A nonlinear static pushover analysis is employed to predict the inelastic drift performance of tall buildings subject to very rare extreme wind events.
This paper presents an effective numerical optimisation technique for the seismic drift performance design of buildings under multiple earthquake loading conditions.
Specifically, an Optimality Criteria (OC) method is developed to minimize the construction costs subject to seismic drift performance constraints and member sizing constraints.
Such columns are common in regions of low moderate seismicity, and although their strength properties are well defined, the drift performance is less understood.
This paper presents an effective computer-based technique that incorporates pushover analysis together with numerical optimization procedures to automate the pushover drift performance design of reinforced concrete (RC) buildings.
The optimisation algorithm demonstrates its ability in automatically adjusting the stiffness of structural members and in simultaneously considering multiple earthquake responses to produce an optimal design while satisfying all specified drift performance criteria.
The results of a case study example are presented and clearly indicate the dramatic impact that the axial load ratio has on the drift performance of lightly reinforced columns, particularly the significantly lower drift capacities that are available in compression dominated columns.
These values indicate a superior residual storey drift performance compared to steel frames equipped with buckling restrained braces, and highlight the potential of the proposed dual frame to help steel buildings to return to service within an acceptable short time in the aftermath of a strong earthquake.
A form of reinforcement learning is deployed in which the mode is swapped between the snap and drift when performance drops, and in which adaptation is probabilistic, whereby the probability of a neuron being adapted is reduced as performance increases.
"I drifted into performance art in the middle of college, and it yanked me right the heck out of the Main Line area and back home," she said.
