消能减震结构的损伤集中分布研究

消能减震结构是一种应用前景非常广泛的结构抗震体系。利用能量平衡的原理,采用质点系振动模型,通过对建筑结构模型进行地震响应和能量耗散的时程分析,讨论了在结构中设置薄弱层即消能层,控制结构在地震中的损伤集中分布在结构消能层的理论可行性,研究了所布置阻尼器及结构薄弱层的参数对损伤的集中程度的影响。结果表明设置消能层能够集中损伤,并可以减少消能层上部主体结构的截面尺寸,达到节省建筑材料提高经济效益目的。

Optimization of Multi-layer AR Coatings for GaInP/GaAs Tandem Solar Cells

The AR coatings for GaInP/GaAs tandem solar cell are simulated.Results show that,under the condition of the lack of suitable encapsulation, a very low energy loss could be reached on MgF2/ZnS system; in the case of glass encapsulation,the Al2O3/ZrO2 and Al2O3/TiO2 systems are appropriate choice; for AlInP window layer,the thickness of 30 nm is suitable.

Development of a multi-layer perceptron artificial neural network model to determine haul trucks energy consumption

The mining industry annually consumes trillions of British thermal units of energy,a large part of which is saveable.Diesel fuel is a significant source of energy in surface mining operations and haul trucks are the major users of this energy source.Cross vehicle weight,truck velocity and total resistance have been recognised as the key parameters affecting the fuel consumption.In this paper,an artificial neural network model was developed to predict the fuel consumption of haul trucks in surface mines based on the gross vehicle weight,truck velocity and total resistance.The network was trained and tested using real data collected from a surface mining operation.The results indicate that the artificial neural network modelling can accurately predict haul truck fuel consumption based on the values of the haulage parameters considered in this study.

Roll-to-roll imprint for high precision grating manufacturing

In this paper,a novel roll-to-roll imprint process is proposed to fabricate gratings in large area. The key challenges in roll-to-roll imprint process,such as the roller mold preparation,imprint system,misalignment of imprint roller and backup roller,and also the imprint pressure,are investigated. Various gratings with different periods and profiles are obtained by the roll-to-roll process. To calibrate the measuring ability of the self-made grating by imprint,a calibration system is built with a dual-frequency laser interferometer. By the calibration,the self-made gratings can achieve ±4μm accuracy in 45mm measuring distance.

Tidal Energy Fluxes and Bottom Boundary Layer Energy Dissipation in the Bering Sea

The spatial distribution of the energy flux, bottom boundary layer （BBL） energy dissipation, surface elevation amplitude and current magnitude of the major semidiurnal tidal constituents in the Bering Sea are examined in detail. These distributions are obtained from the results of a three-dimensional numerical simulation model （POM）. Compared with observation data from seven stations, the root mean square errors of tidal height are 2.6 cm and 1.2 cm for M2 and N2 respectively, and those of phase-lag are 21.8~ and 15.8~ respectively. The majority of the tidal energy flux off the deep basin is along the shelf edge, although some of this flux crosses the shelf edge, especially in the southeast of the shelf break. The total M2 energy dissipation in the Bering Sea is 30.43 GW, which is about 10 times of that of N2 and $2. The semidiurnal tidal energy enters mainly to the Bering Sea by Samalga Pass, Amukta Pass and Seguam Pass, accounting more than 60% of the total energy entering the Being Sea from the Pacific.

Cross-Layer Design of Energy-Saving AODV Routing Protocol

Since most ad hoc mobile devices today operate on batteries,the power consumption becomes an important issue.This paper proposes a cross-layer design of energy-aware ad hoc on-demand distance vector(CEAODV) routing protocol which adopts cross-layer mechanism and energy-aware metric to improve AODV routing protocol to reduce the energy consumption and then prolong the life of the whole network.In CEAODV,the link layer and the routing layer work together to choose the optimized transmission power for nodes and the route for packets.The link layer provides the energy consumption information for the routing layer and the routing layer chooses route accordingly and conversely controls the link layer to adjust the transmission power.The simulation result shows that CEAODV can outperform AODV to save more energy.It can reduce the consumed energy by about 8%over traditional energy-aware algorithm.And the performance is better when the traffic load is higher in the network.

Improvement of mount preparations in showing myenteric nerve plexus from intestines of mice

Objective: The whole mount preparations of digestive tract is an effective experimental way to study the appearance and distribution of nerve plexus in digestive tract. Although myentric nerve plexus preparations technique was reported very early. But we have done experiment over and over during our research work in order to improve this traditional method and to meet the needs of our research work, we made some progresses in regular mount preparations after many experiments, which helped offer better situation in observing myentric nerve plexus. Methods: Five healthy male adult Kunming mice (20-30 g in weight) were used in this study. After intraperitoneal injection of muscle relaxant, with dislocation of cervical vertebra method, the abdominal cavity was exposed through abdominal median incision. After several steps of mount preparations the mucous layer and longitudinal muscle layer mount preparations with myentric nerve plexus were stripped under anatomical microscope. Immunohistochemical staining was also used in our study. Results: The mount preparation samples with myentric nerve plexus from intestines of mice showed positive SP immunoreaction. The positive cells were dark brown. Many of the cytons appeared circular and oval, while some appeared triangular or irregular. Conclusion: Our improved method is really a good method to show enteric nerve plexus. The method has many advantages and is particularly applied to small animals such as Kunming mice and BALB/c mice, weighing from 20 g to 30 g.

Energy consumption hierarchical analysis based on interpretative structural model for ethylene production

Interpretative structural model(ISM) can transform a multivariate problem into several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical structure model. To build an ISM of a production system, the partial correlation coefficient method is proposed to obtain the adjacency matrix, which can be transformed to ISM. According to estimation of correlation coefficient, the result can give actual variable correlations and eliminate effects of intermediate variables. Furthermore, this paper proposes an effective approach using ISM to analyze the main factors and basic mechanisms that affect the energy consumption in an ethylene production system. The case study shows that the proposed energy consumption analysis method is valid and efficient in improvement of energy efficiency in ethylene production.