复合盾构刀具布置分析与研究

复合型盾构施工中,直接与岩土体接触的刀盘,其上刀具的布置是否合理直接影响盾构施工的顺利进行和施工成本。文章从复合盾构刀具布置的基本原则出发,指出了复合盾构滚刀刀间距的布置方式,利用等磨损原则分析了复合盾构刀具布置不同半径上每条轨迹应布置的刀具数量,阐述了不同刀具的螺旋曲线布置方法,并利用实例验证了利用该方法布置复合盾构刀具的合理性。     

我国海洋船舶污染防治法律制度的缺陷与对策

伴随我国经济和航运事业的快速发展,船舶营运造成了我国海洋环境的严重破坏,但我国防治船舶海洋污染法律制度的建设却严重滞后。在充分考量我国防治船舶海洋污染法律制度的现状的基础上,借鉴美国在相关法律制度建设上的立法经验,对我国防治船舶海洋污染法律制度的建设提出建议与对策。     

船用EH36高强钢无缝药芯焊丝焊接接头组织和冲击韧性研究

本文以SRSF501无缝药芯焊丝在船用EH36高强钢中的焊接应用为目的,研究了国产无缝药芯焊丝SRSF501在船用EH36高强钢焊接中的组织和冲击韧性。通过试验表明：SRSF501焊接EH36钢接头各区域的冲击性能均满足船级社要求;多层多道焊时,焊缝组织由粗大的柱状组织和细小的等轴晶组织组成,底层焊缝和末道焊缝柱状晶区域较大;盖面层两侧接头热影响区存在粗晶区,其它位置接头的热影响区不存在粗晶区;焊接接头中熔合线外2mm处,晶粒最细,冲击韧性最好。     

M型风电运维船船型设计与波浪增阻和耐波性能研究

本文基于三体风电运维船船型,结合M型船的特征要素设计改造出M型风电运维船。利用数值仿真技术模拟出M型风电运维船波浪航行时的波浪增阻与纵摇、垂荡情况,将数值仿真计算结果与原三体船的试验数据进行比较,以此探索不同M型船船型对船舶波浪航行时的波浪增阻与纵摇、垂荡情况的影响。最终确定了耐波性能较优的船型方案,从而为M型风电运维船船型设计提供了一定的参考和借鉴。     

简述环保型多功能绞吸船结合土工管袋河道清淤

采用环保型多功能绞吸船结合土工管袋施工方法,通过施工实践过程中优化设计设备指标、施工作业流程,结果表明,所引进的环保绞吸船作业效率可达40 m^3/h,充灌经排水后淤泥含水率可达80%以下。该清淤工艺的成功应用,可为类似工程标准化施工提供借鉴依据。同时建议对绞吸船的船舶时利率进行统计计算,积累实践经验,为采用该工艺时的施工计划编排、成本测算等方面提供依据。     

Estimating the robustness of questionnaire results: lessons from a mixed-mode survey of expectations for tele-working and road-based business travel

The robustness of questionnaire results to various forms of bias are explored in the context of a dual-mode (web and hardcopy) survey of employers’ anticipations of levels of employee commuting and business travel activity under a range of future ICT scenarios. The questionnaire incorporated several innovative features which, together with the dual-mode format, allowed an unusually wide range of analyses. For example: the robustness of respondents’ opinions was tested by examining the effect of incorporating alternative versions of a briefing text, one being very positive and one very negative, about the role of ICT; instrument bias was identified via detailed comparison of the results from the two versions of the questionnaire; and the impact of exogenous factors which are often ignored or taken as constant was assessed via special supplementary questions. Analysis showed that the robustness of opinions and expectations varied and was influenced by respondent characteristics, and that results from the two versions of the questionnaire differed significantly. It is concluded that opinions and expectations are less robust, and questionnaire results are more subject to bias and myopic interpretation, than is generally recognised and that web-based surveys seem particularly vulnerable to sampling bias. Methods are suggested for measuring robustness, for reducing bias and for validating and contextualising results. The use of contrasting briefing texts is recommended as a means of establishing the robustness of opinions and expectations while supplementary questions are recommended for validating and contextualising SP and SE exercises.

