ◽  
Pahs Concentration ◽  
Main Factors ◽  
Coking Plant

In order to know about the variation of PAHs, PCBs and OCPs of sludge in landfill, discover the factors influencing the contents of PAHs, PCBs, OCPs and provide the scientific basis for the agriculture reuse of aged-sludge, the variation of PAHs, PCBs, OCPs contents and influencing factors in sludge landfill were studied in this paper. PAHs concentration of different landfill periods rang from 6.645 to 10.008 mg·kg-1 and show an increasing tendency with the increase of landfill duration. PAHs are mainly composed of more than four benzene-based compounds, and less than three benzene rings compounds contents of PAHs are relatively low. PCBs concentrations rang from 15.655 to 25.569 μg·kg-1 and present a decreasing trend with the landfill time, which far less than the standard of 0.2 mg·kg-1. PCBs at the beginning of the landfill are mainly composed of the 3-Cl and 5-Cl compounds. In the late of the landfill, 2-Cl compounds increase significantly. The range of OCPs concentration is 1.78~2.37 μg·kg-1. The main factors affecting the PAHs, PCBs and OCPs contents are microbial degradation and transformation. Analysis of the pollutants sources indicate that PAHs in sludge are mainly derived from the waste water of refinery, coking plant, gasworks, smelt plant and pitch plant. Chemical industry, timber process and electricity industry are the main sources of PCBs and OCPs in sludge.

scholarly journals Estimating the features of nervous processes among medical students as one of the main factors influencing labor productivity

2020 ◽  
Vol 26 ◽  
pp. 00020
Author(s):  
Igor Skiba ◽  
Igor Konovalov ◽  
Yulia Emelyanova ◽  
Valentina Kosulina ◽  
Elza Akhmetshina
Keyword(s):  
Medical Students ◽  
Hand Movements ◽  
Physical Culture ◽  
Software Complex ◽  
Factors Analysis ◽  
Factors Influencing ◽  
Effective Training ◽  
Tempo Change ◽  
Educational Establishment ◽  
Main Factors

The article considers the results of studying nervous processes in medical students. They influence labor functions productivity in the future labor activity. Testing was held by means of hardware and software complex (HSC) “NS-PsychoTest”. It includes several specialized tests for the experimental study of nervous system and a person’s psychological part. The main features of respondents’ nervous processes estimation was realized according to the author’s methodology created by E.P. Ilin in 1972 by means of the dynamics of hand movements tempo change. In terms of the research results interpretation we held factors analysis, which prevent the whole potential of physical culture means revelation at a higher educational establishment, including medical profile Universities, for an effective training of young specialists for their professional duties realization.

Study on Factors Influencing Physical Health Based on the SOM Network

2016 ◽  
Vol 13 (10) ◽  
pp. 6850-6855
Author(s):  
Ye Yang ◽  
Xiaoling Zhang ◽  
Shihong Li
Keyword(s):  
Physical Exercise ◽  
Physical Health ◽  
Influencing Factors ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Factors Analysis ◽  
Factors Influencing ◽  
Training Samples ◽  
Som Network ◽  
Index Value

This paper builds a students’ physical health influencing factors analysis model based on the SOM network. First, Analytic Hierarchy Process (AHP) is adopted to confirm the weighted value of various indexes of students’ physical health influencing factors. One fourth of the weighted value of various indexes is adopted as the gradient to divide students’ physical health grades and periods, and as the input training samples for the SOM network. Following that, the SOM network after training is analyzed for its sensitivity towards factors influencing physical health. Results suggest that: (1) Duration and intensity of physical exercise is a deciding factor. According to the simulated results, a student with disqualified physical health can recover to a sound state by ensuring the index value of the above deciding factor to be above 0.6. (2) In terms of a student with good physical health, when duration and intensity of his physical exercise is “0”, his physical health will be disqualified. In order to maintain the sound physical health, the index value of duration and intensity of his physical exercise must be above 0.3.

