Micro-Meter Crack Response to Rock Blast Vibrations, Wind Gusts & Weather Effects

Author(s):  
C. H. Dowding ◽  
C. T. Aimone-Martin
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Stephen M. Mattingly ◽  
Ted Grover ◽  
Gonzalo J. Martinez ◽  
Talayeh Aledavood ◽  
Pablo Robles-Granda ◽  
...  

AbstractPrevious studies of seasonal effects on sleep have yielded unclear results, likely due to methodological differences and limitations in data size and/or quality. We measured the sleep habits of 216 individuals across the U.S. over four seasons for slightly over a year using objective, continuous, and unobtrusive measures of sleep and local weather. In addition, we controlled for demographics and trait-like constructs previously identified to correlate with sleep behavior. We investigated seasonal and weather effects of sleep duration, bedtime, and wake time. We found several small but statistically significant effects of seasonal and weather effects on sleep patterns. We observe the strongest seasonal effects for wake time and sleep duration, especially during the spring season: wake times are earlier, and sleep duration decreases (compared to the reference season winter). Sleep duration also modestly decreases when day lengths get longer (between the winter and summer solstice). Bedtimes and wake times tend to be slightly later as outdoor temperature increases.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3085
Author(s):  
Konstantin Osintsev ◽  
Seregei Aliukov ◽  
Alexander Shishkov

The problem of increasing the reliability of wind turbines exists in the development of new offshore oil and natural gas fields. Reducing emergency situations is necessary due to the autonomous operation of drilling rigs and bulk seaports in the subarctic and Arctic climate. The relevance of the topic is linked with the development of a methodology for theoretical and practical studies of gas dynamics when gas flows in a pipe, based on a mathematical model using new mathematical methods for calculation of excess speeds in case of wind gusts. Problems in the operation of offshore wind turbines arise with storm gusts of wind, which is comparable to the wave movement of the gas flow. Thus, the scientific problem of increasing the reliability of wind turbines in conditions of strong wind gusts is solved. The authors indicate a gross error in the calculations when approximating through the use of the Fourier series. The obtained results will allow us to solve one of the essential problems of modeling at this stage of its development, namely: to reduce the calculation time and the adequacy of the model built for similar installations and devices. Experimental studies of gas-dynamic flows are carried out on the example of a physical model of a wind turbine. In addition, a computer simulation of the gas-dynamic flow process was carried out. The use of new approximation schemes in processing the results of experiments and computer simulation can reduce the calculation error by 1.2 percent.


2018 ◽  
Vol 46 (1) ◽  
pp. 29-51 ◽  
Author(s):  
Jean-Paul Chavas ◽  
Salvatore Di Falco ◽  
Felice Adinolfi ◽  
Fabian Capitanio

2010 ◽  
Vol 389 (1) ◽  
pp. 91-99 ◽  
Author(s):  
Sang Hoon Kang ◽  
Zhuhua Jiang ◽  
Yeonjeong Lee ◽  
Seong-Min Yoon
Keyword(s):  

Space Weather ◽  
2016 ◽  
Vol 14 (5) ◽  
pp. 343-350 ◽  
Author(s):  
E. B. Clements ◽  
A. K. Carlton ◽  
C. J. Joyce ◽  
N. A. Schwadron ◽  
H. E. Spence ◽  
...  

2015 ◽  
Vol 69 (Suppl 1) ◽  
pp. A49.3-A50 ◽  
Author(s):  
X Li ◽  
PM Kearney ◽  
E Keane ◽  
J Harrington ◽  
AP Fitzgerald

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Li Ding ◽  
Zhenwei Wang

A robust flight controller based on linear active disturbance rejection control (LADRC) is proposed for stability control of an aerial robot quadrotor under wind gusts. The nonlinear dynamical model of the quadrotor, considering the wind disturbance, is firstly established through Newton-Euler method. Subsequently, a robust LADRC technique is proposed to design the controllers for the inner loop and outer loop of the aircraft. In this control scheme, the linear extended state observer (LESO) serves as a compensator which can effectively reject the wind gusts. Then, a method of parameter tuning is introduced to obtain the optimized control performance. Finally, the effectiveness and advantages of the proposed controller are demonstrated through series of simulation case.


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