Journals

2021

  • A Bayesian Network Approach for Modeling Dependent Seismic Failures in a Nuclear Power Plant Probabilistic Risk Assessment, J. DeJesus Segarra, M. Bensi, M. Modarres, Accepted for Publication Reliability Engineering and System Safety J. (Feb. 2021)
  • Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment: A Comprehensive Survey, T. Zhou, M. Modarres, E. López Droguett. Submitted for publication to Reliability Engineering and System Safety J. (Feb. 2021).
  • Acoustic emission signal clustering in CFRP laminates using a new feature set based on waveform analysis and information entropy analysis, S. F. Karimian, M. Modarres, Submitted to Composite Structures J., (Jan. 2021)

2020

  • Remaining Useful Life Estimation Through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables, S. Cofre, E. López Droguett, M. Modarres, under 2nd review, Applied Soft Computing Journal (Nov. 2020)
  • Understanding and Effectively Managing Conservatisms in Safety Analysis, M. Modarres, S. Krahn, J. O’Brien, Nuclear Technology (Accepted for Publication, July 2020, In Press)
  • Layout Optimization of Multi-Type Sensors and Human Inspection Tools with Probabilistic Detection of Localized Damages for Pipelines, A. Aria, S. Azarm, and M. Modarres, IEEE Access J., vol. 9 (2020), https://doi.org/10.1109/ACCESS.2020.2992671.
  • Extension of Probabilistic Seismic Hazard Analysis to Account for Spatial Variability of Ground Motions at a Multi-Unit Nuclear Power Plant Site, J. DeJesus-Segarra, M. Bensi, M. Modarres, and T. Weaver, Structural Safety J. vol. 85, 101985, https://doi.org/10.1016/j.strusafe.2020.101958.
  • A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics, D. Verstraete, E. Droguett, M. Modarres, Sensors, 20, 176 (2020), https://doi:10.3390/s20010176.
  • A Common Cause Failure Model for Components Under Age-Related Degradation, T. Zhou, E. Droguett, M. Modarres, Reliability Engineering and System Safety J., vol. 195 (2020), https://doi.org/10.1016/j.ress.2019.106699.
  • A New Method for Detecting Fatigue Crack Initiation in Aluminum Alloy Using Acoustic Emission Waveform Information Entropy, S.F. Karimian, H. A. Bruck, and M. Modarres, Engineering Fracture Mechanics, vol. 223 (2020) https://doi.org/10.1016/j.engfracmech.2019.106771.

2019

  • Thermodynamic Entropy to Detect Fatigue Crack Initiation Using Digital Image Correlation, and Effect of Overload Spectrums, F. Karimian, H. Bruck, M. Modarres, International Journal of Fatigue, 129, 2019. https://doi.org/10.1016/j.ijfatigue.2019.105256.
  • Estimation of Damage Size and Remaining Useful Life in Degraded Structures through Deep-Learning Based multi-source Data Fusion, A. Aria, E. Droguett, S. Azarm, and M. Modarres, Structural Health Monitoring J., 2019. https://doi.org/10.1177/1475921719890616.
  • Modeing Uncertainty in Reliability Growth Planning for Discrete-Use Systems, P. Nation and M. Modarres, Australian Journal of Multidisciplinary Engineering, 15(1), 2019. https://doi.org/10.1080/14488388.2019.1661808.
  • Measures of Entropy to Characterize Fatigue Damage in Metallic Materials, H. Yun and M. Modarres, Entropy J., 21, 804. https://doi.org/10.1080/14488388.2019.1661808.
  • Deep Semi-Supervised Generative Adversarial Fault Diagnostics of Rolling Element Bearings, D. Verstraete, E. Droguett, A. Ferrada, V. Meruane, M. Modarres, Structural Health Monitoring J., pp. 1-22, (2019). https://doi.org/10.1080/14488388.2019.1661808.
  • Multi-Unit Risk Aggregation with Consideration of Uncertainty and Bias in Risk Metrics, T. Zhou, M. Modarres, E. Droguett, Reliability Engineering and System Safety J., vol. 188, pp. 473-482, doi: https://doi.org/10.1016/j.ress.2019.04.001

