Journal of Verification, Validation and Uncertainty Quantification最新文献_第8页

On the Selection of Sensitivity Analysis Methods in the Context of Tolerance Management 公差管理背景下敏感性分析方法的选择

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2019-03-01 DOI: 10.1115/1.4043912

Björn Heling, Thomas Oberleiter, B. Schleich, K. Willner, S. Wartzack

{"title":"On the Selection of Sensitivity Analysis Methods in the Context of Tolerance Management","authors":"Björn Heling, Thomas Oberleiter, B. Schleich, K. Willner, S. Wartzack","doi":"10.1115/1.4043912","DOIUrl":"https://doi.org/10.1115/1.4043912","url":null,"abstract":"Although mass production parts look the same at first sight, every manufactured part is unique, at least on a closer inspection. The reason for this is that every manufactured part is inevitable subjected to different scattering influencing factors and variation in the manufacturing process, such as varying temperatures or tool wear. Products, which are built from these deviation-afflicted parts, consequently show deviations from their ideal properties. To ensure that every single product nevertheless meets its technical requirements, it is necessary to specify the permitted deviations. Furthermore, it is crucial to estimate the consequences of the permitted deviations, which is done via tolerance analysis. During this process, the imperfect parts are assembled virtually and the effects of the geometric deviations can be calculated. Since the tolerance analysis enables engineers to identify weak points in an early design stage, it is important to know which contribution every single tolerance has on a certain quality-relevant characteristic to restrict or increase the correct tolerances. In this paper, four different methods to calculate the sensitivity are introduced and compared. Based on the comparison, guidelines are derived which are intended to facilitate a selection of these different methods. In particular, a newly developed approach, which is based on fuzzy arithmetic, is compared to the established high–low–median method, a variance-based method, and a density-based approach. Since all these methods are based on different assumptions, their advantages and disadvantages are critically discussed based on two case studies.","PeriodicalId":52254,"journal":{"name":"Journal of Verification, Validation and Uncertainty Quantification","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49001589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Estimating Physics Models and Quantifying Their Uncertainty Using Optimization With a Bayesian Objective Function 利用贝叶斯目标函数优化估计物理模型并量化其不确定性

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2019-03-01 DOI: 10.1115/1.4043807

Stephen A. Andrews, A. Fraser

引用次数: 8

Towards Estimating the Uncertainty Associated with Three-Dimensional Geometry Reconstructed from Medical Image Data. 基于医学图像数据重建三维几何的不确定性估计

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2019-01-01

Marc Horner, Stephen M Luke, Kerim O Genc, Todd M Pietila, Ross T Cotton, Benjamin A Ache, Zachary H Levine, Kevin C Townsend

{"title":"Towards Estimating the Uncertainty Associated with Three-Dimensional Geometry Reconstructed from Medical Image Data.","authors":"Marc Horner, Stephen M Luke, Kerim O Genc, Todd M Pietila, Ross T Cotton, Benjamin A Ache, Zachary H Levine, Kevin C Townsend","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Patient-specific computational modeling is increasingly used to assist with visualization, planning, and execution of medical treatments. This trend is placing more reliance on medical imaging to provide accurate representations of anatomical structures. Digital image analysis is used to extract anatomical data for use in clinical assessment/planning. However, the presence of image artifacts, whether due to interactions between the physical object and the scanning modality or the scanning process, can degrade image accuracy. The process of extracting anatomical structures from the medical images introduces additional sources of variability, e.g., when thresholding or when eroding along apparent edges of biological structures. An estimate of the uncertainty associated with extracting anatomical data from medical images would therefore assist with assessing the reliability of patient-specific treatment plans. To this end, two image datasets were developed and analyzed using standard image analysis procedures. The first dataset was developed by performing a \"virtual voxelization\" of a CAD model of a sphere, representing the idealized scenario of no error in the image acquisition and reconstruction algorithms (i.e., a perfect scan). The second dataset was acquired by scanning three spherical balls using a laboratory-grade CT scanner. For the idealized sphere, the error in sphere diameter was less than or equal to 2% if 5 or more voxels were present across the diameter. The measurement error degraded to approximately 4% for a similar degree of voxelization of the physical phantom. The adaptation of established thresholding procedures to improve segmentation accuracy was also investigated.</p>","PeriodicalId":52254,"journal":{"name":"Journal of Verification, Validation and Uncertainty Quantification","volume":"4 4","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448268/pdf/nihms-1572949.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38318163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments 测量过程产生的认知不确定性——以多相激波管实验为例

