Prediction of the growth of wear-type rail corrugation

The growth behaviour of the vibrational wear phenomenon known as rail corrugation is investigated analytically and numerically using mathematical models. A simplified feedback model for wear-type rail corrugation that includes a wheel pass time delay is developed with an aim to analytically distil the most critical interaction occurring between the wheel/rail structural dynamics, rolling contact mechanics and rail wear. To this end, a stability analysis on the complete system is performed to determine the growth of wear-type rail corrugations over multiple wheelset passages. This analysis indicates that although the dynamical behaviour of the system is stable for each wheel passage, over multiple wheelset passages, the growth of wear-type corrugations is shown to be the result of instability due to feedback interaction between the three primary components of the model. The corrugations are shown analytically to grow for all realistic railway parameters. From this analysis an analytical expression for the exponential growth rate of corrugations in terms of known parameters is developed. This convenient expression is used to perform a sensitivity analysis to identify critical parameters that most affect corrugation growth. The analytical predictions are shown to compare well with results from a benchmarked time-domain finite element model. (C) 2004 Elsevier B.V. All rights reserved.

Wear-type rail corrugation prediction: Field study

Rail corrugation consists of undesirable periodic fluctuations in wear on railway track and costs the railway industry substantially for it's removal by regrinding. Much research has been performed on this problem, particularly over the past two decades, however, a reliable cure remains elusive for wear-type corrugations. Recently the growth behaviour of wear-type rail corrugation-has been investigated using theoretical and experimental models as part of the RailCRC Project (#18). A critical part of this work is the tuning and validation of these models via an extensive field testing program. Rail corrugations have been monitored for 2 years on sites throughout Australia. Measured rail surface profiles are used to determine corrugation growth rates on each site. Growth rates and other characteristics are compared with theoretical predictions from a computer model for validation. The results from several pertinent sites are presented and discussed.

The functional impact of developmental co-ordination disorder during adolescence and early adult life

PURPOSE: The purpose of this study was to increase the understanding of the functional impact that coordination problems have during adolescence and early adult life. In particular, this study aimed to investigate the impact coordination deficits have on day-to-day functioning, activity levels, self-concept with respect to coordination, leisure pursuits, occupational types, accidents and injuries, as well as experiences learning to drive. RELEVANCE: This study may enable clinicians to identify at risk situations, such that appropriate prevention and targeting of treatment can occur. SUBJECTS: The participants involved in this study comprised two groups; 40 subjects previously diagnosed with DCD, and their matched controls. METHODS: Participants were initially contacted by mail for their consent to the study. Consenting participants were then contacted via telephone, and interviewed. ANALYSES: Data analysis was performed using SPSS. Chi squared analysis and Mann Whitney U test was also used to compare groups. RESULTS: During both age periods, the number of DCD subjects participating in sport was significantly less than the number of controls. Although in the 12-14 years age category, the two groups displayed similar results for the type of sport chosen, the 18 – 20 years age group, showed significant differences, with the number of DCD subjects participating in High level coordination activities, being significantly less than controls. Self-perception with respect to coordination was also significantly different amongst groups with more DCD subjects, having perceived themselves as being clumsy. Similarly, a significantly greater number of DCD subjects admitted to tripping over themselves regularly. Some differences have also been noted in the experiences of subjects learning to drive. First, the number of DCD subjects, who had difficulties learning to drive was significantly greater than controls. Second, a much greater number of Control subjects, compared to DCD subjects were successful in obtaining drivers license. Finally, also of interest is the 58% of DCD subjects who have experienced an accident whilst driving, compared to the 35% of controls. The last result of this study was that whilst there was no significant difference between groups, in the number of broken bones, dislocated joints, sprain, burns, stitches, or other significant injuries, the number of control subjects suffering muscle strains was significantly greater than the number of DCD subjects. CONCLUSION: The results of this study indicate that DCD has many implications on day-to-day functioning, both in adolescence and early adulthood. Findings have shown despite the significant sensory-motor deficits displayed by DCD subjects, the impact that this has on day-to-day functioning may be reduced by lifestyle modification.

Early combination disease modifying antirheumatic drug treatment for rheumatoid arthritis

Most people presenting with rheumatoid arthritis today can expect to achieve disease suppression, can avoid or substantially delay joint damage and deformities, and can maintain a good quality of life. Optimal management requires early diagnosis and treatment, usually with combinations of conventional disease modifying antirheumatic drugs (DMARDs). If these do not effect remission, biological DMARDs may be beneficial. Lack of recognition of the early signs of rheumatoid arthritis, ignorance of the benefits of early application of modern treatment regimens, and avoidable delays in securing specialist appointments may hinder achievement of best outcomes for many patients. Triage for recognising possible early rheumatoid arthritis must begin in primary care settings with the following pattern of presentation as a guide: involvement of three or more joints; early-morning joint stiffness of greater than 30 minutes; or bilateral squeeze tenderness at metacarpophalangeal or metatarsophalangeal joints.

Biologically inspired joint control for a humanoid robot

The GuRm is a 1.2m tall, 23 degree of freedom humanoid consuucted at the University of Queensland for research into humanoid robotics. The key challenge being addressed by the GuRw projcct is the development of appropriate learning strategies for control and coodinadon of the robot’s many joints. The development of learning strategies is Seen as a way to sidestep the inherent intricacy of modeling a multi-DOP biped robot. This paper outlines the approach taken to generate an appmpria*e control scheme for the joinis of the GuRoo. The paper demonsrrates the determination of local feedback control parameters using a genetic algorithm. The feedback loop is then augmented by a predictive modulator that learns a form of feed-fonward control to overcome the irregular loads experienced at each joint during the gait cycle. The predictive modulator is based on thc CMAC architecture. Results from tats on the GuRoo platform show that both systems provide improvements in stability and tracking of joint control.

Virtual training environments to improve train driver's crisis decision making

This paper reports on a current research project in which virtual reality simulators are being investigated as a means of simulating hazardous Rail work conditions in order to allow train drivers to practice decision-making under stress. When working under high stress conditions train drivers need to move beyond procedural responses into a response activated through their own problem-solving and decision-making skills. This study focuses on the use of stress inoculation training which aims to build driver’s confidence in the use of new decision-making skills by being repeatedly required to respond to hazardous driving conditions. In particular, the study makes use of a train cab driving simulator to reproduce potentially stress inducing real-world scenarios. Initial pilot research has been undertaken in which drivers have experienced the training simulation and subsequently completed surveys on the level of immersion experienced. Concurrently drivers have also participated in a velocity perception experiment designed to objectively measure the fidelity of the virtual training environment. Baseline data, against which decision-making skills post training will be measured, is being gathered via cognitive task analysis designed to identify primary decision requirements for specific rail events. While considerable efforts have been invested in improving Virtual Reality technology, little is known about how to best use this technology for training personnel to respond to workplace conditions in the Rail Industry. To enable the best use of simulators for training in the Rail context the project aims to identify those factors within virtual reality that support required learning outcomes and use this information to design training simulations that reliably and safely train staff in required workplace accident response skills.

Interconvertibility of single-rail optical qubits

We show how to convert between partially coherent superpositions of a single photon with the vacuum by using linear optics and postselection based on homodyne measurements. We introduce a generalized quantum efficiency for such states and show that any conversion that decreases this quantity is possible. We also prove that our scheme is optimal by showing that no linear optical scheme with generalized conditional measurements, and with one single-rail qubit input, can improve the generalized efficiency. (c) 2006 Optical Society of America.