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Articles de revues sur le sujet « Sensitivity simulation »

Auteur : Grafiati

Publié le 3 juin 2025

Mis à jour le 31 juillet 2025

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1

Mo, Wen Hui. "Monte Carlo Simulation of Reliability for Gear." Advanced Materials Research 268-270 (July 2011): 42–45. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.42.

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Production errors, material properties and applied loads of the gear are stochastic .Considering the influence of these stochastic factors, reliability of gear is studied. The sensitivity analysis of random variable can reduce the number of random variables. Simulating random variables, a lot of samples are generated. Using the Monte Carlo simulation based on the sensitivity analysis, reliabilities of contacting fatigue strength and bending fatigue strength can be obtained. The Monte Carlo simulation approaches the accurate solution gradually with the increase of the number of simulations. The

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Altieri, S., G. Belli, G. Bruno та ін. "RPC γ sensitivity simulation". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 456, № 1-2 (2000): 99–102. http://dx.doi.org/10.1016/s0168-9002(00)00971-2.

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Brady, Esther C., Bette L. Otto-Bliesner, Jennifer E. Kay, and Nan Rosenbloom. "Sensitivity to Glacial Forcing in the CCSM4." Journal of Climate 26, no. 6 (2013): 1901–25. http://dx.doi.org/10.1175/jcli-d-11-00416.1.

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Abstract Results are presented from the Community Climate System Model, version 4 (CCSM4), simulation of the Last Glacial Maximum (LGM) from phase 5 of the Coupled Model Intercomparison Project (CMIP5) at the standard 1° resolution, the same resolution as the majority of the CCSM4 CMIP5 long-term simulations for the historical and future projection scenarios. The forcings and boundary conditions for this simulation follow the protocols of the Paleoclimate Modeling Intercomparison Project, version 3 (PMIP3). Two additional CCSM4 CO2 sensitivity simulations, in which the concentrations are abrup

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Koushik, Priyanka. "Data-Driven Simulation: Integrating Sensitivity Analysis into Supply Chain Optimization." International Journal of Science and Research (IJSR) 13, no. 5 (2024): 875–84. http://dx.doi.org/10.21275/sr24511175813.

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Chen, Chun Jung, Yu Wei Chen, Chang Lung Tsai, Chih Jen Lee, and Jenn Dong Sun. "Incremental Circuit and Sensitivity Simulations Using Iterated Timing Analysis Algorithm." Advanced Materials Research 748 (August 2013): 839–42. http://dx.doi.org/10.4028/www.scientific.net/amr.748.839.

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This paper investigates incremental circuit/sensitivity simulations for large-scale MOSFET circuits using the well-known ITA (Iterated Timing Analysis) algorithm. Incremental simulation uses the result waveforms of previous simulation to fasten the simulation speed, which is quite advantageous in the practical incremental-modifying circuit design strategy. Most proposed methods have been implemented and tested to justify their advantages.

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Li, Zhujun, Paquita Zuidema, Ping Zhu, and Hugh Morrison. "The Sensitivity of Simulated Shallow Cumulus Convection and Cold Pools to Microphysics." Journal of the Atmospheric Sciences 72, no. 9 (2015): 3340–55. http://dx.doi.org/10.1175/jas-d-14-0099.1.

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Abstract The sensitivity of nested WRF simulations of precipitating shallow marine cumuli and cold pools to microphysical parameterization is examined. The simulations differ only in their use of two widely used double-moment rain microphysical schemes: the Thompson and Morrison schemes. Both simulations produce similar mesoscale variability, with the Thompson scheme producing more weak cold pools and the Morrison scheme producing more strong cold pools, which are associated with more intense shallow convection. The most robust difference is that the cloud cover and LWP are significantly large

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Zingale, Michael, Zhi Chen, Melissa Rasmussen, et al. "Sensitivity of Simulations of Double-detonation Type Ia Supernovae to Integration Methodology." Astrophysical Journal 966, no. 2 (2024): 150. http://dx.doi.org/10.3847/1538-4357/ad3441.

