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Journal articles on the topic 'Sensitivity coefficient'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Bagheri-Sadeghi, Nojan, Brian T. Helenbrook, and Kenneth D. Visser. "Ducted wind turbine optimization and sensitivity to rotor position." Wind Energy Science 3, no. 1 (2018): 221–29. http://dx.doi.org/10.5194/wes-3-221-2018.

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Abstract. The design of a ducted wind turbine modeled using an actuator disc was studied using Reynolds-averaged Navier–Stokes (RANS) computational fluid dynamics (CFD) simulations. The design variables included the rotor thrust coefficient, the angle of attack of the duct cross section, the radial gap between the rotor and the duct, and the axial location of the rotor in the duct. Two different power coefficients, the rotor power coefficient (based on the rotor swept area) and the total power coefficient (based on the exit area of the duct), were used as optimization objectives. The optimal v

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2

Beck, James V., and Keith A. Woodbury. "Inverse heat conduction problem: Sensitivity coefficient insights, filter coefficients, and intrinsic verification." International Journal of Heat and Mass Transfer 97 (June 2016): 578–88. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2016.02.034.

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3

Gao, Tao, Xiao Guo, Hong Mei Yang, Hai Tao Li, and Zheng Zhu. "Sandstone Stress Sensitivity Experiment and Stress Sensitivity Evaluation." Advanced Materials Research 962-965 (June 2014): 526–30. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.526.

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Change confining pressure experiment or pore pressure experiment is one of the commonly used method to evaluate the reservoir core stress sensitivity. However, a large number of studies have shown that core net stress is not equal to the effective stress,the drawdown pore pressure experiment are consistent with the characteristics of oil and gas field real development process. The pressure stability of drawdown pore pressure experiment is bad, so, a reliable modified method of change confining pressure stress sensitivity experiment is eagerly expected. On the basis of the differential method p

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4

Pogudin, Grigorii K., Artem S. Aleinik, Alexander N. Nikitenko, et al. "Method for estimating the thermal sensitivity coefficient of a fiber-optic gyroscope loop." Journal of Optical Technology 91, no. 8 (2024): 533. https://doi.org/10.1364/jot.91.000533.

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Subject of study. This study investigates the thermal sensitivity coefficient of the fiber-optic gyroscope loop. Aim of study. The objective is to develop and validate a method for determining the mechanical and optical components of the temperature coefficient of the scale factor in a fiber-optic gyroscope. Method. The study employs an algorithm for experimentally determining the temperature coefficient of the scale factor in a fiber-optic gyroscope and a computational method for calculating the thermal sensitivity coefficient of the fiber loop. Main results. What we believe to be a novel met

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5

Perfetti, Christopher M., Bradley T. Rearden, and William R. Martin. "SCALE Continuous-Energy Eigenvalue Sensitivity Coefficient Calculations." Nuclear Science and Engineering 182, no. 3 (2016): 332–53. http://dx.doi.org/10.13182/nse15-12.

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6

Gordon, Gilbert, and Bernard Bubnis. "Residual Ozone Measurement: Indigo Sensitivity Coefficient Adjustment." Ozone: Science & Engineering 24, no. 1 (2002): 17–28. http://dx.doi.org/10.1080/01919510208901591.

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7

Singer, Saša. "Sensitivity of the Heat-Transfer Coefficient Calculation." Materials Performance and Characterization 3, no. 4 (2014): 20140006. http://dx.doi.org/10.1520/mpc20140006.

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8

Kim, Chan-Jung. "Sensitivity of the Viscous Damping Coefficient of Carbon Fiber in Carbon-Fiber-Reinforced Plastic with Respect to the Fiber Angle." Crystals 11, no. 7 (2021): 781. http://dx.doi.org/10.3390/cryst11070781.

