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Journal articles on the topic 'Static measurement'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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1

Regnier, Claude H. "Direct static measurement of obstruction." Neurourology and Urodynamics 5, no. 3 (1986): 251–57. http://dx.doi.org/10.1002/nau.1930050304.

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2

Lohmann, Karen N., Harry E. Rayhel, Walter P. Schneiderwind, and Jerome V. Danoff. "Static Measurement of Tibia Vara." Physical Therapy 67, no. 2 (February 1, 1987): 196–99. http://dx.doi.org/10.1093/ptj/67.2.196.

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3

Diodati, P. "Ultrasonic method for static pressure measurement." Review of Scientific Instruments 57, no. 2 (February 1986): 293–95. http://dx.doi.org/10.1063/1.1138932.

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4

Kerber, M., and U. Schwalke. "Equilibrium controlled static C-V measurement." Solid-State Electronics 34, no. 10 (October 1991): 1141–48. http://dx.doi.org/10.1016/0038-1101(91)90111-b.

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5

Kim, Kyungrim, Jinwook Kim, Xiaoning Jiang, and Taeyang Kim. "Static Force Measurement Using Piezoelectric Sensors." Journal of Sensors 2021 (March 15, 2021): 1–8. http://dx.doi.org/10.1155/2021/6664200.

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In force measurement applications, a piezoelectric force sensor is one of the most popular sensors due to its advantages of low cost, linear response, and high sensitivity. Piezoelectric sensors effectively convert dynamic forces to electrical signals by the direct piezoelectric effect, but their use has been limited in measuring static forces due to the easily neutralized surface charge. To overcome this shortcoming, several static (either pure static or quasistatic) force sensing techniques using piezoelectric materials have been developed utilizing several unique parameters rather than just the surface charge produced by an applied force. The parameters for static force measurement include the resonance frequency, electrical impedance, decay time constant, and capacitance. In this review, we discuss the detailed mechanism of these piezoelectric-type, static force sensing methods that use more than the direct piezoelectric effect. We also highlight the challenges and potentials of each method for static force sensing applications.
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6

Miller, Jonathan, Simon Fletcher, Andrew Longstaff, and Simon Parkinson. "Simultaneous Constant Velocity Measurement of the Motion Errors of Linear Axes." International Journal of Automation Technology 14, no. 3 (May 5, 2020): 417–28. http://dx.doi.org/10.20965/ijat.2020.p0417.

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The current standard for machine tool calibration supports the use of quasi-static measurement techniques. When measuring the six degrees of freedom motion errors, the measurements are typically taken consecutively. This introduces uncertainty when comparing the results due to machine deformation during individual measurements. Furthermore, quasi-static measurement techniques are known to be time consuming, a problem that is exacerbated as each degree of freedom must be measured separately. Additionally, the spatial resolution between the selected target positions can have an impact on calibration quality. In the following paper, the benefits of measuring the six motion errors simultaneously while the axis under test is traversing at a nominally constant velocity are presented. Firstly, the motivation for simultaneous continuous capture is presented. Secondly, continuous motion measurements are compared with quasi-static measurements for the six degrees of freedom motion errors showing sub-micrometer and sub-arcsecond correlation. The full effect of a ball screw pitch error is shown which can be missed using traditional quasi-static measurement techniques. Finally, wavelet analysis is performed for further spatial diagnostics along with correlation coefficients calculated to quantify the linear dependency between the six error motions.
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7

Theissen, Nikolas, Theodoros Laspas, Stefan Cedergren, and Andreas Archenti. "Measurement for the identification of static and quasi-static rotational stiffness." Precision Engineering 72 (November 2021): 215–23. http://dx.doi.org/10.1016/j.precisioneng.2021.04.011.

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8

MASUDA, Hiroaki, and Shunya IKUMI. "Measurement of static electricity of particulate object." Journal of the Society of Powder Technology, Japan 23, no. 6 (1986): 443–49. http://dx.doi.org/10.4164/sptj.23.443.

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9

Jin, Dun, Yue Ming Yang, Jie Wu, Li Min Song, and Song Li. "Static Force Measurement Technology Wind Tunnel Test." Applied Mechanics and Materials 423-426 (September 2013): 1689–92. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.1689.