2018

  • A Multivariable Model of the Probability of Detection and Sizing of Small Cracks, A. Barrett, R. Smith, and M. Modarres, Structural Health Monitoring Journal, 94, pp.182-194, 2018. https://doi.org/10.1016/j.engfailanal.2018.07.028.
  • Structural Reliability Prediction Using Acoustic Emission-based Modeling of Fatigue Crack Growth, A. Keshtgar, C. Sauerbrunn, M. Modarres, J. Appl. Sci. 2018, 8, 1225. https://doi.org/10.1080/14488388.2019.1661808.
  • Monitoring and Learning Algorithms for Dynamic Hybrid Bayesian Network in On-line System Health Management Applications, C. Iamsumang, A. Mosleh, M. Modarres, Reliability Engineering and System Safety Journal, 178 (2018) 118-129, doi: 10.1016/j.ress.2018.05.016.
  • A Recursive Bayesian Approach to Small Fatigue Crack Propagation and Detection Modeling, R. Smith, M. Modarres, E. Droguett, Journal of Risk and Reliability, 2018, doi: 10.1177/1748006X18758721.
  • An Improved Multi-Unit Nuclear Plant Seismic Probabilistic Risk Assessment Approach, T. Zhou, M. Modarres, E. L. Droguett, Reliability Engineering and System Safety Journal, 171 (2018) 34-37, doi: 10.1016/j.ress.2017.11.015.
  • Fully Adaptive Particle Filtering Algorithm for Damage Diagnosis and Prognosis, E. Rabiei, E. Droguett, M. Modarres, Entropy Journal, 2018, 20, 100, doi: 10.3390/e20020100.
  • A Review of Oil and Gas Pipeline Pitting Corrosion Growth Models Applicable for Prognostic and Health Management, R. Heidary, S. Gabriel, M. Modarres, K. Groth, N. Vahdati, International Journal of Prognostics and Health Management, ISSN 2153-2648, 2018 009.

2017

  • Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings, D. Verstraete, E. Droguett, V. Meruane, M. Modarres, and A. Ferrada, Shock and Vibration Journal, 2017, doi: 10.1155/2017/5067651.
  • Fatigue Crack Initiation Sizing Using Acoustic Emission, A. Keshtgar and M. Modarres, Journal of Civil Engineering and Architecture, Volume 11, 2017, 1112-1122. doi: 10.17265/1934-7359/2017.12.006.
  • A Probabilistic Approach to Small Fatigue Crack Initiation and Sizing Using Acoustic Emission. Keshtgar, A.; Modarres, M., Applied Sciences Journal, Preprints 2017, 2017020062 (doi: 10.20944/preprints201702.0062.v1).
  • A Thermodynamic Entropy-Based Damage Assessment with Applications to Prognosis and Health Management, A. Imanian, M. Modarres, Structural Health Monitoring, February 2017, pp.1-5, doi: 10.1177/1475921716689561.
  • Advances in Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment, M. Modarres, T. Zhou, M. Massoud, Reliability Engineering and System Safety, Volume 157, January 2017, pp. 87–100. https://doi.org/10.1016/j.ress.2016.08.005
  • Multi-Unit Accident Contributions to Quantitative Health Objectives: A Safety Goal Policy Analysis, D. Hudson, M. Modarres, Nuclear Technology Journal, Volume 197, 2017, Issue 3,doi: 10.1080/00295450.2016.1273714.
  • Damage Assessment Using Information Entropy of Individual Acoustic Emission Waveforms During Cyclic Fatigue Loading, C. M. Sauerbrunn, A. Kahirdeh, H. Yun, M. Modarres, Applied Sciences Journal, 2017, 7, 562, doi: 10.3390/app7060562.
  • A Parametric Approach to Acoustic Entropy Estimation for Assessment of Fatigue Damage, A. Kahirdeh, C. Sauerbrunn, H. Yun, M. Modarres, International Journal of Fatigue, Volume 100, Part 1, July 2017, Pages 229-237, doi: 10.1016/j.ijfatigue.2017.03.019.

