Faculty Directory

Zhang, Yunfeng

Zhang, Yunfeng

Civil and Environmental Engineering
1178 Glenn. L. Martin Hall


  • Ph.D. in Applied Mechanics, California Institute of Technology, 2001

  • M.S. in Civil Engineering (Structures), Tsinghua University (Beijing, China), 1996

  • B.S. in Civil Engineering (Structures), Tongji University (Shanghai, China), 1993

Honors and Awards

  • Graduate Research Board Award, University of Maryland, 2008

  • Best Paper Award, ASCE Journal of Computing in Civil Engineering, 2006

  • NSF CAREER Award, 2006


  • Self-centering modular panels and self-centering eccentrically braced frames
  • Resilience modeling of civil infrastructures with high performance
  • Bridge condition assessment and condition deterioration modeling
  • Fatigue of welded steel structures and numerical modeling of metal fatigue life and ultra-low-cycle fatigue induced fracture
  • Nonlinear finite element simulation of steel structures and seismic fuses (hysteretic damper) subject to ductile fracture

Dr. Zhang research program has received external funding support totaling $6.24 million from diverse sources including the National Science Foundation (11 competitively awarded NSF grants in total), U.S. Department of Transportation and Federal Highway Administration, and other sponsoring agencies. 

  • ENCE444 Experimental Methods in Geotechnical and Structural Engineering
  • ENCE201 Information Processing II
  • ENCE688A Sensing and Systems Control
  • ENCE353 Introduction to Structural Analysis
  • ENES220 Mechanics of Materials
  • ENCE715 Earthquake Engineering
  • ENCE688W Experimental Methods in Structural Engineering
  • ENCE613 Structural Dynamics

Selected recent publications (see my google scholar page for more publications): 