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Static force measurement aerodynamic wind tunnel test data provided by the aircraft normally used to predict the stall characteristics, predicted aircraft deviated,spin Sensitivities, numerical simulation of aircraft stall, spin dynamics and so on. Based on practical flight, the paper analyzed the harm of limit state flight-spin to the flight safe, emphasized the static force test techniques at high angles of attack, and obtained a series of aerodynamic test date, managed them to spin prediction analysis.
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10

Lin, Chung-Hsien, Mi-Ching Tsai, and Shih-Wei Hsiao. "Static force measurement for automation assembly systems." Sensors and Actuators A: Physical 187 (November 2012): 147–53. http://dx.doi.org/10.1016/j.sna.2012.09.001.

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11

Ramanathan, Arun K., Leon M. Headings, and Marcelo J. Dapino. "Near static strain measurement with piezoelectric films." Sensors and Actuators A: Physical 301 (January 2020): 111654. http://dx.doi.org/10.1016/j.sna.2019.111654.

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12

Ruzicka, J., M. Nalos, V. Sramek, I. Novák, R. Rokyta, M. Matejovic, and P. Hora. "Automatic static pV curves measurement (RM software)." Critical Care 2, Suppl 1 (1998): P087. http://dx.doi.org/10.1186/cc217.

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13

Voipio, Hannu. "ON MEASUREMENT OF REFRACTION WITH STATIC SKIASCOPY." Acta Ophthalmologica 32, no. 4 (June 25, 2009): 363–74. http://dx.doi.org/10.1111/j.1755-3768.1954.tb05056.x.

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14

Ashok, Amit, Liang-Chih Huang, and Mark A. Neifeld. "Information optimal compressive sensing: static measurement design." Journal of the Optical Society of America A 30, no. 5 (April 10, 2013): 831. http://dx.doi.org/10.1364/josaa.30.000831.

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15

Egan, David A. "The Measurement of Static Pelvic Skeletal Asymmetry." Spine 25, no. 19 (October 2000): 2551–52. http://dx.doi.org/10.1097/00007632-200010010-00024.

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16

Gunn, L. J., A. Allison, and D. Abbott. "Identification of static distortion by noise measurement." Electronics Letters 49, no. 21 (October 2013): 1321–23. http://dx.doi.org/10.1049/el.2013.2547.

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17

Heitz, S., D. Weidauer, and A. Hese. "Measurement of static polarizabilities on s‐tetrazine." Journal of Chemical Physics 95, no. 11 (December 1991): 7952–56. http://dx.doi.org/10.1063/1.461324.

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18

Gawronek, Pelagia, and Maria Makuch. "TLS Measurement during Static Load Testing of a Railway Bridge." ISPRS International Journal of Geo-Information 8, no. 1 (January 17, 2019): 44. http://dx.doi.org/10.3390/ijgi8010044.

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Terrestrial laser scanning (TLS) technology has become increasingly popular in investigating displacement and deformation of natural and anthropogenic objects. Regardless of the accuracy of deformation identification, TLS provides remote comprehensive information about the measured object in a short time. These features of TLS were why TLS measurement was used for a static load test of an old, steel railway bridge. The results of the measurement using the Z+F Imager 5010 scanner and traditional surveying methods (for improved georeferencing) were compared to results of precise reflectorless tacheometry and precise levelling. The analyses involved various procedures for the determination of displacement from 3D data (black & white target analysis, point cloud analysis, and mesh surface analysis) and the need to pre-process the 3D data was considered (georeferencing, automated filtering). The results demonstrate that TLS measurement can identify vertical displacement in line with the results of traditional measurements down to ±1 mm.
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19

Tassler, PL, AL Dellon, and NM Scheffler. "Computer-assisted measurement in diabetic patients with and without foot ulceration." Journal of the American Podiatric Medical Association 85, no. 11 (November 1, 1995): 679–84. http://dx.doi.org/10.7547/87507315-85-11-679.

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Computer-assisted measurement of sensibility was done at four anatomical sites of the foot of patients with diabetes with (19) and without (40) foot ulceration. Cutaneous pressure threshold measurements of patients with diabetes were compared with measurements on 30 patients without diabetes who had nonulcerated feet. Both groups had mean one-point static and moving touch, and two-point discrimination thresholds significantly different from the general population. Computer-assisted sensibility testing demonstrated significantly higher pressure thresholds for one-point static and moving touch and two-point discrimination in the ulcerated compared with the nonulcerated foot of patients with diabetes. This measurement technique is valid for documenting diminished sensation in the foot.
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20

KEMPF, Roland, Yuichi KURITA, Yoshichika IIDA, Makoto KANEKO, Hiromu K. MISHIMA, Hidetoshi TSUKAMOTO, and Eiichiro SUGIMOTO. "2P1-C02 Quasi-static analysis of eye pressure measurement in non-contact tonometry." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2006 (2006): _2P1—C02_1—_2P1—C02_3. http://dx.doi.org/10.1299/jsmermd.2006._2p1-c02_1.

