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Artykuły w czasopismach na temat "Sobol sensitivity method"

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Chen, Lixin, Zhongxiang Xu, Desuo Huang, and Zhining Chen. "An Improved Sobol Sensitivity Analysis Method." Journal of Physics: Conference Series 2747, no. 1 (2024): 012025. http://dx.doi.org/10.1088/1742-6596/2747/1/012025.

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Abstract The Sobol method is a variance-based global sensitivity analysis method that evaluates single-input and multiple-input interaction effects by calculating the contribution of a single input to the output variance and the contribution of multiple inputs to the output variance. The Sobol method requires each input to obey a uniform distribution of U [0,1], but it is difficult to meet the requirements in practice. Taking the sum function as an example, this paper analyzes the inapplicability of the existing Sobol method when the input does not obey the uniform distribution U [0,1]. To sol
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Alves Borges, Luiz Felipe, Fabio Freitas Ferreira, Fábio Gonçalves, Antônio Espósito Junior, Aline Fernanda Da Silva Oliveira, and Wagner Rambaldi Telles. "IPSAL: Implementation of the module to generate the Sobol sequence and indices." VETOR - Revista de Ciências Exatas e Engenharias 33, no. 2 (2023): 60–69. http://dx.doi.org/10.14295/vetor.v33i2.16439.

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Sensitivity and uncertainty analysis hold significant importance across a range of applications, spanning from industrial problems to climate change, financial risk assessment, as well as mathematical and computational models. These analyses involve identifying influential input parameters in models to comprehend their impact on the output. Sensitivity analysis can be performed locally, examining parameter effects at a fixed value, or globally, evaluating the model across a range of parameter values. The Sobol method stands as a robust approach for global sensitivity analysis, employing a Sobo
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Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences 17, no. 7 (2013): 2893–903. http://dx.doi.org/10.5194/hess-17-2893-2013.

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Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu
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Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences Discussions 10, no. 4 (2013): 4275–99. http://dx.doi.org/10.5194/hessd-10-4275-2013.

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Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu
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Pannier, Marie-Lise, Patrick Schalbart, and Bruno Peuportier. "Computationally efficient sensitivity analysis for building ecodesign with many-level categorical input factors." International Journal of Metrology and Quality Engineering 14 (2023): 15. http://dx.doi.org/10.1051/ijmqe/2023016.

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Dynamic building energy simulation and life cycle assessment (LCA) are useful ecodesign tools to mitigate the energy and environmental impacts of buildings. Various uncertain factors can affect the building energy and environmental modelling, including continuous and categorical factors (i.e., discrete factors without logical ranking). Sensitivity analysis (SA) is applied to identify the most influential factors on which additional research efforts are needed to increase the robustness of results. The Sobol method (Sobol) is the reference SA method, but it requires a significant amount of comp
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Wang, Qi, Haiyang Li, Lin Lu, Luyi Yang, and Shenquan Wang. "Global Sensitivity Analysis of Earth-Moon Transfer Orbit Parameters Based on Sobol Method." International Journal of Aerospace Engineering 2022 (May 29, 2022): 1–22. http://dx.doi.org/10.1155/2022/6587890.

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In the process of Earth-Moon transfer orbit, many parameters are involved and the degree of influence varies among the parameters. How to accurately distinguish the influence relationship between different parameters is of great significance to engineering missions. Based on Sobol sequence sampling method and Sobol global sensitivity analysis method, a calculation process of global sensitivity analysis is proposed in this paper for high-fidelity Earth-Moon transfer orbit. A numerical simulation method is used to verify that the Sobol sequence sampling method has better convergence and higher p
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Kalra, Tarandeep S., Alfredo Aretxabaleta, Pranay Seshadri, Neil K. Ganju, and Alexis Beudin. "Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method (ESQM v5.2)." Geoscientific Model Development 10, no. 12 (2017): 4511–23. http://dx.doi.org/10.5194/gmd-10-4511-2017.

