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# 10, October 2013
УДК: 004.031.42
Analysis of design features of large-scale inflatable solar energy concentrators
Engineering Education # 10, October 2013
DOI: 10.7463/1013.0618788
All these approaches were illustrated by an example of mirror concentrating systems. Special attention was paid to design features of inflatable (pneumatic) solar concentrators and approaches that provide high geometric accuracy of a reflecting surface form when it deploys, fixation and shape stability during operation. It is of particular interest for design, manufacturing and operation of large-sized mirror concentrating systems for high-temperature solar power plants for both ground and space applications. Main design features of inflatable structures are related to the fact that they need to be pressurized for their deployment. But it is also necessary for maintaining (saving) the shape of such structures, which requires presence of structural elements under constant internal inflation pressure and, generally, in a strain state. A number of approaches to minimize problems caused by these design features were discussed, such as use of thermosets, introduction of additional structural elements, etc. Some approaches to design of large-scale space structures were considered in this paper.
Monitoring condition of agricultural fields based on prediction of NDVI with the use of multi-spectral and hyper-spectral data from space imagery
Engineering Education # 07, July 2013
DOI: 10.7463/0713.0577991
Problems of condition monitoring of agricultural fields based on prediction of NDVI dynamics considering climate and atmospheric influence were studied. Different algorithms for preparing initial data were proposed. The research was conducted for the regions of Russia which are notable for different relief, climate and environment. Initial data for simulation were formed by combining the information from the multi-spectral and hyper-spectral space imagery. The conducted mathematical simulation showed a principal opportunity to use Earth observing systems for appropriate short-time predicting of vegetation processes.
 
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