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Abstract We study the coupling of hydrodynamics and reactions in simulations of the double-detonation model for Type Ia supernovae. When assessing the convergence of simulations, the focus is usually on spatial resolution; however, the method of coupling the physics together as well as the tolerances used in integrating a reaction network also play an important role. In this paper, we explore how the choices made in both coupling and integrating the reaction portion of a simulation (operator/Strang splitting versus the simplified spectral deferred corrections method we introduced previously) i

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Alagoz, Ekrem. "Numerical Simulation of a Multilateral Saturated Reservoir using MATLAB-based Simulator." Petroleum & Petrochemical Engineering Journal 8, no. 4 (2024): 1–12. https://doi.org/10.23880/ppej-16000399.

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This paper presents a detailed numerical simulation study of a multilateral saturated reservoir using a MATLAB-based simulator. The study focuses on the calculation of various parameters such as pressure, temperature, flow regime, gas and oil velocity, and pressure drops. The simulator uses four MATLAB script files and five function files to perform these calculations. The simulation results are analyzed and presented in various graphs and charts, including pressure vs depth, temperature vs depth, flow regime vs depth, gas and oil velocity vs depth, delta pressures vs depth, mixture density vs

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Chen, Zhi, Eric T. Johnson, Max Katz, Alexander Smith Clark, Brendan Boyd, and Michael Zingale. "A Framework for Exploring Nuclear Physics Sensitivity in Numerical Simulations." Journal of Physics: Conference Series 2742, no. 1 (2024): 012021. http://dx.doi.org/10.1088/1742-6596/2742/1/012021.

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Abstract We describe the AMReX-Astrophysics framework for exploring the sensitivity of astrophysical simulations to the details of a nuclear reaction network, including the number of nuclei, choice of reaction rates, and approximations used. This is explored by modeling a simple detonation with the Castro simulation code. The entire simulation methodology is open-source and GPU-enabled.

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Arteta, J., V. Marécal, and E. D. Rivière. "Regional modelling of tracer transport by tropical convection – Part 2: Sensitivity to model resolutions." Atmospheric Chemistry and Physics Discussions 9, no. 2 (2009): 5929–65. http://dx.doi.org/10.5194/acpd-9-5929-2009.

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Abstract. The general objective of this series of two papers is to evaluate long duration limited-area simulations with idealised tracers as a tool to assess the tracer transport in chemistry-transport models (CTMs). In this second paper we analyse the results of three simulations using different horizontal and vertical resolutions against meteorological observations and their impact on idealized tracer transport. The reference simulation (REF) uses a 60 km horizontal resolution and 300 m vertically in the upper troposphere/lower stratosphere (UTLS). A 20 km horizontal resolution simulation (H

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Kim, Daehyun, Prince Xavier, Eric Maloney, et al. "Process-Oriented MJO Simulation Diagnostic: Moisture Sensitivity of Simulated Convection." Journal of Climate 27, no. 14 (2014): 5379–95. http://dx.doi.org/10.1175/jcli-d-13-00497.1.

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Abstract Process-oriented diagnostics for Madden–Julian oscillation (MJO) simulations are being developed to facilitate improvements in the representation of the MJO in weather and climate models. These process-oriented diagnostics are intended to provide insights into how parameterizations of physical processes in climate models should be improved for a better MJO simulation. This paper proposes one such process-oriented diagnostic, which is designed to represent sensitivity of simulated convection to environmental moisture: composites of a relative humidity (RH) profile based on precipitatio

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An Yingbo, 安迎波, 徐向晏 Xu Xiangyan, 孙巧霞 Sun Qiaoxia, et al. "Simulation of Multi-Alkali Photocathode Sensitivity." Acta Optica Sinica 34, no. 3 (2014): 0331001. http://dx.doi.org/10.3788/aos201434.0331001.

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Gödel, Marion, Rainer Fischer, and Gerta Köster. "Sensitivity Analysis for Microscopic Crowd Simulation." Algorithms 13, no. 7 (2020): 162. http://dx.doi.org/10.3390/a13070162.

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Microscopic crowd simulation can help to enhance the safety of pedestrians in situations that range from museum visits to music festivals. To obtain a useful prediction, the input parameters must be chosen carefully. In many cases, a lack of knowledge or limited measurement accuracy add uncertainty to the input. In addition, for meaningful parameter studies, we first need to identify the most influential parameters of our parametric computer models. The field of uncertainty quantification offers standardized and fully automatized methods that we believe to be beneficial for pedestrian dynamics

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Bodine, David J., Takashi Maruyama, Robert D. Palmer, Caleb J. Fulton, Howard B. Bluestein, and David C. Lewellen. "Sensitivity of Tornado Dynamics to Soil Debris Loading." Journal of the Atmospheric Sciences 73, no. 7 (2016): 2783–801. http://dx.doi.org/10.1175/jas-d-15-0188.1.

