Adequacy evaluation of smoothed particle hydrodynamics methods for simulating the external-flooding scenario

Lin, Linyu; Montanari, Niels; Prescott, Steven; Sampath, Ram; Bao, Han; Dinh, Truc-Nam

doi:10.1016/j.nucengdes.2020.110720

Cited by 10 publications

(8 citation statements)

References 26 publications

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“…Details about SPH simulations and evidence collection are discussed in [52]. Since opposite conclusions are obtained from two numerical benchmarks, the PCMQBN framework is used to further refine the adequacy assessment with quantitative results.…”

Section: Discussionmentioning

confidence: 99%

“…where 𝑄𝑜𝐼 𝑝𝑟𝑒𝑑𝑠 represents the predicted quantity of interest by Neutrino, while 𝑄𝑜𝐼 𝑚𝑒𝑎𝑠 represents the measurements from experiments. More details about the accident scenario, PIRT process, performance measurement standards, accuracy and scaling analysis can be found in [52]. Linyu Lin; VVUQ-20-1017…”

Section: Adequacy Assessment For Sph Methods By Pcmqbnmentioning

confidence: 99%

“…To illustrate the process and help the understanding, a case study is prepared for assessing the simulation adequacy for Smoothed Particle Hydrodynamics (SPH) methods in external-flooding scenarios. A validation process has been performed and discussed in [52]. The current case study is at the scoping stage, and the decision parameters are subject to sensitivity analysis.…”

Section: Phase Of Simulation Adequacy Assessmentmentioning

confidence: 99%

“…[𝑆𝑐 𝑀𝑜𝑑 𝐾 ] 𝐸𝑋𝑃 and [𝑆𝑐 𝑀𝑜𝑑 𝐾 ] 𝐴𝑃𝑃 are scaling Linyu Lin; VVUQ-20-1017 parameters in experimental and prototypical conditions respectively. A scaling analysis has been performed and discussed in [52]. A dimensionless number 𝑥 * is suggested for the dam break benchmark according to Eq.…”

Section: Pcmqbn Adequacy Assessmentmentioning

confidence: 99%

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Predictive Capability Maturity Quantification Using Bayesian Network

Lin

Dinh

2020

Journal of Verification, Validation and Uncertainty Quantification

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In nuclear engineering, modeling and simulations (M&Ss) are widely applied to support risk-informed safety analysis. Since nuclear safety analysis has important implications, a convincing validation process is needed to assess code adequacy, i.e. the degree to which M&S tools can adequately represent the system quantities of interest. However, due to data gaps, validation becomes a decision-making process under uncertainties. Expert knowledge and judgments are required to collect, choose, characterize, and integrate evidence toward the final adequacy decision. However, in validation frameworks CSAU: Code Scaling, Applicability, and Uncertainty (NUREG/CR-5249) and EMDAP: Evaluation Model Development and Assessment Process (RG 1.203), such a decision-making process is largely implicit and obscure. When scenarios are complex, knowledge biases and unreliable judgments can be overlooked, which could increase uncertainty in the code adequacy result and the corresponding risks. Therefore, a framework is required to formalize the decision-making process for code adequacy in a practical, transparent, and consistent manner. This paper suggests a framework - "Predictive Capability Maturity Quantification using Bayesian network (PCMQBN)" - as a quantified framework for assessing code adequacy based on information collected from validation activities. A case study is prepared for evaluating the adequacy of a Smoothed Particle Hydrodynamic code in predicting the hydrodynamic forces onto static structures during an external flooding scenario. Comparing to the qualitative and implicit adequacy assessment, PCMQBN is able to improve confidence in the code adequacy result and to reduce expected loss in the risk-informed safety analysis.

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Section: Discussionmentioning

confidence: 99%

Section: Adequacy Assessment For Sph Methods By Pcmqbnmentioning

confidence: 99%

Section: Phase Of Simulation Adequacy Assessmentmentioning

confidence: 99%

Section: Pcmqbn Adequacy Assessmentmentioning

confidence: 99%

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Predictive Capability Maturity Quantification Using Bayesian Network

Lin

Dinh

2020

Journal of Verification, Validation and Uncertainty Quantification

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“…Virtual disaster scenes in three dimensions break through the deficiencies of 2D maps in the representation of spatial dimensions and provide a more intuitive option for understanding and analyzing the real world. Some researchers have applied the smoothed particle hydrodynamics (SPH) method (Lin et al, 2020) and virtual reality platforms (Winkler, Zischg, & Rauch, 2018) to simulate free surface motion and 3D flood dynamics in large‐ and small‐scale urban scenes through computer graphics. Moreover, the natural environment has been analyzed by the volume of fluid (VOF) method (Munoz & Constantinescu, 2018).…”

Section: Related Work: Progress and Challengesmentioning

confidence: 99%

Investigations of disaster information representation from a geospatial perspective: Progress, challenges and recommendations

Zhu

Pirasteh

et al. 2022

Transactions in GIS

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The complexity of disasters creates a significant challenge in the knowledge acquisition of the public. With the development of geospatial technologies, maps, geographic information science, and virtual geographic environments are widely used to represent disaster information and help the public better understand disaster risk. However, the application, design, and specific challenges have not been investigated comprehensively in disaster information representation thus far. This article presents the weaknesses and strengths of the existing methods for representing disaster information in recent decades, and then gives some basic ideas for efficient disaster knowledge communication. The objective of this article is to provide a clear image that improves users’ understanding of disaster information and bridge the communication gaps in disaster management.

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Effectiveness analysis of multiple kinetic impacts of near-Earth asteroids

Gao

et al. 2022

Advances in Space Research

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Adequacy evaluation of smoothed particle hydrodynamics methods for simulating the external-flooding scenario

Cited by 10 publications

References 26 publications

Predictive Capability Maturity Quantification Using Bayesian Network

Predictive Capability Maturity Quantification Using Bayesian Network

Investigations of disaster information representation from a geospatial perspective: Progress, challenges and recommendations

Effectiveness analysis of multiple kinetic impacts of near-Earth asteroids

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