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Abstract. Coastal hydrodynamics can be greatly affected by the presence of submerged aquatic vegetation. The effect of vegetation has been incorporated into the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST) modeling system. The vegetation implementation includes the plant-induced three-dimensional drag, in-canopy wave-induced streaming, and the production of turbulent kinetic energy by the presence of vegetation. In this study, we evaluate the sensitivity of the flow and wave dynamics to vegetation parameters using Sobol' indices and a least squares polynomial approach referred to
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Derakhshanfard, Rasoul, Ali Nourali, Moein Taheri, and Hamed Safikhani. "Performance analysis in square cyclones using Sobol statistical sensitivity analysis method." Mechanic of Advanced and Smart Materials 2, no. 4 (2023): 401–12. http://dx.doi.org/10.52547/masm.2.4.401.

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Guo, Jianbin, Shaohua Du, Yao Wang, and Shengkui Zeng. "Time-Dependent Global Sensitivity Analysis for Long-Term Degeneracy Model Using Polynomial Chaos." Advances in Mechanical Engineering 6 (January 1, 2014): 719825. http://dx.doi.org/10.1155/2014/719825.

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Global sensitivity is used to quantify the influence of uncertain model inputs on the output variability of static models in general. However, very few approaches can be applied for the sensitivity analysis of long-term degeneracy models, as far as time-dependent reliability is concerned. The reason is that the static sensitivity may not reflect the completed sensitivity during the entire life circle. This paper presents time-dependent global sensitivity analysis for long-term degeneracy models based on polynomial chaos expansion (PCE). Sobol’ indices are employed as the time-dependent global
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Sun, Xifu, Barry Croke, Stephen Roberts, and Anthony Jakeman. "Investigation of determinism-related issues in the Sobol′ low-discrepancy sequence for producing sound global sensitivity analysis indices." ANZIAM Journal 62 (December 7, 2021): C84—C97. http://dx.doi.org/10.21914/anziamj.v62.16094.

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A computationally efficient and robust sampling scheme can support a sensitivity analysis of models to discover their behaviour through Quasi Monte Carlo approximation. This is especially useful for complex models, as often occur in environmental domains when model runtime can be prohibitive. The Sobol' sequence is one of the most used quasi-random low-discrepancy sequences as it can explore the parameter space significantly more evenly than pseudo-random sequences. The built-in determinism of the Sobol' sequence assists in achieving this attractive property. However, the Sobol' sequence tends
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Rozprawy doktorskie na temat "Sobol sensitivity method"

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Masinde, Brian. "Birds' Flight Range. : Sensitivity Analysis." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166248.

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’Flight’ is a program that uses flight mechanics to estimate the flight range of birds. This program, used by ornithologists, is only available for Windows OS. It requires manual imputation of body measurements and constants (one observation at a time) and this is time-consuming. Therefore, the first task is to implement the methods in R, a programming language that runs on various platforms. The resulting package named flying, has three advantages; first, it can estimate flight range of multiple bird observations, second, it makes it easier to experiment with different settings (e.g. constant
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Alhossen, Iman. "Méthode d'analyse de sensibilité et propagation inverse d'incertitude appliquées sur les modèles mathématiques dans les applications d'ingénierie." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30314/document.

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Dans de nombreuses disciplines, les approches permettant d'étudier et de quantifier l'influence de données incertaines sont devenues une nécessité. Bien que la propagation directe d'incertitudes ait été largement étudiée, la propagation inverse d'incertitudes demeure un vaste sujet d'étude, sans méthode standardisée. Dans cette thèse, une nouvelle méthode de propagation inverse d'incertitude est présentée. Le but de cette méthode est de déterminer l'incertitude d'entrée à partir de données de sortie considérées comme incertaines. Parallèlement, les méthodes d'analyse de sensibilité sont égalem
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Heredia, Guzman Maria Belen. "Contributions to the calibration and global sensitivity analysis of snow avalanche numerical models." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALU028.

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Une avalanche de neige est un danger naturel défini comme une masse de neige en mouvement rapide. Depuis les années 30, scientifiques conçoivent des modèles d'avalanche de neige pour décrire ce phénomène. Cependant, ces modèles dépendent de certains paramètres d'entrée mal connus qui ne peuvent pas être mesurés. Pour mieux comprendre les paramètres d'entrée du modèle et les sorties du modèle, les objectifs de cette thèse sont (i) de proposer un cadre pour calibrer les paramètres d'entrée et (ii) de développer des méthodes pour classer les paramètres d'entrée en fonction de leur importance dans
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Gilquin, Laurent. "Échantillonnages Monte Carlo et quasi-Monte Carlo pour l'estimation des indices de Sobol' : application à un modèle transport-urbanisme." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAM042/document.

