基于现场测试的斜拉桥有限元模型修正

由于多年使用,桥的结构材料等都已经发生变化,因此在研究桥的当前工作状态时,必须依照现场测试结果,将初始模型修正为符合现阶段实际情况的有限元模型。本文以黄河胜利大桥为工程背景,根据设计资料建立了该桥初始有限元模型,用ANSYS通用软件开发了索力修正程序,该程序通过调整拉索的初始应变和附加质量块,使模型索力与设计索力之间误差在5%以内。计算发现,有限元模型中的施工顺序对成桥状态有着很大影响,应通过单元生死技术进行施工模拟。本文以各级加载工况下挠度、索力的变化情况作为控制目标,最终建立了能够反映加载工况下挠度变化、索力变化的黄河胜利大桥基准有限元模型,为今后监测桥的索力变化情况进而了解整座桥的工作状态奠定了基础。     

基于修正组合模型的青海省城市需水量预测

根据城市用水量系统具有非线性和随机波动性的特点,为了充分发挥组合灰色神经网络预测模型能够综合单变量预测及非线性处理的优势,同时降低组合权系数计算方法的不确定性对模型预测效果的影响,论文提出了基于马尔科夫链修正的组合灰色神经网络预测模型。将其应用于1980—2009年青海省城市用水量序列的拟合分析,并预测其2010、2015以及2020年的城市需水量。结果表明:基于马尔科夫链修正的组合灰色神经网络预测模型预测结果的误差更小,精度更高。     

Bacterial diversity in Fez tanneries and Morocco’s Binlamdoune River, using 16S RNA gene based fingerprinting

The response of bacteria to various carbohydrates in the deep-sea sediments and the Antarctic soils was investigated using cellulose, chitin, and olive oil. It was found that the carbohydrates significantly increased the corresponding specific ectoenzyme activity (β- glucosidase, β-N-acetylglucosaminidase, lipase) in the samples from deep-sea sediments. In the case of Antarctic soil samples, the cellulose or olive oil amendments had minor or no effect on β-glucosidase or lipase activity, except the chitin which stimulated β- N-acetylglucosaminidase production. The responses of the bacteria in the deep-sea sediment sample WP02-3 and the Antarctic soil sample CC-TY2 towards the chitin amendment were further analyzed. Chitin amendments were shown to stimulate the ectoenzyme activity in all the tested sediments and the soils. The bacterial response before and after the carbohydrates amendments were compared by denaturing gradient gel electrophoresis and quantitative competitive polymerase chain reaction. Significant changes were found in the structure and density of the bacterial community in the deep sea sediments as compared to the Antarctic soil sample, where the effects were relatively lower. There was no change in the bacterial population in both studied samples in response to carbohydrates amendments. These data indicate that the bacterial communities in the oligotrophic deep-sea sediments are more dynamic than that in the Antarctic soils as they respond to the nutrient sources efficiently by regulation of ectoenzyme activity and/or changing community structure.