Publications

    Book Chapters

      2016

      1. Ellingwood, B.R. and J.Y. Lee. (2016). Managing Risks to Civil Infrastructure due to Natural Hazards: Communicating Long-Term Risks due to Climate Change. Risk Analysis of Natural Hazards, Springer International Publishing. . . . 97-112

      2017

      1. Jia, G., A. Tabandeh and P. Gardoni.. (2017). Life-cycle analysis of engineering systems: Modeling deterioration, instantaneous reliability, and resilience. Risk and Reliability Analysis: Theory and Applications. . P. Gardoni (Ed.), Springer International Publishing.

      Conference

        2015

        1. Wang, N. and Ellingwood, B.R. (2015). De-aggregating Community Resilience Objectives to Achieve Building Performance Goals. 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP12. Canada

        2016

        1. B. R. Ellingwood, J.W. van de Lindt, D. Cox, N. Wang, H. Cutler, W. Peacock, and P. Gardoni.. (2016). Introducing the NIST center of excellence for risk-based community resilience planning: Part II: Center of excellence community resilience testbeds, climate change and upcoming center research activities. World 1st International Workshop on Resilience. Torino, Italy
        2. Chmielewski, H., R. Guidotti, T.P. McAllister, and P. Gardoni. (2016). Response of water systems under extreme events: a comprehensive approach to modeling water network resilience. .
        3. Cutler, H., C. Nicholson, N. Wang, and S. Zahran.. (2016). Merging Economic and Civil Engineering Models to Estimate the Impact of Earthquakes. .
        4. Ellingwood, B.R. . (2016). The science behind understanding attributes that make a community disaster-resilient. Int. Symposium on Sustainability and Resiliency of Infrastructure (ISSRI 2016). National Taiwan University of Science and Technology, Taipei, Taiwan
        5. Gidaris, I. and J. E. Padgett. (2016). Probabilistic analysis and resilience assessment of bridges subjected to earthquake mainshocks and aftershocks. .
        6. Guidotti, R., H. Chmielewski, P. Gardoni, and T.P. McAllister. (2016). Modeling resilient infrastructure combining physical damage and loss and restoration of functionality: the case of a water network. ngineering Mechanics Institute/ Probabilistic Mechanics and Reliability Conference (EMI/PMC 2016). Nashville, TN
        7. He, X. and E. Cha. (2016). Modeling Resilience of Interdependent Civil Infrastructure Systems Using Dynamic Inoperability Input-Output Model and Graph Theory. 2016 Joint Conference of the Engineering Mechanics Institute and the ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability Conference (EMI/PMC). May 2016.. Vanderbilt University
        8. M. Koliou and J.W. van de Lindt. (2016). Functionality fragility assessment in the context of community resilience. World 1st International Workshop on Resilience. Torino, Italy
        9. S. Wang, D.A. Reed, V. Unnikrishnan, J. van de Lindt, R. Guidotti and P. Gardoni. (2016). The critical role of interdependency in infrastructure resilience to natural hazards. . EMI 2016 and PMC 2016 Conference. Vanderbilt University, Nashville, TN
        10. Sutley, E.J., and S. Hamideh. (2016). A Community Model for Residential Sector Recovery: An Integrated Engineering and Social Science Perspective. 1st International Workshop on Resilience. Torino, Italy
        11. V. Unnikrishnan, J.W van de Lindt, and M. Koliou. (2016). Functionality and interdependence of electrical power networks and building recovery following natural disasters.. Urban Transitions Global Summit 2016. Shanghai, China
        12. van de Lindt, J.W., B.R. Ellingwood, N. Wang, H. Mahmoud, and M. Koliou. (2016). The Role of Structural Robustness in Risk-Informed Community Resilience Planning. In 85th Structural Engineers Association of California (SEAOC) Convention. Maui, Hawaii

