Concrete and Earthquake Engineering Research Group

Department of Civil & Structural Engineering

Dr Jun Ye

PhD Student


Department of Civil and Structural Engineering
Sir Frederick Mappin Building
Mappin Street,
S1 3JD


Jun got his bachelor’s degree from Wuhan University in China in 2010.  Then he continued his study in the Institute of Space Structures, Zhejiang University in China, where he focused his research on the progressive collapse of long span steel tensile and grid structures. Jun started his PhD in the University of Sheffield in 2013 after obtaining his Master’s degree. He then developed interests in the buckling phenomena of thin-walled structures. His main research lies in the fields of robustness, optimisation, performance-based design principles and buckling of cold-formed steel elements.

Recent activities and achievements

Project title: Performance Based Optimization of an Innovative Cold-formed Steel Framing System


  • To optimize CFS beam and column elements based on the buckling and post-buckling behaviour as well as manufacturing and construction constraints.
  • To develop more efficient and ductile CFS moment-resisting connections suitable for dual wall-frame buildings in seismic regions through experimentally validated FE models. 
  • To develop a performance-based optimization framework for the seismic design of dual wall-frame CFS multi-story structures based on multiple performance levels.

Tasks and methodology: The performance of innovative cold-formed steel elements will be investigated through tests and validated FE models. A novel performance-based optimization method will be adapted to develop a new generation of high-performance dual wall-frame CFS system

Expected results: 

  • A multilevel framework capable to optimise cold-formed steel structures is proposing.
  • Experimental work will be conducted on the optimised elements and a reliable FE modelling will be developed.
  • A performance-based optimization framework for the seismic design CFS multi-story structures based on multiple performance levels will be proposed.

Supervisors: Dr Iman Hajirasouliha, Dr Jurgen Becque