Comparative analysis of household car,motorcycle and bicycle ownership between Osaka metropolitan area,Japan and Kuala Lumpur,Malaysia

The interactions among different types of vehicle ownership including car, motorcycle and bicycle are examined by developing simultaneous vehicle ownership models in this study. Large scale person trip survey data for Osaka metropolitan area, Japan and Kuala Lumpur, Malaysia are used for empirical analysis. The results suggest that population density at residential area significantly and negatively affects car ownership for both areas, and that the effects are larger for Osaka metropolitan area than for Kuala Lumpur. Also, bicycle ownership becomes higher at higher population density area for Osaka area, while higher at lower population density area for Kuala Lumpur, which represents the different usage patterns of bicycle between the two areas.

Time taken for residents to adopt a new public transport service: examining heterogeneity through duration modelling

When a new public transport service is introduced it would be valuable for public authorities, financing organisations and transport operators to know how long it will take for people to start to use the service and what factors influence this. This paper presents results from research analysing the time taken for residents living close to a new guided bus service to start to use (or adopt) the service. Data was obtained from a sample of residents on whether they used the new service and the number of weeks after the service was introduced before they first used it. Duration modelling has been used to analyse how the likelihood of starting to use the new service changes over time (after the introduction of the service) and to examine what factors influence this. It is found that residents who have not used the new service are increasingly unlikely to use it as time passes. Those residents gaining greater accessibility benefits from the new service are found to be quicker to use the service, although the size of this effect is modest compared to that of other between-resident differences. Allowance for the possibility that there existed a proportion of the sample that would never use the new service was tested using a split population model (SPD) model. The SPD model indicates that 36% of residents will never use the new service and is informative in differentiating factors that influence whether Route 20 is used and when it is used.

Second best toll and capacity optimisation in networks: solution algorithm and policy implications

This paper looks at the first and second best jointly optimal toll and road capacity investment problems from both policy and technical oriented perspectives. On the technical side, the paper investigates the applicability of the constraint cutting algorithm for solving the second best problem under elastic demand which is formulated as a bilevel programming problem. The approach is shown to perform well despite several problems encountered by our previous work in Shepherd and Sumalee (Netw. Spat. Econ., 4(2): 161–179, 2004). The paper then applies the algorithm to a small sized network to investigate the policy implications of the first and second best cases. This policy analysis demonstrates that the joint first best structure is to invest in the most direct routes while reducing capacities elsewhere. Whilst unrealistic this acts as a useful benchmark. The results also show that certain second best policies can achieve a high proportion of the first best benefits while in general generating a revenue surplus. We also show that unless costs of capacity are known to be low then second best tolls will be affected and so should be analysed in conjunction with investments in the network.

Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting

With the recent increase in the deployment of ITS technologies in urban areas throughout the world, traffic management centers have the ability to obtain and archive large amounts of data on the traffic system. These data can be used to estimate current conditions and predict future conditions on the roadway network. A general solution methodology for identifying the optimal aggregation interval sizes for four scenarios is proposed in this article: (1) link travel time estimation, (2) corridor/route travel time estimation, (3) link travel time forecasting, and (4) corridor/route travel time forecasting. The methodology explicitly considers traffic dynamics and frequency of observations. A formulation based on mean square error (MSE) is developed for each of the scenarios and interpreted from a traffic flow perspective. The methodology for estimating the optimal aggregation size is based on (1) the tradeoff between the estimated mean square error of prediction and the variance of the predictor, (2) the differences between estimation and forecasting, and (3) the direct consideration of the correlation between link travel time for corridor/route estimation and forecasting. The proposed methods are demonstrated using travel time data from Houston, Texas, that were collected as part of the automatic vehicle identification (AVI) system of the Houston Transtar system. It was found that the optimal aggregation size is a function of the application and traffic condition.