2016

  • A Prognostics Approach Based on the Evolution of Damage Precursors using Dynamic Bayesian Networks, E. Rabiei, E. L. Droguett, M. Modarres, Advances in Mechanical Engineering, Vol. 8(9), 2016, pp1–19. doi: 10.1177/1687814016666747.
  • Thermodynamic Entropy Generation in the Course of the Fatigue Crack Initiation, V. Ontiveros, M. Amiri, A. Kahirdeh, M. Modarres, Fatigue & Fracture Engineering of Material Structures, 2016, 00 1–12, doi: 10.1111/ffe.12506.
  • Thermodynamics as a Fundamental Science of Reliability, A. Imanian, M. Modarres, Risk and Reliability, Vol. 230(6), 598-608, doi: 10.1177/1748006X16679578.
  • Sensor-Based Bayesian Inference and Placement: Review and Examples, Christopher S. Jackson, Mohammad Modarres, International Journal of Performability, Volume 12, Number 1, January 2016, pp. 13-32.
  • Probabilistic Approach for Nondestructive Detection of Fatigue Crack Initiation and Sizing, A. Keshtgar, M. Modarres, International Journal of Prognostics and Health Management, Vol 7 (2) 019, pp1-10, 2016.
  • A Thermodynamic Entropy-Based Damage Assessment with Applications to Prognosis and Health Management (SHM-15-0197), A. Imanian, M. Modarres, Structural Health Monitoring, Vol. 17(2), 240-254, doi: 10.1177/1475921716689561.
  • Creep Constitutive Models Suitable for Solder Alloys in Electronic Assemblies, S. Mukherjee, M. Nuhi, A. Dasgupta, and, M. Modarres, ASME Journal of Electronic Packaging, 138(3), (2016) doi: 10.1115/1.4033375.

2015

  • A Thermodynamic Entropy Approach to Reliability Assessment with Applications to Corrosion-Fatigue, A. Imanian, M. Modarres, Entropy 2015, 17,6995-7020.
  • Probabilistic Life Models for Steel Structures Subject to Creep-Fatigue Damage, F. Ibisoglu, M. Modarres, International Journal of Prognosis and Health Managment, Vol.6 (Special Issue Nuclear Energy PHM) 023, 2015.
  • Estimation of Reliability of Structures Subject to Fatigue Loading Using Plastic Strain Energy and Thermodynamic Entropy Generation, V. Ontiveros, M. Modarres, Journal of Risk and Reliability, 2015, Vol. 229(3) 220-236.

2014

  • Improved Probabilistic Modeling of Multi-Site Fatigue Cracking, A. Al Tamimi, M. Modarres, International Journal of Prognosis and Health Management, ISSN 2153-2648, 2014 017.
  • Short Fatigue Crack Initiation and Growth in Aluminum 7075-T6, M. Amiri, M. Modarres, Institution of Mechanical Engineers, Part C: J Mechanical Engineering Science, 2014, 229(7), 1206-1214, doi: 10.1177/0954406214546880.
  • An Entropy-Based Damage Characterization, M. Amiri, M. Modarres, Entropy 2014, 2014,16, pp 6434-6463.
  • A Bayesian Model for Complex System Reliability Growth under Arbitrary Corrective Actions, Martin Wayne and Mohammed Modarres, IEEE Transactions in Reliability, 2014, V. 99, pp 1-15.

2013

  • Detecting Crack Initiation Based on Acoustic Emission, A. Keshtgar, M. Modarres, Chemical Engineering Transactions, Vol. 33, 2013, DOI: 10.3303/CET1333092.
  • Probabilistic Low Cycle Fatigue Prediction Using Energy-based Damage Parameter and Accounting for Model Uncertainty, S.P Zhu, H.Z. Huang, V. Ontiveros, L.P He, M. Modarres, Int. J. of Damage, Mech., 21, pp. 1128-1153, 2013.
  • Bayesian Framework for Probabilistic Low Cycle Fatigue Life Prediction and Uncertainty Modeling of Aircraft Turbine Disk Alloys, S-P. Zhu, H. Huang, R. Smith, V. Ontiveros, L. He, M. Modarres, Probabilistic Engineering Mechanics J., V. 34, pp. 114-122 (2013).
  • Probabilistic Structural Health Monitoring, M. Amiri, V. Ontiveros, A. Keshtgar, M. Nuhi and M. Modarres, Reliability Information Analysis Center Journal, Vol 21, N. 2, pp.5-9. (December 2013).
  • An Event Classification Schema for Evaluating Site Risk in a Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment, Suzanne Schroer, Mohammad Modarres, Reliability Engineering and System Safety J., Vol. 117 (2013), pp 40-51.
  • Quantitative Methods for Structural Health Management Using in Situ Acoustic Emission Monitoring, M. Rabiei, M. Modarres, International Journal of Fatigue, Vol. 49, April 2013, pp 81-89.
  • A Probabilistic Approach for Estimating Defect Size and Density Considering Detection Uncertainties and Measurement Errors, K. Chatterjee, M. Modarres, Journal of Risk and Rel., Feb 2013 Vol. 227, No. 1, pp 28-40.
  • Modeling Rate of Occurrence of Failures with Log-Gaussian Process Models: A Case Study for Prognosis and Health Management of a Fleet of Vehicles, M. R. Wayne, M. Modarres, International Journal of Performability Engineering, Vol. 9, No. 6 (2013) pp. 701-714.

