| Series of Semi-Markov Processes to Model Infrastructure Resilience under Multihazards SLN Dhulipala, MM Flint Reliability Engineering and System Safety 193, 106659, 2020 | 43 | 2020 |
| Active learning with multifidelity modeling for efficient rare event simulation SLN Dhulipala, MD Shields, BW Spencer, C Bolisetti, AE Slaughter, ... Journal of Computational Physics, 2022 | 26 | 2022 |
| A Markov Framework for Generalized Post-Event Infrastructure Recovery Modeling: From Single to Multihazards SLN Dhulipala, HV Burton, H Baroud Structural Safety, 2021 | 25 | 2021 |
| Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active Learning, Multifidelity Modeling, and Subset Simulation SLN Dhulipala, MD Shields, P Chakroborty, W Jiang, BW Spencer, ... Reliability Engineering and System Safety 226, 108693, 2022 | 20 | 2022 |
| MASTODON: an open-source software for seismic analysis and risk assessment of critical infrastructure S Veeraraghavan, C Bolisetti, A Slaughter, J Coleman, S Dhulipala, ... Nuclear Technology 207 (7), 1073-1095, 2021 | 17 | 2021 |
| Computation of vector hazard using salient features of seismic hazard deaggregation SLN Dhulipala, A Rodriguez-Marek, MM Flint Earthquake Spectra 34 (4), 1893-1912, 2018 | 17 | 2018 |
| A site-consistent method to quantify sufficiency of alternative IMs in relation to PSDA SLN Dhulipala, A Rodriguez-Marek, R Shyam, MM Flint Earthquake Engineering and Structural Dynamics 47 (2), 377-396, 2018 | 17 | 2018 |
| Developing a Decision Framework for Multi-Hazard Design of Resilient, Sustainable Buildings M Flint, SLN Dhulipala, Y Shahtaheri, H Tahir, T Ladipo, MR Eatherton, ... 1st International conference on natural hazards and Infrastructure (ICHONIC2016), 2016 | 17 | 2016 |
| MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations AE Slaughter, ZM Prince, P German, I Halvic, W Jiang, BW Spencer, ... SoftwareX 22, 101345, 2023 | 16 | 2023 |
| Accelerated statistical failure analysis of multifidelity TRISO fuel models SLN Dhulipala, W Jiang, BW Spencer, JD Hales, MD Shields, ... Journal of Nuclear Materials 563, 153604, 2022 | 15 | 2022 |
| Efficient high-fidelity TRISO statistical failure analysis using Bison: Applications to AGR-2 irradiation testing W Jiang, G Singh, JD Hales, A Toptan, BW Spencer, SR Novascone, ... Journal of Nuclear Materials 562, 153585, 2022 | 15 | 2022 |
| Development, verification, and validation of comprehensive acoustic fluid‐structure interaction capabilities in an open‐source computational platform SLN Dhulipala, C Bolisetti, LB Munday, WM Hoffman, CC Yu, FUH Mir, ... Earthquake Engineering & Structural Dynamics 51 (10), 2188-2219, 2022 | 10 | 2022 |
| Dysfunctionality Hazard Curve: A Risk-Based Tool to Support the Resilient Design of Systems Subjected to Multihazards SLN Dhulipala ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part-A …, 2020 | 10 | 2020 |
| Multiscale-informed modeling of high temperature component response with uncertainty quantification LB Munday, SLN Dhulipala, SA Pitts, A Casagranda, BW Spencer, ... Idaho National Lab.(INL), Idaho Falls, ID (United States); Los Alamos …, 2020 | 6 | 2020 |
| Intensity Measure Adequacy Assessment for Nonlinear Site Response usingInformation Theory SLN Dhulipala, A Rodriguez-Marek, M Bahrampouri Soil Dynamics and Earthquake Engineering 134, 106144, 2020 | 6 | 2020 |
| Bayesian Methods for Intensity Measure and Ground Motion Selection in Performance-Based Earthquake Engineering SLN Dhulipala Virginia Tech, 2019 | 6 | 2019 |
| Importance of Intensity Measure sufficiency for structural seismic demand hazard analysis SLN Dhulipala, A Rodriguez-Marek, MM Flint National Conference on Earthquake Engineering 2018, 2018 | 6 | 2018 |
| Seismic Risk Assessment of Safety-Critical Nuclear Facilities for the Purpose of Risk-Informed Periodic Re-evaluation SLN Dhulipala, C Bolisetti, R Yorg, P Hashimoto, J Coleman, M Cox Nuclear Technology, 2020 | 5 | 2020 |
| General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation P Chakroborty, SLN Dhulipala, Y Che, W Jiang, BW Spencer, JD Hales, ... Journal of Engineering Mechanics 149 (12), 04023096, 2023 | 4 | 2023 |
| Efficient Bayesian Inference with Latent Hamiltonian Neural Networks in No-U-Turn Sampling S Dhulipala, Y Che, M Shields Journal of Computational Physics, 2023 | 4 | 2023 |
Benjamin SpencerIdaho National Laboratory在 inl.gov 的电子邮件经过验证
