PROCEEDINGS ARTICLE | April 9, 2010
Proc. SPIE. 7649, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2010
KEYWORDS: Temperature metrology, Sensors, Error analysis, Neural networks, Data modeling, Safety, Numerical simulations, Data centers, Composites, Civil engineering
With the large span, the high redundancy and three-dimensional overall stress in the space structure, there are further
applications in the civil engineering programs. However, due to the more members, the scatter force path and the
complex diversity force transmission modes, which may lead to the complex stress than the ordinary structures in the
space ones. In this paper, firstly, the structural strain responses have been analyzed through the numerical simulation
with snow loading in the national aquatics center (water cube). Then, according to the strains monitoring data and the
relation feature between the temperature loading and structural temperature strains collected from the strain monitoring
system on the effect of the snow loading in the national aquatics center, the temperature loading strains are to be
separated from the snow loading strains with the neural network technique, from which the monitoring data are got in
numerical statement and analyzed, meantime, with which the above numerical simulation results are to be checked and
evaluated. The analysis results shown, in summer, owning to the high alteration amplitude of the temperature difference,
the temperature loading is the control loading to the space structure; on the other hand, in winter, due to the temperature
difference reducing during the process of snowfall, the control loading in the structure is to be transferred from the temperature loading to the snow loading, the effect of the snow loading to the space structure can not to be ignored.