2012

  • Fifty Years of Physics of Failure, K. Chatterjee, M. Modarres, and J. B. Bernstein, RIAC Journal, Vol 20, Issue 1, 2012.
  • A Probabilistic Physics-of-Failure Approach to Prediction of Steam Generator Tube Rupture Frequency, K. Chatterjee and M. Modarres, Nuclear Science and Engineering, Vol. 170, Issue 2, pp: 136-150, February 2012.

2011

  • A Probabilistic Physics-of-Failure Model For Prognostic Health Monitoring of Piping Subject to Pitting and Corrosion-Fatigue, M. Chookah, M. Nuhi, and M. Modarres, Reliability Engineering & System Safety, Volume 96, Issue 12, December 2011, pp. 1601-1610.
  • Structured Treatment of Model Uncertainty in Complex Thermal-Hydraulics Codes; Technical Challenges, Prospective and Characterization, Mohammad Pourgol-Mohamad, Ali Mosleh, Mohammad Modarres, Nuclear Engineering and Design, Volume 241, Issue 1, January 2011, pp. 285-295.
  • The Evolution and History of Reliability Engineering: Rise of Mechanistic Reliability Modeling, M. Azarkhail and M. Modarres, International Journal of Performability Engineering, Vol.7, No. 6, November 2011, pp. 595-606.

2010

  • Structural Reliability Prognosis and Health Assessment of Airframes Using Non-Destructive Inspection, M. Rabiei, M. Modarres, and P. Hoffman, Reliability Information Analysis Center Journal. (2010).
  • An Integrated Methodology for Assessing Fire Simulation Code Uncertainty, V. Ontiveros, A. Cartillier, M. Modarres, Nuclear Science and Engineering, 166, 179–201 (2010).
  • Methodology for the Use of Experimental Data to Enhance Model Uncertainty Assessment in Thermal Hydraulics Codes, M. Pourgolmohamad, A. Mosleh, M. Modarres, Reliability Engineering and System Safety 95 (2010) 77–86.

2009

  • Development of a Probabilistic Mechanistic Model for Reliability Assessment of Gas Cylinders in Compressed Natural Gas Vehicles, S. Chamberlain, M. Chookah, M. Modarres, Journal of Risk & Reliability, Vol. 233, pp 289-231(2009).
  • Development of Probabilistic Models to Estimate Fire-Induced Cable Damage at Nuclear Power Plants, G. Valbuena, M. Modarres, Nuclear Engineering and Design 239 (2009) 1113–1127.
  • Multi-Site Fatigue Damage, X. Wang, M. Modarres, P. Hoffman, International Journal of Fracture, Vol. 156, No.2 (2009) pp 155-163.
  • A Probabilistic-Based Airframe Integrity Management Model, X. Wang, M. Rabiei, J. Hurtado, P. Hoffman, M. Modarres, Reliability Engineering and Systems Safety J, Reliability Engineering and System Safety 94 (2009) 932–941.
  • Integrated Methodology for Thermal-Hydraulic Code Uncertainty Analysis with Application, M. Pourgolmohamad, M. Modarres, A. Mosleh, Nuclear Technology, Volume 165, Number 3 • March 2009, Pages 333-359.
  • Technology-Neutral Nuclear Power Plant Regulation Using Risk-Informed and Performance-Based Methods, M. Modarres, Reliability Engineering and Systems Safety J, 94 (2009) 211– 217.

2007

  • Agent Autonomy Approach to Risk Assessment of Complex Dynamic Systems M. Azarkhail, M. Modarres, Reliability Analysis Information Center Journal, Oct. 2007.

2006

  • Probabilistic Airframe Structural Integrity Management, J. Hurtado, X. Wang, M. Modarres, P. Hoffman, Reliability Analysis Information Center Journal, April, 2006.