        2017

        1. Contento, A., T. Chhabra, P. Gardoni, and S. Dierer. (2017). Analysis of the effects of climate change on insurance against hurricanes. 2th International Conference on Structural Safety & Reliability (ICOSSAR2017). . Vienna, Austria
        2. Deniz, D., B. Ellingwood, A. Liel, and S. Dashti. (2017). Flood Loss and Recovery Models for Residential Housing Stock: A Case Study of the 2013 Boulder, Colorado Floods. Proc., 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        3. Ellingwood, B.R. , J. W. van de Lindt, and T.P. McAllister. (2017). The Science Behind Community Resilience Assessment: An Overview of the Center for Risk-based Community Resilience Planning. Proc., 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        4. Gardoni, P.. (2017). Society-based Design: Developing Sustainable and Resilient Communities. Keynote paper in 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        5. Gidaris, I. and J. Padgett . (2017). Probabilistic fragility analysis and resilience assessment of bridges subjected to earthquake mainshocks and aftershocks. 16th World Conference of Earthquake Engineering. Santiago, Chile
        6. Guidotti, R., P. Gardoni and Y. Chen. (2017). Multi-layer heterogeneous network model for interdependent infrastructure systems. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        7. Guidotti, R., and P. Gardoni. (2017). Defining the network resolution for the reliability and resilience assessment of critical infrastructure.. 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2017). Rhode Island, Greece
        8. Hassan, E. and H. Mahmoud. (2017). Effect of Modeling Resolution on the Seismic Resilience of a Steel Hospital Building. 3rd Huixian International Forum on Earthquake Engineering for Young Researchers (3HIFEE). University of Illinois at Urbana Champaign, Urbana, IL, 11-12 August 2017
        9. Jia, G., P. Gardoni, and D. Trejo. (2017). Stochastic modelling of deterioration of reinforced concrete structures considering joint effects of earthquakes, corrosion and ASR. 2th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        10. Kendra M. D., X. Xue, J. Xu, N. Wang, R.L. Kolar, and K.M. Geoghegan. (2017). A Coupled Model System for Hurricanes, Storm Surge and Coastal Flooding to Support Community Resilience Planning under Climate Change. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        11. Kendra M. D., Xue, X., Xu, J., Wang, N, Kolar, R.L. and Geoghegan, K.M.. (2017). A Coupled Model System for Hurricanes, Storm Surge and Coastal Flooding to Support Community Resilience Planning under Climate Change. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        12. Lin, P. and N. Wang. (2017). A Simulation-based Model for Post-Disaster Functionality Recovery of Community Building Portfolios. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        13. Misra, S. and J. E. Padgett. (2017). Towards Resilience Modeling of Railway Networks- A Case Study on Shelby County, Tennessee. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        14. Misra, S. and J. E. Padgett. (2017). Post-Earthquake Restoration Modelling of a Railway Bridge Network. Congress on Technical Advancement 2017 . Duluth, MN
        15. Sutley, E.J., J.W. van de Lindt, and L. Peek. (2017). Improving Community Seismic Disaster Resilience through Pre-Event Planning with Engineering, Socioeconomic and Demographic Considerations. 6th World Conference on Earthquake Engineering. Santiago, Chile
        16. Wang, C., H. Zhang, Q. Li, and B.R. Ellingwood. (2017). Role of temporal correlation and non-stationarity in hurricane process in damage assessment of residential buildings exposed to climate change. Proc., 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        17. Wang, Y. and N. Wang. (2017). A Decision Framework to Achieve Building Portfolio Resilience Goals under Tornado Hazard. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        18. Xue, X., N. Wang, B.R. Ellingwood, and K. Zhang. (2017). The Impact of Climate Change on Riverine Flooding at a Community Scale. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria
        19. Zhang, W., N. Wang, C. Nicholson, and M.H. Tehrani. (2017). Stage-wised Resilience Planning for Transportation Networks. 12th International Conference on Structural Safety & Reliability (ICOSSAR2017). Vienna, Austria