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Le développement et l'utilisation de modèles intégrés transport-urbanisme sont devenus une norme pour représenter les interactions entre l'usage des sols et le transport de biens et d'individus sur un territoire. Ces modèles sont souvent utilisés comme outils d'aide à la décision pour des politiques de planification urbaine.Les modèles transport-urbanisme, et plus généralement les modèles mathématiques, sont pour la majorité conçus à partir de codes numériques complexes. Ces codes impliquent très souvent des paramètres dont l'incertitude est peu connue et peut potentiellement avoir un impact i
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Sohier, Henri. "Modélisation, analyse et optimisation d’un largage de fusée spatiale depuis un porteur de type avion." Thesis, Toulouse, ISAE, 2014. http://www.theses.fr/2014ESAE0044/document.

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Un système de lancement aéroporté est constitué d'un porteur de type avion larguant un lanceur à une certaine altitude. De tels systèmes sont l'objet d'un intérêt croissant, notamment pour la mise à poste de petits satellites. Les travaux présentés dans cette thèse s'intègrent dans le programme Perseus du CNES qui a déjà donné lieu à la construction d'un modèle réduit appelé EOLE. Il s'agit d'étudier la phase de largage, particulièrement sensible.Les contraintes de similitude pouvant permettre l'étude du largage taille réelle avec EOLE sont d'abord identifiées. Les possibilités d'extrapolation
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Garcia, Hernandez Elizabeth Antonia. "Analyse de sensibilité globale appliquée à l'évaluation des risques thermiques Kinetic modeling using temperature as an on-line measurement: application to the hydrolysis of acetic anhydride, a revisited kinetic model." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMIR10.

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L'emballement thermique est l'un des principaux évènements critiques des accidents de l'industrie chimique. Pour évaluer le risque de tels évènements, une évaluation du risque thermique doit être effectuée. Néanmoins, sur la base de l'évaluation du risque thermique, il n'est pas possible de connaitre les entrées du modèle les plus influentes sur le risque thermique. L'analyse de sensibilité globale a été proposée comme une nouvelle perspective pour évaluer l'influence et l'interaction des entrées du modèle sur les paramètres de risque thermique. Les paramètres suivants ont été étudiés : tempér
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Novák, Lukáš. "Pravděpodobnostní modelování smykové únosnosti předpjatých betonových nosníků: Citlivostní analýza a semi-pravděpodobnostní metody návrhu." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-372051.

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Diploma thesis is focused on advanced reliability analysis of structures solved by non--linear finite element analysis. Specifically, semi--probabilistic methods for determination of design value of resistance, sensitivity analysis and surrogate model created by polynomial chaos expansion are described in the diploma thesis. Described methods are applied on prestressed reinforced concrete roof girder.
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Lu, Rong. "Statistical Methods for Functional Genomics Studies Using Observational Data." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1467830759.

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Paleari, L. "IN SILICO IDEOTYPING: DEFINITION AND EVALUATION OF RICE IDEOTYPES IMPROVED FOR RESISTANCE/TOLERANCE TRAITS TO BIOTIC AND ABIOTIC STRESSORS UNDER CLIMATE CHANGE SCENARIOS." Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/483333.

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The development of new cultivars better adapted to specific growing conditions is a key strategy to meet an ever-increasing growing global food demand and search for more sustainable cropping systems. This is even more crucial in the context of a changing climate. Ecophysiological models and advanced computational techniques (e.g., sensitivity analysis, SA) represent powerful tools to analyze genotype (G) by environment (E) interactions, thus supporting breeders in identifying key traits for specific agro-environmental contexts. However, limits for the effective use of mathematical models wit
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Riahi, Hassen. "Analyse de structures à dimension stochastique élevée : application aux toitures bois sous sollicitation sismique." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00881187.