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The variation in the viscous damping coefficient with the carbon fiber angle can be evaluated using the partial derivatives of the viscous damping coefficient with respect to the resonance frequency and modal damping ratio. However, the direct derivatives of the viscous damping coefficient were not effective solutions to the sensitivity analysis of carbon-fiber-reinforced plastic (CFRP) structures because the viscous damping from the binding matrix was not changed over the carbon fiber angle. If the identified viscous damping coefficients were assumed to be equivalent values from the parallel

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9

Yitzhaki, Shlomo. "On the Sensitivity of a Regression Coefficient to Monotonic Transformations." Econometric Theory 6, no. 2 (1990): 165–69. http://dx.doi.org/10.1017/s0266466600005107.

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This note presents a procedure which enables the user to check whether a monotonic transformation can change the sign of a regression coefficient. One possible use of this procedure is to examine the robustness of key regression coefficients.

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10

Castiglioni, P., G. Mancia, G. Parati, A. Pedotti, and M. Di Rienzo. "Critical Appraisal of Indices for the Assessment of Baroreflex Sensitivity." Methods of Information in Medicine 36, no. 04/05 (1997): 246–49. http://dx.doi.org/10.1055/s-0038-1636857.

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Abstract:The sequence technique and the spectral estimation of the alpha coefficient are currently employed for the assessment of “spontaneous” baroreflex sensitivity (BRS). The comparison of performance and effectiveness of these techniques is obtained by the analysis of systolic blood pressure (SBP) and pulse interval (PI) tracings recorded in conscious cats before and after baroreceptor denervation. Results indicate that (1) the average BRS estimates obtained by the sequence technique and by the alpha coefficient at the respiratory frequency are similar, (2) the alpha coefficients computed

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11

Kranenbarg, J., P. P. Jonsson, B. G. Mulu, and M. J. Cervantes. "Sensitivity analysis of a swirling flow to the GEKO model." IOP Conference Series: Earth and Environmental Science 1079, no. 1 (2022): 012030. http://dx.doi.org/10.1088/1755-1315/1079/1/012030.

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Abstract Accurate numerical models for hydraulic turbine applications are highly coveted. They must be able to correctly capture the swirling flow found at off-design operating conditions in the turbine draft tube. The GEKO model is a relatively fast and flexible eddy viscosity turbulence model with adjustable coefficients to tune the model to different flow scenarios. In this study, the GEKO model is tested on a swirling flow inside a diffusor similar to the flow conditions found at part-load operation of a propeller turbine. The diffusor investigated corresponds to the Porjus U9 draft tube c

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12

Guo, Xiang-Gui, Qiang Gao, and Zhe Xu. "Synthesis of low-coefficient sensitivity controllers with respect to multiplicative controller coefficient variations." IET Control Theory & Applications 9, no. 1 (2015): 120–28. http://dx.doi.org/10.1049/iet-cta.2014.0272.

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13

Zhao, Jian, and Jian Guo. "Research on the impact of hydrodynamic parameter design deviation on the motion performance of fully actuated AUV." Journal of Physics: Conference Series 2865, no. 1 (2024): 012054. http://dx.doi.org/10.1088/1742-6596/2865/1/012054.

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Abstract This study, based on the Simulink simulation platform, investigates the influence of hydrodynamic parameters on the navigation speed of fully actuated Autonomous Underwater Vehicles (AUVs) and conducts a sensitivity analysis of AUV motion performance to different design deviations in hydrodynamic parameters. The results show that the velocity of underwater motion in each direction exponentially decreases as the corresponding viscous drag coefficient increases while being less influenced by viscous drag coefficients in other directions. Additionally, the sensitivity of the viscous drag

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14

Tigan, Stefan, and I. M. Stancu-Minasian. "On Rohn's relative sensitivity coefficient of the optimal value for a linear-fractional program." Mathematica Bohemica 125, no. 2 (2000): 227–34. http://dx.doi.org/10.21136/mb.2000.125953.

