航标维护质量控制与安全性评价

航标维护是航道维护工作的重要内容。由于目前国内暂时没有航标配布工程标准规范，一些航标配布不合理、不经济、助航效果差。本文结合江苏实际，探讨如何进行航标维护项目的质量管理控制和安全性评价。     

海事赔偿责任限制的法律适用

由于各国关于海事赔偿责任限制的法律规定不一样,因此,在涉外海事赔偿责任限制法律关系中就需要进行法律选择,以确定所应适用的法律。国际社会关于海事赔偿责任限制的法律适用主要有适用法院地法、适用侵权行为地法、适用船旗国法、适用最密切联系原则几种立法模式,中国《海商法》关于海事赔偿责任限制的法律适用宜规定为:海事赔偿责任限制适用船旗国法,若海事赔偿责任限制与其他国家的法律有更密切联系,则适用其他国家的法律。     

密西西比河的航行方法与注意事项

美国密西西比河从Southwest Pass至Baton Rouge全长253英里（217n mile），河道蜿蜒曲折，码头鳞次栉比，水流较急，交通繁忙，航道复杂。近年来航行在河道内的船舶发生过主机失控碰撞码头，转弯时船速未能及时加上而擦碰油轮，顺流掉头速度太快而造成锚机损坏，装货超载而过不了巴拿马运河等事故，造成了不少的损失，事故教训极其深刻。因此，船舶进出密西西比河及装卸货物应给予高度重视，认真做好下述各项准备和监控工作，确保人、船、货的安全。     

大型船厂门机的装船工艺

上海三航兴安基建筑工程有限公司于2004年6月承担菲律宾常石船厂200t门机的装船作业。     

Determination of Critical Slip Surface of Soil Slope

A new complex method is presented considering not only the improvement upon the ＂bad ＂design point, but also the diversity of the newly generated complex, which is obtained by replacing the ＂bad ＂design point with the better design point located at the line between the ＂bad ＂design point and the ceotroid of the remaining design points of the old complex. The new complex method is applied to searching for the critical slip surface of two non-homogeneous soil slopes. The comparison of the results obtained by the new complex method with that by the basic complex method shows that the new complex method is much more likely to find the true critical surface for the randomly generated initial complex.     

扬认证之帆促企业发展

山东省筑港总公司是一家具有近５０年施工经验的建筑企业,具有国家航务工程一级资质和公路工程、工民建工程二级资质,拥有年产值２亿元以上的施工能力,主要承担沿海港口、船坞、滑道、内河通航建筑物等水运工程及桥梁、公路、工业与民用建筑等工程的施工建设。经过几十...     

Robust Spectral Estimation of Track Irregularity

Because the existing spectral estimation methods for railway track irregularity analysis are very sensitive to outliers, a robust spectral estimation method is presented to process track irregularity signals. The proposed robust method is verified using 100 groups of clean/contaminated data reflecting he vertical profile irregularity taken from Bejing-Guangzhou railway with a sampling frequency of 33 data every 10 m, and compared with the Auto Regressive (AR) model. The experimental results show that the proposed robust estimation is resistible to noise and insensitive to outliers, and is superior to the AR model in terms of efficiency,, stability and reliability.