        Journal

          2016

          1. Attary, N., J. van de Lindt, V.U.Unnikrishnan, A.R. Barbosa, and D.T. Cox. (2016). Methodology for Development of Physics-Based Tsunami Fragilities. Journal of Structural Engineering. . 10.1061/(ASCE)ST.1943-541X.0001715.
          2. Ellingwood, B.R., H. Cutler, P. Gardoni, W.G. Peacock, J.W. van de Lindt,, and N. Wang. (2016). The Centerville virtual community: a fully integrated decision model of interacting physical and social infrastructure systems. Sustainable and Resilient Infrastructure. 1 (DOI.org/10.1080/23789689.2016.1255000. 3-4. 95-107
          3. Ellingwood, B.R., J.W. van de Lindt, and T.P. McAllister. (2016). Developing measurement science for community resilience assessment. Sustainable and Resilient Infrastructure. 1. 3-4. 93-94
          4. Gidaris, I, J. E. Padgett, A. R. Barbosa, S. Chen, D. Cox, B. Webb and A. Cerato . (2016). Multiple-Hazard Fragility and Restoration Models of Highway Bridges for Regional Risk and Resilience Assessment in the United States: State-of-the-Art Review. Journal of Structural Engineering. . 0(0): 04016188.
          5. Guidotti,R., Chmielewski, H., Unniskrishnan, V., Gardoni, P., McAllister, T., and van de Lindt, J.. (2016). Modeling the resilience of critical infrastructure: the role of network dependencies.. Sustainable and Resilient Infrastructure. 1. 3-4. 153-168
          6. Hassan, E. and Mahmoud, H.. (2016). Seismic Damage and Loss Fragilities of a Hospital Considering Soil Structure Interaction. . . .
          7. He, X. & Cha, E.J.. (2016). Modeling the Damage and Recovery of Interdependent Critical Infrastructure Systems from Natural Hazards. Reliability Engineering and System Safety. . .
          8. Koliou, M., J. van de Lindt, and A. Filiatrault. (2016). Evaluation of an alternative seismic design approach for rigid wall flexible wood roof diaphragm buildings through probabilistic loss estimation and disaggregation. Engineering Structures. 127. 11. 31-39
          9. Lin, P., and N. Wang. (2016). Building Portfolio Fragility Functions to Support Scalable Community Resilience Assessment. Sustainable and Resilient Infrastructure. 1. 3-4. 108-122
          10. Lin, P., and Wang, N. . (2016). Building Portfolio Fragility Functions to Support Scalable Community Resilience Assessment. Sustainable and Resilient Infrastructure. 1. 3-4. 108-122
          11. Lin, P.H., N. Wang, and B.R. Ellingwood. (2016). A risk de-aggregation framework that relates community resilience goals to building performance objectives. Sustainable and Resilient Infrastructure. 1 (DOI: 10.1080/23789689.2016.1178559). 1. 1 - 13
          12. Nicholson, C. and W. Zhang . (2016). Optimal network flow: A predictive analytics perspective on the fixed-charge network flow problem. Computers & Industrial Engineering. 99. . 260-268
          13. Park, H., and D. T. Cox. (2016). Probabilistic Assessment of Near-field Tsunami Hazards: Inundation Depth, Velocity, Momentum Flux, Arrival Time, and Duration Applied to Seaside, Oregon. Coastal Engineering. 117. . 79-96
          14. Unnikrishnan, V.U. and J.W. van de Lindt. (2016). Probabilistic Framework for Performance Assessment of Electrical Power Networks to Tornadoes. Journal of Sustainable and Resilient Infrastructure. 1. 3-4. 137-152
          15. Zhang, W. and C. Nicholson. (2016). A multi-objective optimization model for retrofit strategies to mitigate direct economic loss and population dislocation. Sustainable and Resilient Infrastructure. 1. 3-4. 123-136