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15

Lecroart, Pascal, Sabine Schmidt, Pierre Anschutz, and Jean-Marie Jouanneau. "Modeling sensitivity of biodiffusion coefficient to seasonal bioturbation." Journal of Marine Research 65, no. 3 (2007): 417–40. http://dx.doi.org/10.1357/002224007781567630.

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16

Li, J. F., A. S. Bhalla, and L. E. Cross. "Temperature sensitivity of the reflectance coefficient of SbSI." Ferroelectrics Letters Section 12, no. 1 (1990): 1–7. http://dx.doi.org/10.1080/07315179008200839.

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17

Cheikh, Malika, and Mohamed Ibazizen. "Sensitivity Coefficient in Principal Component Analysis: Robust Case." Communications in Statistics - Simulation and Computation 37, no. 8 (2008): 1622–30. http://dx.doi.org/10.1080/03610910802082467.

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18

MATSUMOTO, Kazuhisa, Toshikazu TAKEDA, and Tomoaki MASUDA. "Approximate Calculation Method for Second Order Sensitivity Coefficient." Journal of Nuclear Science and Technology 31, no. 11 (1994): 1151–59. http://dx.doi.org/10.1080/18811248.1994.9735272.

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19

Wang, Kaiwen, Xiaomang Liu, Wei Tian, et al. "Pan coefficient sensitivity to environment variables across China." Journal of Hydrology 572 (May 2019): 582–91. http://dx.doi.org/10.1016/j.jhydrol.2019.03.039.

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20

Ding, Mingliang, Shihong Yue, Jia Li, Yaru Wang, and Huaxiang Wang. "Second-order sensitivity coefficient based electrical tomography imaging." Chemical Engineering Science 199 (May 2019): 40–49. http://dx.doi.org/10.1016/j.ces.2019.01.020.

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21

Mao, Xun, Zidan Ye, Kai Lyu, et al. "A Comprehensive Robustness Analysis of Grid-Forming Virtual Synchronous Machine Systems for the Evaluation of Frequency Performance." Electronics 14, no. 8 (2025): 1516. https://doi.org/10.3390/electronics14081516.

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This research proposes a robustness analysis model for the frequency performance of grid-forming converter systems (GFMCS). Based on the derived sensitivity and complementary sensitivity functions, a system robustness identification framework is established. This framework includes two key frequency performance indices: sensitivity and robust stability. Sensitivity analysis is used to describe the system’s sensitivity to external disturbances. In addition, the judgment criterion is proposed to quantitatively and intuitively identify the robustness of the GFMCS. Furthermore, the influence mecha

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22

Liao, Xianhui, Chunhua Wei, Chenglin Zuo, et al. "Pressure Sensitivity Prediction and Pressure Measurement of Fast Response Pressure-Sensitive Paint Based on Artificial Neural Network." Applied Sciences 13, no. 6 (2023): 3504. http://dx.doi.org/10.3390/app13063504.

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The characterization of pressure-sensitive paint (PSP) is affected by many physical and chemical factors, making it is difficult to analyze the relationship between characterization and influencing factors. An artificial neural network (ANN)-based method for predicting pressure sensitivity using paint thickness and roughness was proposed in this paper. The mean absolute percentage error (MAPE) for predicting pressure sensitivity is 6.5088%. The difference of paint thickness and roughness between sample and model surface may be a source of experimental error in PSP pressure measurement tests. T

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23

Vlasova, Ksenia, Alexandre Makarov, and Nikolai Andreev. "Absorption Measurement in Ultrapure Crystalline Quartz with the Eliminated Influence of Ambient Air Absorption in the Time-Resolved Photothermal Common-Path Interferometry Scheme." Applied Sciences 14, no. 20 (2024): 9474. http://dx.doi.org/10.3390/app14209474.

