Short course on: STOCHASTIC DYNAMICS TECHNIQUES FOR CIVIL ENGINEERING APPLICATIONS

Short course on: STOCHASTIC DYNAMICS TECHNIQUES FOR CIVIL ENGINEERING APPLICATIONS



Title

Short course on: STOCHASTIC DYNAMICS TECHNIQUES FOR CIVIL ENGINEERING APPLICATIONS

Date

20/07/2017

Abstract

Lectures on “Extreme events and stochastic approaches in civil engineering and marine energy”

organizzate dal NOEL con il supporto del Dipartimento di Ingegneria Civile, dell’Energia dell’Ambiente e dei Materiali (DICEAM) e dell’Università Mediterranea di Reggio Calabria.

Nell’ambito del ciclo di seminari su eventi estremi e approcci stocastici nell’ingegneria civile e marittima, presso il Laboratorio Naturale di Ingegneria Marittima NOEL dell’Università Mediterranea di Reggio Calabria, in località Rada delle Mura Greche, lungomare Falcomatà, Giovedì 20 luglio 2017, dalle ore 9,00 alle 19,00,  il

Dr. Ioannis A. Kougioumtzoglou
Assistant Professor at Columbia University, New York (USA)

ha tenuto un corso dal titolo

STOCHASTIC DYNAMICS TECHNIQUES FOR CIVIL ENGINEERING APPLICATIONS

Il corso è stato tenuto in collaborazione con il dott. ing Giovanni Malara, dell’Università Mediterranea di Reggio Calabria

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Il corso è organizzato nell’ambito delle attività del progetto Marie Curie “LARGE MULTIPURPOSE PLATFORMS FOR EXPLOITING RENEWABLE ENERGY IN OPEN SEAS”, PLENOSE, finanziato nell’ambito della action FP7-PEOPLE-2013-IRSES

Partners: l’Università Mediterranea di Reggio Calabria, University of Liverpool (UK); Instituto Superior Tecnico, Lisbon, (Portugal); Rice University, Houston (Texas, USA); Columbia University, New York (USA); Indian Institute of Technology of Madras (India)

 

Program of the Short-course

“STOCHASTIC DYNAMICS TECHNIQUES FOR CIVIL ENGINEERING APPLICATIONS”

by Prof. Ioannis A. Kougioumtzoglou, Columbia University, NY, USA; and Dr. Giovanni Malara, Mediterranea University of Reggio Calabria

 

The short-course “Stochastic Dynamics Techniques for Civil Engineering Applications” is given at the NOEL. The aims of the short-course focus on introducing the basic concepts and computational tools available for addressing problems in the field of Stochastic Engineering Dynamics. Examples are presented from a perspective of usefulness to civil, mechanical and marine engineering applications.
The course is organized in two parts:

Part I (given by Dr. Giovanni Malara) introduces the concepts of probability and random process theory for addressing problems pertaining to civil and marine engineering. It proposes the following contents:
Introduction (0,5hrs): Motivation: Probability in civil engineering applications;
Probability and random process theory (1,5hrs): Random process theory (random variables, expectation of random variables, the Gaussian distribution, the concept of stochastic process, spectral decomposition);
Probability and random process theory (2 hrs): Monte Carlo simulations (overview on Monte Carlo simulations; spectral representation; numerical example: generation of a free surface displacement time history).

Part II (given by Prof. Ioannis A. Kougioumtzoglou) discusses the fundamentals of random vibration and approximate methods for addressing applications of practical/engineering interest. It proposes the following contents:
Introduction (0,5 hrs): Motivation: Historical elements of Random Vibration Theory;
Random Vibration (Stochastic Engineering Dynamics) (1,5 hrs): Linear Systems (Stochastic Input-Output Relationships, Response Determination of Single and Multi Degree of Freedom Lumped Parameter Systems: Time and Frequency Domains Approaches);
Random Vibration (Stochastic Engineering Dynamics) (2 hrs): Nonlinear Systems (Approximate Techniques for Stochastic Response Determination: Focus on Statistical Linearization).