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Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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1

Dragičević, N., B. Karleuša, and N. Ožanić. "Erosion Potential Method (Gavrilović method) sensitivity analysis." Soil and Water Research 12, No. 1 (January 18, 2017): 51–59. http://dx.doi.org/10.17221/27/2016-swr.

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Анотація:
In recent decades, various methods for erosion intensity and sediment production assessment have been developed. The necessity for better model performance has led to the more frequent application of the method sensitivity and uncertainty assessments in order to decrease errors that arise from the model concept and its main assumptions. The analysis presented in this paper refers to the application of the Gavrilović method (Erosion Potential Method), an empirical and semi-quantitative method that can estimate the amount of sediment production and sediment transport as well as the erosion intensity and indicate the areas potentially threatened by erosion. The emphasis in this paper is given upon the method sensitivity analysis that has not previously been conducted for the Gavrilović method. The sensitivity analysis was conducted for fourteen different parameters included in the method, all in relation to different model outputs. Each parameter was perceived and discussed individually in relation to its effect upon the method outputs, and ranked into categories depending on their influence on one or more model outputs. The objective of the analysis was to explore the constraints of the Gavrilović method and the method response to changes deriving from the each individual parameter in an attempt to provide a better understanding of the method, the weight and the contribution of each parameter in the overall method. The parameters that could potentially be used in future research, for method modification and calibration in areas with different catchment characteristics (e.g. climate, geological, etc.) were identified. The most sensitive model parameters resulting from conducted sensitivity analysis for the Gavrilović method are also those considered to be significant in the scientific literature on erosion. The Gavrilović method sensitivity analysis has been done on a case study for the Dubracina catchment area, Croatia.
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2

Swanson, Paul E., and Mark R. Wick. "Definition of Method Sensitivity." American Journal of Clinical Pathology 93, no. 2 (February 1, 1990): 300. http://dx.doi.org/10.1093/ajcp/93.2.300a.

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3

TANAKA, Yasutaroh. "^|^alpha; Parameter Ultimate Sensitivity Method." Transactions of the Society of Instrument and Control Engineers 30, no. 4 (1994): 407–16. http://dx.doi.org/10.9746/sicetr1965.30.407.

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4

Asundi, A. "Variable sensitivity shadow moire method." Journal of Strain Analysis for Engineering Design 20, no. 1 (January 1985): 59–61. http://dx.doi.org/10.1243/03093247v201059.

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5

YAN, Ming. "Analysis method of reliability sensitivity based on response surface methods." Chinese Journal of Mechanical Engineering 43, no. 10 (2007): 67. http://dx.doi.org/10.3901/jme.2007.10.067.

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6

Lu, Zhenzhou, Shufang Song, Zhufeng Yue, and Jian Wang. "Reliability sensitivity method by line sampling." Structural Safety 30, no. 6 (November 2008): 517–32. http://dx.doi.org/10.1016/j.strusafe.2007.10.001.

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7

de Lataillade, A., S. Blanco, Y. Clergent, J. L. Dufresne, M. El Hafi, and R. Fournier. "Monte Carlo method and sensitivity estimations." Journal of Quantitative Spectroscopy and Radiative Transfer 75, no. 5 (December 2002): 529–38. http://dx.doi.org/10.1016/s0022-4073(02)00027-4.

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8

Sheshera, Nikolay Gennadievich. "Sensitivity of injury frequency rate method." Herald of the Ural State University of Railway Transport, no. 1 (2016): 116–22. http://dx.doi.org/10.20291/2079-0392-2016-1-116-122.

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9

Lund, Erna, B. Funder-Schmidt, Henry Christensen, and Annalise Dupont. "SENSITIVITY TEST WITH THE TABLET METHOD." Acta Pathologica Microbiologica Scandinavica 29, no. 3 (August 17, 2009): 221–24. http://dx.doi.org/10.1111/j.1699-0463.1951.tb00121.x.

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10

Ma, Ming-Da, and Xin-Jian Zhu. "PI Design Method Based on Sensitivity." Industrial & Engineering Chemistry Research 45, no. 9 (April 2006): 3174–81. http://dx.doi.org/10.1021/ie0505817.

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11

MOTOYAMA, Yasunori, and Nobuatsu TANAKA. "Sensitivity analysis method of CFD Solutions." Proceedings of Ibaraki District Conference 2003 (2003): 37–38. http://dx.doi.org/10.1299/jsmeibaraki.2003.37.

