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The presentation titled "AI in Engineering & Impact on Validation: Standards and Best Practices for Ensuring the Credibility of Numerical Simulations" was delivered by Vivien Clauzon and Raphaël Meunier. It focused on integrating Artificial Intelligence (AI) in engineering, particularly in high-performance computing and numerical engineering at Michelin. The presentation highlighted Michelin's three domains for sustainable growth: Tires, Around Tires, and Beyond Tires, focusing on a range of services from automobile to mobility intelligence. The speakers emphasized Michelin's approach to ensuring quality products, incorporating knowledge, product specifications, design, labs, and market considerations....more
Uncertain Knowledge: A Challenge Problem 7-minute read NAFEMS Stochastics Working Group - June 16th 2022 The NAFEMS Stochastics Working Group (SWG) has developed a guide entitled "What is Uncertainty Quantification (UQ)?" [1] describing the basic steps and definitions of Uncertainty Quantification, it has also hosted several discussions and webinars around the topic. Recently, the group updated the definitions of the Probabilistic Analysis [2] as part of the NAFEMS Professional Simulation Engineer (PSE) certification and is now working on developing related training and educational resources. In addition, the SWG has launched several challenge problems [3] in the area of probabilistic analysis...more
NAFEMS Americas hosted its biennial regional conference, formerly known as CAASE, on June 21-23, 2022, face-to-face, at the Indiana Convention Center in Indianapolis, Indiana! The NAFEMS Americas Regional Conference 2022 (NRC22 Americas) brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, sharing experiences, discussing relevant trends, discovering common themes, and exploring future issues, including: What is the future for engineering analysis and simulation? Where will it lead us in the next decade? How can designers and engineers realize its full potential? What are the business, technological,...more
These slides were presented at the " Simulation Engineering in the Automotive Industry " Seminar, held in Troy, MI, USA, on 6th of November....more
This presentation was made at the 2019 NAFEMS World Congress in Quebec Canada Resource Abstract In a Comprehensive Nuclear-Test-Ban Treaty (CTBT) era, simulation has widespread use across Physics, Material Science and Engineering at the UK Atomic Weapons Establishment (AWE). The engineering analysis team covers a wide scope of simulation topics including FEA/FVA of solid mechanics, structural dynamics, hypersonic CFD, thermal and blast effects. This in turn creates a broad range of data from a variety of engineering software tools. With increasing emphasis on coupled Multiphysics techniques and parameter sensitivity studies, an enormous amount of data is generated and is increasingly more difficult...more
Due to the evolving nature of the engineering analysis and simulation market this publication no longer represents current best practice and has been archived. The document may be of historical interest and is therefore still available for purchase. This guide is aimed at system managers who are implementing and supporting data exchange by purchasing STEP interfaces and users who want to communicate with customers and/or suppliers about using STEP for data exchange. What the guide covers: What STEP interfaces are available What the parts and conformance classes cover How to choose which part and conformance class to use. During the course of engineering analysis there are many information...more
NAFEMS Americas and Digital Engineering (DE) teamed up (once again) to present CAASE, the (now Virtual) Conference on Advancing Analysis & Simulation in Engineering, on June 16-18, 2020! CAASE20 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including: -What is the future for engineering analysis and simulation? -Where will it lead us in the next decade? -How can designers and engineers realize its full potential? What are the business, technological, and human enablers that will take past successful developments...more
NAFEMS Americas and Digital Engineering (DE) teamed up (once again) to present CAASE, the (now Virtual) Conference on Advancing Analysis & Simulation in Engineering, on June 16-18, 2020! CAASE20 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including: -What is the future for engineering analysis and simulation? -Where will it lead us in the next decade? -How can designers and engineers realize its full potential? What are the business, technological, and human enablers that will take past successful developments...more
NAFEMS Americas and Digital Engineering (DE) teamed up (once again) to present CAASE, the (now Virtual) Conference on Advancing Analysis & Simulation in Engineering, on June 16-18, 2020! CAASE20 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including: -What is the future for engineering analysis and simulation? -Where will it lead us in the next decade? -How can designers and engineers realize its full potential? What are the business, technological, and human enablers that will take past successful developments...more
Engineering sciences and technology, as any other branch of sciences and technology, is experiencing the data revolution. In the past models were more abundant than data, too expensive to be collected and analyzed at that time. However, nowadays, the situation is radically different, data is much more abundant (and accurate) than existing models, and a new paradigm is emerging in engineering sciences and technology. Advanced clustering techniques not only helps engineers and analysts, they become crucial in many areas where models, approximation bases, parameters, … are adapted depending on the local (in space and time senses) state of the system. Machine learning is also helping for extracting...more
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