          2017

          1. Attary N., van de Lindt J.W., Barbosa A.R., Cox D.T. and Unnikrishnan V.U.. (2017). Performance-Based Risk Assessment of Structures Subjected to Multi-Hazards: Tsunami Following Earthquakes. Journal of Earthquake Engineering. . .
          2. Alam, M.S., A.R. Barbosa, M.H. Scott, D.T. Cox, and J.W van de Lindt . (2017). Development of Physics-based Tsunami Fragility Functions considering Structural Member Failures. ASCE Journal of Structure Engineering. . DOI: 10.1061/(ASCE)ST.1943-541X.0001953.
          3. Attary, N., V. Unnikrishnan, J. van de Lindt, D. Cox, and A. Barbosa. (2017). Performance-Based Tsunami Engineering Methodology for Risk Assessment of Structures. Engineering Structures. . 141:676–686 DOI: 10.1016/j.engstruct.2017.03.071 .
          4. Feng, K., N. Wang, Q. Li, and P. Lin. (2017). Enhancing Resilience of Building Portfolios Considering the Functional Interdependence among Community Sectors. Structural Safety. 66. . 118-126
          5. Guidotti, R., P. Gardoni, P, and Y. Chen. (2017). Network reliability analysis with link and nodal weights and auxiliary nodes. . 65. DOI:10.1016/j.strusafe.2016.12.001. 12-26
          6. Hassan, E. and H. Mahmoud. (2017). Modeling Resolution Effects on the Seismic Response of a Steel Hospital. Journal of Constructional Steel Research. 139. . 254-271
          7. He, X. & Cha, E.J. . (2017). Modeling the Damage and Recovery of Interdependent Civil Infrastructure Network Using Dynamic Integrated Network Model . Sustainable and Resilient Infrastructure. . .
          8. Hou, G., S. Chen, Y. Zhou, and J. Wu. (2017). Framework of microscopic traffic flow simulation on highway infrastructure system under hazardous driving conditions. Journal of Sustainable and Resilient Infrastructure. . DOI:10.1080/23789689.2017.1305851.
          9. Jia G, Gardoni P.. (2017). State-dependent Stochastic Models: A general stochastic framework for modeling deteriorating engineering systems considering multiple deterioration processes and their interactions. Struct Saf. . .
          10. Jia, G., Tabandeh, A., and Gardoni, P.. (2017). Life-cycle analysis of engineering systems: Modeling deterioration, instantaneous reliability, and resilience. in Gardoni, P., (Ed.), Risk and Reliability Analysis: Theory and Applications, Springer. . .
          11. Kameshwar, S. and J. E. Padgett. (2017). Parameterized fragility assessment of bridges subjected to pier scour and vehicular loads. Journal of Bridge Engineering . . .
          12. Koliou, M., H. Masoomi, and J.W. van de Lindt. (2017). Performance Assessment of Tilt-Up Big-Box Buildings Subjected to Extreme Hazards: Tornadoes and Earthquakes. ASCE Journal of Performance of Constructed Facilities. . 10.1061/(ASCE)CF.1943-5509.0001059 .
          13. Koliou, M., J.W. van de Lindt, T.P. McAllister, B.R. Ellingwood, M. Dillard, and H. Cutler. (2017). A Critical Appraisal of Community Resilience Studies: Progress and Challenges. Sustainable and Resilient Infrastructure. . DOI:10.1080/23789689.2017.1418547.
          14. Koliou, M., van de Lindt, J.W. and Lawson, J. . (2017). Quantifying Post-Disaster Building Functionality for Application in Community Resilience Assessment. ASCE Journal of Structural Engineering, Special Issue on Structural Design and Robustness for Community Resilience to Natural Hazards. . .
          15. Lee, J.Y. and B.R. Ellingwood. (2017). A decision model for intergenerational life-cycle risk assessment of civil infrastructure exposed to hurricanes under climate change. Rel. Engrg. & System Safety . 159. (DOI:0.1016/j.ress.2016.10.022). 100-107
          16. Lin, P. and N. Wang. (2017). Stochastic Post-disaster Functionality Recovery of Community Building Portfolios II: Application. Structural Safety. DOI: 10.1016/j.strusfe.2017.05.004. .
          17. Lin, P. and N. Wang. (2017). Stochastic Post-disaster Functionality Recovery of Community Building Portfolios I: Modeling. Structural Safety. DOI: 10.1016/j.strusafe.2017.05.002. .
          18. Mahmoud, H. and A. Chulahwat. (2017). A Probabilistic Cellular Automata Framework for Assessing the Impact of WUI Fires on Communities. Procedia Engineering. 198. . 1111–1122
          19. McAllister, T., Wang, N. and Ellingwood, B.R.. (2017). Determining Mean Recurrence Intervals for Updated Wind Maps in ASCE 7-16. ASCE Journal of Structural Engineering. . .
          20. Park, H., D. T. Cox, M.S. Alam and A.R. Barbosa. (2017). Probabilistic seismic and tsunami hazard analysis (PSTHA) conditioned on a mega-thrust rupture of the Cascadia Subduction Zone. Frontiers in the Built Environment. 3. 3.
          21. Park, H., D. T. Cox, and A. Barbosa. (2017). Comparison of inundation depth and momentum flux based fragilities for probabilistic tsunami damage assessment and uncertainty analysis. Coastal Engineering. 122. . 10-26
          22. Sharma, N., A. Tabandeh, and P. Gardoni. (2017). Resilience analysis: a mathematical formulation to model resilience of engineering systems. Sustainable and Resilient Infrastructure. . DOI: 10.1080/23789689.2017.1345257.
          23. Sutley, E. J. and S. Hamideh. (2017). An Interdisciplinary System Dynamics Model for Post-Disaster Housing Recovery. Sustainable and Resilient Infrastructure. . DOI:10.1080/23789689.2017.1364561.
          24. Sutley, E., van de Lindt, J., and Peek, L.. (2017). Modeling Socioeconomic and Demographic Factors as a Hazard for Natural Disasters. J. Structural Engineering. . .
          25. Sutley, E.J., van de Lindt, J.W., and Peek, L. . (2017). Multihazard Analysis: Integrated Engineering and Social Science Approach. Journal of Structural Engineering. . DOI: 10.1061(ASCE)ST.1943-541X.0001846.
          26. Xue, X., Wang, N., Ellingwood, B.R. and Zhang, Ke. (2017). Flood Hazard Modeling to Support Community Resilience Planning for an Evolving Climate. Natural Hazards Review. . .
          27. Zhang, W. and N. Wang. (2017). Bridge Network Maintenance Prioritization under Budget Constraint. Structural Safety. 67. . 96-104
          28. Zhang, W., P. Lin, X. Xue, N. Wang, and C.D. Nicholson. (2017). Probabilistic Prediction of Post-disaster Functionality Loss of Community Building Inventories Considering Utility Disruptions. ASCE Journal of Structural Engineering. DOI:10.1061(ASCE)ST.1943-541X.0001984. .
          29. Zhang, W., Wang, N., and Nicholson, C. . (2017). Resilience-based Post-Disaster Recovery Strategies for Road-bridge Networks. Structure and Infrastructure Engineering. DOI:10.1080/15732479.2016.1271813. . 1-10