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We demonstrate measurements of the absorption coefficient α ≈ 2.5 × 10−7 cm−1 in synthetic crystalline quartz at a wavelength of 1071 nm with a signal-to-noise ratio of 10/1 using the Time-resolved photothermal common-path interferometry (TPCI) scheme. It utilized cells filled with flowing argon and eliminated the influence of ambient air absorption. The scheme elements limiting the sensitivity of measurements at the level of ≈7.8 × 10−8 cm−1 were revealed. When these elements are replaced by better ones in terms of their thermal influence, the sensitivity of absorption coefficient measurement

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24

Tsutsui, Kazuo, Yusuke Kobayashi, Kuniyuki Kakushima, Parhat Ahmet, V. Ramgopal Rao, and Hiroshi Iwai. "Analysis of Threshold Voltage Variations in Fin Field Effect Transistors." Key Engineering Materials 470 (February 2011): 194–200. http://dx.doi.org/10.4028/www.scientific.net/kem.470.194.

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To conduct analyses of variability of threshold voltage (Vth) in FinFETs whose structures are based on the ITRS, sensitivity coefficients of variations of Vth caused by the fluctuation of principal device parameters were derived by device simulation. The sensitivity coefficient correlated with each device parameter was separated into two factors: one due to an intrinsic mechanism (1D factor) and another due to short-channel effects (2D factor). The 1D and 2D factors were found to cancel each other out in some cases, thereby reducing the sensitivity coefficient. Based on these results, FinFETs

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25

HE, Jiahuan, Dong LEI, Yue ZHANG, Xin GAO, and Xiaoyu WANG. "Sensitivity analysis of seepage field in groundwater reservoir based on orthogonal test method." E3S Web of Conferences 194 (2020): 05019. http://dx.doi.org/10.1051/e3sconf/202019405019.

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Based on the ADINA-T finite element software, the effects of different underground dam depths, widths and permeability coefficients on the seepage field in the underground reservoir were studied. Based on the sensitivity analysis and calculation of the three parameters of the underground dam based on the orthogonal experiment method, the depth and permeability coefficient of the underground dam have a significant effect on the sensitivity of the groundwater level drop height in front of the dam, the width and the permeability coefficient have a significant effect on the maximum flow velocity,

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26

Park, Ho Jin, and Jeong Woo Park. "Similarity Coefficient Generation Using Adjoint-Based Sensitivity and Uncertainty Method and Stochastic Sampling Method." Energies 17, no. 4 (2024): 827. http://dx.doi.org/10.3390/en17040827.

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In this study, a similarity coefficient generation code system was established using the Monte Carlo Code for Advanced Reactor Design (McCARD) transport code and the MIG multi-correlated input sampling code. We considered the adjoint-based sensitivity and uncertainty (S/U) and stochastic sampling (S.S.) approaches to the generation of the ck similarity coefficient. To examine the code system, the ck similarity coefficients of 23 relevant critical experiments and the System-Integrated Modular Advanced Reactor (SMART) small modular reactor (SMR) target system were generated using ENDF/B-VII.1 co

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27

SUGINUMA, Shigemi, Masahiro HIRATA, and Tokihiko KOBATA. "Numerical Simulation of Sensitivity Coefficient of Bayard-Alpert Gauges." Journal of the Vacuum Society of Japan 56, no. 9 (2013): 386–88. http://dx.doi.org/10.3131/jvsj2.56.386.

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28

SUGINUMA, Shigemi, Masahiro HIRATA, and Tokihiko KOBATA. "Simulation of Relative Sensitivity Coefficient of Bayard-Alpert Gauge." Journal of the Vacuum Society of Japan 59, no. 6 (2016): 156–59. http://dx.doi.org/10.3131/jvsj2.59.156.

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29

Wang, Quan, Jin Zhang, Ran Hu, and Guo Qiang Sun. "Transistor Compensation Technology of Pressure Sensor Sensitivity Temperature Coefficient." Applied Mechanics and Materials 43 (December 2010): 371–75. http://dx.doi.org/10.4028/www.scientific.net/amm.43.371.