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12

Yoda, Kiyoshi, and Satoshi Fujimura. "Measurement Method of NMR Probe Sensitivity." IEEJ Transactions on Electronics, Information and Systems 108, no. 3 (1988): 203–7. http://dx.doi.org/10.1541/ieejeiss1987.108.3_203.

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13

SOBUE, M., Y. IKEDA, E. KITA, and N. KAMIYA. "Sensitivity Analysis Using Direct Trefftz Method." Proceedings of The Computational Mechanics Conference 2000.13 (2000): 431–32. http://dx.doi.org/10.1299/jsmecmd.2000.13.431.

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14

Heo, Joo Ho, and K. F. Ehmann. "A Method for Substructural Sensitivity Synthesis." Journal of Vibration and Acoustics 113, no. 2 (April 1, 1991): 201–8. http://dx.doi.org/10.1115/1.2930170.

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Анотація:
A new method, termed the substructural sensitivity synthesis method, which utilizes the computational merits of the component mode synthesis technique was proposed for the simple calculation of design sensitivities of the dynamic characteristics of substructurally combined structures. It has been shown that the modal sensitivities of the entire structure can be obtained by synthesizing the substructural modal data and the sensitivities of the modal data for the design variables of the modifiable substructure. For a truss structure, as an example, the sensitivities of the eigenvalues and eigenvectors obtained by the new method were compared with exact solutions in terms of accuracy and computational efficiency.
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15

Saltzman, Bruce. "High‐sensitivity stethoscopic system and method." Journal of the Acoustical Society of America 85, no. 3 (March 1989): 1397. http://dx.doi.org/10.1121/1.397983.

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16

Zhaoyang, Wang, Dai Fulong, and Jiang Xiaolin. "High resolution, high sensitivity moire method." Acta Mechanica Sinica 15, no. 2 (May 1999): 176–81. http://dx.doi.org/10.1007/bf02485882.

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17

Radharamanan, R., A. Galelli, D. T. Alex, and L. L. Perez. "Sensitivity analysis on the CUSUM method." International Journal of Production Economics 33, no. 1-3 (January 1994): 89–95. http://dx.doi.org/10.1016/0925-5273(94)90122-8.

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18

Lu, Zhenzhou, Jun Song, Shufang Song, Zhufeng Yue, and Jian Wang. "Reliability sensitivity by method of moments." Applied Mathematical Modelling 34, no. 10 (October 2010): 2860–71. http://dx.doi.org/10.1016/j.apm.2009.12.020.

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19

Lin, Shengqiang, Ming Xie, Meng Wu, and Weixing Zhou. "Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test." Journal of Chemistry 2018 (August 1, 2018): 1–8. http://dx.doi.org/10.1155/2018/5127393.

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Анотація:
Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate the effect of input parameters on model outputs. In this paper, a criterion for frequency selection to input parameter is proposed so that Fourier amplitude sensitivity test (FAST) method can evaluate the complex model with a low sample size. This developed FAST method can establish the relationship between the number of input parameters and sample size needed to measure sensitivity indices with high accuracy. The performance of this FAST method which can allow both the qualitative and quantitative analysis of complex systems is validated by a H2/air combustion model and a CH4/air combustion model. This FAST method is also compared with other GSA methods to illustrate the features of this FAST method. The results show that FAST method can evaluate the reaction systems with low sample size, and the sensitivity indices obtained from the FAST method can provide more important information which the variance-based GSA methods cannot obtain. FAST method can be a remarkably effective tool for the modelling and diagnosis of large chemical reaction.
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20

Banks, H., K. Bekele-Maxwell, L. Bociu, M. Noorman, and K. Tillman. "THE COMPLEX-STEP METHOD FOR SENSITIVITY ANALYSIS OF NON-SMOOTH PROBLEMS ARISING IN BIOLOGY." Eurasian Journal of Mathematical and Computer Applications 3, no. 1 (2015): 16–68. http://dx.doi.org/10.32523/2306-3172-2015-3-3-16-68.

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21

Khrystosenko, R. V. "Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity." Semiconductor Physics Quantum Electronics and Optoelectronics 18, no. 3 (September 30, 2015): 279–85. http://dx.doi.org/10.15407/spqeo18.03.279.

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22

Yanfang, Z., Z. Yanlin, and Z. Yimin. "Reliability sensitivity based on first-order reliability method." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, no. 9 (June 30, 2011): 2189–97. http://dx.doi.org/10.1177/0954406211405938.

