An Integrated Platform for Validated Prediction of Collapse of Structures

University of Illinois at Urbana-Champaign

Northeastern University

 

Sponsors: National Science Foundation

August 16, 2010 to July 31, 2013

FACULTY INVESTIGATORS

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

Junho Song, Professor, Department of Civil and Environmental Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Korea. Formerly: Associate Professor, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois

NORTHEASTERN UNIVERSITY

Jerome F. Hajjar, CDM Smith Professor and Department Chair, Department of Civil and Environmental Engineering, 400 Snell Engineering Center, 360 Huntington Avenue, Northeastern University, Boston, Massachusetts 02115-5000 USA; (617) 373-3242, (617) 373-4419 (fax), jf.hajjar@northeastern.edu

GRADUATE AND UNDERGRADUATE RESEARCH ASSISTANTS AND POST-DOCTORAL ASSOCIATES

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

Derya Deniz, Assistant Professor, Department of Civil Engineering, Ozyegin University, Istanbul, Turkey, derya.deniz@ozyegin.edu.tr. Formerly: Graduate Research Assistant, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign

NORTHEASTERN UNIVERSITY

Tam Nguyen, Senior Structural Engineer, Arup Singapore Private Limited, Singapore, nguyenhong.tam@gmail.com. Formerly Post-doctoral Associate, Department of Civil and Environmental Engineering, Northeastern University

Vitaliy Saykin, Assistant Professor, Department of Engineering, Geneva College, Beaver Falls, Pennsylvania, vitaliy401@gmail.com. Formerly: Graduate Research Assistant, Department of Civil and Environmental Engineering, Northeastern University

PROJECT SUMMARY

The prediction of the collapse of buildings, bridges, industrial facilities and lifeline components has gained growing attention recently. Understanding of the causes and effects of structural collapse is now at the core of critical areas of national need that are being addressed by code-writing bodies, industry organizations, owners of structures, and government agencies in the development of key documents such as national building codes, regional emergency response plans, and risk management strategies. While sophisticated models have been developed and validated for static and dynamic nonlinear constitutive modeling of such structures, accurate prediction of structural collapse with systematic incorporation of uncertainty still remains elusive, especially for structural evaluation and design of actual structures. The proposed research aims to transform capabilities within the U.S. for creating effective and practical computational formulations for collapse modeling. The objectives of the proposed research are 1) to establish a robust procedure for accurate assessment of the collapse of structures by developing cohesive zone finite element modeling strategy as a standardized procedure for collapse assessment of structures subjected to static cyclic and dynamic loading and 2) to provide an integrated stochastic platform that can validate collapse limit states identified through incremental dynamic analysis employing macro-models, and identify key parameters and damage measures that govern collapse capacity.

PUBLICATIONS

Papers in Refereed Journals

Saykin, V. V., Nguyen, T. H., Hajjar, J. F., Deniz, D., and Song, J. (2020). “The Effect of Triaxiality on Finite Element Deletion Strategies for Simulating Fracture in Steel Structures,” Engineering Structures, Vol. 210, May, Paper No. 110364. (https://doi.org/10.1016/j.engstruct.2020.110364)

Deniz, D., Song, J., and Hajjar, J. F. (2018). “Energy-based Sidesway Collapse Fragilities for Ductile Structural Frames under Earthquake Loadings,” Engineering Structures, Vol. 174, 1 November, pp. 282-294. (https://doi.org/10.1016/j.engstruct.2018.07.019)

Saykin, V. V., Nguyen, T. H., Hajjar, J. F., Deniz, D., and Song, J. (2017). “Material Characterization Using Finite Element Deletion Strategies for Collapse Modeling of Steel Structures,” Engineering Structures, Vol. 147, 15 September, pp. 125-133. (http://dx.doi.org/10.1016/j.engstruct.2017.05.059)

Deniz, D., Song, J., and Hajjar, J. F. (2017). “Energy-based Seismic Collapse Criterion for Ductile Structural Frames,” Engineering Structures, Vol. 141, 15 June, pp. 1-13. (http://dx.doi.org/10.1016/j.engstruct.2017.02.051)

Papers in Conference Proceedings

Deniz, D., Song, J., and Hajjar, J. F. (2019). “Collapse Risk Assessment of Ductile Frames under Earthquake Loadings using Energy-based Performance Descriptors,” Proceedings of the International Conference on Natural Hazards and Infrastructure (ICONHIC2019), Chania, Greece, June 23-26, 2019.

