Short Training Courses

T​raining

T​he NAFEMS World Congress 2023 will give you access to a range of short-training courses on a number of different topics.


How to Implement a Modelling and Simulation Strategy

T​his course will cover a number of topics, including:
  • Why do we need a strategy for modelling and simulation?
  • Trends challenges and opportunities for Modelling and Simulation
  • Organisation leadership questions for M&S
  • Establishing product and business goals for M&S
  • The critical elements necessary for an effective and efficient modelling and simulation capability
  • The simulation strategy framework
  • Getting organised for collaboration
  • Assessing your current state. Maturity assessment.
  • Establishing a business case.
  • Practicalities of implementation.
Trainer: Andy Richardson (Phronesim)

Introduction to SPDM - the Foundation for Digital Engineering

There is broad agreement that model and simulation-based development is the future of engineering, and that models and data must be managed on a digital platform to provide through-life support. The US Department of Defence mandated Digital Engineering for all programs in 2018, so all organisations wishing to work with the DoD need to adopt model-based system definition and simulation.

Simulation Process and Data Management is simply the technology developed to manage models and simulation data on a digital platform. SPDM has been deployed, particularly by organisations in Germany and continental Europe, for over 20 years. SPDM technology is well defined and understood but overall adoption has been slow.

This course provides an introduction to SPDM technology and provides feedback from numerous early adopters across industry sectors and organisation sizes. It describes how both analysts and organisations benefit from the management of simulations and models on a digital platform. It describes how SPDM adheres to FAIR principles for data management: Findable, Accessible, Interoperable, Re-useable.

Trainer: Mark Norris (theSDMConsultancy)


CFD for Structural Designers and Analysts

Structural engineers often need to resort to more sophisticated thermal fluid simulations to obtain boundary conditions, loading, performance, etc. for their designs and analyses. This course aims to introduce the essential principles of fluid dynamics, important flow phenomena, and basics of CFD process to structural engineers for their multidisciplinary problems. Adapted from a NAFEMS e-learning course, CFD for Structural Designers and Analysts, this condensed version provides a brief overview on important concepts and principles of fluid dynamics, CFD, turbulence, and heat transfer relevant to structural analyses will be discussed through simple examples and case studies.

Trainer: Kamran Fouladi (NAFEMS)


Probabilistic Analysis Methods and Approaches for PSE in Probabilistic Analysis

The NAFEMS Stochastics Working Group recently updated the competencies for the Professional Simulation Engineer (PSE) in Probabilistic Analysis. This training supports gaining understanding and knowledge for several key PSE competencies. This session will include an overview of the PSE competencies in probabilistic analysis, why uncertainty matters in engineering analysis, problem formulation (random variables and limit-states), select probabilistic methods, and examples. This is intended as an introductory course but content will be applicable for those with probabilistic analysis backgrounds and engineering managers. Details about some of the topics that will be covered are described below. Probability density functions (PDF) such as normal, lognormal, Weibull, and uniform are used to model uncertainties and variations in model inputs. The integral of the PDF is the cumulative distribution function (CDF), which is also a critical element in the application and understanding of probabilistic methods and presenting probabilistic solutions. Understanding the PDF and CDF is a key PSE competency.

Several probabilistic methods will be introduced such as Monte Carlo sampling, Latin hypercube sampling, and first and second order reliability methods (FORM/SORM). Problem formulation in terms of a limit-state will be explained. A critical element of applying these methods is understanding their advantages for certain classes of problems and how to assess errors in the solutions. In addition, since the engineering models will require multiple solutions, the efficiency of each method will be discussed in terms of the number of function evaluations. Results from the 2019 stochastics challenge problem will be used to illustrate different probabilistic methods and their application to different types of functions. Case studies and examples will be provided to show problem formulation and solution strategies with an emphasis on communicating probabilistic results for decision making. Case studies will include areas of aerospace, automotive, and geomechanics with examples of using finite element models as the performance function to define a limit-state.