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This paper presents the principles of the transistor compensation technology of temperature coefficient of sensitivity (TCS) of pressure sensor. A quantitative compensation formula is demonstrated in mathematics. By experiments, the absolute value of the compensated TCS is easy to be 10×10－6/°C～100 ×10－6/°C with individual adjustment and calibration of each device’s temperature compensation. The feasibility and practicability of this technology are tested. The disadvantages are discussed after the research of the experimental data, while the improvement methods are also given in the designing

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30

Gao, Y. Q., and W. Wang. "A theory of the strain sensitivity coefficient of resistance." Materials Science and Engineering 92 (August 1987): 153–58. http://dx.doi.org/10.1016/0025-5416(87)90165-0.

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31

Barman, S., and RJ Tersine. "Sensitivity of cost coefficient errors in aggregate production planning." Omega 19, no. 1 (1991): 31–36. http://dx.doi.org/10.1016/0305-0483(91)90031-n.

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32

Gordon, Gilbert, Renee D. Gauw, Yuko Miyahara, Bryan Walters, and Bernard Bubnis. "Using indigo absorbance to calculate the indigo sensitivity coefficient." Journal - American Water Works Association 92, no. 12 (2000): 96–100. http://dx.doi.org/10.1002/j.1551-8833.2000.tb09074.x.

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33

Wang, Zhen, Fang Liu, Lian Qing Yu, and Shuang Hong Chen. "Structural Damage Detection Using Sensitivity-Enhanced Autoregressive Coefficients." International Journal of Structural Stability and Dynamics 16, no. 03 (2016): 1550001. http://dx.doi.org/10.1142/s0219455415500017.

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This paper presents an innovative technique for structural damage detection based on time series analysis with feedback controllers incorporated into the structure. The sensitivity of autoregressive (AR) coefficients to element stiffness is first derived, and it is proposed that the sensitivity of the AR coefficients can be enhanced by intentionally assigning the poles of the detection system. Finally, an [Formula: see text] control chart is constructed based on the sensitivity-enhanced AR coefficient. Identification of the occurrence of damage is achieved by monitoring statistically significa

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34

Mehra, Meenakshi, Sunita Yadav, and Poonam Redhu. "Psychological Driver Sensitivity in Lattice Hydrodynamic Traffic Model under Passing Behaviour." Indian Journal Of Science And Technology 17, no. 26 (2024): 2708–18. http://dx.doi.org/10.17485/ijst/v17i26.208.

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Objectives: In order to control and manage the traffic flow in contexts of congestion, real-time highway traffic flow models play a significant role in intelligent transportation system. The objective of our investigation is to examine the effect of psychological driver sensitivity (PDS) when coupled with passing behaviour. Methods: In this study, we developed the lattice hydrodynamic (LH) model which is a good and simple representation for solving traffic problems. Its variants have been valuable tools in traffic research and also contributed to our understanding of traffic phenomena and the

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35

Gojayev, Eldar Mehraly, and Gulshan Nuraddin Mammadova. "Tensoresistive properties of single crystals TlIn1−xGaxSe2." International Journal of Modern Physics B 35, no. 19 (2021): 2150201. http://dx.doi.org/10.1142/s0217979221502015.

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In this work, single crystals of TlIn[Formula: see text]Ga[Formula: see text]Se2 solid solutions were grown by the methods of zone recrystallization, technologies for the manufacture of strain gauges based on them were developed and the tensoresistive properties of these phases were studied, the coefficient of strain sensitivity was determined by the static method depending on the temperature, the magnitude of mechanical deformation and optical illumination. Revealing that the single crystals have a high strain sensitivity coefficient, by the variation of the composition, quantity of mechanica

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36

Zhang, Shujun, Luo Zhong, and Zhijun Xu. "Reliability of Foundation Pile Based on Settlement and a Parameter Sensitivity Analysis." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/1659549.

