REVEAL: An Extensible Reduced Order Model Builder for Simulation and Modeling

Journal Article · Tue Apr 30 04:00:00 EDT 2013 · Computing in Science & Engineering, 16(2):44-53

DOI:https://doi.org/10.1109/MCSE.2013.46· OSTI ID:1132693

Agarwal, Khushbu; Sharma, Poorva; Ma, Jinliang; Lo, Chaomei; Gorton, Ian; Liu, Yan

Many science domains need to build computationally efficient and accurate representations of high fidelity, computationally expensive simulations. These computationally efficient versions are known as reduced-order models. This paper presents the design and implementation of a novel reduced-order model (ROM) builder, the REVEAL toolset. This toolset generates ROMs based on science- and engineering-domain specific simulations executed on high performance computing (HPC) platforms. The toolset encompasses a range of sampling and regression methods that can be used to generate a ROM, automatically quantifies the ROM accuracy, and provides support for an iterative approach to improve ROM accuracy. REVEAL is designed to be extensible in order to utilize the core functionality with any simulator that has published input and output formats. It also defines programmatic interfaces to include new sampling and regression techniques so that users can ‘mix and match’ mathematical techniques to best suit the characteristics of their model. In this paper, we describe the architecture of REVEAL and demonstrate its usage with a computational fluid dynamics model used in carbon capture.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1132693
• Report Number(s): PNNL-SA-90857; AA9010100
• Journal Information: Computing in Science & Engineering, 16(2):44-53, Journal Name: Computing in Science & Engineering, 16(2):44-53
• Country of Publication: United States
• Language: English

Related Subjects

Surrogate model
reduced order model
sensitivity analysis
simulation