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Future development of new mechanical structures, materials systems, and manufacturing technologies will rely heavily on predictive computational modeling. Verification and validation (V&V), in general terms, verifies that the computational model accurately represents the underlying mathematical model and validates the degree to which the computational model and code accurately represent the real or physical world application space. V&V is an essential process to ensure reasonable accuracy, risk mitigation, and associated uncertainty quantification of predictive computational models, in order to deliver intended outcomes and reduce time and costs for developing new materials, products, and manufacturing procedures. However, robust V&V is currently largely underutilized, as indicated by the adoption of rigorous V&V in only a relatively limited number of communities. “Accelerating the Broad Implementation of Verification & Validation in Computational Models of the Mechanics of Materials and/or Structures” is a 2020 science and technology accelerator study report by TMS that recognizes V&V’s potential to deliver tremendous efficiencies and technological advancements. The report discusses the V&V value proposition, outlines recommended practices, and provides detailed action plans that are designed to support the progress of V&V in the mechanics of materials and structures, as well as related communities, and enable rapid adoption across diverse research and industrial sectors. TMS has undertaken this study on behalf of the National Science Foundation.
This second study and report in the V&V series builds upon the data and analysis presented in “Verification and Validation of Computational Models Associated with the Mechanics of Materials” that TMS published in 2019.
- Defines the value proposition and reasoning for accelerating robust and widespread V&V adoption in the solid mechanics, materials science and engineering, and closely related communities.
- Provides some recommended practices, specifically designed for computational and experimental researchers and engineers working with computational models of the mechanics of materials and/or structures.
- Recommends new challenge problems and sustainable, large-scale collaborative funding programs to accelerate V&V adoption.
- Proposes symposia, workshops, and/or conferences related to addressing V&V strategies associated with computational models of the mechanics of materials and/or structures.
- Presents specific strategies for training and curricula development needed to support V&V adoption and implementation.