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Abstract Past numerical simulation studies found that debris loading from sand-sized particles may substantially affect tornado dynamics, causing reductions in near-surface wind speeds up to 50%. To further examine debris loading effects, simulations are performed using a large-eddy simulation model with a two-way drag force coupling between air and sand. Simulations encompass a large range of surface debris fluxes that cause negligible to substantial impact on tornado dynamics for a high-swirl tornado vortex simulation. Simulations are considered for a specific case with a single vortex flow

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Arteta, J., V. Marécal, and E. D. Rivière. "Regional modelling of tracer transport by tropical convection – Part 2: Sensitivity to model resolutions." Atmospheric Chemistry and Physics 9, no. 18 (2009): 7101–14. http://dx.doi.org/10.5194/acp-9-7101-2009.

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Abstract. The general objective of this series of two papers is to evaluate long duration limited-area simulations with idealised tracers as a possible tool to assess the tracer transport in chemistry-transport models (CTMs). In this second paper we analyse the results of three simulations using different horizontal and vertical resolutions. The goal is to study the impact of the model spatial resolution on convective transport of idealized tracer in the tropics. The reference simulation (REF) uses a 60 km horizontal resolution and 300 m vertically in the upper troposphere/lower stratosphere (

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Yin, Peng, and Jian Q. Shi. "Simulation-based sensitivity analysis for non-ignorably missing data." Statistical Methods in Medical Research 28, no. 1 (2017): 289–308. http://dx.doi.org/10.1177/0962280217722382.

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Sensitivity analysis is popular in dealing with missing data problems particularly for non-ignorable missingness, where full-likelihood method cannot be adopted. It analyses how sensitively the conclusions (output) may depend on assumptions or parameters (input) about missing data, i.e. missing data mechanism. We call models with the problem of uncertainty sensitivity models. To make conventional sensitivity analysis more useful in practice we need to define some simple and interpretable statistical quantities to assess the sensitivity models and make evidence based analysis. We propose a nove

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Buser, Y. M., E. T. M. Krämer, R. Akkerman, and W. J. B. Grouve. "Predictive Simulation of Induction Heating for Unidirectional Thermoplastic Composites – Characterisation, Validation and Process Sensitivity." SAMPE Journal 61, no. 4 (2025): 22–27. https://doi.org/10.33599/sj.v61no4.02.

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Advancing induction welding for unidirectional (ud) tape-based thermoplastic composites (tpcs) requires predictive capabilities regarding the heating response through physics-based numerical simulation. This research focuses on modelling induction heating enabled by accurate characterisation of the orthotropic electrical conductivity tensor. The obtained material data was used in comsol Multiphysics® for simulating the induction heating response of various ud-ply based lay-ups. These simulations were validated experimentally using infrared thermography. Furthermore, the validated model enabled

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Milbrandt, J. A., and M. K. Yau. "A Multimoment Bulk Microphysics Parameterization. Part IV: Sensitivity Experiments." Journal of the Atmospheric Sciences 63, no. 12 (2006): 3137–59. http://dx.doi.org/10.1175/jas3817.1.

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This is the fourth in a series of papers exploring the effects of the number of predicted moments in bulk microphysics schemes. In Part III, the three-moment version of a new multimoment scheme was used to simulate a severe hailstorm. The model successfully reproduced many of the observed gross characteristics, including the reflectivity structure and the maximum hail sizes at the ground. In this paper, the authors compare a series of sensitivity experiments using various one- and two-moment versions of the scheme with the three-moment version to explore the effects of predicting additional mo

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You, Yuanhong, Chunlin Huang, and Yuhao Zhang. "Assessing the Sensitivity of Snow Depth Simulations to Land Surface Parameterizations within Noah-MP in Northern Xinjiang, China." Remote Sensing 16, no. 3 (2024): 594. http://dx.doi.org/10.3390/rs16030594.

