Sidi Mohammed ELACHACHI
ATTENTION, mon adresse mail a changé : firstname.lastname@example.org
Sidi Mohammed ELACHACHI
Université de Bordeaux
We are sending this email to invite you to a mini-symposium on
« Optimal Decision Making under Uncertainty for Civil Systems »
at the 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP 2019) at Seoul National University, Seoul, South Korea, on May 26-30, 2019 (http://www.icasp13.snu.ac.kr/).
The scope of this mini-symposium is described in the abstract below. If you are interested in presenting in this session, please notify us and send us a tentative title and a list of authors. An abstract is required by April 30th through the online submission system at the conference website.
Best regards and looking forward to seeing you in Seoul.
Kostas Papakonstantinou, Penn State University – email@example.com
Matteo Pozzi, Carnegie Mellon University – firstname.lastname@example.org
Daniel Straub, Technische Universität München – email@example.com
Planning and life-long control of civil systems, including design, modification, maintenance, repair, operation and decommissioning, are critical to provide adequate levels of safety and functionality to society. As the future occurrence of stressors and extreme events, and the evolution of components’ deterioration cannot be deterministically predicted, these decisions have to be taken under significant uncertainty. Appropriate computational and analytical methods can predict how a system will respond to actions, and can identify appropriate strategies for enhancing reliability and maximizing expected utility according to specific metrics.
This mini-symposium aims at gathering together researchers interested in developing and applying methods for optimal decision making under uncertainty for civil systems. Computational and theoretical challenges include the modeling and long-term control of large or complex systems, the formulation and solution of the inherent sequential planning and decision process, and the integration of sensor measurements and inspection outcomes. Contributions focusing on dynamic life-time modeling of civil systems, risk and reliability updating based on empirical observations, developing of metrics for assessing risk and utility, and optimization methods are particularly welcomed. Applications demonstrating adoption of these methods in experimental and real life implementations are also of particular interest.