Publications

san Marchi, C., Ronevich, J., Schroeder, B.B., Davis, B.C., & Davis, B.C. (2024). Hydrogen pressure cycling of subscale pipes to simulate full-scale testing of transmission pipelines [Presentation]. 10.2172/2589670

Schroeder, B.B., Brooks, D.M., & Brooks, D.M. (2024). Uncertainty Quantification and Sensitivity Analysis for Quantitative Risk Assessments of Hydrogen Infrastructure. 10.2172/2463031

Schroeder, B.B., san Marchi, C., Ronevich, J., Devin, M.C., Duell, J., Potts, S., & Potts, S. (2024). Utilizing Probabilistic Analyses to Explore Performance Margins of Natural Gas Infrastructure for the Transportation and Delivery of Hydrogen and Hydrogen Blends [Conference Proceeding]. https://www.osti.gov/biblio/2564040

Schroeder, B.B. (2024). An Overview of the Hydrogen Extremely Low Probability of Rupture (HELPR) Toolkit for Probabilistic Structural Integrity Assessments When Transporting Hydrogen in Natural Gas Infrastructure [Presentation]. 10.2172/2586349

san Marchi, C., Ronevich, J., Schroeder, B.B., Davis, B.C., & Davis, B.C. (2024). HYDROGEN PRESSURE CYLCING OF SUBSCALE PIPES TO SIMULATE FULL-SCALE TESTING OF TRANSMISSION PIPELINES [Conference Paper]. Proceedings of the Biennial International Pipeline Conference, IPC. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85213519868&origin=inward

Schroeder, B.B., san Marchi, C., Ronevich, J., Duell, J., Potts, S., & Potts, S. (2024). UTILIZING PROBABILISTIC ANALYSES TO EXPLORE PERFORMANCE MARGINS OF NATURAL GAS INFRASTRUCTURE FOR THE TRANSPORT AND DELIVERY OF HYDROGEN AND HYDROGEN BLENDS [Presentation]. American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP. 10.2172/2585931

Ehrhart, B.D., Hecht, E.S., Schroeder, B.B., Groth, K.M., Reynolds, J.T., Blaylock, M.L., Carrier, E.E., & Carrier, E.E. (2023). Hydrogen Plus Other Alternative Fuels Risk Assessment Models (HyRAM+) Version 5.1 Technical Reference Manual. 10.2172/2369637

Ehrhart, B.D., Schroeder, B.B., Hecht, E.S., & Hecht, E.S. (2023). Risk Sensitivity Study as the Basis for Risk-Informed Consequence-Based Setback Distances for Liquid Hydrogen Storage Systems [Conference Proceeding]. https://www.osti.gov/biblio/2431631

Hecht, E.S., Ehrhart, B.D., Schroeder, B.B., & Schroeder, B.B. (2023). Methodology for consequence-based setback distance calculations for bulk liquid hydrogen storage systems [Conference Proceeding]. https://www.osti.gov/biblio/2431618

Tencer, J.T., Rojas, E., Schroeder, B.B., & Schroeder, B.B. (2023). Network Uncertainty Quantification for Analysis of Multi-Component Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 9(2). 10.1115/1.4055688

Schroeder, B.B., san Marchi, C., Dingreville, R., Ronevich, J., & Ronevich, J. (2023). Probabilistic Fracture Mechanics Toolkit for Hydrogen Blends in Natural Gas Infrastructure [Conference Presentation]. 10.2172/2431180

Ehrhart, B.D., Hecht, E.S., Schroeder, B.B., & Schroeder, B.B. (2023). Technical Justifications for Liquid Hydrogen Exposure Distances. 10.2172/2369640

Neal, K.D., Subramanian, A., Mahadevan, S., Mullins, J.G., Schroeder, B.B., & Schroeder, B.B. (2022). Model Form Error Correction in Computational Simulations [Conference Presentation]. 10.2172/2005644

