Over the last couple of decades, traditional approach to design has seen a major shift. A new paradigm of performance-based design has emerged and has attracted many research efforts. In a performance-based design, design objectives are set based on the performance needs of the building. However, buildings interaction with the community is not considered in this framework and are seen in isolation. In order to minimize the impact from future disasters, the aspects of hazard preparedness and recovery from the disaster should be considered at the community level in the planning of the built environment. An example of such effort would be to optimize the seismic designs of the buildings in a region based on community resilience. However, using community-level objectives for seismic risk mitigation can be complex and time-consuming. An aspect of complexity in evaluation of the community-level objectives is due to the interdependencies between different buildings. Therefore, the aim of this paper is to provide a simple and viable framework for resilience-based seismic design optimization of interdependent buildings.
In this paper, a framework for seismic design optimization of several structures simultaneously based on a community-level objective is presented. In evaluation of the objectives, functional interdependencies between different buildings in a community are explicitly considered. This framework presents a hybrid approach of using artificial neural networks to approximate the seismic response of buildings and genetic algorithms for multi-objective optimization. The framework can be expanded for other natural hazards with some modifications. The framework is illustrated for optimizing the designs of office and hospital buildings exposed to seismic hazard by considering regional loss and restoration time as the objectives.