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Snow cover plays a crucial role in the surface energy balance and hydrology and serves as a key indicator of climate change. In this study, we conducted an ensemble simulation comprising 48 members generated by randomly combining the parameterizations of five physical processes within the Noah-MP model. Utilizing the variance-based Sobol total sensitivity index, we quantified the sensitivity of regional-scale snow depth simulations to parameterization schemes. Additionally, we analyzed the spatial patterns of the parameterization sensitivities and assessed the uncertainty of the multi-paramete

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Brogli, Roman, Christoph Heim, Jonas Mensch, Silje Lund Sørland, and Christoph Schär. "The pseudo-global-warming (PGW) approach: methodology, software package PGW4ERA5 v1.1, validation, and sensitivity analyses." Geoscientific Model Development 16, no. 3 (2023): 907–26. http://dx.doi.org/10.5194/gmd-16-907-2023.

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Abstract. The term “pseudo-global warming” (PGW) refers to a simulation strategy in regional climate modeling. The strategy consists of directly imposing large-scale changes in the climate system on a control regional climate simulation (usually representing current conditions) by modifying the boundary conditions. This differs from the traditional dynamic downscaling technique where output from a global climate model (GCM) is used to drive regional climate models (RCMs). The PGW climate changes are usually derived from a transient global climate model (GCM) simulation. The PGW approach offers

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Boyd, B., A. Smith Clark, A. C. Calder, D. M. Townsley, and M. Zingale. "Sensitivity of 3D Convective Urca Simulations to Changes in Urca Reactions." Journal of Physics: Conference Series 2742, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2742/1/012001.

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Abstract A proposed setting for thermonuclear (Type Ia) supernovae is a white dwarf that has gained mass from a companion to the point of carbon ignition in the core. There is a simmering phase in the early stages of burning that involves the formation and growth of a core convection zone. One aspect of this phase is the convective Urca process, a linking of weak nuclear reactions to convection that may alter the composition and structure of the white dwarf. Convective Urca is not well understood and requires 3D fluid simulations to realistically model. Additionally, the convection is relative

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Hack, James J., Julie M. Caron, G. Danabasoglu, Keith W. Oleson, Cecilia Bitz, and John E. Truesdale. "CCSM–CAM3 Climate Simulation Sensitivity to Changes in Horizontal Resolution." Journal of Climate 19, no. 11 (2006): 2267–89. http://dx.doi.org/10.1175/jcli3764.1.

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Abstract The latest version of the Community Climate System Model (CCSM) Community Atmosphere Model version 3 (CAM3) has been released to allow for numerical integration at a variety of horizontal resolutions. One goal of the CAM3 design was to provide comparable large-scale simulation fidelity over a range of horizontal resolutions through modifications to adjustable coefficients in the parameterized treatment of clouds and precipitation. Coefficients are modified to provide similar cloud radiative forcing characteristics for each resolution. Simulations with the CAM3 show robust systematic i

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Woinaroschy, Alexandru. "COST SENSITIVITY ANALYSIS BY MONTE CARLO SIMULATION." Environmental Engineering and Management Journal 7, no. 3 (2008): 173–77. http://dx.doi.org/10.30638/eemj.2008.049.

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Gong, Yanan, Kam Pui Chow, Siu Ming Yiu, and Hing Fung Ting. "Sensitivity analysis for a Bitcoin simulation model." Forensic Science International: Digital Investigation 43 (September 2022): 301449. http://dx.doi.org/10.1016/j.fsidi.2022.301449.

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Zhang, Xiang Rong, Xu Dan, and Lin Zhou. "Numerical Simulation of Thermal Sensitivity for Explosives." Advanced Materials Research 734-737 (August 2013): 2116–19. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.2116.

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In order to compare the thermal sensitivity of several typical explosives, this article solved numerically one-dimensional transient heat conduction equation including thermal decomposition for explosives with finite difference method. The explicit difference equations under different boundary conditions were established, and the corresponding stability criterion was derived. The ignition times for typical explosives were calculated, which was used to evaluate thermal sensitivity of explosives.

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Rakopoulos, C. D., and E. G. Glakoumis. "Sensitivity analysis of transient diesel engine simulation." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 220, no. 1 (2006): 89–101. http://dx.doi.org/10.1243/095440705x69641.

