The eco-composite wall structure is a new structural system, characterized by ecology, low weight, high strength, saving energy and good aseismic performance. As the main load-bearing member of the structure, Multi-ribbed composite wall consists of concealed frame, concrete frame grids, ecological filling blocks and so on, which makes the entities calculation model extremely complicated. Therefore, it is necessary to present the simplified calculation model of the structure. Based on constitution and mechanical analysis of the multi-ribbed composite wall, the wall is equaled to an elastic plate with the filling blocks as matrix and concrete grids as reinforced fibers in elastic stage, consequentially rigid frame-composite elastic plate of eco-composite wall structure is proposed, and the model is employed to perform the time-history analysis. Experimental analysis shows that rigid frame-composite elastic plate model can meet the usage of engineering in elastic stage, and it provides a more simplified calculation method.
We present a discussion of the size-, potential-dependence of the confinement energy in the nanostructure, as well the blue shift due to quantum confinement effect. In this case, we solve the Schrödinger equation by employing two simple models with one-dimensional periodic crystal potential. Results show that the confinement energy increases abruptly as the size of nanostructures decreases. Importantly, the confinement energy no longer strictly follows the size-dependent inverse square formula given by Brus. Furthermore, the band gap and blue shift depend on the crystal potential in the nanostructure, and the confinement energy decreases with the increase of the potential. We also find that the surface bond constriction plays an important role of the confinement energy.
This paper was based on the theory of spatial econometric model. It selected the panel datas of the guanzhong urban agglomeration of five core cities from 1998 to 2012, and inspected the commodity residential house price if there is a space dependency relationship between the two cities. On the basis to analyze the main factors influencing the commodity residential house price volatility and research on the influence of the housing price direction. Results show that the sample is significant spatial correlation between urban housing prices. Xi 'an have great influence on regional cities housing price. The urban population, household disposable income, land acquisition costs, sales area are the main influence factors affecting housing price volatility.
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