Lecture

Basics of Risk Analysis and Management

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In course

CIVIL-438: Risk analysis and management

Le cours vise à former les étudiants aux méthodes et outils permettant d'appréhender de manière fondée et scientifique la question de l'analyse et de la gestion des risques technologiques et naturels, avec une attention portée au domaine du Génie civil. ...

Description

This lecture covers the basics of risk analysis and management in civil engineering, focusing on distributions, statistical reminders, and mathematical interpretation techniques applied to phenomena with uncertainties. Topics include deterministic and probabilistic approaches, Monte Carlo methods, random variables, distribution functions, moments, coefficients of variation, asymmetry, and kurtosis. The lecture also discusses Bernoulli sequences, fish distributions, uniform and normal distributions, as well as exponential and beta distributions. Practical examples are provided to illustrate the concepts, emphasizing the importance of understanding random variables and theoretical models in civil engineering.

Instructor

Laurent Vulliet

EDUCATION 2016 Board Member Certificate, Swiss Board School, Switzerland 2008 AMP (Advanced Management Program), INSEAD, Fontainebleau, France 1986 PhD (Dr sc. tech.), EPFL, Lausanne, Switzerland 1980 Ms, Civil Engineering (Dipl. Bauing. ETH), ETHZ, Zurich, Switzerland PROFESSIONAL ACTIVITIES 1994 - Present Professor, EPFL. Director of the Soil Mechanics Laboratory (1994-2008). Promoted from Associate to Full Professor in 1996. Part-time position since 2008 2008 - 2015 CEO, BG Consulting Engineers, Lausanne, Switzerland. 2001 - 2008 Dean, School of Architecture, Civil and Environmental Engineering (ENAC), Ecole polytechnique fédérale, Lausanne (EPFL) 1999 - 2001 Head, Civil Engineering Department, EPFL 1989 - 1993 Senior Engineer, De Cérenville Géotechnique SA, Ecublens, Switzerland 1987 - 1989 Lecturer, Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, USA 1986 Invited Researcher, Laboratoire central des ponts et chaussées (LCPC), Paris, France 1981 - 1986 Research assistant, and PhD student, Soil Mechanics Laboratory (LMS), EPFL. Thesis on the modeling of natural creeping slopes. Co-advisors Prof. E. Recordon (EPFL) and Prof. K. Hutter (TU Darmstadt) BOARDS / COUNCILS

Member of the Board of Directors, Implenia, Dietlikon, Switzerland (2016 - present)
Member of the Board of Directors, BG Consulting Engineers, Lausanne (2006 - 2015)
Vice-President, Swiss Society of Engineers and Architects (SIA). 2009-2013.
Member, Foundation Council, Foundation Les Bois Chamblard, financing research in Environmental Sciences at EPFL (focusing on bio-diversity). 2003-present
Member, Foundation Council of the Presses Polytechniques et Universitaires Romandes (PPUR), Lausanne. 1995-present
Member, Stiftungsrat der Präventionsstiftung der KGV (a Swiss foundation for the financing of applied research in the domain of natural risks from Cantonal Building Insurances). 2003-2008
Member of the Board of Directors, Stump Bohr AG, Nänikon. 1998 2001

PROFESSIONAL SOCIETIES

Swiss Society of Engineers and Architects (SIA)
American Society of Civil Engineers (ASCE)
International Association for Computer Meth. and Advances in Geomechanics (IACMAG)
International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE)
International Society for Rock Mechanics (ISRM)
Swiss Society for Soil and Rock Mechanics (SSMSR)
Swiss Society for Earthquake Engineering and Structural Dynamics (SGEB)

SCIENTIFIC COMMITTEES

Swiss National Science Foundation (NSF): member of the Foundation Council and of the Electoral Commission (1996-2003)
Extra-Parliamentary National Commission on Natural Disasters (PLANAT): member of the Commission 1997-2007 (member of the Executive Board from 1997 to 2000)
Natural Hazards Competence Centre CENAT (ETH Domain): founder member and member of the Board of Directors (1995-2007)
Alliance of European Research Laboratories (ALERT), member of the Board of Directors (1995-2009)
Beratende Kommission Swiss Federal Institute for Forest, Snow and Landscape Research (WSL): member (2000-2004)
Centro Stefano Franscini (CSF, Monte Verità): member of the Scientific Advisory Committee (1997-2007)
EPFL Press and Information Commission (CPI). Member 1994-94, President 1995-2000

EDITORIAL BOARDS

Adjunct Editor-in-Chief, Revue française de génie civil (Hermès); founder member (1996-Present). Cette revue est devenue "European Journal of Environmental and Civil Engineering"
Editorial Advisory Board, Int. J. Num. Analyt. Meth. in Geomech., John Wiley (1997-2009).
Editorial Board, Int. J. of Geomechanics (2000-2009).
Editorial Board, Computer & Geotechnics, Elsevier (2001-2009).
Editorial Board, Rivista Italiana di Geotecnica (1997-2009).

Official source

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Related concepts (32)

Indecomposable distribution

In probability theory, an indecomposable distribution is a probability distribution that cannot be represented as the distribution of the sum of two or more non-constant independent random variables: Z ≠ X + Y. If it can be so expressed, it is decomposable: Z = X + Y. If, further, it can be expressed as the distribution of the sum of two or more independent identically distributed random variables, then it is divisible: Z = X1 + X2. The simplest examples are Bernoulli-distributeds: if then the probability distribution of X is indecomposable.

Beta distribution

In probability theory and statistics, the beta distribution is a family of continuous probability distributions defined on the interval [0, 1] or (0, 1) in terms of two positive parameters, denoted by alpha (α) and beta (β), that appear as exponents of the variable and its complement to 1, respectively, and control the shape of the distribution. The beta distribution has been applied to model the behavior of random variables limited to intervals of finite length in a wide variety of disciplines.

Kurtosis

In probability theory and statistics, kurtosis (from κυρτός, kyrtos or kurtos, meaning "curved, arching") is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Like skewness, kurtosis describes a particular aspect of a probability distribution. There are different ways to quantify kurtosis for a theoretical distribution, and there are corresponding ways of estimating it using a sample from a population. Different measures of kurtosis may have different interpretations.

Stable distribution

In probability theory, a distribution is said to be stable if a linear combination of two independent random variables with this distribution has the same distribution, up to location and scale parameters. A random variable is said to be stable if its distribution is stable. The stable distribution family is also sometimes referred to as the Lévy alpha-stable distribution, after Paul Lévy, the first mathematician to have studied it. Of the four parameters defining the family, most attention has been focused on the stability parameter, (see panel).

Multivariate normal distribution

In probability theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions. One definition is that a random vector is said to be k-variate normally distributed if every linear combination of its k components has a univariate normal distribution. Its importance derives mainly from the multivariate central limit theorem.

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