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Le problème de la dimension stochastique élevée est récurrent dans les analyses probabilistes des structures. Il correspond à l'augmentation exponentielle du nombre d'évaluations du modèle mécanique lorsque le nombre de paramètres incertains est élevé. Afin de pallier cette difficulté, nous avons proposé dans cette thèse, une approche à deux étapes. La première consiste à déterminer la dimension stochastique efficace, en se basant sur une hiérarchisation des paramètres incertains en utilisant les méthodes de criblage. Une fois les paramètres prépondérants sur la variabilité de la réponse du mo
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Części książek na temat "Sobol sensitivity method"

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Jiang, Yuze, Wenyu Yang, Liang Qin, and Tong Ding. "Geometric Error Modeling and Sensitivity Analysis of a Laser Pipe-Cutting System Based on Lie Group and Sobol Method." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85910-7_49.

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Bingler Arnold and Bilicz Sándor. "Sensitivity Analysis Using a Sparse Grid Surrogate Model in Electromagnetic NDE." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-836-5-152.

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The global sensitivity analysis of electromagnetic nondestructive evaluation (NDE) by means of Sobol' indices are considered in this work. To reduce the computational burden, a sparse grid surrogate model is used. The latter can simply replace the true simulator to some extent, but it can also be used to numerically evaluate the integrals defining the Sobol' indices. In most of the NDE setups, the output is not a scalar quantity but functional data (e.g., a surface scan); a method is presented to take this into account. The sparse grid based sensitivity analysis is compared to classical techni
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Bilicz, Sándor. "Sensitivity Analysis for the Inverse Problems of Electromagnetic Nondestructive Evaluation." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2020. http://dx.doi.org/10.3233/saem200032.

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Sensitivity analysis of the model-based inverse problem associated to electromagnetic nondestructive evaluation is dealt with. Some uncertainty of the arrangement is inevitable present (imprecise host material parameters, sensor mispositioning, etc.), and this induces uncertainty on the reconstructed defect parameters. The aim of this work is to present a methodology for the ranking of the different sources of random error according to their contribution to the reconstruction uncertainty. To this end, state-of-art mathematical tools of sensitivity analysis are applied, including Sobol’ indices
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"Pacific Salmon Environmental and Life History Models: Advancing Science for Sustainable Salmon in the Future." In Pacific Salmon Environmental and Life History Models: Advancing Science for Sustainable Salmon in the Future, edited by Paul McElhany, E. Ashley Steel, David Jensen, and Karen A. Avery. American Fisheries Society, 2009. http://dx.doi.org/10.47886/9781934874097.ch17.

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<em>Abstract.</em>—The Ecosystem Diagnosis and Treatment (EDT) model has been widely applied in developing recovery goals and in identifying recovery actions for Pacific salmonids. We conducted a sensitivity analysis of this complex model to estimate prediction intervals and to determine which parameter uncertainties have the greatest influence on model output precision. We used the global sensitivity method of Sobol, but applied a hierarchical structuring of model parameters because the model incorporates a very large number of parameters. Initial results suggest that the model pr
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Coveney, Peter V., and Shunzhou Wan. "Verification, Validation and Uncertainty Quantification." In Molecular Dynamics: Probability and Uncertainty. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780191997099.003.0005.

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Abstract This chapter presents a comprehensive overview of Verification, Validation and Uncertainty Quantification (VVUQ) in the context of molecular dynamics. It begins with an introduction to the fundamental concepts of VVUQ, followed by detailed explanations of various theoretical methods including stochastic collocation, polynomial chaos, Sobol indices and Gaussian processes. The chapter outlines standard procedures for verification and validation, emphasizing their critical role in ensuring the accuracy and reliability of simulations. It delves into techniques for uncertainty quantificati
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"Odour quality depends not only on the sensitivity of the human nose but also on the subjectivity of the human language to be able to describe the odour (17). Some chemical characteristics of slurry have been compared to the slurry odour. A relationship between volatile fatty acids (VFA) and odour offensiveness of poultry manure was described by Bell (18). Sobel (19) used a panel of people to assess the odour offensiveness of poultry manure and found a correlation between total solids and offensiveness. Williams (5) found that odour intensity measurements by liquid dilution of piggery slurry were not successful, and concluded that the offensiveness of odours rather than their Intensity was the best indicator of odour nuisance.Odour offensiveness is a supra-threshold assessment and depends on the human sense of smell. Since complaints result from the detection of offensive compounds by the human nose and because of the problems of quantifying all the odour compounds in slurry by analytical methods, it is desirable to use the human nose for odour offensiveness measurements. This presents problems, since there is a large variation of sensitivity to odorants and some people are anosmic & 20). The well being of a person also affects their response to odours (2). Odour offensiveness is a subjective determination and requires as many people as possible to assess an odour and minimise variations in sensitivity. The problems of routine olfactory odour assessments are that they are not only very time consuming, but also very subjective. Spoelstra (21) listed criteria for potentially suitable odour indicators and concluded that VFA and p-cresol were the best odour indicators of piggery slurry. Williams (5) examined the supernatant 5 day biochemical oxygen demand (BOD ), total organic acids (TOA), VFA and." In Odour Prevention and Control of Organic Sludge and Livestock Farming. CRC Press, 1986. http://dx.doi.org/10.1201/9781482286311-119.