Hecht, E.S., Ehrhart, B.D., Schroeder, B.B., Lafleur, A., Farese, D., Miller, D., Drube, T., Trivedi, M., & Trivedi, M. (2022). Basis for Updated Bulk Liquid Hydrogen Separation Distances in NFPA 2 [Conference Presentation]. 10.2172/2004745

Ehrhart, B.D., Hecht, E.S., Schroeder, B.B., & Schroeder, B.B. (2022). Setback Distances for Liquefied Hydrogen Stations [Conference Presentation]. 10.2172/2004523

Ehrhart, B.D., Schroeder, B.B., Hecht, E.S., & Hecht, E.S. (2022). Quantitative Risk Assessment Sensitivity Study as the Basis for Risk-Informed Consequence-Based Setback Distance Requirements for Liquid Hydrogen Storage Systems [Conference Presentation]. 10.2172/2003757

Roberts, S.A., Donohoe, B.D., Martinez, C., Krygier, M., Hernandez-Sanchez, B.A., Foster, C.W., Collins, L.N., Greene, B., Noble, D.R., Norris, C., Potter, K.M., Roberts, C., Neal, K.D., Bernard, S.R., Schroeder, B.B., Trembacki, B., Labonte, T., Sharma, K., Ganter, T., … Smith, M.D. (2021). Credible, Automated Meshing of Images (CAMI) [Presentation]. https://www.osti.gov/biblio/1900115

Silva, H., Mills, B., Schroeder, B.B., Keedy, R.M., Smith, K.D., & Smith, K.D. (2021). Defining Computational Emissivity Uncertainty Over Large Temperature Scales Due to Surface Evolution. Journal of Verification, Validation and Uncertainty Quantification, 6(3). 10.1115/1.4051461

Schroeder, B.B., Ehrhart, B.D., Lafleur, A., Hecht, E.S., Glover, A.M., Baird, A.R., Mohmand, J.A., Markt, C., Klebanoff, L.E., Blaylock, M.L., Brooks, D.M., Bran Anleu, G.A., Ronevich, J., & Ronevich, J. (2021). Safety Issues in Handling and Use of Hydrogen as a Fuel [Presentation]. https://www.osti.gov/biblio/1886193

Schroeder, B.B., Ehrhart, B.D., Lafleur, A., Hecht, E.S., Glover, A.M., Baird, A.R., Mohmand, J.A., Blaylock, M.L., Bran Anleu, G.A., Klebanoff, L.E., Markt, C., & Markt, C. (2021). Insights from Sandia?s Hydrogen Projects [Presentation]. https://www.osti.gov/biblio/1886166

Neal, K.D., Schroeder, B.B., Mullins, J.G., Carnes, B.R., & Carnes, B.R. (2021). Extracting Low-Dimensional Features From Field Data for Calibration [Conference Presentation]. 10.2172/1888654

Voskuilen, T., Moffat, H.K., Schroeder, B.B., Foulk, J.W., & Foulk, J.W. (2021). Multi-fidelity electrochemical modeling of thermally activated battery cells. Journal of Power Sources, 488. 10.1016/j.jpowsour.2021.229469

Neal, K.D., Schroeder, B.B., Mullins, J.G., Subramanian, A., Mahadevan, S., & Mahadevan, S. (2021). Robust importance sampling for bayesian model calibration with spatiotemporal data. International Journal for Uncertainty Quantification, 11(4), pp. 59-80. 10.1615/int.j.uncertaintyquantification.2021033499

Mills, B., Schroeder, B.B., Yue, L., Shaeffer, R., Ho, C.K., & Ho, C.K. (2020). Optimizing a falling particle receiver geometry using CFD simulations to maximize the thermal efficiency [Conference Poster]. AIP Conference Proceedings. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098081686&origin=inward

Schroeder, B.B., Silva, H., Mills, B., Smith, K.D., Keedy, R.M., & Keedy, R.M. (2020). Characterizing Material Emissivity Uncertainty in Fire Environments for Computational Simulation [Conference Poster]. https://www.osti.gov/biblio/1783651

