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Talking Shop with Tony Abbey Episode 15 - Random response dynamic analysis - so what is a PSD curve? Due to circumstances beyond our control, we have had to cancel this episode, and will let everyone know the rescheduled date when available. We sincerely apologise for any inconvenience. NAFEMS is talking shop with Tony Abbey on a range of topics relevant to, and suggested by, the engineering analysis community. This free series is open to everyone , and we hope you can join us online. We kicked off each session with a brief presentation on the subject from Tony, and thereafter, open up the floor for written questions and thoughts from you, the audience. The sessions was moderated, allowing...more
Simulation Data Management – What About my Spreadsheets? An approach for capturing data from simulation and modeling spreadsheets Today, many manufacturers are facing tremendous challenges related to the storage and retrieval of simulation data. Product Data Management (PDM) systems are not capable of handling the terabytes of information which are generated as a result of performing these complex simulations. Simulation Data Management (SDM) provides a mechanism for the storage, management, and retrieval of this performance-related data. The Simulation Data Management working group addresses this breakthrough technology by helping the community better understand the benefits gained from implementing...more
Click to watch to recording of this webinar Click to access the slides for this webinar Simulation Data Management – What About my Spreadsheets? An approach for capturing data from simulation and modeling spreadsheets Today, many manufacturers are facing tremendous challenges related to the storage and retrieval of simulation data. Product Data Management (PDM) systems are not capable of handling the terabytes of information which are generated as a result of performing these complex simulations. Simulation Data Management (SDM) provides a mechanism for the storage, management, and retrieval of this performance-related data. The Simulation Data Management working group addresses this breakthrough...more
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What are the Chances of the Ship Snapping? Considerations When Using Probabilistic Analysis The NAFEMS Stochastics Technical Working Group In the April 2019 issue of NAFEMS BENCHMARK magazine , two challenge problems are presented. The first one consists of two normal distributions, producing an analytical (theoretical) solution. The second one contains several distributions (normal, uniform and lognormal), and therefore an exact solution is not available. At the NAFEMS World Congress 2019 these problems were discussed and a few solutions were presented. In this presentation these solutions and additional ones are discussed in combination with the theoretical background and the pitfalls...more
This presentation was made at CAASE18, The Conference on Advancing Analysis & Simulation in Engineering. CAASE18 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, to share experiences, discuss relevant trends, discover common themes, and explore future issues. Resource Abstract There is increasing recognition of the value of democratizing the use of engineering software into the hands of more users. The vision for achieving this next step in the use of CAE tools has many aspects and projected benefits. Companies want to enable more engineers to be able to perform sophisticated simulations. This requires easy to use apps that...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
This presentation was made at the NAFEMS Americas CAASE19 Virtual Conference. Abstract Mars2020, NASA’s next Mars Rover inherited a majority of Mars Science Laboratory (MSL)’s Flight hardware and software. It also inherited the technical baseline described in disparate presentations, spreadsheets, document repositories, emails, and intelligent minds that have long left the project. The Mars2020 Systems Engineering leadership wanted to define their technical baseline in an integrative, data driven manner, that would incorporate the inherited design with the new science instruments and Martian sample caching system. The team chose to leverage advancements in MBSE to garner a better understanding...more
AI (ML) in Engineering Design: Its Status and Readiness for it If you are a product design engineer, a CAE analyst, a test engineer tasked with using machine learning and wondering what that means, where you would start from; this panel will help you to navigate through your options. In this panel session, industry thought leaders in engineering data science will discuss how machine learning will benefit the engineering design process, how to identify the right projects to apply machine learning, discuss key challenges to overcome. Whether you are a product design engineer, a CAE analyst, a test engineer, or a leader tasked with using machine learning and need to know what that means and how...more
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