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Streszczenia konferencji na temat "Sobol sensitivity method"

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Tian, Cheng, Fei Ni, Lin Fan, Huan Huang, and Zhikang Yuan. "Global Sensitivity Analysis of Long-Stator Linear Synchronous Motor Based on the Sobol’ Method." In 2025 15th International Symposium on Linear Drivers for Industry Applications (LDIA). IEEE, 2025. https://doi.org/10.1109/ldia64731.2025.11060388.

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Gao, Tian, Youkang Zhang, Linlin Dong, et al. "Sensitivity Analysis on Efficiency Influence Factors of Transmission Chain Slope Gravity Energy Storage System Based on Sobol Method." In 2024 IEEE International Conference on Electrical Energy Conversion Systems and Control(IEECSC). IEEE, 2024. https://doi.org/10.1109/ieecsc62814.2024.10913819.

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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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Li, Chenzhao, and Sankaran Mahadevan. "Global Sensitivity Analysis for a Bayesian Network." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59671.

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In a Bayesian network, how a node of interest is affected by the observation of another node is of interest in both forward propagation and backward inference. The proposed global sensitivity analysis (GSA) for Bayesian network aims to calculate the Sobol’ sensitivity index of a node with respect to the node of interest. The desired GSA for Bayesian network confronts two challenges. First, the computation of the Sobol’ index requires a deterministic function while the Bayesian network is a stochastic model. Second, the computation of the Sobol’ index can be expensive, especially if the model i
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Zhao, Zhiqiang, Zhigang Wang, and Liu Yi. "Study on methods based on Sobol indices method for analyzing sensitivity of army equipment effectiveness." In International Conference on Simulation and Modeling Methodologies, Technologies and Applications. WIT Press, 2014. http://dx.doi.org/10.2495/smta140851.

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Deng, Liting, Liping Yan, Zihan Sun, Xiang Zhao, and Richard Xian-Ke Gao. "Global Sensitivity Analysis for Crosstalk of Three-Conductor Transmission Line using Sobol ′ Method." In 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC). IEEE, 2022. http://dx.doi.org/10.1109/apemc53576.2022.9888666.

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Waqas, Abi, Daniele Melati, and Andrea Melloni. "Stochastic simulation and sensitivity analysis of photonic circuit through Morris and Sobol method." In Optical Fiber Communication Conference. OSA, 2017. http://dx.doi.org/10.1364/ofc.2017.th2a.3.

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Qiao, Zhongfei, Rongfeng Yang, Weiqiang Liao, Yibin Fang, Yingjun Gui, and Xin Dong. "Sensitivity analysis of the impedance parameters of converters based on the Sobol method." In Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), edited by Mohd Shakir Md Saat and Mamun Bin Ibne Reaz. SPIE, 2023. http://dx.doi.org/10.1117/12.3004249.

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Song, Wenqiang, Fei Wang, Jiandong Duan, and Shuai Fang. "Loss Sensitivity Analysis in Distribution Networks Considering the Influence of Power Quality Using Sobol Sensitivity Analysis Method." In 2022 4th International Conference on Power and Energy Technology (ICPET). IEEE, 2022. http://dx.doi.org/10.1109/icpet55165.2022.9918323.

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Chen, Chen, Su-Dan Huang, Guang-Zhong Cao, Gang Jing, and Liu Yan. "Thrust Force Ripple Analysis of Linear Switched Reluctance Motors Using Sobol Sensitivity Analysis Method." In 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA). IEEE, 2021. http://dx.doi.org/10.1109/ldia49489.2021.9505782.

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