abstract = "Conventional concentrically braced frame (CBF) systems
are commonly used in earthquake-resistant structural
systems. However, they have limited drift capacity
before brace buckling occurs. Self-centring,
concentrically-braced frame (SC-CBF) systems have
recently been developed to increase drift capacity
prior to initiation of damage and to minimise residual
drift. SC-CBFs have more complex behaviour than
conventional CBFs. The seismic response of SC-CBFs
depends on many new parameters such as rocking
behavior, post-tensioning bars, and energy dissipation
elements. Additionally, uncertainty of mechanical
properties (e.g., coefficient of friction in the
friction-bearings) can affect the system response.
To design SC-CBF systems, an accurate prediction of the
statistical parameters of roof drift demand is
essential. In this study, genetic programming is used
to predict the mean and standard deviation of SC-CBF
peak roof drift response under the design basis
earthquake using the most effective mechanical and
geometric parameters. The results of this study can
then be used in the future to design more efficient
SC-CBF systems with a more accurate roof drift
prediction.",