2005

  • Technology-Neutral Nuclear Power Plant Regulation: Implications of a Safety Goals-Driven Performance-Based Regulation, M. Modarres, Nuclear Engineering & Technology, Vol. 37 (2005).
  • A historical overview of probabilistic risk assessment development and its use in the nuclear power industry: a tribute to the late Professor Norman Carl Rasmussen, W. Keller and M. Modarres, Reliability Engineering and System Safety, 89, 271-285 (2005).
  • Generalized Renewal Process: Models, Parameter Estimation and Applications to Maintenance Problems, Jose L. Hurtado , Francisco Joglar , Mohammad Modarres, International Journal on Performability Engineering, 1, July (2005).
  • Compressed Natural Gas Safety: A Quantitative Analysis, S. Chamberlain, M. Modarres, Risk Analysis J., 25, 377-389 (2005).
  • A Probabilistic Model for Fire Detection with Applications, F. Joglar, F. Mowrer, M. Modarres, Fire Technology J., 41, 151-172 (2005).
  • Probabilistic Modeling for Fracture Mechanic Studies of Reactor Vessels with Characterization of Uncertainties, F. Li and M. Modarres, Nuclear Engineering and Design 235 (2005), 1-19.

2003

  • Hazard Assessment of Fire in Electrical Cabinets, E. Avidor, F.J. Joglar-Billoch, F.W. Mowrer, M. Modarres, Nuclear Technology, Vol 144 (2003) pp 337-357.

2002

  • Mathematical Formulation of the Generalized Renewal Process for Modeling Failures in Repairable Systems for Performance-Based Applications, M. Yañez, F. Joglar, and M. Modarres, Reliability Engineering and Systems Safety J., 77 (2002), pp. 167-180.

2001

  • Application of Integrated TH-PA Method to the Westinghouse AP600 Reactor, Y. Guan, F. Li, M. Modarres, M. diMarzo, D. Bessette, Nuclear Technology J. Vol. 133, No.3, pp 269 – 289, March 2001.
  • A Method of Integrating Thermal Hydraulic Analysis and Probabilistic Assessment for Safety Evaluation and Screening, Y. Guan, F. Li, M. Modarres, Nuclear Technology J., Vol. 133, No.3, pp 290 – 309, March 2001.

1999

  • Evaluating System Behavior through Dynamic Master Logic Diagram (DMLD) Modeling, Y.-S. Hu, M. Modarres, Reliability Engineering and System Safety J., Vol 64, pp. 241-269, 1999.
  • Functional Modeling of Complex Systems (Editorial), M. Modarres, Reliability Engineering and System Safety J., Vol 64, 1999.
  • Function-Centered Modeling of Engineering Systems Using the Goal Tree-Success Tree Technique and Functional Primitives, M. Modarres, S. W. Cheon, Reliability Engineering and Systems Safety, Vol. 64, pp. 181 – 200, 1999.
  • Ensuring and Automating Software Assurance Based on a Logic Model, Y-S. J. Hu and M. Modarres, Reliability Engineering & System Safety Journal, Special Issue on Functional Modeling, Vol. 64, 1999.

1998

  • Improved Bayesian Approach for Diagnosing Partial Failures, J. Won and M. Modarres, Computers and Chemical Engineering J., Vol. 22, No. 10 pp.1483-1502, 1998.

1996

  • Dominance of Reason over Intuition: Emergence of Risk-Based Regulation. M. Modarres, Marine Safety Council Proceedings Coast Guard Journal of Safety at Sea, Vol. 53, No. 2, April 1996.
  • Time-Dependent System Knowledge Representation Based on Dynamic Master Logic Diagrams, Y. S. Hu and M. Modarres, Control Engineering Practice, Vol. 4, No. 1, pp. 89-98, October 1996.
  • The Accident Sequence Precursor Analysis: Review of the Methods and New Insights, M. Modarres, H. Martz, M. Kaminskiy, Nuclear Science and Engineering, 123, (1996) pp. 238-258

1994

  • Application of REVEAL _W to Risk-based Configuration Control, H. Dezfuli, M. Modarres, J. Meyer. Reliability Engineering and System Safety Journal, Vol. 44, No. 3, 1994.

1992

  • A Framework for Assessing Influence of Organization on Plant Safety, M. Modarres, A. Mosleh and J. Wreathall, Reliability Eng. & Syst. Safety J. 38 (1992) 157-171.
  • Hierarchical Decision Process for Fault Administration, L. Chen and M. Modarres, Computers and Chemical Eng. J., Vol. 16, No. 5, (1992) 425-448.

1991

  • Consistency Checking During Automatic Knowledge Acquisition for Expert System Development, L. Abbott and M. Modarres, Heuristic J., Vol. 3, No. 2, (1991) 29-37.

