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Development of an AX-based Intelligent Disaster Prevention Platform for Ultra-Safe SMR Construction Against Extreme External Hazards
KEYWORDKeyword
OBJECTIVE Objective
Development of an AX-based Intelligent Disaster Prevention Platform for Ultra-Safe SMR Construction Against Extreme External Hazards and Korean Geotechnical Uncertainties
INTRODUCTION Director's Message
In the Small Modular Reactor (SMR) construction market, where safety standards have become extremely stringent due to the recent climate crisis and rapidly changing external environments, one of the most critical challenges is the 'uncertainty of complex soil conditions' and 'the protection of structures against extreme external hazards.'
Our research team aims to organically combine KAIST's advanced core technologies in AI-driven structural control (AX) with the structural and seismic safety demonstration infrastructure and legacy data of the Korea Atomic Energy Research Institute (KAERI).
Through postdoctoral-centered collaborative research that breaks down the boundaries between structural, geotechnical, and disaster prevention engineering, we will complete a smart construction disaster prevention platform that ensures the absolute safety of structures under any soil conditions and extreme disasters, thereby securing global super-gap competitiveness for South Korea's smart construction technologies.
IMPACT Impact
Scientific and Technological Aspects
Establishing AI-driven models at a pioneering level for the behavioral analysis of complex, non-linear SFSI (Soil-Foundation-Structure Interaction) to drastically reduce computational time compared to conventional structural numerical analysis, thereby expanding the horizons of dynamic autonomous control theory in construction.
Economic and Industrial Aspects
Dramatically cutting structural redesign costs based on the geological conditions of SMR construction sites to shorten construction periods and maximize economic efficiency, while fostering a deep-tech construction startup (spin-off) ecosystem related to real-time structural health monitoring.
Social Aspects
Establishing a real-time prediction and disaster prevention system for SMRs against complex hazards such as earthquakes, external impacts, and drone collisions, thereby maximizing public trust and confidence in the safety of energy facility construction.
TALENT Ideal Talent
Core Competencies: Engineering capabilities to interpret and control complex soil-structure interactions and extreme disaster behaviors in real time by fusing structural and geotechnical mechanics theories with advanced AX technologies.
Values: An attitude of pursuing open, field-demonstration-centered collaboration while breaking down interdisciplinary boundaries, driven by a profound sense of mission to take responsibility for the absolute safety of national infrastructure.