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Based on the uncertainty analysis to calculation model of settlement, the formula of reliability index of foundation pile is derived. Based on this formula, the influence of coefficient of variation of the calculated settlement at pile head, coefficient of variation of the permissible limit of the settlement, coefficient of variation of the measured settlement, safety coefficient, and the mean value of calculation model coefficient on reliability is analyzed. The results indicate that(1)high reliability index can be obtained by increasing safety coefficient;(2)reliability index will be reduced

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37

Li, Xiaoshan, Kaifang Gu, Wenxiu Xu, et al. "Effects of Pore Water Content on Stress Sensitivity of Tight Sandstone Oil Reservoirs: A Study of the Mahu Block (Xinjiang Province, China)." Processes 11, no. 11 (2023): 3153. http://dx.doi.org/10.3390/pr11113153.

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Traditional stress sensitivity experiments are typically conducted under dry conditions, without considering the reservoir’s water content. In reality, the presence of water within pores significantly influences the extent of stress sensitivity damage in tight sandstone oil formations, subsequently affecting the determination of stress sensitivity coefficients during experimentation. By investigating sandstone samples from wells in the Mahu Block of China’s Xinjiang province, we observed that increasing water saturation reduces the stress sensitivity of tight sandstone. By conducting stress se

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38

Li, Dongli, Miaojun Sun, Echuan Yan, and Tao Yang. "The Effects of Seismic Coefficient Uncertainty on Pseudo-Static Slope Stability: A Probabilistic Sensitivity Analysis." Sustainability 13, no. 15 (2021): 8647. http://dx.doi.org/10.3390/su13158647.

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The method of pseudo-static analysis has been widely used to perform seismic slope stability, in which a seismic coefficient is used to represent the earthquake shaking effect. However, it is important but difficult to select the magnitude of seismic coefficients, which are inevitably subjected to different levels of uncertainties. This paper aimed to study the influences of seismic coefficient uncertainties on pseudo-static slope stability from the perspective of probabilistic sensitivity analysis. The deterministic critical slope height was estimated by the method of upper-bound limit analys

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39

Aschonitis, V. G., M. Gaglio, G. Castaldelli, and E. A. Fano. "Criticism on elasticity-sensitivity coefficient for assessing the robustness and sensitivity of ecosystem services values." Ecosystem Services 20 (August 2016): 66–68. http://dx.doi.org/10.1016/j.ecoser.2016.07.004.

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40

Kang, K., O. V. Zerkal, J. Liu, S. Huang, and D. Tao. "Comparison of Russian, Chinese and European seismic design on pseudo-static seismic coefficient in slope analysis." Journal of Civil Engineering and Construction 7, no. 2 (2018): 57. http://dx.doi.org/10.32732/jcec.2018.7.2.57.

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Most design codes and specifications recommend a simple pseudo-static approach for the analysis of slope stability under seismic conditions. The codes in different countries appoint different pseudo-static seismic coefficient. The present work list different seismic coefficients in Russian, Chinese and European codes. A sensitivity analysis of a case slope was carried out using GeoStudio, then determined that the stability of the slope is more sensitive to material cohesion and seismic coefficient than material density and friction angle. It’s shown that the chosen of the seismic coefficient h

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41

Abdalla, MEIRI, Elwaleed,, and Aladawasari, Hafia, SH. "Psychometric Properties of the Scale for Adolescent Physical Deformities." Journal of Ecohumanism 3, no. 6 (2024): 1181–92. http://dx.doi.org/10.62754/joe.v3i6.4093.

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They aimed to educate current students about the psychometric properties of the adolescent physical deformities scale. The study sample consisted of (293) adolescents. To achieve the study’s objectives, the scale of external appearance anxiety was used Park (2007)and an external rejection sensitivity Scale byRoberts et al. (2018). The scale phrases were translated into Arabic to meet the study objectives.The study findings revealed a strong and statistically significant correlation between the sections of appearance anxiety and sensitivity to external appearance scales, which measure physical

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42

Durner, Jörg, Andreas Thiel, and Peter Böger. "Phenolic Herbicides: Correlation between Lipophilicity and Increased Inhibitory Sensitivity of Thylakoids from Higher Plant Mutants." Zeitschrift für Naturforschung C 41, no. 9-10 (1986): 881–84. http://dx.doi.org/10.1515/znc-1986-9-1014.