Guerin, L.C.M., Schroeder, B.B., Mullins, J.G., Neal, K.D., Roberts, S.A., & Roberts, S.A. (2020). Model Calibration in Latent Response Space Using Principal Component Analysis [Conference Poster]. https://www.osti.gov/biblio/1783639

Hund, L., Schroeder, B.B., & Schroeder, B.B. (2020). A causal perspective on reliability assessment [Conference Poster]. Reliability Engineering and System Safety. 10.1016/j.ress.2019.106678

Irick, K.W., Engerer, J.D., Lance, B., Roberts, S.A., Schroeder, B.B., & Schroeder, B.B. (2020). Full function sampling of uncertain correlations [Conference Poster]. ASME 2020 Verification and Validation Symposium, VVS 2020. 10.1115/VVS2020-8834

Brooks, D.M., Schroeder, B.B., & Schroeder, B.B. (2019). Introduction to Belief and Plausibility [Presentation]. https://www.osti.gov/biblio/1762563

Hund, L., Schroeder, B.B., & Schroeder, B.B. (2019). A causal perspective on reliability assessment. Reliability Engineering and System Safety, 195(C). 10.1016/j.ress.2019.106678

Mills, B., Schroeder, B.B., Yue, L., Shaeffer, R., Ho, C.K., & Ho, C.K. (2019). Optimizing a falling particle receiver geometry using CFD simulations to maximize the thermal efficiency [Conference Poster]. https://www.osti.gov/biblio/1642201

Neal, K.D., Schroeder, B.B., Mullins, J.G., Mahadevan, S., Subramanian, A., & Subramanian, A. (2019). Bayesian Calibration of the Thermal Battery [Presentation]. https://www.osti.gov/biblio/1645837

Schroeder, B.B., Hund, L., & Hund, L. (2019). A Causal Perspective on Data Integration [Conference Poster]. https://www.osti.gov/biblio/1640031

Schroeder, B.B., Silva, H., Smith, K.D., & Smith, K.D. (2019). Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis. Journal of Verification, Validation and Uncertainty Quantification, 3(3). 10.1115/1.4042815

Schroeder, B.B., Hund, L., Kittinger, R., & Kittinger, R. (2018). The Need for Credibility Guidance for Analyses Quantifying Margin and Uncertainty [Conference Poster]. 10.1007/978-3-030-12075-7_2

Schroeder, B.B., Hund, L., Kittinger, R., & Kittinger, R. (2018). The Need for Credibility Guidance for Analyses Quantifying Margin and Uncertainty [Conference Poster]. 10.1007/978-3-030-12075-7_2

Neal, K.D., Schroeder, B.B., Mullins, J.G., Mahadevan, S., & Mahadevan, S. (2018). Uncertainty Quantification in Thermal Battery Performance Using a Roll-up Methodology [Conference Poster]. https://www.osti.gov/biblio/1592651

Neal, K.D., Mahadevan, S., Mullins, J.G., Schroeder, B.B., & Schroeder, B.B. (2018). Uncertainty Quantification in Thermal Battery Performance Using a Roll-up Methodology [Conference Poster]. https://www.osti.gov/biblio/1592295

Schroeder, B.B., Silva, H., Smith, K.D., & Smith, K.D. (2018). Separability of mesh bias and parametric uncertainty for a full system thermal analysis [Conference Poster]. Journal of Verification, Validation and Uncertainty Quantification. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068836906&origin=inward

Neal, K.D., Mullins, J.G., Schroeder, B.B., & Schroeder, B.B. (2018). Bayesian Calibration Validation and Rollup on Thermal Battery [Presentation]. https://www.osti.gov/biblio/1582154

