Chair for Reliability Engineering's Contributions to ICASP14
Grateful for the chance to share and learn at ICASP14 in Trinity College Dublin, our Chair for Reliability Engineering team alongside fellow colleagues, presented their research at the conference.
The Chair for Reliability Engineering participated in the 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), held at the iconic Trinity College Dublin.
Conference was organized by Prof. Alan O’Connor of Trinity College Dublin and Prof. Vikram Pakrashi of University College Dublin. Ever since the last conference held at Seoul before pandemic, ICASP14 was more than just a conference; it symbolized the resilience and determination of the global academic community. This conference was an opportunity to meet and greet fellow researchers carrying out their investigations into the applications of probability and statistics and probability in Civil Engineering, particularly in understanding and mitigating risks.
Prof. Matthias Faes' Research:
"Approximate Bayesian Computation for Parameter Identification in Computational Mechanics"
Insights: Matthias's exploration into Bayesian Computation in Computational Mechanics was a highlight, addressing the significance of parameter identification and its broader implications.
Prof. Faes explored the application of Approximate Bayesian Computation for efficient parameter identification in problems of computational stochastic mechanics. His research provides a comprehensive examination of parameter identification, addressing the challenges and providing methodologies to improve precision and accuracy. The paper underscores the idea that the combination of ABC, Subset Simulation and perturbation approach provides a valid means for performing parameter identification.
Dr. Marcos Valdebenito's Researches:
"First Excursion Probability Sensitivity Estimation by means of Multidomain Line Sampling"
Insights: Dr. Valdebenito's first presentation was a journey into the realm of sensitivity estimation. The research highlights the potential of Multidomain Line Sampling, showcasing its significance in improving sensitivity estimations. This methodology, as highlighted in the paper, offers a transformative approach to calculate sensitivity of the first excursion probability via multidomain Line Sampling (mLS), ensuring more accurate and effective results.
Insights: The second piece of research by Dr. Valdebenito provided an in-depth analysis of buckling loads, particularly focusing on thin and slender structures. The research delved into the nuances of linear and nonlinear analysis, dissecting the challenges and proposing solutions to enhance understanding and performance. The paper makes a significant contribution, addressing the complexities of buckling loads and offering methodologies for better uncertainty quantification.
ICASP14 has not only offered us a chance to meet and exchange groundbreaking ideas but also reaffirmed the significance of community and collaboration. We eagerly look forward to continued contributions and collaboration as we move towards a brighter future.