TY - JOUR
T1 - MASTODON
T2 - An Open-Source Software for Seismic Analysis and Risk Assessment of Critical Infrastructure
AU - Veeraraghavan, Swetha
AU - Bolisetti, Chandrakanth
AU - Slaughter, Andrew
AU - Coleman, Justin
AU - Dhulipala, Som
AU - Hoffman, William
AU - Kim, Kyungtae
AU - Kurt, Efe
AU - Spears, Robert
AU - Munday, Lynn
AU - Bolisetti, Chandrakanth
N1 - Funding Information:
MASTODON was developed in collaboration with Professor Jacobo Bielak at Carnegie Mellon University, Professors Youssef Hashash, Ozgun Numanoglu, and Omar Baltaji at the University of Illinois, Urbana-Champaign, Professors Abhinav Gupta and Saran Bodda at North Carolina State University, and Professors Andrew Whittaker and Sai Sharath Parsi at the University at Buffalo, State University of New York. The development team also received a great amount of support and advice from INL computational scientists, Benjamin Spencer, Jason Hales, Richard Martineau, Cody Permann, Derek Gaston, and Antonio Recuero. The MASTODON project is funded by the U.S. Department of Energy Office of Nuclear Energy through the Light Water Reactor Sustainability Program, Office of Technology Transitions, National Nuclear Safety Administration, Advanced Research Projects Agency, and INL’s Laboratory Directed Research and Development program. The contributions and financial support are gratefully acknowledged. We also thank the two anonymous reviewers for their valuable comments, which have improved the quality of this paper.
Publisher Copyright:
© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2021/7/3
Y1 - 2021/7/3
N2 - Seismic analysis and risk assessment of safety-critical infrastructure like hospitals, nuclear power plants, dams, and facilities handling radioactive materials involve computationally intensive numerical models and coupled multiphysics scenarios. They are also performed in a strict regulatory environment that requires high software quality assurance standards, and in the case of safety-related nuclear facilities, a conformance to the American Society of Mechanical Engineers Nuclear Quality Assurance (NQA-1) standard. This paper introduces the open-source finite-element software, MASTODON (Multi-hazard Analysis of Stochastic Time-Domain Phenomena), which implements state-of-the-art seismic analysis and risk assessment tools in a quality-controlled environment. MASTODON is built on MOOSE (Multi-physics Object-Oriented Simulation Environment), which is a highly parallelizable, NQA-1 conforming, coupled multiphysics, finite-element framework developed at Idaho National Laboratory. MASTODON is capable of fault rupture and source-to-site wave propagation using the domain reduction method, nonlinear site response, and soil-structure interaction analysis, implicit and explicit time integration, automated stochastic simulations, and seismic probabilistic risk assessment. When coupled with other MOOSE applications, MASTODON can also solve strongly and weakly coupled multiphysics problems. This paper presents a summary of the capabilities of MASTODON and some demonstrative examples.
AB - Seismic analysis and risk assessment of safety-critical infrastructure like hospitals, nuclear power plants, dams, and facilities handling radioactive materials involve computationally intensive numerical models and coupled multiphysics scenarios. They are also performed in a strict regulatory environment that requires high software quality assurance standards, and in the case of safety-related nuclear facilities, a conformance to the American Society of Mechanical Engineers Nuclear Quality Assurance (NQA-1) standard. This paper introduces the open-source finite-element software, MASTODON (Multi-hazard Analysis of Stochastic Time-Domain Phenomena), which implements state-of-the-art seismic analysis and risk assessment tools in a quality-controlled environment. MASTODON is built on MOOSE (Multi-physics Object-Oriented Simulation Environment), which is a highly parallelizable, NQA-1 conforming, coupled multiphysics, finite-element framework developed at Idaho National Laboratory. MASTODON is capable of fault rupture and source-to-site wave propagation using the domain reduction method, nonlinear site response, and soil-structure interaction analysis, implicit and explicit time integration, automated stochastic simulations, and seismic probabilistic risk assessment. When coupled with other MOOSE applications, MASTODON can also solve strongly and weakly coupled multiphysics problems. This paper presents a summary of the capabilities of MASTODON and some demonstrative examples.
KW - Seismic analysis
KW - external hazard
KW - probabilistic risk assessment
KW - site response analysis
KW - soil-structure interaction
UR - https://www.scopus.com/pages/publications/85094095755
U2 - 10.1080/00295450.2020.1807282
DO - 10.1080/00295450.2020.1807282
M3 - Article
AN - SCOPUS:85094095755
SN - 0029-5450
VL - 207
SP - 1073
EP - 1095
JO - Nuclear Technology
JF - Nuclear Technology
IS - 7
ER -