Schroeder, B.B., Hewson, J.C., Moffat, H.K., Piekos, E.S., Trembacki, B.L., Voskuilen, T., Roberts, S.A., & Roberts, S.A. (2018). Supporting Credibility of Single Cell Thermal Battery Modeling through V&V/UQ Activities [Conference Poster]. https://www.osti.gov/biblio/1526429

Roberts, S.A., Jove-Colon, C.F., Moffat, H.K., Neilsen, M.L., Piekos, E.S., Schroeder, B.B., Trembacki, B.L., Voskuilen, T., & Voskuilen, T. (2018). TABS: A Thermal Battery Desktop Design Tool [Conference Poster]. https://www.osti.gov/biblio/1876737

Voskuilen, T., Jove-Colon, C.F., Moffat, H.K., Roberts, S.A., Schroeder, B.B., Trembacki, B.L., & Trembacki, B.L. (2018). Multi-Physics Cost and Complexity Reduction Strategies for Modeling Thermally Activated Batteries [Conference Poster]. https://www.osti.gov/biblio/1525708

Schroeder, B.B., Hetzler, A.C., Mills, B., Foulk, J.W., & Foulk, J.W. (2018). An Effort Towards a Consistent VVUQ Approach for Thermal Systems Analyses [Presentation]. https://www.osti.gov/biblio/1515635

Romero, V.J., Schroeder, B.B., Dempsey, J.F., Lewis, J.R., Breivik, N.L., Orient, G., Antoun, B.R., Winokur, J., Glickman, M.R., Red-Horse, J.R., & Red-Horse, J.R. (2018). Simple effective conservative treatment of uncertainty from sparse samples of random functions. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part B. Mechanical Engineering, 4(4). 10.1115/1.4039558

Roberts, S.A., Jove-Colon, C.F., Moffat, H.K., Neilsen, M.L., Piekos, E.S., Schroeder, B.B., Trembacki, B.L., Voskuilen, T., & Voskuilen, T. (2018). TABS: A Thermal Battery Desktop Design Tool [Conference Poster]. https://www.osti.gov/biblio/1876736

Voskuilen, T., Jove-Colon, C.F., Moffat, H.K., Schroeder, B.B., Trembacki, B.L., Roberts, S.A., & Roberts, S.A. (2018). Multi-Physics Cost and Complexity Reduction Strategies for Modeling Thermally Activated Batteries [Conference Poster]. https://www.osti.gov/biblio/1510680

Schroeder, B.B., Allcorn, E., Hewson, J.C., Moffat, H.K., Piekos, E.S., Trembacki, B.L., Voskuilen, T., Roberts, S.A., & Roberts, S.A. (2018). Supporting Credibility of Single Cell Thermal Battery Modeling through V&V/UQ Activities [Conference Poster]. https://www.osti.gov/biblio/1510622

Hund, L., Schroeder, B.B., Kittinger, R., Bickel, J.E., Hadlock, C., & Hadlock, C. (2018). A Data integration framework for quantifications of margins and uncertainties [Conference Poster]. https://www.osti.gov/biblio/1505288

Schroeder, B.B., Silva, H., Smith, K.D., & Smith, K.D. (2018). Separability of mesh bias and parametric uncertainty for a full system thermal analysis. ASME 2018 Verification and Validation Symposium, VVS 2018. 10.2172/1474789

Romero, V.J., Bonney, M., Schroeder, B.B., Weirs, G., & Weirs, G. (2017). Evaluation of a Class of Simple and Effective Uncertainty Methods for Sparse Samples of Random Variables and Functions. 10.2172/1409725

Schroeder, B.B., Romero, V.J., & Romero, V.J. (2017). Development of Uncertainty and Material Property "Truth" Models and Results for Cantilever Beam End-to-End UQ Problem. 10.2172/1527324

Hund, L., Schroeder, B.B., Rumsey, K., Murchison, N., & Murchison, N. (2017). Robust approaches to quantification of margin and uncertainty for sparse data. 10.2172/1394061

