EARTHQUAKE-RESILIENT SMART BUILDINGS: INTEGRATING ARTIFICIAL INTELLIGENCE AND STRUCTURAL ENGINEERING FOR DISASTER MITIGATION

Abstract

This research aimed to investigate earthquake-resistant smart buildings that combine artificial intelligence and structural engineering for disaster mitigation. The design method was quantitative, and the sample comprised 150 respondents: civil engineers, structural engineers, architects, artificial intelligence experts, postgraduate students, and disaster management officers. The artificial intelligence integration, structural engineering technique, smart monitoring system, and disaster mitigation were assessed using a five-point Likert scale in a structured questionnaire. The results indicated that the respondents were very supportive of AI integration, with a mean score of 4.13 and a standard deviation of 0.75. The overall mean and standard deviation for structural engineering techniques were very high (4.24 and 0.70, respectively), and the same was true of smart monitoring systems (4.20 and 0.74, respectively). The mean and SD of disaster mitigation benefits were very high, 4.22 and 0.72, respectively. The results of the correlation analysis showed that disaster mitigation was positively correlated with artificial intelligence integration (r = 0.61), structural engineering techniques (r = 0.67), and smart monitoring systems (r = 0.69). The model had an adjusted R² of 0.56, explaining 58% of the variation in disaster mitigation. The structural engineering techniques (β = 0.36) and the integration of artificial intelligence (β = 0.31) had the next-highest predictive effects, followed by smart monitoring systems (β = 0.39). The study found that intelligent monitoring, AI prediction and seismic-resistant design enhanced earthquake preparedness, safety, recovery and planning.

Keywords : Artificial intelligence, disaster mitigation, earthquake resilience, smart buildings, structural engineering, structural health monitoring.