锕系元素有机化合物研究(Ⅲ)——双(联环辛四烯基)双铀夹心物的新合成和变温^(1)H NMR谱

本文由相应单铀夹心物的四负离子合成双(联环辛四烯基)双铀夹心物,其变温^(1)H NMR谱表明分子中两个铀夹心物单元相对扭曲。Miller,M.曾报导在制备双(联环辛四烯基)单铀夹心物时,由不溶于己烷的残渣或由此单铀夹心物与新生态铀反应可得双(联环辛四烯基)双铀夹心物,并初步报导了这个化合物的质谱、^(1)H NMR和可见光谱。

锕系元素有机化合物研究(Ⅰ)——新的铀夹心物的合成和结构鉴定

作者新合成了双(均三甲苯基环辛四烯)铀夹心物和双(邻甲苯基环辛四烯)铀夹心物,鉴定了这两个铀夹心物的结构.详细研究了双(均三甲苯基环辛四烯)铀夹心物在部分去偶条件下和变温条件下的^(1)H NMR谱.

A Robust Damage Detection Method Developed for Offshore Jacket Platforms Using Modified Artificial Immune System Algorithm

Steel jacket-type platforms are the common kind of the offshore structures and health monitoring is an important issue in their safety assessment. In the present study, a new damage detection method is adopted for this kind of structures and inspected experimentally by use of a laboratory model. The method is investigated for developing the robust damage detection technique which is less sensitive to both measurement and analytical model uncertainties. For this purpose, incorporation of the artificial immune system with weighted attributes （AISWA） method into finite element （FE） model updating is proposed and compared with other methods for exploring its effectiveness in damage identification. Based on mimicking immune recognition, noise simulation and attributes weighting, the method offers important advantages and has high success rates. Therefore, it is proposed as a suitable method for the detection of the failures in the large civil engineering structures with complicated structural geometry, such as the considered case study.