Romero, V.J., Bonney, M.S., Schroeder, B.B., Winokur, J., Dempsey, J.F., Orient, G., Breivik, N.L., Antoun, B.R., Lewis, J.R., & Lewis, J.R. (2017). Evaluation of Uncertainty Treatments for Sparse Samples of Random Variables and Functions [Conference Poster]. https://www.osti.gov/biblio/1457858

Mullins, J.G., Schroeder, B.B., Hund, L., Lewis, J.R., & Lewis, J.R. (2017). Practical Challenges and Recommendations for Calibration Validation and Prediction under Uncertainty [Conference Poster]. https://www.osti.gov/biblio/1457854

Romero, V.J., Schroeder, B.B., Glickman, M.R., Winokur, J., & Winokur, J. (2017). Cantilever Beam End-to-End UQ Test Problem and Evaluation Criteria for UQ Methods Performance Assessment [Conference Poster]. https://www.osti.gov/biblio/1456728

Schroeder, B.B., Hund, L., & Hund, L. (2017). Bayesian Tolerance Intervals for Sparse Data Margin Assessment [Conference Poster]. https://www.osti.gov/biblio/1456727

Romero, V.J., Dempsey, J.F., Schroeder, B.B., Lewis, J.R., Breivik, N.L., Orient, G., Antoun, B.R., Winokur, J., Glickman, M.R., Red-Horse, J.R., & Red-Horse, J.R. (2016). Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications [Conference Poster]. 10.2514/6.2017-0818

Romero, V.J., Dempsey, J.F., Schroeder, B.B., Lewis, J.R., Orient, G., Breivik, N.L., Antoun, B.R., Winokur, J., Glickman, M.R., Red-Horse, J.R., & Red-Horse, J.R. (2016). Evaluation of a Simple UQ Approach for Sparse Stress-Strain Curve Data in Solid Mechanics Applications [Conference Poster]. 10.2514/6.2017-0818

Dempsey, J.F., Romero, V.J., Breivik, N.L., Orient, G., Antoun, B.R., Schroeder, B.B., Winokur, J., Lewis, J.R., & Lewis, J.R. (2016). Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data [Conference Poster]. 10.1115/IMECE2016-65245

Trembacki, B.L., Harris, S.R., Piekos, E.S., Roberts, S.A., Schroeder, B.B., & Schroeder, B.B. (2016). Uncertainty Quantification Verification and Validation of a Thermal Simulation Tool for Molten Salt Batteries [Conference Poster]. https://www.osti.gov/biblio/1368656

Mullins, J.G., Schroeder, B.B., Hills, R.G., Crespo, L.G., & Crespo, L.G. (2016). A Survey of Methods for Integration of Uncertainty and Model Form Error in Prediction [Conference Poster]. https://www.osti.gov/biblio/1420250

Schroeder, B.B., Mullins, J.G., & Mullins, J.G. (2016). Exploring Model Form Uncertainty Approaches with a Burgers' Equation Example [Conference Poster]. https://www.osti.gov/biblio/1367131

Romero, V.J., Dempsey, J.F., Schroeder, B.B., Lewis, J.R., Orient, G., Breivik, N.L., Antoun, B.R., Winokur, J., & Winokur, J. (2016). Assessment of a UQ Approach for Handling Sparse Samples of Discrete Random Functions (Material Stress-Strain Curves) [Conference Poster]. https://www.osti.gov/biblio/1365091

Schroeder, B.B., Hu, K., Mullins, J.G., Winokur, J., & Winokur, J. (2016). Summary of the 2014 Sandia V&V Challenge Workshop. Journal of Verification, Validation and Uncertainty Quantification, 1(1). 10.1115/1.4032563

Dempsey, J.F., Romero, V.J., Breivik, N.L., Orient, G., Antoun, B.R., Schroeder, B.B., Winokur, J., & Winokur, J. (2016). Can-crush model and simulations for verifying uncertainty quantification method for sparse stress-strain curve data [Conference Poster]. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). 10.1115/IMECE2016-65245