Development of a user-friendly and transparent non-linear analysis program for RC walls

  • Menegon, Scott J. (Department of Civil and Construction Engineering, Swinburne University of Technology) ;
  • Wilson, John L. (Department of Civil and Construction Engineering, Swinburne University of Technology) ;
  • Lam, Nelson T.K. (Department of Infrastructure Engineering, University of Melbourne) ;
  • Gad, Emad F. (Department of Civil and Construction Engineering, Swinburne University of Technology)
  • Received : 2019.09.03
  • Accepted : 2020.03.23
  • Published : 2020.04.25


Advanced forms of structural design (e.g., displacement-based methods) require knowledge of the non-linear force-displacement behavior of both the overall building and individual lateral load resisting elements, i.e., walls or building cores. Similarly, understanding the non-linear behaviour of the elements in a structure can also allow for a less conservative structural response to be calculated by better understanding the cracked (i.e., effective) properties of the various RC elements. Calculating the non-linear response of an RC section typically involves using 'black box' analysis packages, wherein the user may not be in complete control nor be aware of all the intricate settings and/or decisions behind the scenes. This paper introduces a user-friendly and transparent analysis program for predicting the back-bone force displacement behavior of slender (i.e., flexure controlled) RC walls, building cores or columns. The program has been validated and benchmarked theoretically against both commonly available and widely used analysis packages and experimentally against a database of 16 large-scale RC wall test specimens. The program, which is called WHAM, is written using Microsoft Excel spreadsheets to promote transparency and allow users to further develop or modify to suit individual requirements. The program is available free-of-charge and is intended to be used as an educational tool for structural designers, researchers or students.


Supported by : Australian Research Council(ARC)


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