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21

Adamczak, Stanisław, Jerzy Bochnia, and Czesław Kundera. "Stress and strain measurements in static tensile tests." Metrology and Measurement Systems 19, no. 3 (October 1, 2012): 531–40. http://dx.doi.org/10.2478/v10178-012-0046-3.

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Abstract The paper deals with the accuracy of measurements of strains (elongation and necking) and stresses (tensile strength) in static room-temperature tensile strength tests. We present methods for calculating measurement errors and uncertainties, and discuss the determination of the limiting errors of the quantities measured for circular and rectangular specimens, which is illustrated with examples.
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22

Lee, Chul-Hee, and Andreas A. Polycarpou. "Static Friction Experiments and Verification of an Improved Elastic-Plastic Model Including Roughness Effects." Journal of Tribology 129, no. 4 (April 17, 2007): 754–60. http://dx.doi.org/10.1115/1.2768074.

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An experimental study was conducted to measure the static friction coefficient under constant normal load and different interface conditions. These include surface roughness, dwell time, displacement rate, as well as the presence of traces of lubricant and wear debris at the interface. The static friction apparatus includes accurate measurement of friction, normal and lateral forces at the interface (using a high dynamic bandwidth piezoelectric force transducer), as well as precise motion control and measurement of the sliding mass. The experimental results show that dry surfaces are more dependent on the displacement rate prior to sliding inception compared to boundary lubricated surfaces in terms of static friction coefficient. Also, the presence of wear debris, boundary lubrication, and rougher surfaces decrease the static friction coefficient significantly compared to dry smooth surfaces. The experimental measurements under dry unlubricated conditions were subsequently compared to an improved elastic-plastic static friction model, and it was found that the model captures the experimental measurements of dry surfaces well in terms of the surface roughness.
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23

Vykoukal, Ondřej, Lumír Hružík, and Adam Bureček. "Static Characteristics of Pressure Control Valve." Strojnícky casopis – Journal of Mechanical Engineering 67, no. 1 (April 1, 2017): 119–24. http://dx.doi.org/10.1515/scjme-2017-0012.

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Abstract The article deals with the measurement of static characteristics of a pressure control valve. The pressure, at which the valve starts to leak oil, is adjusted by a spring. The measurement is performed on a hydraulic system that consists of tank, hydraulic pump, check valve, relief valve and pressure control valve which is measured. The results of this experimental measurement are Δp - Q characteristics of the pressure control valve for various pressure settings.
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24

Scholz, Timo, Astrid Zech, Karl Wegscheider, Susanne Lezius, Klaus-Michael Braumann, Susanne Sehner, and Karsten Hollander. "Reliability and Correlation of Static and Dynamic Foot Arch Measurement in a Healthy Pediatric Population." Journal of the American Podiatric Medical Association 107, no. 5 (September 1, 2017): 419–27. http://dx.doi.org/10.7547/16-133.

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Background: Measurement of the medial longitudinal foot arch in children is a controversial topic, as there are many different methods without a definite standard procedure. The purpose of this study was to 1) investigate intraday and interrater reliability regarding dynamic arch index and static arch height, 2) explore the correlation between both arch indices, and 3) examine the variation of the medial longitudinal arch at two different times of the day. Methods: Eighty-six children (mean ± SD age, 8.9 ± 1.9 years) participated in the study. Dynamic footprint data were captured with a pedobarographic platform. For static arch measurements, a specially constructed caliper was used to assess heel-to-toe length and dorsum height. A mixed model was established to determine reliability and variation. Results: Reliability was found to be excellent for the static arch height index in sitting (intraday, 0.90; interrater, 0.80) and standing positions (0.88 and 0.85) and for the dynamic arch index (both 1.00). There was poor correlation between static and dynamic assessment of the medial longitudinal arch (standing dynamic arch index, r = –0.138; sitting dynamic arch index, r = –0.070). Static measurements were found to be significantly influenced by the time of day (P < .001), whereas the dynamic arch index was unchanged (P = .845). This study revealed some further important findings. The static arch height index is influenced by gender (P = .004), whereas dynamic arch index is influenced by side (P = .011) and body mass index (P < .001). Conclusions: Dynamic and static foot measurements are reliable for medial longitudinal foot arch assessment in children. The variation of static arch measurements during the day has to be kept in mind. For clinical purposes, static and dynamic arch data should be interpreted separately.
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25

