Strengthening Structures: A Growing Collaboration Between South Korea and China in Earthquake Engineering
A recent workshop between Seoul National University’s (SSRG) and Guangzhou University in China signals a growing trend: international collaboration in seismic research. From December 17-19, 2025, researchers from both institutions convened at the Earthquake Engineering Research & Test Center at Guangzhou University, focusing on advanced structural analysis and seismic mitigation techniques.
The Rise of Stochastic Structural Analysis
Professor Junho Song of SSRG delivered an invited talk on recent advancements in stochastic structural analysis. This approach, crucial for understanding how structures behave under unpredictable seismic forces, is gaining prominence as engineers strive to build more resilient infrastructure. The talk covered the history, theoretical foundations, and practical applications of Bouc-Wen class models – a key tool in seismic isolation and energy dissipation design.
Focus on Advanced Modeling Techniques
The workshop highlighted cutting-edge research being conducted by both teams. Jaehwan Jeon, a Ph.D. Candidate at SSRG, presented work on ensemble-based uncertainty quantification for probabilistic surrogate models in structural dynamics. Jongha Joo, an M.S./Ph.D. Student, showcased a unified modeling approach using physics-informed neural networks with feature embedding to predict structural hysteresis. These techniques represent a shift towards more accurate and efficient methods for assessing structural performance under seismic loads.
The Importance of Experimental Facilities
A key component of the visit was a tour of Guangzhou University’s newly established laboratory and the Seismic Control Science Museum. Access to state-of-the-art experimental facilities is vital for validating theoretical models and developing innovative seismic protection systems. These facilities allow researchers to simulate real-world earthquake conditions and observe how structures respond, leading to more informed design decisions.
NSF Grant Collaboration on the Horizon
Discussions during the workshop centered on potential collaboration through the National Science Foundation (NSF). This suggests a move towards larger-scale, jointly funded research projects aimed at addressing critical challenges in earthquake engineering. Such collaborations are becoming increasingly common as researchers recognize the benefits of combining expertise and resources from different countries.
The Role of Physics-Informed Neural Networks
The presentation by Jongha Joo on physics-informed neural networks is particularly noteworthy. This emerging field combines the power of machine learning with fundamental physics principles. This allows for the creation of more robust and accurate predictive models, especially in complex systems like structural dynamics. This approach is gaining traction as computational power increases and data availability expands.
Future Trends in Earthquake Engineering
Increased International Research Partnerships
The SSRG-Guangzhou University workshop exemplifies a broader trend of increased international collaboration in earthquake engineering. Sharing knowledge, resources, and expertise is essential for tackling the global challenge of seismic risk. Expect to see more joint research projects, exchange programs, and collaborative workshops in the coming years.
Advancements in Computational Modeling
Computational modeling is becoming increasingly sophisticated, driven by advances in machine learning, artificial intelligence, and high-performance computing. Techniques like physics-informed neural networks and surrogate modeling will play a crucial role in accelerating the design and assessment of earthquake-resistant structures.
Focus on Resilience and Sustainability
Beyond simply preventing collapse, there’s a growing emphasis on building resilient and sustainable infrastructure. In other words designing structures that can withstand earthquakes with minimal damage, allowing for rapid recovery and continued functionality. Sustainable materials and construction practices are also becoming increasingly essential.
FAQ
- What is stochastic structural analysis? It’s a method for analyzing how structures respond to random forces, like those experienced during an earthquake.
- What are Bouc-Wen class models? These are mathematical models used to represent the nonlinear behavior of structural components under seismic loading.
- What is a physics-informed neural network? It’s a type of machine learning model that incorporates fundamental physics principles to improve accuracy and robustness.
Pro Tip: Regularly updating building codes and incorporating the latest research findings are crucial for mitigating seismic risk.
Interested in learning more about earthquake engineering and structural resilience? Explore additional resources on the SSRG website and stay tuned for future updates on collaborative research initiatives.