1990

  • REX: An Intelligent Decision and Analysis Aid for Reliability and Risk Studies, J. Wang and M. Modarres, Reliability Eng. & Syst. Safety J., 30 (1990), 195-218.
  • A Model-Based Approach to On-Line Process Disturbance Management: The Application, I. Kim, M. Modarres and N. Hunt, Reliability Eng. & Syst. Safety J, 28 (1990), 185-239.
  • Toward the Practical Use of Expert System Technique for Process Disturbance Management, I. Kim, M. Modarres and N. Hunt, Reliability Eng. & Syst. Safety J., 28 (1990) 314-317.
  • A Model-Based Approach to On-line Process Disturbance Management: The Models, I. Kim, M. Modarres and N. Hunt, Reliability Eng. & Syst. Safety J., 28 (1990) 265-305.

1989

  • GOTRES: An Expert System for Fault Detection and Analysis, D. Chung, M. Modarres and N. Hunt, Reliability Eng. & Syst. Safety J., 24, (1989) 276-289.

1988

  • An Expert System for Distillation Control Design, G. Birky, T. McAvoy and M. Modarres, Computers and Chemical Engineering J., Vol. 12. No. 9/10 (1988) 1045-1063.
  • Probabilistic Risk Assessment: A Look at the Role of Artificial Intelligence, J. Wang, M. Modarres and N. Hunt, Nuclear Engineering and Design J., 106 (1988), pp. 375-387.

1987

  • Application of Goal Tree-Success Tree Model as the Knowledge-Base of Operator Advisory System, I.S. Kim and M. Modarres, Nuclear Engineering & Design J., 104 (1987) pp. 67-81.
  • Application of a Correlation Model to Analyze Dependent Variables, H. Dezfuli and M. Modarres, IEEE Trans. On Reliability, R-36, No. 4, October 1987, pp. 459-462.
  • Development of Safety Goals for Nuclear Power Plants, D. Rathbun and M. Modarres, Nuclear Safety, Vol. 28, No. 2, pp. 155-163, 1987.

1986

  • Increasing Performance of Engineering Systems, M. Modarres, Reliability Review J., Vol. 6, No. 182, pp. 21-24, 1986.
  • A Method of Alarm System Analysis for Process Plants, M. Modarres, and T. Cadman, Computers and Chemical Eng., Vol. 10, No. 6, pp. 557-565, 1986.

1985

  • A Comparative Assessment of the Safety for One Decade of Performance of Operating U.S. Nuclear Power Plants, E. Lois, and M. Modarres, Reliability Engineering (Int. Journal), Volume 13, 4, pp. 191-210, 1985.
  • A Probabilistic Cost-Based Method for Evaluation of Operational Improvements in Nuclear Reactors, M. Modarres, M.L. Roush, and F. Nouri, IEEE Trans. On Reliability, Vol. R-34, 5, pp. 514-518, 1985.
  • Sensitivity and Uncertainty Analysis for the Accident Sequence Precursor Study, M. Modarres, T. Cadman, E. Lois, and A. Gardner, Nuclear Technology J., Vol. 69, 1, pp. 27-35, 1985.
  • Statistical Uncertainty Analysis in Reactor Risk Estimation, M, Modarres, and T. Cadman, Nuclear Eng. & Design J., Vol. 85, 3, pp. 385-399, 1985.
  • Uncertainty Analysis of Reactor Safety Systems With Statistically Correlated Failure Data, H. Dezfuli, and M. Modarres, Reliability Engineering Int. Journal, Vol. 11, I, pp. 47-64, 1985.

1984

  • A Truncation Methodology for Evaluating Large Fault Trees, M. Modarres, and H. Dezfuli, IEEE Transactions on Reliability, Vol. R-33, 4, pp. 325-328, 1984.
  • A Method of Predicting Availability Characteristics of Series-parallel Systems, M. Modarres, IEEE Transactions on Reliability, R-33, 4, pp. 309-312, 1984.

Journal Guest Editor

  • Entropy J., Special Issue on: Entropy for Characterization of Uncertainty in Risk and Reliability, 2017
  • Reliability Engineering and System Safely J., Special Issue on Functional Modeling Application to Complex Engineering Systems, M. Modarres, ed., Vol. 64, No. 2 May 1999.
  • Reliability Engineering & System Safety J., Special Issue on Advanced Computer Applications in Safety, Reliability Assessment and Management, A. Poucet, M. Modarres, and P. Kafka, eds., Vol. 44, No. 3, 1994.