Deniz, D., Song, J., and Hajjar, J. F. (2015).  “Energy-based Seismic Collapse Risk Assessment of Structures,” Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12),” Vancouver, Canada, July 12-15, 2015. (paper)

Saykin, V. V., Nguyen, T. H., Hajjar, J. F., Deniz, D., and Song, J. (2014).  “Structural Collapse Modeling of Steel Structures,” Proceedings of the ASCE/SEI Structures Congress 2014, Boston, Massachusetts, April 3-5, 2014. (paper)

Deniz, D., Song, J., Hajjar, J. F., and Nguyen, T. H. (2013).  “Probabilistic Assessment of Dynamic Instability of Frame Structures Under Seismic Excitations,” Mini-Symposium on Resilient Structures, Infrastructures and Communities under Natural and Man-Made Hazards, Proceedings of the 11th International Conference on Structural Safety & Reliability (ICOSSAR 2013), New York, New York, June 16-20, 2013, Columbia University, New York, New York. (paper)

Song, J., Deniz, D., Hajjar, J. F., and Nguyen, T. H. (2011).  “An Integrated Platform for Validated Prediction of Collapse of Structures,” Engineering for Sustainability and Prosperity, Proceedings of the National Science Foundation CMMI Research and Innovation Conference 2011, Atlanta, Georgia, January 4-7, 2011, National Science Foundation, Arlington, Virginia. (paper) (poster)

Kurtz, N., Song, J., Ok, S.-Y., and Kim, D.-S. (2011). “System Reliability Analysis of Fatigue-induced, Cascading Failures Using Critical Failure Sequences Identified by Selective Searching Technique,” 11th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP11), Zurich, Switzerland, August 1-4, 2011. (paper)

Invited Lectures

“Damage and Collapse Assessment of Steel and Composite Structures,” Department of Civil and Environmental Engineering, Oregon State University, Corvalis, Oregon, October 11, 2017.

“Damage and Collapse Assessment of Steel and Composite Structures,” Department of Civil and Environmental Engineering, University of Houston, Houston, Texas, March 31, 2017.

“Damage and Collapse Assessment of Steel and Composite Structures,” Department of Civil and Environmental Engineering, University of Buffalo, Buffalo, New York, October 14, 2016.

“Collapse Assessment of Steel and Composite Structures,” Simpson, Gumpertz & Heger, Inc., July 30, 2015.

“Collapse Assessment of Steel and Composite Structures,” Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, April 28, 2015.

“Damage and Collapse Assessment of Steel and Composite Structures,” North American Steel Construction Conference, Nashville, Tennessee, March 26, 2015.

Conference Presentations

Deniz, D., Song, J., Hajjar, J. F., and Nguyen, T. H. (2013).  “Probabilistic Assessment of Dynamic Instability of Frame Structures Under Seismic Excitations,” 2013 Engineering Mechanics Institute Conference, American Society of Civil Engineers, Evanston, Illinois, August 4-7, 2013.

Deniz, D., Song, J., Hajjar, J. F., and Nguyen, T. H. (2012).  “Identification of Dynamic Instability Limit States for Structures Under Stochastic Excitations,” 2012 Engineering Mechanics Institute Conference, American Society of Civil Engineers, Notre Dame University, South Bend, Indiana, June 17-20, 2012.

Nguyen, T. H., Hajjar, J. F., Song, J., and Deniz, D. (2012).  “CZM-based Macro-model for Structural Progressive Collapse Analysis of Frame Structures,” 2012 Engineering Mechanics Institute Conference, American Society of Civil Engineers, Notre Dame University, South Bend, Indiana, June 17-20, 2012.

Technical Reports and Dissertations

Saykin, V. V., Song, J., and Hajjar, J. F. (2014). “A Validated Approach to Modeling Collapse of Steel Structures,” Report No. NEU-CEE-2014-02, Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts, 538 pp. (report)

Saykin, V. V. (2014).  “A Validated Approach to Modeling Collapse of Structures,” Ph.D. Dissertation, University of Illinois at Urbana-Champaign, Urbana, Illinois. (dissertation)

Deniz, D. (2014).  “Stochastic Prediction of Collapse of Building Structures under Seismic Excitations,” Ph.D. Dissertation, University of Illinois at Urbana-Champaign, Urbana, Illinois. (dissertation)

RESOURCES

Participating Laboratories

Newmark Structural Engineering Laboratory , Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

Laboratory for Structural Testing of Resilient and Sustainable Systems (STReSS Laboratory), Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts, USA

Participating Departments

Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts, USA

This material is based upon work supported by the National Science Foundation under Grant No. CMMI-1000666. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.