Applied Mechanics and Materials Vols. 668-669

Abstract: This paper introduces the new concept to address the influence of information technology on rural economic development by an empirical study from the perspective of smart city. Moreover, this paper makes a quantitative analysis of information's impact on rural economic development from the perspective of demand and analyzes the relationship between information technology and regional economic development in rural areas during the construction of smart city as the starting point.

Abstract: Traffic operation characteristics of the city gradually changed from simplicity to comprehensiveness. In this paper, different influence of episodic events was analyzing from angle of the students, commuter, retirees, according to the common accidental event types of public traffic. Combined with the SP public small sample survey, different residents requirement on information about type, location, prompting time was analyze and contingency information request form was constructed. Besides, the best information publishing channels of different groups was discussed and contingency framework was built. In addition, mobile phone APP mobile terminal was developed and the framework of information release was constructed. All in all, the goal is to solve the conflict between city residents travel demand and travel information accessibility, timeliness, accuracy, and to improve transportation efficiency.

Abstract: The objective of this study is to develop a microscopic simulation model to objectively compare operational improvements with capacity expansions. Simulation software VISSIM was used to redesign the existing facilities for the performance evaluation of operational improvement and capacity expansion strategies from delay time, emission and fuel consumption perspective. Two case studies were performed with different test beds to evaluate the effectiveness of performance evaluation model, majorly involving dynamic speed, ramp metering and hard shoulder usage strategies which are discussed in detail to illustrate the changes due to operational improvement and capacity expansion strategies.

Abstract: It take 4010 samples which have intercity travel between Guangzhou and Foshan under the background of urban integration as studying object and acquire travel information from internet investigation. It cross analyze the intercity travel characteristics which contain travel purpose, mode, frequency and cost and the travelers social attributes which include the career, age and revenue through the methods of Social Statistics and GIS spatial analysis. It also studies the changing of Guang-Fo intercity travel and the distributing characteristics of travel origins.

Abstract: Considering the discontinuities of the phase saturations and pressure gradients at the matrix-fracture interface, a modified algorithm for the embedded discrete fracture model is proposed. In this algorithm, the exchange rate between fracture and matrix on two sides of the interface are calculated separately. To avoid the problem for defining the physical variables on the matrix grid blocks overlaid by fracture, the Neumann boundary conditions are instead in the calculations of other matrix grid blocks. The numerical examples show that the simulation results of the proposed algorithm agree very well with those of the discrete fracture model. In reservoir with high matrix capillary pressure, the grids must be enough refined in the neighborhood of the matrix-fracture interface to achieve high numerical accuracy.

Abstract: In this paper we develop an adaptive mesh refinement (AMR) algorithm for solving the non-isothermal three-phase flows in heterogeneous porous media such as steam flooding in heavy oil reservoir. This porous media are made up of different rock types. The refinement criteria are proposed to overcome the difficulty that the saturation is discontinuous across the interface of two different rock types. Since the ratios of relative permeability between different rock types are found to be continuous, they are chosen as the control parameters to perform the refining and coarsening operations. The numerical examples show that the proposed AMR algorithm is fast with good accuracy.

Abstract: Sand samplers were laid out in the grassland in the northern foot of Yinshan Mountain for collecting soil flux samples from 0 to 1.5m height above the surface from Mar, 1, 2008 to Feb,29,2009.Grain size parameters proposed by Folk and Ward, including average, SD, skewness and kurtosis of grain size were used. The vertical distribution of grain size characteristic of sediments trapped by sand samplers in different seasons was analyzed by using electrical mirror technology. The results indicated that size of aeolian sand in desert steppe is mainly sand and silt. The content of coarse silt, very fine sand and medium sand are 20~60%,10~30% and 10~20%,respectively,in the sediment–for all seasons. As height increased, the content of sand decreased while silt increased and the mean size of particle changed from fine sand to very fine sand. The mean diameter of particle ranged from 2.4~4.2and standard deviation ranged from 0.7~1.5Skewness is positive with the value ranges from 0 to 0.2,while Kurtosis mainly concentrated on 0.7 to 1.3.

Abstract: Because of the complex processes and the high cost of rock geophysical properties tested in laboratory, an intelligent method based on hybrid dimensionality reduction with Elman neural networks was proposed to estimate the geophysical parameters of sandstone. Firstly, the grey correlation analysis is used to calculate the correlation between rock slice feature parameters and geophysical properties to select some parameters with high correlation; secondly, the principal component analysis is used for once more dimension reduction based on the selected feature parameters; finally, the Elman neural networks is applied to find the mapping relationship between rock slice feature parameters and geophysical properties within it. The result showed that the average relative errors of porosity and permeability were 7.28% and 6.25% respectively.

Abstract: Water safety early warning is an essential and important basis for sustainable rural safe drinking water projects management and running. in this paper, we firstly analyzed the major influencing factors to water safety early warning. Secondly we establish a water supply safety early-warning assessment index system, and give classification standards for water supply safety early-warning assessment. Further, with the fuzzy assessment theory we propose a fuzzy warning assessment model approach. Finally the model and methods are used in Qingdao, and obtained t the rural water safety early-alarm level is ‘middle warning’.

Abstract: International Civil Aviation Organization (ICAO) is building a carbon dioxide standard for aircraft emissions. The CO₂ standard is planning to be carried out by 2016 as the aviation emissions airworthiness standards, which will immediately influences the aircraft airworthiness certification. In this paper, the main context of the carbon dioxide standard for aircraft, basis for the establishment and metrics were studied. In addition, the metric system, the key point of CO₂ emissions standards, has also been explained. Moreover, the implementation and criteria of the metric system was presented through computing and analyzing of the active-duty models. As a result, the CO₂ emissions standard is aiming at improve the fuel efficiency and operational efficiency, which effectively reduce carbon emissions.