Parish, Thomas R., and David Leon. "Measurement of Cloud Perturbation Pressures Using an Instrumented Aircraft." Journal of Atmospheric and Oceanic Technology 30, no. 2 (February 1, 2013): 215–29. http://dx.doi.org/10.1175/jtech-d-12-00011.1.

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Abstract Vertical accelerations during the early stages of convective cloud formation are often the result of buoyancy and the perturbation vertical pressure gradient forces. Convection modifies the local pressure field surrounding the cloud. Measurement of the cloud perturbation pressure field is challenging over distance scales on the order of the convective elements, since the signals are often small and the turbulent environment complicates the measurement of static pressure. A technique is described that enables detection of the horizontal pressure perturbations associated with evolving convective clouds using global positioning system measurements on an airborne platform. Differential kinematic processing of data from dual-frequency, carrier-phase-tracking GPS receivers on research aircraft with static base station receivers enables the three-dimensional aircraft position to be resolved within decimeters. Vertical positioning and precise measurement of static pressure allow horizontal pressure perturbations to be determined to an accuracy of roughly 10 Pa. Errors in the static pressure measurement, rather than the GPS-derived altitude, are the largest source of error. A field experiment was conducted in May–June 2008 to demonstrate measurement of perturbations in the horizontal pressure field associated with summertime cumulus congestus clouds over the high plains. Observations of growing convective clouds show negative pressure perturbations on the order of 100 Pa near cloud base linked to updraft regions. Growing cumulus show a high degree of variability between subsequent passes that demonstrate that the horizontal pressure fields evolve rapidly along with attendant vertical circulations and cloud microphysical characteristics.
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26

Yusof, Mohd Azrin bin, Yusuke Iwasaki, Yasunobu Shimizu, and Shinichi Suzuki. "OS7-16 Static Experiment on Rapid Crack Bifurcation with Y-shaped and Parallel Notches(Stress and strain measurement V,OS7 Stress and strain measurement,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 107. http://dx.doi.org/10.1299/jsmeatem.2015.14.107.

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27

Köhler, Michael, Michael Schardt, Markus Rauscher, and Alexander Koch. "Gas Measurement Using Static Fourier Transform Infrared Spectrometers." Sensors 17, no. 11 (November 13, 2017): 2612. http://dx.doi.org/10.3390/s17112612.

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28

Park, Philip, Yong Hak Huh, Dong Jin Kim, and Byung Jik Son. "Crack Detection by Static Measurement in Steel Beams." Key Engineering Materials 321-323 (October 2006): 394–99. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.394.

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Effects of crack on static behavior in steel box girder were investigated to identify the possibility of crack detection and location using conventionally measured static data including deflection and inclination. Finite element analysis with finely meshed 3-D models and experiments were performed for steel box girder with crack. To eliminate the variation according to load magnitude, compliance technique was applied to analysis of the result. Through this study, the quantitative relationship between crack size and structural responses of deflection and inclination were obtained as a form of relation-curve. This relation-curve can be utilized to evaluate crack size in the steel box girder bridge. The results also demonstrated that the location of crack can be estimated by static measurement.
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29

Mabey, Dennis G. "Comment on 'In-flight measurement of static pressures'." Journal of Aircraft 30, no. 3 (May 1993): 432. http://dx.doi.org/10.2514/3.46362.

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30

KIMURA, Atsunori, and Junjiro IWAMOTO. "Static Pressure Measurement of High-speed Pulsating Jet." Proceedings of the JSME annual meeting 2000.4 (2000): 103–4. http://dx.doi.org/10.1299/jsmemecjo.2000.4.0_103.

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31

Sekalski, P., A. Napieralski, M. Fouaidy, A. Bosotti, and R. Paparella. "Measurement of static force at liquid helium temperature." Measurement Science and Technology 18, no. 8 (July 6, 2007): 2356–64. http://dx.doi.org/10.1088/0957-0233/18/8/009.

