2-Day On-Site Training Course
Engineering systems must increasingly rely on computational simulation for predicted performance, reliability, and safety. Computational analysts, designers, decision makers, and project managers who rely on simulation must have practical techniques and methods for assessing simulation credibility. This short course presents modern terminology and effective procedures for verification of numerical simulations, validation of mathematical models, and uncertainty quantification of nondeterministic simulations. The techniques presented in this course are applicable to a wide range of engineering and science applications, including fluid dynamics, heat transfer, solid mechanics, and structural dynamics. The mathematical models considered are given in terms of partial differential or integral equations, formulated as initial and boundary value problems. The computer codes that implement the mathematical models can use any type of numerical method (e.g., finite volume, finite element) and can be developed by commercial, corporate, government, or research organizations. A framework is provided for incorporating a wide range error and uncertainty sources identified during the modeling, verification, and validation processes with the goal of estimating the total prediction uncertainty of the simulation. While the focus of the course is on modeling and simulation, experimentalists will benefit from a detailed discussion of techniques for designing and conducting high quality validation experiments. Application examples are primarily taken from the fields of fluid dynamics and heat transfer, but the techniques and procedures apply to all application areas in engineering and science. The course closely follows the course instructors’ book, Verification and Validation in Scientific Computing, Cambridge University Press (2010).
This course benefits model developers, computational analysts, code developers, software engineers, and experimentalists working with computational analysts. Managers directing simulation work and project engineers relying on computational simulations for decision-making will also find this course beneficial. The course will discuss the responsibilities of organizations and individuals serving in various positions where computational simulation software, mathematical models, and simulation results are produced. An undergraduate or advanced degree in engineering or the physical sciences is highly recommended. Training and experience in computational simulation of physical systems is also recommended.
The course is open to both members and non-members of NAFEMS.
Course attendees will be provided with a copy of the book Verification and Validation in Scientific Computing, Cambridge University Press (2010). The 780-page book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification, validation, and uncertainty quantification for models and simulations. The book contains several examples of the most common procedures in VVUQ, including an example of the design and execution of a high quality validation experiment. Attendees will also be provided with an electronic (PDF) file and color print copies of over 270 short course slides presented during the course.
The course is completely code independent, attendees are welcome to bring laptops to take notes, but they are not required.
The contents are presented in eight lectures, tentatively organized as shown. The two-day schedule allows for ample discussion and interaction with the instructors and other attendees. The instructors reserve the right to modify the contents to address the audience’s needs and preferences.
Lecture 1. Introduction, Background, and Motivation
Lecture 2. Terminology and Fundamental Concepts
Lecture 3: Code Verification
Lecture 4: Solution Verification
Lecture 5: Validation Experiments
Lecture 6: Model Accuracy Assessment
Lecture 7: Predictive Capability of Modeling and Simulation
Lecture 8: Final Topics
|V&V-SIMMsy9||Design a test for analysis validation purposes.|
|V&V-SIMMsy8||Formulate a series of smaller studies, benchmarks or experimental tests in support of a simulation modelling strategy.|
|V&V-SIMMsy7||Prepare a validation plan in support of a FEA study.|
|V&V-SIMMkn6||State simulation V&V principles|
|V&V-SIMMkn15||List relevant physical tests and their characteristics to calibrate or validate simuation.|
|V&V-SIMMev8||Train engineering staff in validation techniques|
|V&V-SIMMev7||Design appropriate verification and validation procedures in support of simulation.|
|V&V-SIMMev11||Design test/analysis correlation processes, and select analysis validation criteria.|
|V&V-SIMMev10||Assess model/analysis validity from test/analysis correlation studies|
|V&V-SIMMco9||Explain the term model calibration.|
|V&V-SIMMco8||Explain the term code verification.|
|V&V-SIMMco7||Explain the term solution verification.|
|V&V-SIMMco6||Explain the terms Verification and Validation.|
|V&V-SIMMco32||Understand simulation error assessment methodologies and the concept of simulation predictive maturity.|
|V&V-SIMMap6||Perform test /analysis correlation studies|
|V&V-SIMMap5||Perform model calibration from tests|
|V&V-SIMMap4||Perform basic model checks|
|V&V-SIMMap3||Conduct validation studies in support of simulation.|
|V&V-SIMMan7||Analyze test data to support validation activities|
|V&V-SIMMan6||Analyze simulation results to support validation activities.|
|PROBkn8||List types of uncertainty|
|PROBkn5||List typical random sampling techniques.|
|PROBkn3||List the characteristics of a typical probability distribution|
|PROBkn10||List the benefits from probabilistic finite element analysis.|
|PROBkn1||List typical sources of uncertainty in a reliability assessment|
|PROBco9||Explain the relationship between the Normal Probability Density Function and the Cumulative Density Function.|
|PROBco8||Explain how probabilistic sensitivities can be used to guide product design.|
|PROBco7||Describe how variability in an analysis input quantity may be characterised.|
|PROBco2||Describe the difference between epistemic and aleatoric uncertainty and how they can be quantified|
|PROBco11||Describe Monte Carlo simulation.|
|PROBco1||Explain the term non-deterministic.|
|MG-SIMMsy15||Implement efficient versioning process for the simulation tools used by your company.|
|MG-SIMMev9||Evaluate and benchmark external supplier validation approach|
|MG-SIMMev14||Assess simulation solution maturity and readiness levels for a new project.|
|MG-SIMMco33||Understand software versioning processes|
|MG-SIMMco1||Understand the need and relevance of analysis specifications.|
|MG-SIMMap25||Apply appropriate procedures for controlling the quality of simulation work|
|MG-SIMMap18||Monitor tool (code) verification for the relevant project and intended use|
|MESMev1||Select appropriate validation measures.|
|MESMco9||Discuss the uncertainties typically present in analyses and explain how these are handled.|
|FEAsy8||Prepare a validation plan in support of a FEA study.|
|FEAkn4||Define the meaning of adaptive mesh refinement|
|FEAkn13||State the word length or arithmetic precision of calculations for any system used.|
|FEAev5||Manage verification and validation procedures in support of FEA.|
|FEAco3||Explain the term solution residual.|
|FEAco12||Outline a common method employed to solve the large sets of sparse symmetric common in FEA.|
|CFDsy3||Formulate a plan to address the uncertainty in input data or modelling when using a CFD code for a design study.|
|CFDkn7||List the main sources of error and uncertainty that may occur in a CFD calculation.|
|CFDco12||Review the issues associated with the estimation of total uncertainty in a flow simulation.|
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Please note NAFEMS cancellation policy for all training courses is as follows:-
NAFEMS will discuss the possibility of transferring to an alternative event/course, however an administration charge will be applicable.
For full terms and conditions, click here. This policy is subject to change.
*Special discounts are being made available to members for this course. For more information on joining NAFEMS, please visit ourmembership section