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101.
102.
Verification and validation benchmarks 总被引:3,自引:0,他引:3
Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest. 相似文献
103.
T. Sajith Mathews Author Vitae U. Parthasarathy C. Senthil Kumar 《Nuclear Engineering and Design》2008,238(9):2369-2376
Passive systems are increasingly deployed in nuclear industry with an objective of increasing reliability and safety of operations with reduced cost. Methods for assessing the reliability of thermal-hydraulic passive systems, that is systems with moving working fluid, address the issues in natural buoyancy-driven flow that could result in a failure to meet the design safety limits under accident scenarios. This is referred as design functional reliability. This paper presents the results of functional reliability analysis carried out for the passive Safety Grade Decay Heat Removal System (SGDHRS) of Indian Prototype Fast Breeder Reactor (PFBR). The analysis is carried out based on the overall approach reported in the Reliability Methods for Passive System (RMPS, European Commission) project. Functional failure probability is calculated using Monte-Carlo method and also with method of moments. 相似文献
104.
边缘模糊会导致二维条码识别率下降,提出了一种基于数学形态学边缘检测的二维条码识别算法,该算法最大的特点是用具有特定形态的结构元素去度量和提取图像中的对应形状以达到对图像分析和识别的目的,从而有效地降低边缘模糊对条码识别的影响。选取PDF417二维条码为应用对象,采用基于数学形态学对二维条码的识别算法选择合适的结构元素。实验结果表明与传统的几种边缘检测算法相比,基于数学形态学对二维条码的识别算法能够更有效地识别条码边界,显著地提高了条码的识别率。 相似文献
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For the calculation of nonpremixed turbulent flames with thin reaction zones the joint probability density function (PDF) of the mixture fraction and its dissipation rate plays an important role. The corresponding PDF transport equation involves a mixing model for the closure of the molecular mixing term. Here, the parameterized scalar profile (PSP) mixing model is extended to provide the required joint statistics. Model predictions are validated using direct numerical simulation (DNS) data of a passive scalar mixing in a statistically homogeneous turbulent flow. Comparisons between the DNS and the model predictions are provided, which involve different initial scalar-field lengthscales. 相似文献
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二维码防伪技术在可变数据印刷中的应用 总被引:9,自引:9,他引:0
分析了二维码的防伪原理,提出了在可变数据印刷中应用二维码进行防伪的方案,在完成基于可变数据印刷的二维码的生成和识别实验的基础上,设计实验比较得出了不同二维码(PDF417码与QR码)的防伪特性的差异。理论分析及实验结果表明,利用二维码对可变数据印刷进行防伪的方案是可行的,并且不同二维码的防伪特性存在差异,在实际应用中可以根据具体的要求选用不同的二维码。 相似文献
110.
Jui-Sheng Chou 《International Journal of Project Management》2011,29(6):706-717
Despite the extensive use of simulation in management, the continuous simulation model for cost estimation remains unexploited, especially for construction engineering and management. This study introduces streamlining Monte Carlo simulation procedures with evaluation of stochastic processes and input probability distribution selection via hypothesis testing, and specification of correlations between simulated variates. By using self-developed algorithms and a spreadsheet-add-on program, this investigation uses historical construction projects as case study data to create an early-stage cost distribution for budget allocation. While establishing the applicability of the proposed simulation procedures, this study demonstrates that the simulated cost results present superior simulation accuracy in addition to separating the principal work items and unit price component model. Generally, the precision and absolute error rates fall into acceptable ranges when the proposed systematic simulation procedures are adopted. The cost simulation approach offers a simplified decision tool for fairly assessing construction cost and uncertainties based on the experienced judgment of project managers. 相似文献