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2018-12-01 DOI: 10.1115/1.4042814

Chanyoung Park, J. Matthew, N. Kim, R. Haftka

引用次数: 5

Forensic Uncertainty Quantification for Experiments on the Explosively Driven Motion of Particles 粒子爆炸驱动运动实验的法医学不确定性量化

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2018-12-01 DOI: 10.1115/1.4043478

K. Hughes, S. Balachandar, N. Kim, Chanyoung Park, R. Haftka, A. Diggs, D. Littrell, Jason Darr

{"title":"Forensic Uncertainty Quantification for Experiments on the Explosively Driven Motion of Particles","authors":"K. Hughes, S. Balachandar, N. Kim, Chanyoung Park, R. Haftka, A. Diggs, D. Littrell, Jason Darr","doi":"10.1115/1.4043478","DOIUrl":"https://doi.org/10.1115/1.4043478","url":null,"abstract":"Six explosive experiments were performed in October 2014 and February of 2015 at the Munitions Directorate of the Air Force Research Laboratory with the goal of providing validation-quality data for particle drag models in the extreme regime of detonation. Three repeated single particle experiments and three particle array experiments were conducted. The time-varying position of the particles was captured within the explosive products by X-ray imaging. The contact front and shock locations were captured by high-speed photography to provide information on the early time gas behavior. Since these experiments were performed in the past and could not be repeated, we faced an interesting challenge of quantifying and reducing uncertainty through a detailed investigation of the experimental setup and operating conditions. This paper presents the results from these unique experiments, which can serve as benchmark for future modeling, and also our effort to reduce uncertainty, which we dub forensic uncertainty quantification (FUQ).","PeriodicalId":52254,"journal":{"name":"Journal of Verification, Validation and Uncertainty Quantification","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1115/1.4043478","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46948980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Grid-Induced Numerical Errors for Shear Stresses and Essential Flow Variables in a Ventricular Assist Device: Crucial for Blood Damage Prediction? 心室辅助装置中剪切应力和基本流量变量的网格诱导数值误差：对血液损伤预测至关重要？

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2018-12-01 DOI: 10.1115/1.4042989

Lucas Konnigk, B. Torner, Sebastian Hallier, M. Witte, F. Wurm

{"title":"Grid-Induced Numerical Errors for Shear Stresses and Essential Flow Variables in a Ventricular Assist Device: Crucial for Blood Damage Prediction?","authors":"Lucas Konnigk, B. Torner, Sebastian Hallier, M. Witte, F. Wurm","doi":"10.1115/1.4042989","DOIUrl":"https://doi.org/10.1115/1.4042989","url":null,"abstract":"Adverse events due to flow-induced blood damage remain a serious problem for blood pumps as cardiac support systems. The numerical prediction of blood damage via computational fluid dynamics (CFD) is a helpful tool for the design and optimization of reliable pumps. Blood damage prediction models primarily are based on the acting shear stresses, which are calculated by solving the Navier–Stokes equations on computational grids. The purpose of this paper is to analyze the influence of the spatial discretization and the associated discretization error on the shear stress calculation in a blood pump in comparison to other important flow quantities like the pressure head of the pump. Therefore, CFD analysis using seven unsteady Reynolds-averaged Navier–Stokes (URANS) simulations was performed. Two simple stress calculation indicators were applied to estimate the influence of the discretization on the results using an approach to calculate numerical uncertainties, which indicates discretization errors. For the finest grid with 19 × 106 elements, numerical uncertainties up to 20% for shear stresses were determined, while the pressure heads show smaller uncertainties with a maximum of 4.8%. No grid-independent solution for velocity gradient-dependent variables could be obtained on a grid size that is comparable to mesh sizes in state-of-the-art blood pump studies. It can be concluded that the grid size has a major influence on the shear stress calculation, and therefore, the potential blood damage prediction, and that the quantification of this error should always be taken into account.","PeriodicalId":52254,"journal":{"name":"Journal of Verification, Validation and Uncertainty Quantification","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1115/1.4042989","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43099660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Assessment of Model Confidence of a Laser Source Model in xRAGE Using Omega Direct-Drive Implosion Experiments 使用Omega直接驱动内爆实验评估xRAGE中激光源模型的模型置信度

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2018-12-01 DOI: 10.1115/1.4043370