Trainers: David Riha (SwRI), Alexander Karl (Rolls - Royce)


Introduction to Practical CFD

This course provides a view into practical application of CFD in real life applications and the challenges faced due to presence of turbulence, heat transfer, phase changes, and movement of boundaries. Adapted from a NAFEMS e-learning introductory CFD course, this condensed version briefly describes the steps in the CFD process and provides benefits and issues for using CFD analysis in understanding of complicated flow phenomena and its use in the design process. Through a simple and moderately technical approach, this course covers topics such as the role of CFD, basic formulation, governing equations and use of model equations, steps in CFD process, need for turbulence modeling, and CFD best practices.

Trainer: Kamran Fouladi (NAFEMS)


Elements of Turbulence Modeling

Successful application of turbulence modeling requires engineering judgment depending on physics of the flow, accuracy, project requirements, turnaround time, and available computational resources. This course is focused on understanding turbulence, need for turbulence modeling, and various modeling approaches. Adapted from a NAFEMS e-learning course, Elements of Turbulence Modeling, this condensed version briefly covers topics such as turbulent flow characteristics, eddies in turbulent flows, turbulence production, energy cascade, scales in turbulent flows, simulation strategies, principles of turbulence modeling, wall effects and choosing a model.

Trainer: Kamran Fouladi (NAFEMS)


Polymer Testing and Modeling for FE Simulation

This course is intended for finite element engineers who simulate polymers and are interested in advancing their modeling skills beyond hyperelastic material models and rate-independent plasticity. We will review polymer behavior, fundamental continuum mechanics for material modeling, selecting material parameters, and case studies on hyperelastic, viscoelastic, and viscoplastic material models. We will also discuss material model validation and its importance in material testing and material model selection.

T​rainer: Sean S. Teller (Veryst Engineering)


Fatigue and Fracture Mechanics in FEA - live online training

This short course is based on the successful full e-Learning course. The key elements broken out and emphasized here are the fundamentals of fatigue analysis. An overview is then given of high cycle fatigue. This is contrasted with low cycle strain-based fatigue analysis. Two important topics are the effect of mean stress and the influence of notches. A taste of more complex fatigue scenarios is given, including proportional and multiaxial loading. Finally, a brief overview of fracture mechanics is provided. Emphasis is given to how each of these three fundamental methods each fit into the strategy for fatigue and damage tolerance analysis.

T​rainer: Tony Abbey (FETraining)


Non-linear FEA - live online training

Many problems facing designers and engineers are nonlinear in nature. The response of a structure cannot always be assessed using linear assumptions. Nonlinear behavior can take many forms and can be bewildering to the newcomer. All physical systems in the real world are inherently nonlinear in nature. One of the most difficult tasks facing an engineer is to decide whether a nonlinear analysis is really needed and if so what degree of nonlinearity should be applied. The objective of this course, which is consist of extracts from the full e-Learning course is to break down the nonlinear problem into clearly defined steps, give an overview of the physics involved and show how to successfully implement practical solutions using Finite Element Analysis.

T​rainer: Tony Abbey (FETraining)


Dynamic Analysis using FEA - live online training

This short course extracts some of the key learning aspects of the full e-Learning course. This includes a strong understanding of dynamic modal characteristics and evaluation techniques. Questions such as the range of frequencies and identifying important frequencies are addressed. A concise overview of the important parameters and workflow to be used in both transient and frequency response analysis are presented. Examples include; effective time step and duration prediction, frequency response output fidelity. A summary of the important checks is provided.

T​rainer: Tony Abbey (FETraining)


Effective Post-Processing in FEA - live online training

Understanding the implications of a stress state is far from trivial. This specially prepared short course reviews the background to what exactly stress is, and how to best present this in result format. In many ways understanding forces, through free body diagrams, is the key to understanding resultant stress distributions. Stresses then naturally follow forces. Examples are shown of using cartesian stress components, local coordinate systems, principal stresses and von Mises stresses in a logical workflow for stress investigation.

T​rainer: Tony Abbey (FETraining)

 

P​latinum Sponsors

Dassault Systèmes
Hexagon

Gold Sponsors

ANSYS
TotalCAE
TotalCAE

Silver Sponsors

Digital Engineering

Media Sponsor

Digital Engineering

In-kind Sponsor

Digital Engineering

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