Готові списки джерел за темами / Sensitivity to the method

Добірка наукової літератури з теми "Sensitivity to the method"

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

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Статті в журналах з теми "Sensitivity to the method"

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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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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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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Дисертації з теми "Sensitivity to the method"

1

Borggaard, Jeffrey T. "The sensitivity equation method for optimal design." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/38563.

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In this work, we introduce the Sensitivity Equation Method (SEM) as a method for approximately solving infinite dimensional optimal design problems. The SEM couples a trust-region/quasi-Newton optimization algorithm with gradient information provided by apprOXimately solving the sensitivity equation for (design) sensitivities. The sensitivity equation is (in the problems considered here) a partial differential equation (POE) which describes the influence of a design parameter on the state of the system. It is shown that obtaining design sensitivities from the sensitivity equation has advantages over finite difference and semi-analytical methods in that there is no need to remesh or compute mesh sensitivities (even if the domain is parameter dependent), the sensitivity equation is a linear POE for the sensitivities and can be approximated in an efficient manner using the same approximation scheme used to approximate the states. The applicability of the SEM to shape optimization problems, where the state is described by the Euler equations, is studied in detail. In particular, we prove convergence of the method for a one dimensional test problem. These results are used to speculate on the applicability of the method for more complex problems. Finally. we solve a two dimensional forebody simulator design problem (for use in wind tunnel experiments) using the SEM, which is shown to be a very efficient method for this problem.
Ph. D.
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2

Liu, Shaobin. "Continuum Sensitivity Method for Nonlinear Dynamic Aeroelasticity." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/23282.

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In this dissertation, a continuum sensitivity method is developed for efficient and accurate computation of design derivatives for nonlinear aeroelastic structures subject to transient
aerodynamic loads. The continuum sensitivity equations (CSE) are a set of linear partial
differential equations (PDEs) obtained by differentiating the original governing equations of
the physical system. The linear CSEs may be solved by using the same numerical method
used for the original analysis problem. The material (total) derivative, the local (partial)
derivative, and their relationship is introduced for shape sensitivity analysis. The CSEs are
often posed in terms of local derivatives (local form) for fluid applications and in terms of total
derivatives (total form) for structural applications. The local form CSE avoids computing
mesh sensitivity throughout the domain, as required by discrete analytic sensitivity methods.
The application of local form CSEs to built-up structures is investigated. The difficulty
of implementing local form CSEs for built-up structures due to the discontinuity of local
sensitivity variables is pointed out and a special treatment is introduced. The application
of the local form and the total form CSE methods to aeroelastic problems are compared.
Their advantages and disadvantages are discussed, based on their derivations, efficiency,
and accuracy. Under certain conditions, the total form continuum method is shown to be
equivalent to the analytic discrete method, after discretization, for systems governed by a
general second-order PDE. The advantage of the continuum sensitivity method is that less
information of the source code of the analysis solver is required. Verification examples are
solved for shape sensitivity of elastic, fluid and aeroelastic problems.
Ph. D.
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3

Witzgall, Zachary F. "Parametric sensitivity analysis of microscrews." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4892.

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Анотація:
Thesis (M.S.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains xi, 73 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 52-53).
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4

Baidar, Binaya. "A sensitivity analysis of the Winter-Kennedy method." Licentiate thesis, Luleå tekniska universitet, Strömningslära och experimentell mekanik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70157.