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32

Wolf, Fabian, Judita Kruse, and Rolf Ernst. "Timing and power measurement in static software analysis." Microelectronics Journal 33, no. 1-2 (January 2002): 91–100. http://dx.doi.org/10.1016/s0026-2692(01)00108-2.

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33

Boybay, Muhammed S., and Omar M. Ramahi. "Non-Destructive Thickness Measurement Using Quasi-Static Resonators." IEEE Microwave and Wireless Components Letters 23, no. 4 (April 2013): 217–19. http://dx.doi.org/10.1109/lmwc.2013.2249056.

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34

NIELAN, GARY J., RENATA S. REHDER, NORM G. DUCHARME, and RICHARD P. HACKETT. "Measurement of Tracheal Static Pressure in Exercising Horses." Veterinary Surgery 21, no. 6 (November 1992): 423–28. http://dx.doi.org/10.1111/j.1532-950x.1992.tb00075.x.

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35

Ducker, William A., and Robert F. Cook. "Rapid measurement of static and dynamic surface forces." Applied Physics Letters 56, no. 24 (June 11, 1990): 2408–10. http://dx.doi.org/10.1063/1.102893.

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36

López-Marrero, Marcos, Luis Fernando Rodríguez-Ramos, José Gil Marichal-Hernández, and José Manuel Rodríguez-Ramos. "Static telescope aberration measurement using lucky imaging techniques." Experimental Astronomy 34, no. 1 (February 24, 2012): 1–11. http://dx.doi.org/10.1007/s10686-012-9291-4.

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37

Jamil, A., S. Herodian, and L. Saulia. "RGB-D sensor application for static anthropometry measurement." IOP Conference Series: Earth and Environmental Science 542 (August 7, 2020): 012036. http://dx.doi.org/10.1088/1755-1315/542/1/012036.

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38

Heitz, S., D. Weidauer, B. Rosenow, and A. Hese. "Measurement of static polarizabilities on C10H8 and C10D8." Journal of Chemical Physics 96, no. 2 (January 15, 1992): 976–81. http://dx.doi.org/10.1063/1.462118.

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39

Valls Martin, Ramon, and Elio Alberto Perigo. "A Static Measurement System for Soft Magnetic Materials." IEEE Transactions on Magnetics 50, no. 4 (April 2014): 1–4. http://dx.doi.org/10.1109/tmag.2013.2285730.

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40

ŠTIMAC GRANDIĆ, Ivana, and Davor GRANDIĆ. "Estimation of damage severity using sparse static measurement." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 2 (November 29, 2015): 213–21. http://dx.doi.org/10.3846/13923730.2015.1027256.

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A new structural damage estimation procedure using grey relation coefficient and curvature of displacement influence line in beams using sparse measurement is proposed in this paper. The method is based on static structural response which can be obtained using single sensor. Determination of damage location as well as determination of corre­sponding damage severity can be easily calculated with simple arithmetic operations, which is the main advantage of the proposed method. Conducted numerical simulation for different damage scenarios and various measurement sparseness and experimental validation confirm the effectiveness of proposed damage severity estimation procedure.
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41

Mackay, M. "Static pressure measurement with surface-mounted disc probes." Experiments in Fluids 9, no. 1-2 (1990): 105–7. http://dx.doi.org/10.1007/bf00575342.

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42

Taylor, Leah, Emily Miller, and Kenton R. Kaufman. "Static and dynamic validation of inertial measurement units." Gait & Posture 57 (September 2017): 80–84. http://dx.doi.org/10.1016/j.gaitpost.2017.05.026.

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43

Garkusha, V. V., V. Yu Kondakov, A. V. Konyshev, and �. M. Sheinin. "Standardizing measurement error with periodic static characteristic correction." Measurement Techniques 47, no. 9 (September 2004): 857–59. http://dx.doi.org/10.1007/s11018-005-0024-1.

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44

Lyamin, G. A., A. V. Pinaev, and A. S. Lebedev. "Piezoelectrics for measurement of impulsive and static pressures." Combustion, Explosion, and Shock Waves 27, no. 3 (1991): 355–63. http://dx.doi.org/10.1007/bf00789671.

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45

Dunkin, John E., and Dae E. Kim. "Measurement of static friction coefficient between flat surfaces." Wear 193, no. 2 (May 1996): 186–92. http://dx.doi.org/10.1016/0043-1648(95)06706-x.