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Abstract Pheonlic herbicides, being quite hydrophilic as compared to classical photosystem-II inhibitors do not exhibit a correlation between inhibitory activity and partition coefficient. Sensitivity against phenolic herbicides, however, as observed with atrazine-resistant thylakoids from higher plants mutants (Brassica napus) is increased by higher partition coefficients.

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43

Matovic, Ana, and Marija Matovic. "Sensitivity optimization of direct form realization of active-RC all-pole filters." Facta universitatis - series: Electronics and Energetics 16, no. 2 (2003): 259–71. http://dx.doi.org/10.2298/fuee0302259m.

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In this paper, a procedure for direct form realization of Active-RC all-pole filters is presented. The filters are based on the resistance-capacitance ladder structure combined with the single operational amplifier and multiple feedback for complex pole realization. Recursive formulas have been developed that determine transfer function coefficients and derivation of transfer function coefficient with respect to filter components. These design equations are developed without knowing filter coefficients in terms of filter components in closed form, and they are necessary and sufficient for the

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44

Bahrami Balfeh Teimouri, Atanaz, and Ahad Bagherzadeh Khalkhali. "Stability Control of Narmab Dam and Sensitivity Analysis of Reliability Coefficients." Civil Engineering Journal 4, no. 9 (2018): 2197. http://dx.doi.org/10.28991/cej-03091150.

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Static and quasi-static stability analysis of embankment dams is of vital importance in different stages of dam’s design, construction and operation. The stability can be studied using different techniques which are generally analyzed through Limit Equilibrium Method. Base on this main method, the critical slip surface is selected and the shear strength required to counter the slip at the selected surface is obtained and compared with shear strength of the soil at that surface in order to obtain confidence coefficient. In the present research, the Geo-studio Slope/w software that is a geotechn

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45

Yang, Zhou, Yimin Zhang, Xufang Zhang, and Xianzhen Huang. "Reliability sensitivity-based correlation coefficient calculation in structural reliability analysis." Chinese Journal of Mechanical Engineering 25, no. 3 (2012): 608–14. http://dx.doi.org/10.3901/cjme.2012.03.608.

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46

Lee, Jung Youn. "Crack Detection in Beam using Sensitivity Coefficient of Modal Data." Journal of manufacturing engineering & technology 22, no. 6 (2013): 950–56. http://dx.doi.org/10.7735/ksmte.2013.22.6.950.

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47

Law, S. S., X. Y. Li, and Z. R. Lu. "Structural Damage Detection from Wavelet Coefficient Sensitivity with Model Errors." Journal of Engineering Mechanics 132, no. 10 (2006): 1077–87. http://dx.doi.org/10.1061/(asce)0733-9399(2006)132:10(1077).

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48

Yuan, Libo, and Limin Zhou. "Sensitivity coefficient evaluation of an embedded fiber-optic strain sensor." Sensors and Actuators A: Physical 69, no. 1 (1998): 5–11. http://dx.doi.org/10.1016/s0924-4247(97)01742-1.

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49

Jung, Johannes, Niklas von der Assen, and André Bardow. "Sensitivity coefficient-based uncertainty analysis for multi-functionality in LCA." International Journal of Life Cycle Assessment 19, no. 3 (2013): 661–76. http://dx.doi.org/10.1007/s11367-013-0655-4.

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50

ADACHI, Eiji, Yoshihiko NAKAMURA, Ryohji HETSUGI, and Ikuo OHNISHI. "Sensitivity Coefficient Identification by Trial Production and Multiobjective Satisfactory Design." Transactions of the Japan Society of Mechanical Engineers Series C 62, no. 598 (1996): 2511–15. http://dx.doi.org/10.1299/kikaic.62.2511.

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