In order to research welding technology of DX51D+Z cold rolled galvanized steel, using multivariate nonlinear regression orthogonal combination design method, adopted the shear load as quality indicators, counted welding current, electrode force, welding time, squeeze time and the interaction of them as factors, to built the nonlinear regression models, by adopting this model to forecast shearing load. The result shows that this model has high forecast precision.
This paper established a multi-level extension model for function effects post-evaluation of substation construction project, the model not only reduces the influence of subjective factors on the evaluation results, but also can determines the key factors which affect the quality of the evaluation results and overall developing trend of the project and provides some suggestions for the project late operation. Taking into account the fact that the element of the judgment matrix formed by traditional AHP is a certain value and may lead to a big difference from the judgment matrix formed by the different group of experts, thus reduces the credibility of the evaluation results; In order to overcome the problem, this paper introduces the concept of interval number, the maximum and minimum of judgment matrix elements relative importance comparison are used as the upper and lower limits of interval number respectively. Interval number are used as the elements of judgment matrix to make the evaluation result more rational. At the end, a practical 220kV substation construction project is taken as an example to verify the validity and rationality of the established model.
In order to research welding technology of DX51D+Z cold rolled galvanized steel, using multivariate nonlinear regression orthogonal combination design method, adopted the shear load as quality indicators, counted welding current, electrode force, welding time, squeeze time and the interaction of them as factors, to built the nonlinear regression models, by adopting this model to forecast shearing load. The result shows that this model has high forecast precision.
The dynamic adsorption of atmospheric trace Kr and Xe, which discharged from the dynamic adsorption experimental equipment at room temperature, on selected adsorbents VACF and GCAC were studied. The stable isotope 84Kr and 129Xe were designated as tracing indicator and determined by ICP-MS. The results suggest that: (1) under the experimental conditions, which included that the column length was 1m, the flow was 2m3/h, and the maximum uniform loading density of VACF column and GCAC column was respectively 0.0165 g/cm3 and 0.459 g/cm3, the DAC which indicated the adsorption capacity of Kr and Xe adsorbed on VACF at room temperature was about 3.08×104cm3/g, the DAC which indicated the adsorption capacity of Kr and Xe adsorbed on GCAC at room temperature was about 5.55×103cm3/g; (2) the air flow capacity couldn’t be promoted by simply increasing the column length of VACF or GCAC. For VACF adsorbent, although its DAC was superior to the GCAC’s, but when the length of VACF column was increased to 2m, the air flow resistance was ascended obviously, and the air flow capacity was descended substantially. However, because the cost-effectiveness of GCAC adsorbent was higher, the flow resistance of GCAC column was smaller and the controlling range of air flow was larger than VACF, all of these results show that the comprehensive performance of GCAC is better than VACF at present.
Cold-formed lipped channel sections may fail in local, distortional and overall buckling under compression. With the development of computer technology, finite element analyses of these sections play increasing important roles in engineering practice for economic design and time-saving purpose. A kind of typical cold-formed lipped channel beam-column with varying load eccentricity was analyzed in this paper by using the finite element program of ANSYS to observe the buckling modes and load carrying capacities of the columns. All the results can be the reference for further studies.
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