B. Wilson, A. Koskelo

引用次数: 4

Implementation and Assessment of a Residual-Based r-Adaptation Technique on Structured Meshes 一种基于残差的结构网格自适应技术的实现与评价

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2018-12-01 DOI: 10.1115/1.4043652

A. Choudhary, William C. Tyson, Christopher J. Roy

{"title":"Implementation and Assessment of a Residual-Based r-Adaptation Technique on Structured Meshes","authors":"A. Choudhary, William C. Tyson, Christopher J. Roy","doi":"10.1115/1.4043652","DOIUrl":"https://doi.org/10.1115/1.4043652","url":null,"abstract":"In this study, an r-adaptation technique for mesh adaptation is employed for reducing the solution discretization error, which is the error introduced due to spatial and temporal discretization of the continuous governing equations in numerical simulations. In r-adaptation, mesh modification is achieved by relocating the mesh nodes from one region to another without introducing additional nodes. Truncation error (TE) or the discrete residual is the difference between the continuous and discrete form of the governing equations. Based upon the knowledge that the discrete residual acts as the source of the discretization error in the domain, this study uses discrete residual as the adaptation driver. The r-adaptation technique employed here uses structured meshes and is verified using a series of one-dimensional (1D) and two-dimensional (2D) benchmark problems for which exact solutions are readily available. These benchmark problems include 1D Burgers equation, quasi-1D nozzle flow, 2D compression/expansion turns, and 2D incompressible flow past a Karman–Trefftz airfoil. The effectiveness of the proposed technique is evident for these problems where approximately an order of magnitude reduction in discretization error (when compared with uniform mesh results) is achieved. For all problems, mesh modification is compared using different schemes from literature including an adaptive Poisson grid generator (APGG), a variational grid generator (VGG), a scheme based on a center of mass (COM) analogy, and a scheme based on deforming maps. In addition, several challenges in applying the proposed technique to real-world problems are outlined.","PeriodicalId":52254,"journal":{"name":"Journal of Verification, Validation and Uncertainty Quantification","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1115/1.4043652","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43736946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Verification and Validation of the FLAG Hydrocode for Impact Cratering Simulations 撞击坑模拟中FLAG代码的验证与验证

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2018-09-01 DOI: 10.1115/1.4042516

W. Caldwell, A. Hunter, C. Plesko, S. Wirkus

{"title":"Verification and Validation of the FLAG Hydrocode for Impact Cratering Simulations","authors":"W. Caldwell, A. Hunter, C. Plesko, S. Wirkus","doi":"10.1115/1.4042516","DOIUrl":"https://doi.org/10.1115/1.4042516","url":null,"abstract":"Verification and validation (V&V) are necessary processes to ensure accuracy of the computational methods used to solve problems key to vast numbers of applications and industries. Simulations are essential for addressing impact cratering problems, because these problems often exceed experimental capabilities. Here, we show that the free Lagrange (FLAG) hydrocode, developed at Los Alamos National Laboratory (Los Alamos, NM), can be used for impact cratering simulations by verifying FLAG against two analytical models of aluminum-on-aluminum impacts at different impact velocities and validating FLAG against a glass-into-water laboratory impact experiment. Our verification results show good agreement with the theoretical maximum pressures, with relative errors as low in magnitude as 1.00%. Our validation results demonstrate FLAG's ability to model various stages of impact cratering, with crater radius relative errors as low as 3.48% and crater depth relative errors as low as 0.79%. Our mesh resolution study shows that FLAG converges at resolutions low enough to reduce the required computation time from about 28 h to about 25 min. We anticipate that FLAG can be used to model larger impact cratering problems with increased accuracy and decreased computational cost on current systems relative to other hydrocodes tested by Pierazzo et al. (2008, “Validation of Numerical Codes for Impact and Explosion Cratering: Impacts on Strengthless and Metal Targets,” MAPS, 43(12), pp. 1917–1938).","PeriodicalId":52254,"journal":{"name":"Journal of Verification, Validation and Uncertainty Quantification","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1115/1.4042516","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48368305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Verification of Advective Bar Elements Implemented in the sierra/aria Thermal Response Code sierra/aria热响应代码中实现的Adventive条形元件的验证

IF 0.6

Journal of Verification, Validation and Uncertainty Quantification Pub Date : 2018-09-01 DOI: 10.1115/1.4041837

Brantley Mills, Adam C. Hetzler, Oscar Deng

引用次数: 1