Progressive Collapse and Extreme Events

Our research interests in this area are related to the high-fidelity computational simulation of large scale infrastructural systems subjected to extreme manmade or natural hazards. In particular, we are interested in developing novel computational methods for simulation of collapse and failure of large scale infrastructural systems.

Areas of interest:

  • Simulation of failure in structural systems.
  • Constitutive modeling for material failure simulation in large scale systems.
  • Nonlocal multiscale beam models for simulation of failures.
  • Structural system optimization for progressive collapse prevention.
  • Sacrificial cladding systems for blast/impact mitigation.

Selected Publications:

  • Zhang, G., Alberdi, R. and Khandelwal, K. (2016). "Analysis of three-dimensional curved beams using isogeometric approach." Engineering Structures. Vol. 117, Pg. 560-574 (DOI).
  • Zhang, G. and Khandelwal, K. (2016). "Modeling of Nonlocal Damage-Plasticity in Beams using Isogeometric Analysis." Computers & Structures. Vol. 165, Pg. 76-95 (DOI).
  • Alberdi, R. and Khandelwal, K. (2015). "Comparison of Robustness of Metaheuristic Algorithms for Steel Frame Optimization." Engineering Structures. Vol. 102, pg. 40-60 (DOI).
  • Kiran R. and Khandelwal, K. (2015). "A Coupled Microvoid Elongation and Dilation Based Ductile Fracture Model for Structural Steels." Engineering Fracture Mechanics, Vol. 145, pg. 15-42. (DOI).
  • Alberdi, R., Murren, P. and Khandelwal, K. (2015). "Connection Topology Optimization of Steel Moment Frames using Metaheuristic Algorithms." Engineering Structures. Vol. 100, pg. 276-292. (DOI).
  • Kiran, R. and Khandelwal, K. (2015), "A Micromechanical Cyclic Void Growth Model for Ultra-low Cycle Fatigue." International Journal of Fatigue. Vol. 70, pg. 24-37. (DOI).
  • Kiran, R. and Khandelwal, K. (2014), "A Triaxiality and Lode Parameter Dependent Ductile Fracture Criterion." Engineering Fracture Mechanics. Vol. 128, pg. 121-138. (DOI).
  • Khandelwal, K. and El-Tawil. S. (2014). "A Finite Strain Continuum Damage Model for Simulating Ductile Fracture in Steels." Engineering Fracture Mechanics, Vol. 116, pg. 172-189. (DOI).
  • Kiran, R. and Khandelwal, K. (2014). "Fast-to-compute Weakly Coupled Ductile Fracture Model for Structural Steels." Journal of Structural Engineering. Vol. 140(6), 04014018. (DOI).
  • Kiran, R. and Khandelwal, K. (2014), "Gurson Model Parameters for Ductile Fracture Simulation in ASTM A992 Steels." Fatigue & Fracture of Engineering Materials & Structures, Vol. 37 (2), pg. 171-183. (DOI).
  • Alberdi, R., Przywara, J. and Khandelwal, K. (2013). "Performance Evaluation of Sandwich Panel Systems for Blast Mitigation." Engineering Structures, Vol. 56, pg. 2119-2130. (DOI).
  • Kiran, R. and Khandelwal, K. (2013), "Experimental Studies and Models for Ductile Fracture in ASTM A992 Steels at High Triaxiality." Journal of Structural Engineering, Vol. 140, Issue 2, 04013044. (DOI).
  • Kiran, R. and Khandelwal, K. (2013), "A Micromechanical Model for Ductile Fracture Prediction in ASTM A992 Steels." Engineering Fracture Mechanics, Vol. 101, pg. 102-117.(DOI).
  • Khandelwal, K. and S. El-Tawil (2011). "Pushdown Resistance as a Measure of Robustness in Progressive Collapse Analysis." Engineering Structures, Vol. 33(9), pg. 2653-2661. (DOI).
  • Khandelwal, K., El-Tawil. S., and Sadek, F. (2009). "Progressive Collapse Analysis of Seismically Designed Steel Braced Frames." Journal of Constructional Steel Research, Vol. 65, No. 3, pg. 699-708. (DOI).
  • Khandelwal, K., S. El-Tawil, et al. (2008). "Macromodel-Based Simulation of Progressive Collapse: Steel Frame Structures." Journal of Structural Engineering, Vol. 134(7), pg. 1070-1078. (DOI).
  • Khandelwal, K. and S. El-Tawil (2007). "Collapse Behavior of Steel Special Moment Resisting Frame Connections." Journal of Structural Engineering, Vol. 133(5), pg. 646-655. (DOI).
  • Chao, S.-H., Khandelwal, K., et al. (2006). "Ductile Web Fracture Initiation in Steel Shear Links." Journal of Structural Engineering, Vol. 132(8), pg. 1192-1200. (DOI)