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Feldmann, P., T. V. Nguyen, S. W. Director, and R. A. Rohrer. "Sensitivity computation in piecewise approximate circuit simulation." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 10, no. 2 (1991): 171–83. http://dx.doi.org/10.1109/43.68404.

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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 (2007): 114–1215. http://dx.doi.org/10.2514/1.20722.

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Kleijnen, Jack P. C. "Sensitivity analysis of simulation models: an overview." Procedia - Social and Behavioral Sciences 2, no. 6 (2010): 7585–86. http://dx.doi.org/10.1016/j.sbspro.2010.05.130.

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Song, Shufang, Zhenzhou Lu, and Hongwei Qiao. "Subset simulation for structural reliability sensitivity analysis." Reliability Engineering & System Safety 94, no. 2 (2009): 658–65. http://dx.doi.org/10.1016/j.ress.2008.07.006.

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Nannicini, Tommaso. "Simulation-Based Sensitivity Analysis for Matching Estimators." Stata Journal: Promoting communications on statistics and Stata 7, no. 3 (2007): 334–50. http://dx.doi.org/10.1177/1536867x0700700303.

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This article presents a Stata program (sensatt) that implements the sensitivity analysis for matching estimators proposed by Ichino, Mealli, and Nannicini (Journal of Applied Econometrics, forthcoming). The analysis simulates a potential confounder to assess the robustness of the estimated treatment effects with respect to deviations from the conditional independence assumption. The program uses the commands for propensity-score matching (att*) developed by Becker and Ichino (Stata Journal 2: 358–377). I give an example by using the National Supported Work demonstration, widely known in the pr

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Eimers, Jo Leslie. "“Parameter Sensitivity Analysis for Hydrologic Simulation Models”." Water International 13, no. 4 (1988): 235. http://dx.doi.org/10.1080/02508068808687097.

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Tahal, E. Simon. "“Parameter Sensitivity Analysis for Hydrologic Simulation Models”." Water International 13, no. 4 (1988): 235–36. http://dx.doi.org/10.1080/02508068808687098.

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Simon, E. "Parameter Sensitivity Analysis For Hydrologic Simulation Models." Water International 13, no. 1 (1988): 46–56. http://dx.doi.org/10.1080/02508068808691989.

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Kim, Sang-Kon, and Hye-Keun Oh. "Sensitivity of Simulation Parameter for Critical Dimension." Japanese Journal of Applied Physics 41, Part 1, No. 6B (2002): 4222–27. http://dx.doi.org/10.1143/jjap.41.4222.

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Doubilet, Peter, Colin B. Begg, Milton C. Weinstein, Peter Braun, and Barbara J. McNeil. "Probabilistic Sensitivity Analysis Using Monte Carlo Simulation." Medical Decision Making 5, no. 2 (1985): 157–77. http://dx.doi.org/10.1177/0272989x8500500205.

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Au, S. K. "Reliability-based design sensitivity by efficient simulation." Computers & Structures 83, no. 14 (2005): 1048–61. http://dx.doi.org/10.1016/j.compstruc.2004.11.015.

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Brito, Paulo, Luísa Durães, José Campos, and António Portugal. "Simulation of Fe2O3/Al combustion: Sensitivity analysis." Chemical Engineering Science 62, no. 18-20 (2007): 5078–83. http://dx.doi.org/10.1016/j.ces.2007.01.070.

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Penny, Andrew B., Patrick A. Harr, and James D. Doyle. "Sensitivity to the Representation of Microphysical Processes in Numerical Simulations during Tropical Storm Formation." Monthly Weather Review 144, no. 10 (2016): 3611–30. http://dx.doi.org/10.1175/mwr-d-15-0259.1.

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An analysis of in situ observations from the nondeveloping tropical disturbance named TCS025 revealed that a combination of unfavorable system-scale and environmental factors limited further development. In this study, a multiphysics ensemble of high-resolution simulations of TCS025 are analyzed and compared. A simulation that overdeveloped the TCS025 disturbance is compared with one that correctly simulated nondevelopment and reveals that convection was stronger and diabatic heating rates were larger in the developing simulation. This led to continued spinup of the low-level circulation prima

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Rietman, Bert, Sebastiaan P. Haanappel, René H. W. ten Thije, and Remko Akkerman. "Forming Simulation Sensitivity Study of the Double-Dome Benchmark Geometry." Key Engineering Materials 504-506 (February 2012): 301–6. http://dx.doi.org/10.4028/www.scientific.net/kem.504-506.301.

