Response-based extreme value analysis of moored offshore structures due to wave, wind, and current

Floating moored offshore structures have a significant future in offshore operations as an attractive economic alternative to fixed structures in deep waters and/or in areas where there is no existing infrastructure. This paper describes an analysis procedure based on the structure variable approach to estimate load and response values of a moored offshore platform at a given return period by taking into account the joint occurrence of wave, wind, and current. The results show that the most severe mooring loads may not occur when wind, wave, and current are collinear and are at their maximum design values, i.e., the 50- or 100-year case. It is recommended that the extreme mooring design loads for moored offshore systems should be determined through a range of physical or numerical simulations where wave, wind, and current are noncollinear and act with less severe magnitudes than the 50- or 100-year case. This recommendation has also been adopted in the ITTC/Ocean Engineering Committee recommendations to the ITTC Conference held in September 1996.     

预应力混凝土连续梁桥施工安全性设计与控制分析

分析了三跨一联连续梁桥满堂支架施工存在的风险,用MIDAS/Civil程序分析计算了支架结构的强度、刚度和稳定性。通过调整主梁结构设计和施工工艺,保证了桥梁施工的安全性。在此基础上,用GQJS分析了主梁各施工阶段的结构内力和变形,为施工控制提供了理论基础。     

落锤弯沉与回弹弯沉数值关系的探讨

着重分析在沥青混凝土路面弯沉测试中，落锤弯沉与回弹弯沉之间的关系。并通过测试数据分析，找出两种测试方法检测结果的相关性，从而得到两者数值之间大小的规律性。     

汽车转向泵恒流量控制的计算分析

通过模拟汽车转向泵恒流量控制的工作原理，给出合理的流量控制过程的理论分析方法，并计算分析转向泵的流量控制特性，确定其影响因素，同时也分析了令很多工程技术人员费解的两个流量控制现象。     

车身两侧整蒙皮装焊工艺对改善城市客车车身质量的可行性

分析客车车身两侧蒙皮装焊工艺差异对车身质量的影响，提出车身两侧整蒙皮装焊工艺对改善城市客车车身质量的可行性。     

重载货车车轮踏面垂直磨耗原因分析及改进

分析总结了大秦线重载货车车轮磨耗的原因,并针对解决大秦线车轮非正常磨耗提出几点建议。     

几例船舶主机故障现象及其分析

船舶主机是船舶的动力核心，与主机相关的故障如果不能被及时发现和处理，将会造成严重的事故。文章就作者在船上的工作经历，介绍了船舶主机的几例故障现象，并对这些故障的原因进行了适当的分析，说明了有效的维护是船用设备可靠工作的必要保证。     

基于时间序列法的舰船运动预报实验研究

采用线性自回归AR模型、具有首前波观测量的ARMA模型以及非线性自回归NAR模型三种方法分别对舰船运动进行预报,将得到的预报结果与实验测量结果进行验证比较,并对最佳预报模式进行讨论.     

Trip Chain's Activity Type Recognition Based on Support Vector Machine

This paper focuses on support vector machine (SVM) based trip chain's activity type recognition. First, the time-series location information of person trip is processed to obtain the trip chain elements including moving processes and activities, and the activity options are extracted from the geographic information system (GIS) around the activity sites. Second, the activity features are drawn from spatio-temporal factors of trip chain to serve as the input feature vector of classifier. A SVM based one-to-one classifier is established and the method of one-to-one classifier voting is adopted to decide the most likely activity type from the activity options. Finally, the classifiers are trained with simulation data based on the Gaussian radial basis (RBF) kernel function and the multilayer perception (MLP) kernel function respectively, and then examined by cross validation. The result shows that in the one-to-one classifying scheme, the highest and lowest right recognition rate with RBF are 99% and 62%, and the corresponding results with MLP are 97% and 54%, respectively.     

Management of coastal eutrophication: Integration of field data, ecosystem-scale simulations and screening models

A hybrid approach for eutrophication assessment in estuarine and coastal ecosystems is presented. The ASSETS screening model (http://www.eutro.org) classifies eutrophication status into five classes: High (better), Good, Moderate, Poor and Bad (worse). This model was applied to a dataset from a shallow coastal barrier island system in southwest Europe (Ria Formosa), with a resulting score of Good. A detailed dynamic model was developed for this ecosystem, and the outputs were used to drive the screening model. Four scenarios were run on the research model: pristine, standard (simulates present loading), half and double the current nutrient loading. The Ria Formosa has a short water residence time and eutrophication symptoms are not apparent in the water column. However, benthic symptoms are expressed as excessive macroalgal growth and strong dissolved oxygen fluctuations in the tide pools. The standard simulation results showed an ASSETS grade identical to the field data application. The application of the screening model to the other scenario outputs showed the responsiveness of ASSETS to changes in pressure, state and response, scoring a grade of High under pristine conditions, Good for half the standard scenario and Moderate for double the present loadings. The use of this hybrid approach allows managers to test the outcome of measures against a set of well-defined metrics for the evaluation of state. It additionally provides a way of testing and improving the pressure component of ASSETS. Sensitivity analysis revealed that sub-sampling the output of the research model at a monthly scale, typical for the acquisition of field data, may significantly affect the outcome of the screening model, by overlooking extreme events such as occasional night-time anoxia in tide pools.