Advancing Resilience and Survivability of Buildings by Integrating Life-Cycle Assessments with Multi-Objective Linear Programming

The increasing frequency of natural disasters has been affecting communities, economies, and the built environment. To address this issue, there is a need for a holistic sustainability framework that considers resilience and survivability engineering in building design. Sustainability in building practices ensures that modern infrastructure needs are met while also considering future economic, environmental, and social factors that affect infrastructural utility. Integrating life-cycle assessment (LCA) with Multi-Objective Linear Programming (MOLP) is a promising way to enhance the resilience and survivability of infrastructures and promote sustainable building performance over time. This research critically evaluates existing methods for measuring building resilience and survivability, identifying key gaps and opportunities for improvement through LCA-MOLP. Acknowledging these methods, a new model is introduced with the purpose of optimizing building design for maximum value and minimal waste throughout its lifespan. The model offers a blueprint for sustainable construction in areas prone to disasters and the onslaughts of climate change.