Item response analysis to explore psychometric properties of the Persian version of Troutman successful aging inventory: Rasch partial credit model

The study aimed to evaluate Persian version of the TSAI-2011 to determine successful aging issues in older adults. In a psychometric study, the instrument was completed by 400 men and women aged 60 and above and the Rasch partial credit model was used. The PCM indicated that items 1 and 20 were misfitting. Also, it successive response categories for all items were located in the expected order and version of TSAI with 22-items had more internal consistency. Although Rasch analysis indicated to relevant of TSAI 22-Items, it should be evaluated in further studies and divergent cultures.

Efficient optimized design of solar power tower plants based on successive response surface methodology

Recently the optimal design of the solar power tower (SPT) plants have attracted increasing attention. In this paper, an improved algorithm combing the successive response surface methodology (SRSM) and simulated annealing (SA) global algorithm was proposed to achieve the efficient optimization design of the molten salt SPT plant with 2650 heliostats in Sevilla, Spain. Based on the traditional response surface methodology (RSM) and the adaptive domain reduction method, the SRSM was established to surrogate the complex thermo-economic model of the SPT plant to the updated approximation function, which was a high-order polynomial form to define the relationship between the objective parameter of the levelized cost of energy (LCOE) and 12 design variables related to the 4 subsystems of the SPT plant. After that, the SPT plant optimization design was performed by the SA global algorithm on the basis of SRSM. According to a comparison between the results obtained by the proposed method and the actual model-based global algorithm, the high accuracy and low computation time of the proposed strategy was proved.

A New Reliability Evaluation Algorithm Using Response Surface Methodology Combined With Space Mapping Technique

A new method is proposed to tackle the huge computation cost involved in Successive Response Surface Methodology applied to the reliability analysis, in which Space Mapping technique is combined with Response Surface Methodology. While the new approach is performed, the limit state function is only fitted at the first iteration; at other iterations Space Mapping technique is employed to map the original limit state function into the new ones. Experimental design, corresponding model evaluations and response surface fitting of the limit state function are not done repetitively as what we do while SRSM is used, which leads to the great cutting down of computational efforts.