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Simulations of manufacturing processes are of utmost importance in order to check on process feasibility of composites products already during the design phase. In order to benchmark the different software for (thermo)forming simulations of textiles and composites a benchmark geometry was agreed during previous Esaform conferences. Round 2 results have led to the insight that a stronger definition of the benchmark was needed, see [1]. The geometry, referred to as double-dome, combines doubly curved regions with steep walls and small radii. Therefore it may be considered critical with respect t

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Xiao, Ming, and Jill Higginson. "Sensitivity of Estimated Muscle Force in Forward Simulation of Normal Walking." Journal of Applied Biomechanics 26, no. 2 (2010): 142–49. http://dx.doi.org/10.1123/jab.26.2.142.

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Generic muscle parameters are often used in muscle-driven simulations of human movement to estimate individual muscle forces and function. The results may not be valid since muscle properties vary from subject to subject. This study investigated the effect of using generic muscle parameters in a muscle-driven forward simulation on muscle force estimation. We generated a normal walking simulation in OpenSim and examined the sensitivity of individual muscle forces to perturbations in muscle parameters, including the number of muscles, maximum isometric force, optimal fiber length, and tendon sla

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Zhou, Yanlian, Weimin Ju, Xiaomin Sun, Xuefa Wen, and Dexin Guan. "Significant Decrease of Uncertainties in Sensible Heat Flux Simulation Using Temporally Variable Aerodynamic Roughness in Two Typical Forest Ecosystems of China." Journal of Applied Meteorology and Climatology 51, no. 6 (2012): 1099–110. http://dx.doi.org/10.1175/jamc-d-11-0243.1.

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AbstractAerodynamic roughness length zom is an important parameter for reliably simulating surface fluxes. It varies with wind speed, atmospheric stratification, terrain, and other factors. However, it is usually considered a constant. It is known that uncertainties in zom result in latent heat flux (LE) simulation errors, since zom links LE with aerodynamic resistance. The effects of zom on sensible heat flux (SH) simulation are usually neglected because there is no direct link between the two. By comparing SH simulations with three types of zom inputs, it is found that allowing zom temporal

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Zhang, Xiaobo, Zhenzhou Lu, Kai Cheng, and Yanping Wang. "A novel reliability sensitivity analysis method based on directional sampling and Monte Carlo simulation." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 234, no. 4 (2020): 622–35. http://dx.doi.org/10.1177/1748006x19899504.

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Local reliability sensitivity and global reliability sensitivity are required in reliability-based design optimization, since they can provide rich information including variable importance ranking and gradient information. However, traditional Monte Carlo simulation is inefficient for engineering application. A novel numerical simulation method based on Monte Carlo simulation and directional sampling is proposed to simultaneously estimate local reliability sensitivity and global reliability sensitivity. By suitable transformation, local reliability sensitivity and global reliability sensitivi

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Sakouvogui, Kekoura, Saleem Shaik, Curt Doetkott, and Rhonda Magel. "Sensitivity analysis of stochastic frontier analysis models." Monte Carlo Methods and Applications 27, no. 1 (2021): 71–90. http://dx.doi.org/10.1515/mcma-2021-2083.

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Abstract The efficiency measures of the Stochastic Frontier Analysis (SFA) models are dependent on distributional assumptions of the one-sided error or inefficiency term. Given the intent of earlier researchers in the evaluation of a single inefficiency distribution using Monte Carlo (MC) simulation, much attention has not been paid to the comparative analysis of SFA models. Our paper aims to evaluate the effects of the assumption of the inefficiency distribution and thus compares different SFA model assumptions by conducting a MC simulation. In this paper, we derive the population statistical

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Cao, Zhengqing, Kaiyue Fang, Xinchen Zhang, and Xuelong Yang. "Study on the sensitivity of steam ejector simulation to wall treatment methods." Journal of Physics: Conference Series 2707, no. 1 (2024): 012083. http://dx.doi.org/10.1088/1742-6596/2707/1/012083.