  • Liu, H. and Zhang, Y. (2019). "Deep learning-based brace damage detection for concentrically braced frame structures under seismic loadings.” Advances in Structural Engineering, https://doi.org/10.1177/1369433219859389.
  • Keivan, A. and Zhang, Y. (2019). “Seismic performance evaluation of self-centering K-type and D-type steel eccentrically braced frame systems,” Engineering Structures, 184: 301-317. 
  • Liu, H. and Zhang, Y. (2019). “Image-driven structural steel damage condition assessment method using deep learning algorithm.” Measurement,133: 168-181.
  • Keivan, A. and Zhang, Y. (2019). “Nonlinear seismic performance of Y-type self-centering steel eccentrically braced frame buildings,” Engineering Structures, 179(15): 448-459. 
  • Tong, L, Zhang, Y, Zhou X, Keivan A, Li R. (2019). “Experimental and analytical investigation of D-type self-centering steel eccentrically braced frames with replaceable hysteretic damper,” ASCE J Structural Engrg, 145(1): 04018229.
  • Zhang, Y. and Liu, H. (2019). “Experimental study of vibration mitigation of mast arm signal structures with particle-thrust damping based tuned mass damper.” Earthquake Engineering and Engineering Vibration, 18(1): 219-231.
  • Zhang, Y., Ayyub, B., & Huang, H. (2018). "Enhancing Civil Infrastructure Resilience with Structural Health Monitoring." Ch.1 in Resilience Engineering for Urban Tunnels, ASCE. 
  • Tong, L., Zhang, Y., Zhang, L., Liu, H., Zhang, Z., and Li, R. (2018). “Ductility and energy dissipation behavior of G20Mn5QT cast steel shear link beams under cyclic loading.” Journal of Constructional Steel Research, 149, 64-77.
  • Wang, Z., Zhang, Y., Wang, Y., Du, X. and Yuan, H. (2018). “Numerical study on fatigue behavior of tubular joints for signal support structures,” J. Constructional Steel Research, 143: 1-10.
  • Wang, W., Kong J., Zhang, Y., Chu G. and Chen, Y. (2017). “Seismic behavior of self-centering modular panel with slit steel plate shear walls: experimental testing,” ASCE J. Structural Engrg., 144(1).
  • Wang, W., Du, X., Zhang, Y. and Chen, Y. (2017). “Experimental Investigation of beam-through steel frames with self-centering modular panels,” ASCE J. Structural Engrg., 143(5).
  • Xu, X., Zhang, Y. and Luo, Y. (2016). “Self-centering eccentrically braced frames using shape memory alloy bolts and post-tensioned tendons,” J. Constructional Steel Research, 125: 190–204.
  • Xu, X., Zhang, Y. and Luo, Y. (2016). “Self-centering modularized link beams with post-tensioned shape memory alloy rods,” Engineering Structures, 112: 47–59.
  • Zhang, Y. and Bai, L. (2015). “Rapid structural condition assessment using radio frequency identification (RFID) based wireless strain sensor,” Automation in Construction, 54: 1-11.
  • Zhang, Y., Shi, F., Song, J., Zhang, X., Yu, S. (2015). “Hearing characteristics of Cephalopods: modeling and environmental impact study,” Integrative Zoology, 10: 141-151.
  • Li, R., Zhang, Y. and Tong, L.W. (2014). “Numerical study of the cyclic load behavior of AISI 316l stainless steel shear links for seismic fuse device,” Frontiers of Structural and Civil Engineering, 8(4): 414-426.
  • Li, Z. and Zhang, Y. (2014). “Fatigue life prognosis study of welded tubular joints in signal support structures,” International Journal of Steel Structures, 14(2): 281-292.
  •  Zhou, C. and Zhang, Y. (2014). “Acoustic emission source localization using coupled piezoelectric film strain sensors” J. of Intelligent Material System and Structures, 25(16): 2082-2092.
  • Zhou, C. and Zhang, Y. (2014). “Near-field acoustic emission sensing performance of piezoelectric film strain sensor,” Research in Nondestructive Evaluation, 25(1): 1-19. (DOI:10.1080/09349847.2013.810318)
  •  Li, Z. and Zhang, Y. (2014). “Extreme value theory based structural health prognosis method using reduced sensor data,” Structures and Infrastructure Engineering, 10(8): 988-997. DOI: 10.1080/15732479.2013.774427.
  • Hu, X., and Zhang, Y. (2013). “Ductility demand of partially self-centering structures under seismic loading: SDOF systems,” Journal of Earthquake and Structures, 4(4), 365-381.
  • Moghaddasi B, N.S. and Zhang, Y. (2013). “Seismic analysis of diagrid structural frames with shear-link fuse devices,” Earthquake Engineering and Engineering Vibration, 12(3), 463-472.
  • Bai, L. and Zhang, Y. (2013). “Nonlinear dynamic behavior of steel framed roof structure with self-centering members under transient wind loading,” Engineering Structures, 49(4): 819–830.
  • Hu, X., Zhang, Y. and Moghaddasi, N. (2012). “Seismic performance of reinforced concrete frames retrofitted with self-centering hybrid wall,” Advances in Structural Engineering, 15(12): 2139-2151.
  • Bai, L. and Zhang, Y. (2012). “Collapse fragility assessment of steel roof framings with force limiting devices under transient wind loading,” Frontiers of Structural and Civil Engineering, 6(3): 199-209. DOI: 10.1007/s11709-012-0168-4.
  • Moghaddasi B, N.S., Zhang, Y. and Hu, X. (2012). “Seismic retrofitting of reinforced concrete frame structures using GFRP-tube-confined-concrete composite braces,” Earthquake Engineering and Engineering Vibration, 11(1): 91-105.
  • Mercado, M. and Zhang, Y. (2012). “A hybrid simulation testbed for realistic evaluation and characterization of NDE and sensor technology,” Journal of Bridge Engineering, 17(6): 907-920.
  • Zhou, C. and Zhang, Y. (2012). “Particle filter based noise removal method for acoustic emission signals,” Mechanical Systems and Signal Processing, 28(1-2): 63–77.
  • Zhang, Y. and Hu, X. (2010). “Self-centering seismic retrofit scheme for reinforced concrete frame structures: SDOF system study,” Earthquake Engineering and Engineering Vibration, 9(2): 271-283.   DOI 10.1007/s11803-010-0012-6.
  • Zhang, Y., Hu, X. and Zhu, S. (2009). “Seismic performance of benchmark base isolated bridges with superelastic Cu-Al-Be wire damper,” Structural Control and Health Monitoring, 16: 668-685.  


Names in bold font indicate the correspondence author of the paper.



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CEE to redesign virtual and physical infrastructure engineering laboratories.

UMD Clark School Highlights Disaster Resilience at Mpact Week

Five-day event focused on role of engineers in disaster prevention, mitigation, and response.

Clark School Faculty Promotions Announced

Faculty promoted to full professor, associate professor with tenure.

$2.67M for Bridge Sensing Research

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Zhang Awarded NSF Grant

Research will employ sensor to detect fatigue in bridges.