Determination of the interfacial properties of longitudinal continuous slab track via a field test and ANN-based approaches

2021 ◽  
Vol 246 ◽  
pp. 113039
Author(s):  
Miao Su ◽  
Huan Xie ◽  
Chongjie Kang ◽  
Shaofan Li
2021 ◽  
pp. 027112142098171
Author(s):  
Michael D. Toland ◽  
Jennifer Grisham ◽  
Misti Waddell ◽  
Rebecca Crawford ◽  
David M. Dueber

Rasch and classification analyses on a field-test version of the Assessment, Evaluation, and Programming System Test—Third Edition (AEPS-3), a curriculum-based assessment used to assess young children birth to age 6 years, were conducted. First, an evaluation of the psychometric properties of data from each developmental area of an AEPS-3 field-test version was conducted. Next, cutoff scores at 6-month age intervals were created and then the validity of the cutoff scores was evaluated. Results using Rasch modeling indicated acceptable model fit statistics with reasonable reliability estimates within each developmental area. Classification results showed cutoff scores accurately classified a high percentage of eligible children. Findings suggest that scores from a field-test version of the AEPS-3 are reliable within developmental areas. To the extent allowed by state criteria, early childhood interventionists could possibly use a new field-test version of the AEPS-3 to determine or corroborate eligibility for special education services.


Author(s):  
Klaus Brun ◽  
Rainer Kurz

Field testing of gas turbine compressor packages requires the accurate determination of efficiency, capacity, head, power and fuel flow in sometimes less than ideal working environments. Nonetheless, field test results have significant implication for the compressor and gas turbine manufacturers and their customers. Economic considerations demand that the performance and efficiency of an installation are verified to assure a project’s return on investment. Thus, for the compressor and gas turbine manufacturers, as well as for the end-user, an accurate determination of the field performance is of vital interest. This paper describes an analytic method to predict the measurement uncertainty and, thus, the accuracy, of field test results for gas turbine driven compressors. Namely, a method is presented which can be employed to verify the validity of field test performance results. The equations governing the compressor and gas turbine performance uncertainties are rigorously derived and results are numerically compared to actual field test data. Typical field test measurement uncertainties are presented for different sets of instrumentation. Test parameters that correlate to the most significant influence on the performance uncertainties are identified and suggestions are provided on how to minimize their measurement errors. The effect of different equations of state on the calculated performance is also discussed. Results show that compressor efficiency uncertainties can be unacceptably high when some basic rules for accurate testing are violated. However, by following some simple measurement rules and maintaining commonality of the gas equations of state, the overall compressor package performance measurement uncertainty can be limited and meaningful results can be achieved.


The Analyst ◽  
1973 ◽  
Vol 98 (1169) ◽  
pp. 585 ◽  
Author(s):  
E. C. Hunt ◽  
W. A. McNally ◽  
A. F. Smith
Keyword(s):  

1982 ◽  
Vol 52 (4) ◽  
pp. 869-873 ◽  
Author(s):  
F. Conconi ◽  
M. Ferrari ◽  
P. G. Ziglio ◽  
P. Droghetti ◽  
L. Codeca

The relationship between running speed (RS) and heart rate (HR) was determined in 210 runners. On a 400-m track the athletes ran continuously from an initial velocity of 12–14 km/h to submaximal velocities varying according to the athlete's capability. The HRs were determined through ECG. In all athletes examined, a deflection from the expected linearity of the RS-HR relationship was observed at submaximal RS. The test-retest correlation for the velocities at which this deflection from linearity occurred (Vd) determined in 26 athletes was 0.99. The velocity at the anaerobic threshold (AT), established by means of blood lactate measurements, and Vd were coincident in 10 runners. The correlation between Vd and average running speed (mean RS) in competition was 0.93 in the 5,000 m (mean Vd = 19.13 +/- 1.08 km/h; mean RS = 20.25 +/- 1.15 km/h), 0.95 in the marathon (mean Vd = 18.85 +/- 1.15 km/h; mean RS = 17.40 +/- 1.14 km/h), and 0.99 in the 1-h race (mean Vd = 18.70 +/- 0.98 km/h; mean RS = 18.65 +/- 0.92 km/h), thus showing that AT is critical in determining the running pace in aerobic competitive events.


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