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ASME ( American Society of Mechanical Engineers )
Description: The American Society of Mechanical Engineers (ASME) is a professional association that, in its own words, "promotes the art, science, and practice of multidisciplinary engineering and allied sciences around the globe" via "continuing education, training and professional development, codes and standards, research, conferences and publications, government relations, and other forms of outreach." ASME is thus an engineering society, a standards organization, a research and development organization, a lobbying organization, a provider of training and education, and a nonprofit organization. Founded as an engineering society focused on mechanical engineering in North America, ASME is today multidisciplinary and global.
Now showing items 1-10 of 177
Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem
Publisher: The American Society of Mechanical Engineers (ASME)
A Validation of Flare Combustion Efficiency Predictions From Large Eddy Simulations
Publisher: The American Society of Mechanical Engineers (ASME)
Verification Assessment of Piston Boundary Conditions for Lagrangian Simulation of Compressible Flow Similarity Solutions
Publisher: The American Society of Mechanical Engineers (ASME)
Special Issue: Sandia V&V Challenge Problem
Publisher: The American Society of Mechanical Engineers (ASME)
A New Extrapolation-Based Uncertainty Estimator for Computational Fluid Dynamics
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A new Richardson extrapolation-based uncertainty estimator is developed which utilizes a global order of accuracy. The most significant difference between the proposed uncertainty estimator (referred to as the global ...
Multiscale Validation and Uncertainty Quantification for Problems With Sparse Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Quantification of uncertainty in the simulation results becomes difficult for complex real-world systems with little or no experimental data. This paper describes a validation and uncertainty quantification (VUQ) approach ...
Mitigating Gibbs Phenomena in Uncertainty Quantification With a Stochastic Spectral Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The use of spectral projection-based methods for simulation of a stochastic system with discontinuous solution exhibits the Gibbs phenomenon, which is characterized by oscillations near discontinuities. This paper investigates ...
Definition and Implementation of a Method for Uncertainty Aggregation in Component-Based System Simulation Models
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Component-based system simulation models are used throughout all development phases for design and verification of both physical systems and control software, not least in the aeronautical industry. However, the application ...
Dynamics Model Validation Using Time-Domain Metrics
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Validation of dynamics model prediction is challenging due to the involvement of various sources of uncertainty and variations among validation experiments and over time. This paper investigates quantitative approaches for ...
A Robust Approach to Quantification of Margin and Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A systematic approach to defining margin in a manner that incorporates statistical information and accommodates data uncertainty but does not require assumptions about specific forms of the tails of distributions is ...