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Анотація:
A new efficient and accurate method for reliability sensitivity analysis of mechanical components is proposed based on the first-order reliability method (FORM). This method provides very close approximate solutions for strongly non-linear limit state functions with independent normal random variables. But most probable point should be searched at first. Three methods are presented and investigated for reliability-based sensitivity analysis. They are, respectively, based on three different reliability analysis methods which are mean-value first-order reliability method, Monte Carlo method, and FORM. Numerical results of the three methods are calculated out by three examples. The accuracy and efficiency of the new method are demonstrated by the comparison of the numerical results.
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23

NISHIDA, Masashi, Tomomasa UEMURA, and Takashi TETSUKAWA. "Fast and High Sensitivity PIV Analysis Method." Journal of the Visualization Society of Japan 20, no. 1Supplement (2000): 65–66. http://dx.doi.org/10.3154/jvs.20.1supplement_65.

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24

Goodridge, Wayne S. "Sensitivity Analysis Using Simple Additive Weighting Method." International Journal of Intelligent Systems and Applications 8, no. 5 (August 5, 2016): 27–33. http://dx.doi.org/10.5815/ijisa.2016.05.04.

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25

Mao, Jian, and Yan Long Cao. "Tolerance Sensitivity Robust Design and Evaluation Method." Applied Mechanics and Materials 55-57 (May 2011): 924–28. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.924.

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Robust design is less sensitive to the manufacturing variation and its demand for controlling the manufacturing variation can be reduced. The existing robust design techniques are limited to solve individual synthesis problems, and these methods seldom consider the problem of tolerance sensitivity. This paper presents a method for tolerance sensitivity design and evaluation. First, tolerance sensitivity robustness is analyzed and the tolerance sensitivity robust design models are developed. Then, the matrix analysis method is introduced to evaluate complex assembly relationship among design functions and parameters. The results show that compared with origional mothod, the proposed method is siutble and reliable.
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26

Giunta, Anthony A. "Sensitivity analysis method for aeroelastic aircraft models." Aircraft Design 2, no. 4 (December 1999): 207–30. http://dx.doi.org/10.1016/s1369-8869(99)00016-6.

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27

Chen, Xin, Arturo Molina-Cristóbal, Marin D. Guenov, and Atif Riaz. "Efficient method for variance-based sensitivity analysis." Reliability Engineering & System Safety 181 (January 2019): 97–115. http://dx.doi.org/10.1016/j.ress.2018.06.016.

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28

Ma, Xiaosong, K. M. B. Jansen, G. Q. Zhang, W. D. van Driel, O. van der Sluis, L. J. Ernst, C. Regards, C. Gautier, and H. Frémont. "A fast moisture sensitivity level qualification method." Microelectronics Reliability 50, no. 9-11 (September 2010): 1654–60. http://dx.doi.org/10.1016/j.microrel.2010.07.066.

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29

Scully, M. F., H. A. Decousus, V. Ellis, and V. V. Kakkar. "VARIABILITY IN HEPARIN SENSITIVITY ACCORDING TO METHOD." British Journal of Haematology 66, no. 3 (July 1987): 434. http://dx.doi.org/10.1111/j.1365-2141.1987.tb06936.x.

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30

Barber, D. C. "A sensitivity method for electrical impedance tomography." Clinical Physics and Physiological Measurement 10, no. 4 (November 1989): 368–70. http://dx.doi.org/10.1088/0143-0815/10/4/011.

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31

Rao, M. G. "High sensitivity He desorption leak detection method." Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films 11, no. 4 (July 1993): 1598–601. http://dx.doi.org/10.1116/1.578511.

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32

Masad, J. A., and M. R. Malik. "Sensitivity of eN Method of Transition Prediction." Journal of Fluids Engineering 118, no. 4 (December 1, 1996): 860–62. http://dx.doi.org/10.1115/1.2835521.

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33

Pelletier, Dominique, Alexander Hay, Stéphane Etienne, and Jeff Borggaard. "The sensitivity equation method in fluid mechanics." European Journal of Computational Mechanics 17, no. 1-2 (January 2008): 31–61. http://dx.doi.org/10.3166/remn.17.31-61.

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34

Lian, Ruichao, Shikai Jing, Haicheng Yang, and Xiaochen Liu. "Sensitivity Filtering Method Considering Partition Blending Weights." Journal of Computer-Aided Design & Computer Graphics 31, no. 5 (2019): 842. http://dx.doi.org/10.3724/sp.j.1089.2019.17336.