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Hydropower is among the lowest-cost electrical energy sources due to its long lifespan and lower operation and maintenance cost. The hydro-mechanical components of hydropower plants generally last about four to five decades, then they are either overhauled or replaced. The major upgrades and refurbishments of the hydropower plants that are ongoing have also been motivated by the introduction of new rules and regulations, safety or environmentally friendly and improved turbine designs. Whatever are the drivers, the refurbishments are usually expected to increase efficiency, flexibility and more power from the plant. Efficiency measurement is usually performed after refurbishments. While it is relatively straightforward to measure efficiency in high head machines due to the availability of several code-accepted methods, similar measurements in low head plants remain a challenge. The main difficulty lies in the discharge/flow rate measurement. The reason is due to the continuously varying cross-section and short intake, as a result, the flow profile or parallel streamlines cannot be established. Among several relative methods, the Winter-Kennedy (WK) method is widely used to determine the step-up efficiency before and after refurbishment. The WK method is an index testing approach allowing to determine the on-cam relationship between blade and guide vane angles for Kaplan turbine as well. The method utilizes features of the flow physics in a curvilinear motion. A pair of pressure taps is placed at an inner and outer section of the spiral case (SC). The method relates discharge (Q) as Q=K(dP)^n, where K is usually called as the WK constant and n is the exponent whose value varies from 0.48 to 0.52. dP is the differential pressure from the pair of pressure taps placed on the SC.   Although the method has very high repeatability, some discrepancies were noticed in previous studies. The reasons are often attributed to the change in local flow conditions due to the change in inflow conditions, corrosions, or change in geometry. Paper A is a review of the WK method, which includes the possible factors that can influence the WK method. Considering the possible factors, the aim of this thesis is to study the change in flow behavior and its impact on the coefficients. Therefore, a numerical model of a Kaplan turbine has been developed. The turbine model of Hölleforsen hydropower plant in Sweden was used in the study. The plant is considered as a low head with 27-m head and a discharge of 230 m3/s. The 1:11 scale model of the prototype is used as the numerical model in this study, which has 0.5 m runner diameter, 4.5 m head, 0.522 m3/s discharge and 595 rpm at its best efficiency point. A sensitivity analysis of the WK method has been performed with the help of CFD simulations. The numerical results are compared with the previously conducted experiment on the model. The study considers four different WK configurations at seven locations along the azimuthal direction. The simulations have been performed with different inlet boundary conditions (Paper B and Paper C) and different runner blade angles (Paper C). The CFD results show that the WK coefficients are sensitive to inlet conditions. The study also concludes that to limit the impact of a change in inflow conditions, runner blade angle on the coefficients, the more suitable WK locations are at the beginning of the SC with the inner pressure tap placed between stay vanes on the top wall.
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5

Maree, A. J. "The inverse finite element method : sensitivity to measurement setup /." Link to the online version, 2005. http://hdl.handle.net/10019/1088.

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Maree, Abraham Jacobus. "The Inverse Finite Element Method: Sensitivity to Measurement Setup." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/2640.

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Thesis (MScEng (Civil Engineering))--University of Stellenbosch, 2005.
In the inverse finite element method (iFEM), given a finite element model of a structure and imperfect displacement measurements, the external loads acting on the structure can be assessed. The basic idea behind iFEM is the optimization of a quadratic cost function of the difference between the measured and estimated values, with a high cost corresponding to a high precision of the measurements. In the present research it is firstly shown how the iFEM theory was broadened to accommodate for strain measurements through the construction of cost matrices to express the cost associated with the estimation of the response. The main focus of the research falls however on the influence that the measurement set-up has on the quality of the iFEM estimates. Only a limited number of measurements may be available, therefore it is essential to plan the measurement set-up carefully to obtain the highest quality of estimates. The number of measurements and the precision required to obtain a realistic result from an iFEM analysis is also a factor which plays a role and varies for different types of measurements. A numerical method for systematic sensitivity study of the measurements set-up without involving the actual measurement data, is presented. Two examples consisting of structures with both displacement measurements and strain measurements being taken, are presented. It illustrates how the sensitivity study method can be used to plan a more effective measurement set-up.
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7

Sorensen, Thomas M. (Thomas Mead). "Aeroelastic analysis and sensitivity calculations using the Newton method." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/46446.

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8

Liang, Changnian. "A new surface resistance measurement method with ultrahigh sensitivity." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/40299.

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A superconducting niobium triaxial cavity has been designed and fabricated to study residual surface resistance of planar superconducting materials. Unlike many other structures where the test samples are placed in strong magnetic field positions, the edge of a 25.4 mm or larger diameter sample in the triaxial cavity is located outside the strong field region. Therefore, the edge effects and possible losses between the thin film and the substrate have been minimized in this design, ensuring that the induced RF losses are intrinsic to the test material. The fundamental resonant frequency of the cavity is 1.5 GHz, the same as the working frequency of CEBAF cavities. The cavity has a compact size compared to its TE₀₁₁ counterpart, which makes it more sensitive to the sample's loss.
Ph. D.
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9

Bae, Sangjune. "Variable screening method using statistical sensitivity analysis in RBDO." Thesis, University of Iowa, 2012. https://ir.uiowa.edu/etd/2817.

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A variable screening method is introduced to reduce the computational cost caused by the curse of dimension of high dimensional problem in RBDO. The screening method considers the output variance of the constraint functions and uses test-of-hypothesis to filter necessary variables. Also, the method is applicable to implicit functions as well as explicit functions. Suitable number of samples to obtain consistent test result is calculated. 3 examples are demonstrated with detailed variable screening procedure and RBDO result.
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Corti, Fabrizio. "Viability of the overset method for geometrical sensitivity studies." Thesis, KTH, Flygdynamik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223329.

