Prediction of Load Carrying Capacity of Corroded Reinforced Concrete Beam

A novel method for prediction of the load carrying capacity of a corroded reinforced concrete beam (CRCB) is presented in the paper. Nine reinforced concrete beams, which had been working in an aggressive environment for more than 10 years, were tested in the laboratory. Comprehensive tests, including flexural test, strength test for corroded concrete and rusty rebar, and pullout test for bond strength between concrete and rebar, were condueted. The flexural test results of CRCBs reveal that the distribution of surface cracks on the beams shows a fractal behavior. The relationship between the fractal dimensions and mechanical properties of CRCBs is then studied. A prediction model based on artificial neural network (ANN) is established by the use of the fractal dimension as the corrosion index, together with the basic intbrmation of the beam. The validity of the prediction model is demonstrated through the experimental data, and satisfactory resuits are achieved.     

Numerical study of the influence of Kuroshio Current on the thermocline in the sea area around Taiwan Island

1 INTsoDUcrIONTemperature is one of the most impoFtant essential factors of ocean, and its verticalstructure, especially the phenomenon ofthermocline, is concerned by military and manufacturepractices at all times. There are two classes of research methods for thermocIine, statisticmethod and numerical method. In recent years, more attention has been paid to the latterwhich becomes the primary development direction. Since Munk et al (1948) pot forward1-D model of thermocline at steady sta…     

In-Situ Observation of Fluid Mud in the North Passage of Yangtze Estuary, China

Observations of fluid mud were made in the lower North Passage of the Yangtze Estuary in February 2000, on 10 -11 August 2000, on 30 - 31 August 2000 (after two strong typhoons), on 21 - 24 August 2000 (neap tide) and on 3 -6 September 2000 (mean tide) respectively. In situ data show that the fluid mud in this area consists of fine cohesive sediment (median size 7.23 μm). The formation and movement of fluid mud varied during the neap-spring and flood-ebb tidal cycle. Observations suggest that fluid mud phenomena in this area may be categorised in a three-fold manner as slack water, storm and saltwedge features. The thickness of the fluid mud layer of slack water during the neap tide ranged from 0.2 to 0.96 m, whereas during the mean tide, the thickness ranged from 0.17 to 0.73 m, and the thickness of the fluid mud layer was larger during slack water than at the flood peak. Shoals cover an area of 800 km^2 with a water depth smaller than 5 m. Erosion of these extensive intertidal mudflats due to storm action provides an abundant sediment source. This is particularly significant in this estuary when the tidal level is lower than 5 m. The lower North Passage is a typical zone of saltwater wedging, so the saltwedge fluid mud has the most extensive spatial range in the estuary.     

碳水化合物的组合合成

碳水化合物的组合合成是一项新兴技术，该技术可以在短时间内合成大量用于进行生物活性筛选的寡糖及拟糖物。液相与固相合成技术可以极大地加快药物研究与开发进程。作者针对该技术在碳水化合物合成方面的研究进展情况进行讨论。     

海洋岛海域水温异常波动与养殖栉孔扇贝死亡的关系

本文对海洋岛海域水温异常波动,与该海域养殖栉孔扇贝大批死亡的关系,进行了研究。首先,总结了几年来海洋岛海域养殖栉孔扇贝死亡的特征。其次,结合水温观测数据分析了水温异常波动与栉孔扇贝大批死亡的关系。得出的结论是:大幅度、跳跃型水温异常波动是导致扇贝死亡主要原因。最后,通过生物试验证实了上述观点。     

茶皂素对几种鱼类和对虾的毒性研究

本研究以茶皂素类作为“清池剂”,试图解决对虾养殖的基础和应用技术问题。试验结果表明:对虾对茶皂素和油茶皂素有较高的耐受力;茶皂素与油茶皂素均具鱼毒活性,油茶皂素则较强。鱼种不同,中毒反应也略有差异;两种茶皂素的鱼毒速度快,在致死浓度时16h内出现中毒死亡,毒性降解也快,浓度为5×10~(-6)时40h后不再引起鱼类中毒。     

长江口拦门沙地区的泥沙运动规律

依据１９８８年７月和１２月水文观测资料，通过流，盐，沙的综合分析，认识到长江口拦门沙地区的泥沙运动有与河口其他地区不同的特点，泥沙输移在水平面上和垂直面上存在着多种循环，潮流和盐水截留大量泥沙积聚的拦门沙地区，河口在盐淡水交锋地带，除了涨，落急时段外，发现在转流时期泥沙也可能产生再悬浮，从而形成一个潮周期中出现３次或４次再悬浮的特殊规律。     

A proposed directional function and wind-wave directional spectrum

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ECOM模式在丁字湾的应用

应用河口、陆架和海洋模式 (ECOM模型 ) ,引入干湿网格法模拟潮滩涨落的改进 ,并建立丁字湾及近岸海域的三维变动边界潮流模型。该模型考虑了湾口拦门沙、湾内水道和人工围海等地形特点。计算结果与实测值比较符合良好 ,较好地刻画出丁字湾 M2 分潮潮流场的时空分布特点。     

极谱法测定海水介质的铜络合容量

采用新极谱技术(1.5次微分)的阳极溶出伏安滴定方法测定天然海水的铜络合容量和条件稳定常数。对测试条件、EDTA回收率和有关问题进行了探讨。青岛近岸水样的九次平行测定表明,铜的表现络合容量为3.01×10~(-7)mol/dm~3,条件稳定常数为7.34×10~7,相对标准偏差分别为9.2％和13.8％。