A course for consultants, industrial experts, postgraduate and Ph.D. students organised by the Swedish Universities of the Built Environment (SBU) and the Joint Committee on Structural Safety (JCSS). The course is free for Ph.D. students from the Swedish Building University (SBU) – i.e. Chalmers, KTH, LTU, and LTH.
Date and place:
Block 1: April 5-7, 2022
Block 2: May 3-5, 2022
The course location is Lund University, Sweden.
The course is organized by:
- Lund University – Faculty of Engineering
- Swedish Universities of the Built Environment
- The Joint Committee on Structural Safety, JCSS
Methods of reliability, risk, and decision analysis are highly important to ensure a safe, economically efficient, and sustainable built environment. This course aims at educating engineers and researchers to utilize and master reliability, risk, and decision analyses to support decision-makers and clients.
The course encompasses (1) probabilistic modelling, (2) reliability analysis and adaptation with structural health information (3) in conjunction with risk and decision analysis. This theoretical background is exemplified with applications providing insight into actual research and industrial applications. The course contents include:
- Probabilistic concepts and methods
- Reliability analysis methods, load and resistance modeling
- System and time-dependent reliability
- Structural health information modelling and analysis
- Risk assessment methods
- Decision analysis and decision value analysis
- Partial safety factor calibration
- Evaluation of existing structures
- Applications in research and practice
Who should attend?
The course is designed for postgraduate students and professionals. An MSc degree in Civil Engineering or equivalent is recommended.
How to sign up…
To sign up for the course or for more information, please contact:
- Ivar Björnsson, firstname.lastname@example.org
- Sebastian Thöns, email@example.com
The course is free for Ph.D. students from the Swedish Building University (SBU) – i.e. Chalmers, KTH, LTU, and LTH.
A fee of 5000 SEK is required from other Ph.D. students and 15 000 SEK from consultants and industry experts.