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In the following thesis the overset method, also called chimera or overlapping meshes, is discussed and applied toa formula race car, in order to calculate its aerodynamic map. The proposed method would allow reducing set-uptime through automation and avoided re-meshing process. a A theoretical background is presented before thediscussion of the way this kind of approach has been set-up in Star-CCM+. Results are obtained and discussedfor various car positions. Further investigations are finally suggested to further assess the viability of the method.
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Книги з теми "Sensitivity to the method"

1

Lewis, Charles. The countback method for analyzing sensitivity data. Ann Arbor, Mich: University Microfilms, 1985.

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2

K, Choi Kyung, and Komkov Vadim, eds. Design sensitivity analysis of structural systems. Orlando: Academic Press, 1986.

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3

Haug, Edward J. Design sensitivity analysis of structural systems. London: Academic Press, 1986.

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4

Stanley, Lisa G. Design sensitivity analysis: Computational issues of sensitivity equation methods. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2003.

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5

Monte Carlo optimization, simulation, and sensitivity of queueing networks. New York: Wiley, 1986.

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6

Zhao, Zhong. Sensitivity of propensity score methods to the specifications. Bonn, Germany: IZA, 2005.

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7

Rubinstein, Reuven Y. Monte Carlo optimization, simulation, and sensitivity of queuing networks. Malabar, Fla: Krieger Pub. Co., 1992.

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8

Zhao, Z. Shape design sensitivity analysis and optimization using the boundary element method. Berlin: Springer-Verlag, 1991.

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9

Zhao, Zhiye. Shape Design Sensitivity Analysis and Optimization Using the Boundary Element Method. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84382-2.

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10

Post, Daniel. High sensitivity moiré: Experimental analysis for mechanics and materials. New York: Springer-Verlag, 1994.

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Частини книг з теми "Sensitivity to the method"

1

Borgonovo, Emanuele. "Variance-Based Methods." In Sensitivity Analysis, 139–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52259-3_15.

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2

Borgonovo, Emanuele. "Differentiation-Based Methods." In Sensitivity Analysis, 35–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52259-3_5.

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3

Lakshmivarahan, Sivaramakrishnan, John M. Lewis, and Rafal Jabrzemski. "Forward Sensitivity Method: Scalar Case." In Springer Atmospheric Sciences, 19–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39997-3_2.

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Lakshmivarahan, Sivaramakrishnan, John M. Lewis, and Rafal Jabrzemski. "Forward Sensitivity Method: General Case." In Springer Atmospheric Sciences, 93–106. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39997-3_4.

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Munda, Giuseppe. "Sensitivity Analysis in the NAIADE Method." In Multicriteria Evaluation in a Fuzzy Environment, 169–92. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-642-49997-5_9.

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Park, Il Han. "Level Set Method and Continuum Sensitivity." In Design Sensitivity Analysis and Optimization of Electromagnetic Systems, 255–63. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0230-5_7.

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Gan, Yanjun, and Qingyun Duan. "Sensitivity Analysis Methods." In Handbook of Hydrometeorological Ensemble Forecasting, 1–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-40457-3_65-1.

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Gan, Yanjun, and Qingyun Duan. "Sensitivity Analysis Methods." In Handbook of Hydrometeorological Ensemble Forecasting, 637–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-642-39925-1_65.

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Albersmeyer, Jan, and Hans Georg Bock. "Sensitivity Generation in an Adaptive BDF-Method." In Modeling, Simulation and Optimization of Complex Processes, 15–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79409-7_2.

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Kłos, Andrzej. "Method of Current and Voltage Sensitivity Analysis." In Mathematical Models of Electrical Network Systems, 73–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52178-7_12.

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Тези доповідей конференцій з теми "Sensitivity to the method"

1

Pelletier, Dominique, Eric Turgeon, Stephane Etienne, and Jeffrey Borggaard. "Reliable Sensitivity and Uncertainty Analysis Via and Adaptive Sensitivity Equation Method." In 3rd Theoretical Fluid Mechanics Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-2758.

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2

Nakashima, Toshiharu, Steve D. Slonaker, Takehito Kudo, and Shigeru Hirukawa. "Zernike sensitivity method for CD distribution." In Microlithography 2003, edited by Anthony Yen. SPIE, 2003. http://dx.doi.org/10.1117/12.485454.

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Sun, Yu-Xue, Chang Xiao, and Jing-Yuan Zhao. "New method for predicating reservoir sensitivity rapidly." In 2011 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2011. http://dx.doi.org/10.1109/icmlc.2011.6016859.

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Liu, Qiang, Baiwei Feng, Zuyuan Liu, Zhailiu Hao, and Heng Zhang. "The improvement of sobol' sensitivity analysis method." In 2015 First International Conference on Reliability Systems Engineering (ICRSE). IEEE, 2015. http://dx.doi.org/10.1109/icrse.2015.7366460.

