Experimental studies on the performance of rail joints with modified wheel/railhead contact

Rail joints are provided with a gap to account for thermal movement and to maintain electrical insulation for the control of signals and/or broken rail detection circuits. The gap in the rail joint is regarded as a source of significant problems for the rail industry since it leads to a very short rail service life compared with other track components due to the various, and difficult to predict, failure modes – thus increasing the risk for train operations. Many attempts to improve the life of rail joints have led to a large number of patents around the world; notable attempts include strengthening through larger-sized joint bars, an increased number of bolts and the use of high yield materials. Unfortunately, no design to date has shown the ability to prolong the life of the rail joints to values close to those for continuously welded rail (CWR). This paper reports the results of a fundamental study that has revealed that the wheel contact at the free edge of the railhead is a major problem since it generates a singularity in the contact pressure and railhead stresses. A design was therefore developed using an optimisation framework that prevents wheel contact at the railhead edge. Finite element modelling of the design has shown that the contact pressure and railhead stress singularities are eliminated, thus increasing the potential to work as effectively as a CWR that does not have a geometric gap. An experimental validation of the finite element results is presented through an innovative non-contact measurement of strains. Some practical issues related to grinding rails to the optimal design are also discussed.

Feedback on student performance in the workplace: The role of workplace supervisors

This chapter highlights the im portance of feedback in work - integrated learning (WIL) , the key role of workplace supervisors, and the importance of continuous improvement in systems to support feedback processes. The paper proposes a definition of feedback and formative feedback, as well as approaches for providing industry feedback in W I L . It further reports on a case analysis based on workplace supervisors providing feedback to students in engineering and urban development , yielding certain insights into student pe rformance in the workplace, and m ore importantly, hi ghlighting the need to enhance the use of feedback processes. This is requir ed in a context where delivering feedback in WIL is generally acknowledge d to be complex, and where the role of the industry supervisor in appraising the performance of the student in the workplace needs to be very c learly defined in order for supervisor s ’ feedback to have optimal impact. F eedback in WIL i s set against the bac kdrop of recognizing the importance and complexity of stakeholder engagement in WIL in general, and the intricacy associated with the provision of feedback from industry supervisors in particular. Student self - assessment is briefly considered as a fu rther dimension of their participation in providing feedback on their own performance in the workplace . ( Asia - Pacific Journal of Cooperative Education, Special Issue, 2014, 15 (3 ), 241 - 25 2

FlexAnalytics: A flexible data analytics framework for big data applications with I/O performance improvement

Increasingly larger scale applications are generating an unprecedented amount of data. However, the increasing gap between computation and I/O capacity on High End Computing machines makes a severe bottleneck for data analysis. Instead of moving data from its source to the output storage, in-situ analytics processes output data while simulations are running. However, in-situ data analysis incurs much more computing resource contentions with simulations. Such contentions severely damage the performance of simulation on HPE. Since different data processing strategies have different impact on performance and cost, there is a consequent need for flexibility in the location of data analytics. In this paper, we explore and analyze several potential data-analytics placement strategies along the I/O path. To find out the best strategy to reduce data movement in given situation, we propose a flexible data analytics (FlexAnalytics) framework in this paper. Based on this framework, a FlexAnalytics prototype system is developed for analytics placement. FlexAnalytics system enhances the scalability and flexibility of current I/O stack on HEC platforms and is useful for data pre-processing, runtime data analysis and visualization, as well as for large-scale data transfer. Two use cases – scientific data compression and remote visualization – have been applied in the study to verify the performance of FlexAnalytics. Experimental results demonstrate that FlexAnalytics framework increases data transition bandwidth and improves the application end-to-end transfer performance.