FYI, note that imprecise probabilities are explicitly mentioned as one of the topics

From: Institute for Risk and Reliability <beer@irz.uni-hannover.de>
Sent: Friday, January 24, 2020 6:41 PM

Special Sessions - The 10th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2020)

Dear Colleague,

We would like to invite you or your students to contribute a paper to the Special Session on:

���Uncertainty quantification in numerical simulation and system health monitoring and its application in structural and system engineering���

in the 2020 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering(QR2MSE 2020 ), July 28-31, 2020, Xi'an, China

(http://www.qr2mse.org/sessions.html)

Abstract:

It has been widely recognized that uncertainties are ubiquitous in nearly all aspects of structural engineering, and the possible sources of uncertainty include not only the natural randomness of structural system parameters and environmental excitations, but also those due to lack of information, such as measurement errors, computer simulator inaccuracy, numerical errors, model parameter inaccuracy, bias of expert opinions, etc. It has also been widely recognized that, incapability of properly addressing these uncertainties may result in unreliable decision making and untrusted design. The classical probability theory, although being widely used for treating uncertainty, has been proved to be insufficient for modelling the complex uncertainty environments, and some new uncertainty models including non-probabilistic models (e.g., convex model and fuzzy sets) and imprecise probability models (e.g., evidence theory, probability box model and fuzzy probability model) have been developed. However, challenges still exist when it comes to real-world engineering application, on the aspects of theoretical uncertainty modelling, numerical implementation, engineering applicability, etc.

The aim of this session is to bring together both researchers and practitioners so as to highlight not only the state-of-the-art theoretical developments, but also the challenges as well as practices in real-world structural and system engineering applications. The session will focus on, but not limited to, the following specific topics.

i. Uncertainty modelling for dependencies, multi-physic fields, simulator errors, etc.

ii. Uncertainty treatment in structural health monitoring

iii. Statistical inference for non-probabilistic models and imprecise probabilities.

iv. Forward Uncertainty propagation

v. Risk and Reliability analysis under mixed uncertainties

vi. Sensitivity analysis

vii. Model updating

viii. Model validation

ix. Optimization under uncertainty

x. Decision making under uncertainty

IMPORTANT DATES

Full Paper Submission Deadline	February 10, 2020
Full Paper Acceptance Notification	March 10, 2020
Camera Ready Papers Due

Organized Session organisers:

Sifeng Bi, School of Aerospace Engineering, Beijing Institute of Technology, 100081, Beijing

Yi Zhang, Department of Civil Engineering, Tsinghua University, 100084, Beijing

Pengfei Wei, School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi���an 710072, China

Michael Beer, Institute for Risk and Reliability, Leibniz Universit��t Hannover, Callinstr. 34, Hannover 30167, German

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Institute for Risk and Reliability
Callinstr. 34
30167 Hannover
Germany
www.irz.uni-hannover.de

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