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Zhang, Yimin. "Perturbation method for reliability-based sensitivity analysis." In ICMIT 2009: Mechatronics and Information Technology, edited by Jeha Ryu, Kil To Chong, Ryojun Ikeura, and Qingkai Han. SPIE, 2009. http://dx.doi.org/10.1117/12.858315.

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6

Gao, Yang, Dapeng Zhang, Chao Han, and Shu-Wen Wen. "Improved sensitivity prediction method for FBAR transducer." In Emerging Technologies, edited by Richard C. Hollins, Gerald S. Buller, and Robert A. Lamb. SPIE, 2018. http://dx.doi.org/10.1117/12.2325146.

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7

Tehrani, Maryam Ghandchi, John E. Mottershead, and Yitshak M. Ram. "Eigenvalue Sensitivity Assignment by the Receptance Method." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59357.

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In this paper the problem of eigenvalue assignment in active vibration control by the receptance method using single-input state feedback is considered. The poles of the system and their sensitivities are assigned using measured vibration data from the open-loop system in the form of receptances, there being no need to evaluate or to know the system matrices M, C, K. The perturbation method is applied to a characteristic equation resulting in expressions for the derivatives of the pole eigenvalues with respect to the control gains. These sensitivities are expressed as a linear combination of the feedback control gains. The control effort necessary to assign the poles may be reduced by increasing the sensitivity of the poles. In addition, the uncontrolled poles in the system may be rendered insensitive for stability robustness. It is demonstrated that chosen eigenvalues may be rendered insensitive to all the control gain terms by choice of the distribution vector b. Numerical examples are provided to demonstrate how the technique works.
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Lee, J. H., E. P. Hong, and W. Lee. "Sensitivity improvement method of CV control chart." In International Conference on Advanced Control, Automation and Robotoics. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/acar140011.

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Shimizu, Yasuo, Tadashi Yamaguchi, Kousuke Suzuki, Yuji Shiba, Tomoyuki Matsuyama, and Shigeru Hirukawa. "Aberration optimizing system using Zernike sensitivity method." In Microlithography 2003, edited by Anthony Yen. SPIE, 2003. http://dx.doi.org/10.1117/12.485459.

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Akgun, Mehmet, Raphael Haftka, and John Garcelon. "Sensitivity of stress constraints using the adjoint method." In 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-1752.

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Звіти організацій з теми "Sensitivity to the method"

1

Harder, Matthew Steven. Sensitivity Analysis using Continuous Sensitivity Equation Method (CSE). Office of Scientific and Technical Information (OSTI), July 2018. http://dx.doi.org/10.2172/1463456.

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2

Fishman, George S. Sensitivity Analysis Using the Monte Carlo Acceptance-Rejection Method. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada201261.

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3

Collins, Eric S., Jennifer L. Gottfried, and Eric C. Johnson. New Method for Quantifying Ignition Sensitivity from Electrostatic Discharge. Fort Belvoir, VA: Defense Technical Information Center, May 2015. http://dx.doi.org/10.21236/ada621963.

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4

Helton, Jon Craig, and Curtis B. Storlie. Multiple predictor smoothing methods for sensitivity analysis. Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/893126.

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5

Helton, Jon Craig, and Curtis B. Storlie. Multiple predictor smoothing methods for sensitivity analysis. Office of Scientific and Technical Information (OSTI), September 2006. http://dx.doi.org/10.2172/897609.

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6

Rovinelli, A., M. C. Messner, Guosheng Ye, and T. L. Sham. Initial study of notch sensitivity of Grade 91 using mechanisms motivated crystal plasticity finite element method. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1603666.

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7

HELTON, JON CRAIG, and FREDDIE J. DAVIS. Sampling-Based Methods for Uncertainty and Sensitivity Analysis. Office of Scientific and Technical Information (OSTI), July 2000. http://dx.doi.org/10.2172/760743.

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8

Millwater, Harry, Ronald Bagley, Jose Garza, D. Wagner, Andrew Bates, and Andy Voorhees. Efficient Sensitivity Methods for Probabilistic Lifing and Engine Prognostics. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada533813.

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9

Burns, John A. Sensitivity and Adjoint Methods for Design of Aerospace Systems. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada417179.

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10

Preston, Daniel N., Geoffrey W. Brown, Bryce C. Tappan, David M. Oschwald, Joseph R. Koby, and McKenna L. Schoonover. Drop weight impact measurements of HE sensitivity: modified detection methods. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1098313.

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