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35

Pavlyak, F. "Investigation of hydrogen sensitivity of SIMS method." Surface and Interface Analysis 19, no. 1-12 (June 1992): 232–36. http://dx.doi.org/10.1002/sia.740190145.

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36

Kristensen, Morten Rode, John Bagterp Jørgensen, Per Grove Thomsen, and Sten Bay Jørgensen. "An ESDIRK method with sensitivity analysis capabilities." Computers & Chemical Engineering 28, no. 12 (November 2004): 2695–707. http://dx.doi.org/10.1016/j.compchemeng.2004.08.004.

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37

Rakotoarison, H. L., V. Ardon, O. Chadebec, B. Delinchant, S. Guerin, and J. L. Coulomb. "Formal Sensitivity Computation of Magnetic Moment Method." IEEE Transactions on Magnetics 44, no. 6 (June 2008): 1014–17. http://dx.doi.org/10.1109/tmag.2007.915294.

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38

Donoho, D. L., I. M. Johnstone, A. S. Stern, and J. C. Hoch. "Does the maximum entropy method improve sensitivity?" Proceedings of the National Academy of Sciences 87, no. 13 (July 1, 1990): 5066–68. http://dx.doi.org/10.1073/pnas.87.13.5066.

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39

Kozulin, R. A. "Optimizing a high-sensitivity laser fluorescence method." Journal of Optical Technology 75, no. 5 (May 1, 2008): 285. http://dx.doi.org/10.1364/jot.75.000285.

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40

Fu, J., and J. W. Lamont. "Simultaneous service allocation by average sensitivity method." IEEE Transactions on Power Systems 15, no. 1 (2000): 234–40. http://dx.doi.org/10.1109/59.852127.

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41

Aktas, G., C. Z. �il, and E. Aktulga. "Sensitivity analysis of the modulated photocurrent method." Applied Physics A Solids and Surfaces 48, no. 3 (March 1989): 237–40. http://dx.doi.org/10.1007/bf00619391.

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42

Delfour, M. C., and J. P. Zolésio. "Shape sensitivity analysis via a penalization method." Annali di Matematica Pura ed Applicata 151, no. 1 (December 1988): 179–212. http://dx.doi.org/10.1007/bf01762794.

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43

Zhang, Yu, Yuanfu Xie, Hongli Wang, Dehui Chen, and Zoltan Toth. "Ensemble transform sensitivity method for adaptive observations." Advances in Atmospheric Sciences 33, no. 1 (November 27, 2015): 10–20. http://dx.doi.org/10.1007/s00376-015-5031-9.

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44

Cauty, F., and Ch Éradès. "Ultrasound measurement method: Errors, noise, and sensitivity." Combustion, Explosion, and Shock Waves 36, no. 1 (January 2000): 54–61. http://dx.doi.org/10.1007/bf02701514.

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45

Vetschera, R. "Sensitivity analysis for the ELECTRE multicriteria method." Zeitschrift für Operations Research 30, no. 4 (July 1986): B99—B117. http://dx.doi.org/10.1007/bf01920556.

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46

Turanyi, T., T. Berces, and J. T�th. "The method of quasi-stationary sensitivity analysis." Journal of Mathematical Chemistry 2, no. 4 (October 1988): 401–9. http://dx.doi.org/10.1007/bf01166303.

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47

Oral, S. "An improved semianalytical method for sensitivity analysis." Structural Optimization 11, no. 1-2 (February 1996): 67–69. http://dx.doi.org/10.1007/bf01279659.

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48

Wang, B. P., and A. P. Apte. "Complex Variable Method for Eigensolution Sensitivity Analysis." AIAA Journal 44, no. 12 (December 2006): 2958–61. http://dx.doi.org/10.2514/1.19225.

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49

Lu, Linghai, David J. Murray-Smith, and D. G. Thomson. "Sensitivity-Analysis Method for Inverse Simulation Application." Journal of Guidance, Control, and Dynamics 30, no. 1 (January 2007): 114–1215. http://dx.doi.org/10.2514/1.20722.

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50

Vlasevskiy, V. N., A. E. Belkin, and I. I. Ivanov. "Bearings stiffness parameter estimation by sensitivity method." IOP Conference Series: Materials Science and Engineering 1129, no. 1 (April 1, 2021): 012044. http://dx.doi.org/10.1088/1757-899x/1129/1/012044.

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