Optimization Analysis of Single-layer Reticulated Dome

A structural optimization algorithm is performed for single-layer Kiewit reticulated dome by means of ANASYS. In the process of optimum design, the overall weight is taken as objective function; the stress constraints and stability constraints etc are considered. Meanwhile, the geometrical non-linearity is taken into account. Then the overall stability analysis for the optimized single-layer reticulated dome is operated. The results show that the optimization design is reliable.     

Research on Behavior of Elasto - Plastic Stability of Schwedler Domes

More than 400 tests for the complete-process analysis considering geometry nonlinearity and material nonlinearity of Schwedler single-layer latticed domes with various geometries have been carried out and the critical load is obtained.The effect of initial imperfection,asymmetric load distribution,especially the effect of material nonlinearity on the stability behavior of this kind of domes is considered,and the rule about the elasto-plastic stability behavior is concluded.Based on the work introduced in present paper,people can get useful information for engineering design or theoretical study.And some conclusions could be drawn:(1)To ensure security of the dome,the critical load of the dome must be confirmed by the complete-process analysis considering geometry nonlinearity and material nonlinearity;(2) Schwedler single-layer latticed domes belongs to structure of imperfection sensitivity;(3) The critical load of the dome is affected a little by the asymmetric load distribution;(4)The effect of change of supporting condition on the critical load of the dome should be considered properly in engineering design.     

Wavelet Neural Network Equalizer Using Error Feedback Structure and Algorithm

The inter-symbol interference in the nonlinear time-varying channel is a serious problem in the wireless communication. In order to overcome it, wavelet neural network equalizer using error feedback is employed to cut the auto-correlation of the error signal. Exploiting the decent time-frequency localization of the wavelet analysis, as well as the self-training feature of the neural network, a quicker convergent nalysis and computer simulation confirm the effectiveness of the equalizer and a lower BER are attained. Theoretical aalgorithm. It at The wavelet neural network equalizer based on error feedback advances the communication in the nonlinear time-varying channel.