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Abstract Considering the importance of turbulence model and wall treatment to steam ejector simulation, the influence of five wall treatment methods on numerical results was studied based on the realizable k-ε turbulence model (RKE). Combined with experimental data and SST turbulence model, the prediction of complex flow phenomena inside the ejector, including shock wave and reflux, by different wall treatment methods is discussed. The results show that under the numerical simulation conditions, the enhanced wall treatment method (EWT) combined with the RKE model can better predict the injecti

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Schraml, K., B. Thomschitz, B. W. McArdell, C. Graf, and R. Kaitna. "Modeling debris-flow runout patterns on two alpine fans with different dynamic simulation models." Natural Hazards and Earth System Sciences Discussions 3, no. 2 (2015): 1397–425. http://dx.doi.org/10.5194/nhessd-3-1397-2015.

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Abstract. Predicting potential deposition areas of future debris-flow events is important for engineering hazard assessment in alpine regions. For this, numerical simulation models are commonly used tools. However, knowledge of appropriate model parameters is essential but often not available. In this study we use two numerical simulation models, RAMMS-DF (Rapid Mass Movement System – Debris Flow) and DAN3D (Dynamic Analysis of Landslides in Three Dimensions), to back-calculate two well-documented debris-flow events in Austria and to compare the range and sensitivity of input parameters for th

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Echave, Julian. "Fast computational mutation-response scanning of proteins." PeerJ 9 (April 21, 2021): e11330. http://dx.doi.org/10.7717/peerj.11330.

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Studying the effect of perturbations on protein structure is a basic approach in protein research. Important problems, such as predicting pathological mutations and understanding patterns of structural evolution, have been addressed by computational simulations that model mutations using forces and predict the resulting deformations. In single mutation-response scanning simulations, a sensitivity matrix is obtained by averaging deformations over point mutations. In double mutation-response scanning simulations, a compensation matrix is obtained by minimizing deformations over pairs of mutation

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Pandey, Vartika, Vlad Marsic, Petar Igic, and Soroush Faramehr. "TCAD Modelling of Magnetic Hall Effect Sensors." Inventions 9, no. 4 (2024): 72. http://dx.doi.org/10.3390/inventions9040072.

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In this paper, a gallium nitride (GaN) magnetic Hall effect current sensor is simulated in 2D and 3D using the TCAD Sentaurus simulation toolbox. The model takes into account the piezoelectric polarization effect and the Shockley–Read–Hall (SRH) and Fermi–Dirac statistics for all simulations. The galvanic transport model of TCAD Sentaurus is used to model the Lorentz force and magnetic behaviour of the sensor. The current difference, total current, and sensitivity simulations are systematically calibrated against experimental data. The sensor is optimised using varying geometrical and biasing

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Rupp, T. Scott, Xi Chen, Mark Olson, and A. David McGuire. "Sensitivity of Simulated Boreal Fire Dynamics to Uncertainties in Climate Drivers." Earth Interactions 11, no. 3 (2007): 1–21. http://dx.doi.org/10.1175/ei189.1.

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Abstract Projected climatic warming has direct implications for future disturbance regimes, particularly fire-dominated ecosystems at high latitudes, where climate warming is expected to be most dramatic. It is important to ascertain the potential range of climate change impacts on terrestrial ecosystems, which is relevant to making projections of the response of the Earth system and to decisions by policymakers and land managers. Computer simulation models that explicitly model climate–fire relationships represent an important research tool for understanding and projecting future relationship

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Ilankatharan, Mahadevan, and Bruce Kutter. "Modeling Input Motion Boundary Conditions for Simulations of Geotechnical Shaking Table Tests." Earthquake Spectra 26, no. 2 (2010): 349–69. http://dx.doi.org/10.1193/1.3383214.

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This paper discusses the effects of using different input-motion-boundary-conditions on the sensitivity of numerical simulations results to errors in material properties of a specimen tested on a shaking table. In the flexible-actuator-prescribed-force-boundary-condition, input is specified by a force across an actuator element that connects the shaking table to a reaction mass. In the prescribed-displacement-boundary-condition, the measured shaking table motion in the experiment is prescribed in the simulation. The flexible-actuator-prescribed-force approach yielded smaller, almost constant s

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