Transcript – Multi-Criteria Decision Analysis for Sustainability & Resilience of Buildings Subjected to Earthquakes

Hello, everyone. Thank you for listening to our presentation. My name is Negar. I’m presenting our working title as Multi Criterion Decision Analysis for Sustainability and Resilience. Assessment of buildings subjected to earthquakes on behalf of our team. Resilience and sustainability are the two key factors for the building design. The aim of an ideal design is to minimize the seismic losses and the negative environmental impacts by ensuring safety requirements. To that end, we need a holistic, quality, objective approach to integrate all these aspects. So, we developed a framework to investigate the tradeoffs among the related performance objectives, including seismic repair costs and injuries, building operational and embodied energy. Major steps of our framework includes electing building design variables sensitive to the objectives, calculating seismic losses based on female P 58 operational energy, body energy plus and the embodied energy body by the input/output-based approach proposed by female P 58. In the last survey we presented all the results in a 3D space fitted with the axis as the normalized performance objectives. Then we calculate hyper volume indicator to compare the period was set in terms of diversity and distribution of the points and to evaluate the proximity to the approximated to produce solutions. To examine our framework, we selected three reinforced concrete building designs with various heights for window to one ratios, and six exterior wall assemblies are selected as the effective design variables. After calculating the objectives, we observed conflicting outcomes for each criterion. Then we defined its release space in which we presented the design solution points and calculated the hyper volume indicator, which measures the size of the space dominated by the Perito set. We showed that the medium sized building has a larger laminated solution space, and for a high-rise building, it is more difficult to reach a compromise among all criteria as a conclusion that conflicting results we get from each criterion highlights the necessity of integrating these aspects in the future. Building design and decision making. In spite of several challenges like the lack of interoperability among the computational tools for each objective, our framework can step forward to reach an optimum building design.