JCSS Continuing Education & Advanced School – 27-31 January 2025
Methods of reliability, risk and safety assessment are increasingly gaining importance as decision support
tools in various fields of engineering. In order to utilize these methods and to exploit their potential in
industrial applications, a deep understanding of the fundamental principles is necessary. The Advanced
School helps engineers to better play the important role they have for society in establishing the basis for
decision making.
JCSS
JCSS is a committee in the field of Structural related Risk and Reliability, acting on behalf of the Liaison
Committee of the following five international professional associations:
- CIB International Council for Research and Innovation in Building and Construction
- ECCS European Convention for Constructional Steelwork
- fib International Federation for Structural Concrete
- IABSE International Association for Bridge and Structural Engineering
- RILEM Reunion internationale des Laboratoires et Experts des Materiaux
The goals of JCSS are
- To improve the general knowledge and understanding within the fields of safety, risk, reliability and quality
assurance, for all types of civil engineering and building structures, on the basis of sound scientific principles
and with an open eye for the applications in practice. - To take care that inter-associational pre-normative research in the field of Risk and Reliability is performed
in an effective and adequate way
JCSS Advanced School description
The JCSS Continuing Education and Advanced School provides a deep and thorough insight in the latest
developments in the concepts and tools for probabilistic structural reliability engineering and risk informed
decision making. The advanced school consists of 3 courses:
Part 1: Probabilistic Modelling and Risk Analysis in Engineering
Part 2: Structural Reliability and the JCSS Probabilistic Model Code (this course)
Part 3: Risk Informed Decision Making and Decision Analysis
Further information on the Structural Reliability and Probabilistic Model Code course is available here