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46

Radoi, Andrei, Cezar Margineanu, Constantin Ploesteanu, and Vasile Pangratie. "Static and Dynamic Structural Health Monitoring System for Bridges." Romanian Journal of Transport Infrastructure 10, no. 1 (July 1, 2021): 108–23. http://dx.doi.org/10.2478/rjti-2021-0007.

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Abstract This document describes a system for static and dynamic monitoring of the structural health of bridges, but not only. The need to develop the system resulted from the difficulties encountered by the authors in installing and operating complex monitoring systems, composed of elements from different manufacturers, with different measurement technologies, power supplies, communication modes and software applications. The described system facilitates the integration of different measurements, sensors, power supplies and communication technologies, in a unitary system that allows both static and dynamic measurements, simultaneously.
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47

Liu, Du Xi, Sen Zhang, Yun Long Zhu, and Qiu Xia Qin. "Parametric Design of Static Tube for Long-Distance Outboard Precision Atmospheric Static Pressure Measurement." Advanced Materials Research 904 (March 2014): 404–7. http://dx.doi.org/10.4028/www.scientific.net/amr.904.404.

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Trailing cone method is generally used for atmospheric pressure measurement among airspeed calibration, of which the accuracy is not high enough and the hysteresis error exists. So a long-distance outboard precision airspeed calibration method is put forward. This paper focuses on the study on parametric design of static tube which is the sensing element of the newmethod. The flow field of the static tube is simulated and analyzed to get position error curve in flight test environment by using Computational Fluid Dynamics (CFD) technology. Based on the simulation result and considering the impact of front and rear connectors, the main geometric paramters of static tube is determined and optimized. The calculation result indicates that, pressure coefficient Cp of the static tube is less than 0.0198.
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48

Cheng, Xiang Wen, and Nan Shi. "Uncertainty Analysis for Static Balance Measurement of Hollow Be Rotor." Applied Mechanics and Materials 670-671 (October 2014): 1247–51. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1247.

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The hollow Be rotor is grinded by the four-shaft-ball lapping machine, it has been repeated grinded to reach the accuracy requirement. The eccentric distance of rotor is measured by gas floating method. Actual measurements found that repeated measurement of the balancing cycle change a little during the rough finish and semi finishing stage while it changes a lot in the finish machining stage. This paper established the rotor balance equation of gas floating that is solved by Matlab software, and draw the curve of motion of the rotor changing along with time, analyze the motion curve to draw a conclusion that the starting conditions of finish machining stage have large influence on balancing cycle.
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49

Song, Jun-Hyeok, Eun-Taik Lee, and Hee-Chang Eun. "Optimal sensor placement through expansion of static strain measurements to static displacements." International Journal of Distributed Sensor Networks 17, no. 1 (January 2021): 155014772199171. http://dx.doi.org/10.1177/1550147721991712.

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Optimal sensor placement is used to establish the optimal sensor quantity and layout. In this study, the minimum quantity and locations of measurement sensors were assumed to satisfy the constraint conditions of the optimal sensor placement. A set of strain data in a truss structure was expanded to another set of displacements corresponding to the entire degrees of freedom from the relationship between the strain and displacement. It indicates to reduce the number of sensors because the strain depends on the displacements in a finite element model. The damaged truss element was traced using the expanded data that satisfied the prescribed constraints. The proposed optimal sensor placement method has a merit to explicitly determine the optimal sensor locations without any numerical scheme and statistical methods. The method was applied to the damage detection of a single-damaged truss structure. It was shown that the optimal sensor placement method depended on the sensor layout irrespective of the same quantity of sensors. In addition, a numerical example was used to compare sensitivities to damage detection based on the sensor placement and the existence of external noise contained in the measurement data.
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50

Rochette, P., E. G. Gregorich, and R. L. Desjardins. "Comparison of static and dynamic closed chambers for measurement of soil respiration under field conditions." Canadian Journal of Soil Science 72, no. 4 (November 1, 1992): 605–9. http://dx.doi.org/10.4141/cjss92-050.

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The objective of this study was to compare the dynamic closed and static chamber techniques for the measurement of soil respiration under field conditions. The static chamber method consistently produced lower soil respiration values than did the dynamic closed system and the difference was larger at higher CO2 fluxes. A negative exponential model describes the relation between CO2 fluxes measured by both techniques. A good fit was obtained for measurements on a sandy loam soil (R2 = 0.61) and an organic soil (R2 = 0.74) but parameter estimates were different for each soil. Key words: Carbon dioxide, enclosure, gas flux measurement
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