Field test performance assessment of GNSS/INS ultra-tight coupling scheme targeted to mass-market applications

Author(s):  
Damien Serant ◽  
Damien Kubrak ◽  
Michel Monnerat ◽  
Geraldine Artaud ◽  
Lionel Ries
2017 ◽  
Vol 143 (5) ◽  
pp. 04017007 ◽  
Author(s):  
Stefano Mariani ◽  
Thompson Nguyen ◽  
Xuan Zhu ◽  
Francesco Lanza di Scalea

2014 ◽  
Vol 9 (6) ◽  
pp. 1019-1025 ◽  
Author(s):  
Andy Galbraith ◽  
James Hopker ◽  
Marco Cardinale ◽  
Brian Cunniffe ◽  
Louis Passfield

Purpose:To examine the training and concomitant changes in laboratory- and field-test performance of highly trained endurance runners.Methods:Fourteen highly trained male endurance runners (mean ± SD maximal oxygen uptake [VO2max] 69.8 ± 6.3 mL · kg−1 · min−1) completed this 1-y training study commencing in April. During the study the runners undertook 5 laboratory tests of VO2max, lactate threshold (LT), and running economy and 9 field tests to determine critical speed (CS) and the modeled maximum distance performed above CS (D′). The data for different periods of the year were compared using repeated-measures ANOVA. The influence of training on laboratory- and field-test changes was analyzed by multiple regression.Results:Total training distance varied during the year and was lower in May–July (333 ± 206 km, P = .01) and July–August (339 ± 206 km, P = .02) than in the subsequent January–February period (474 ± 188 km). VO2max increased from the April baseline (4.7 ± 0.4 L/min) in October and January periods (5.0 ± 0.4 L/min, P ≤ .01). Other laboratory measures did not change. Runners’ CS was lowest in August (4.90 ± 0.32 m/s) and highest in February (4.99 ± 0.30 m/s, P = .02). Total training distance and the percentage of training time spent above LT velocity explained 33% of the variation in CS.Conclusion:Highly trained endurance runners achieve small but significant changes in VO2max and CS in a year. Increases in training distance and time above LT velocity were related to increases in CS.


Author(s):  
Qian Jiang ◽  
Guannan Zheng ◽  
Guilin Zhao

Abstract Flutter is a complex problem caused by the interaction between the elastic structure and the flow field around that. In this paper a study of flutter on high speed train external windshield is presented. Here, a coupling scheme of computational fluid dynamics (CFD) and computational structure dynamics (CSD) is applied to simulate the flutter problems. Specifically, some key technologies like tight coupling method, information transfer and mesh deformation strategy are involved. Repeatedly exchanging information in the sub-iteration of physical time step is basically typical of tight coupling method, which is a second-order accuracy method. This flutter methodology has been applied for standard model AGARD 445.6 wing and other engineering examples, with lots of excellent results obtained. In this high speed train external windshield flutter research, eight train speed conditions are chosen to simulate the flutter issue, including 250km/h, 300km/h, 350km/h, 400 km/h, 450 km/h, 500 km/h, 550 km/h and 600 km/h. As for structural model, the first 30 order modes of elastic windshield are taken into consideration for CFD/CSD coupling simulation. In addition, it is defined to be the flutter boundary once the generalized displacement curve performing as persistent oscillation, which is the critical stable state for the vibration of external windshield. According to the research, under a specific train speed condition, adjustment of modal eigenfrequency can lead to the change of vibration stability. Furthermore, it is found that there is a positive correlation between train speed and modal eigenfrequency. So the optimal windshield scheme under different operating speeds is proposed that in order for the convergent vibration, a measure of changing eigenfrequency can be taken to ensure the vibration convergent and flutter cannot occur.


Author(s):  
Kimberly A. dos Remedios ◽  
Robert L. dos Remedios ◽  
Steven F. Loy ◽  
George J. Holland ◽  
William J. Vincent ◽  
...  

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