Artificial Intelligence has brought significant benefits in earthquake early warning systems, especially in Japan, which is known for its technological innovations in earthquake-resistant buildings. Prof. Buntara S. Gan, one of the professors of the Department of Architecture from Nihon University, Japan discussed the benefits of artificial intelligence (AI) for earthquake early warning in a public lecture held on Friday (20/9) at Makara 04 Smart Meeting Room, 1st Floor Dean’s Building, FTUI. This public lecture was attended by FTUI students as one of the series of RCBE-IBB Seminars.
Artificial Intelligence (AI) has changed the way we understand and manage the life cycle of buildings, especially in the context of earthquake resilience. With AI applications that rely on quantitative evaluation, engineers and architects can now analyze building performance in greater depth and accuracy.
“One of the approaches adopted is the use of advanced sensors that collect real-time data on the structural condition of the building. These sensors allow quantitative measurements of various parameters, such as deformation, natural frequency, and response to shock. This information is invaluable, especially during earthquakes, where building performance can be objectively evaluated. With quantitative data, the evaluation of the strength and stability of the building becomes more precise, allowing for better decision-making in design and maintenance,” explained Prof. Buntara.
The use of Deep Neural Networks (DNNs) in analyzing this data also provides significant advantages. DNNs are able to process and learn patterns from the big data generated during the life cycle of a building. Thus, the analysis that previously took time in the dynamic phase can now be carried out more efficiently and quickly. This approach not only improves accuracy, but also speeds up response to potential problems that may occur in the building structure.
Prof. Buntara also said that the use of Shaking Intensity Levels (SIL) as a method of evaluating building responses has provided new insights in structural diagnosis. SIL measures the level of shock experienced by each floor, which helps in understanding how each part of the building adapts to the load generated by an earthquake. “With this information, adjustments can be made in the design of new buildings and maintenance of existing buildings, ensuring that every element of the building is able to withstand extreme conditions,” he said.
In the future, further research will focus on the integration of brain wave technology to understand human responses to earthquakes. This approach is expected to increase public awareness and preparedness during disasters, as well as support the development of a more effective early warning system.
Acting Dean of FTUI, Prof. Ir. Mahmud Sudibandriyo, M.Sc., Ph.D. said, “With all these innovations, AI and quantitative evaluation not only play a role in improving building resilience, but also in community safety. Japan’s long history in earthquake-resistant building technology provides a strong foundation for further development in this field.”
“Our hope in the future is to establish research collaborations that connect earthquakes and public health, in order to improve understanding and mitigate the impacts caused. In addition, we also hope that there will be more cooperation with world-class researchers,” said Siti Fauziyah Rahman, S.T., M. Eng., Ph.D., as the chairperson of RCBE UI.
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