scholarly journals MATHEMATICAL MODEL OF LIQUID FUEL COMBUSTION IN THE APPARATUS

2020 ◽  
Vol 2018 (1) ◽  
pp. 173-174
Author(s):  
Larisa Kondrat'eva ◽  
Ol'ga Sverdlova
Keyword(s):  
Mathematical Model ◽  
Oxygen Concentration ◽  
Liquid Fuel ◽  
Organic Liquid ◽  
Material Balance ◽  
Fuel Combustion ◽  
Combustion Model ◽  
Factors Influencing ◽  
Calculation Results ◽  
Main Factors

The article deals with the mathematical combustion model of organic liquid fuel in the technological furnace. The main factors influencing on the process are considered. The formula for the calculation of the oxygen concentration at the reactionary surface is obtained. The material balance of oxygen including equations for the diffusive and dense parts is compiled. The calculation results are shown in the diagrams.

An Experimental and Numerical Study of a Supersonic Overexpanded Jet Gas-Dynamic Structure

2013 ◽  
Vol 8 (4) ◽  
pp. 84-92
Author(s):  
Valeriy Zapryagaev ◽  
Ivan Kavun ◽  
Sergey Kundasev
Keyword(s):  
Experimental Data ◽  
Numerical Study ◽  
Numerical Data ◽  
Dynamic Structure ◽  
Ansys Fluent ◽  
Gas Dynamic ◽  
Factors Influencing ◽  
Calculation Results ◽  
Main Factors ◽  
Supersonic Overexpanded Jet

Experimental data about the structure of the supersonic overexpanded jet (Ma=3, n=0.58) is obtained. This data is intended for verification of numerical calculation results. Main factors influencing on the precision of experimental data are shown. Experimental results are supplemented with numerical simulation performed with program package ANSYS Fluent. Differences between experimental and numerical data are analyzed

scholarly journals Risk analysis and influencing factors of drought and flood disasters in China

2021 ◽  
Author(s):  
Wei Pei ◽  
Cuizhu Tian ◽  
Qiang Fu ◽  
Yongtai Ren ◽  
Tianxiao Li
Keyword(s):  
Economic Development ◽  
Risk Analysis ◽  
Influencing Factors ◽  
Social Economy ◽  
Research Area ◽  
Statistical Distribution ◽  
Formation Mechanisms ◽  
Drought Risk ◽  
Factors Affecting ◽  
Main Factors

Abstract The risk analysis of flood and drought disasters and the study of their influencing factors enhance our understanding of the temporal and spatial variation law of disasters and help identify the main factors affecting disasters. This paper uses the provincial administrative region of China as the research area. The statistical distribution of flood and drought disasters was optimized from 10 alternative distributions by the KS test, and the disaster risk was analyzed. Thirty-five indicators were selected from nature, agriculture and the social economy as alternative factors. The main factors affecting flood and drought disasters were selected by Pearson, Spearman and Kendall correlation coefficient test. The results demonstrated that the distribution of floods and drought is right skewed, and the beta distribution is the best statistical distribution for fitting disasters. In terms of time, the risk of flood and drought disasters in all regions showed a downward trend. Economic development and the enhancement of the ability to resist disasters were the main reasons for the change in disasters. Spatially, the areas with high drought risk were mainly distributed in Northeast and North China, and the areas with high flood risk were mainly distributed in the south, especially in Hubei, Hunan, Jiangxi and Anhui. The distribution of floods and drought disasters was consistent with the distribution characteristics of precipitation and water resources in China. Among the natural factors, precipitation was the main factor causing changes in floods and drought disasters. Among the agricultural and socioeconomic factors, the indicators reflecting the disaster resistance ability and regional economic development level were closely related to flood and drought disasters. The research results have reference significance for disaster classification, disaster formation mechanisms and flood and drought resistance.

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