STRUCTURAL DYNAMICS II

STRUCTURAL DYNAMICS II

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iten
Code
66264
ACADEMIC YEAR
2019/2020
CREDITS
5 credits during the 2nd year of 10799 CIVIL ENGINEERING (LM-23) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
ICAR/08
TEACHING LOCATION
GENOVA (CIVIL ENGINEERING)
semester
1° Semester
Teaching materials

OVERVIEW

The Course Structural Dynamics II provides advanced tools of Structural Dynamics for the analysis of the dynamic response of structures to random excitation. Furthermore, some basics on the dynamic behaviour of nonlinear systems and structural identification are provided.

AIMS AND CONTENT

LEARNING OUTCOMES

The aim of the course is to provide the students with the tools for the statistical characterization of the dynamic response of structures to stationary random excitation. Time and frequency domain analyses are introduced, together with Monte Carlo simulation techniques and signal processing. Furthermore, basic knowledge on vibration control and for the use of techniques for the operational modal analysis of structures is provided.

AIMS AND LEARNING OUTCOMES

The course provides advanced tools of structural dynamics, including the random dynamic response of structures, an introduction to nonlinear dynamical systems, and some bases on experimental and operational modal analysis of structures. The first part of the course provides the basic tools of probability theory and random processes. The conceptual and mathematical tools are applied in numerical exercises (analysis and manipulation of random quantities through Matlab numerical codes). The second part of the course deals with the characterization of the random dynamic response of single and multi-degree-of-freedom systems. Furthermore, some typical features of nonlinear dynamical systems are shown and basic techniques for the experimental and operational modal analysis of structures will be tackled. Some of the topics are propaedeutic to the course of Wind Engineering.

Teaching methods

The course is organized in class teaching, computer lab and experimental laboratory.

SYLLABUS/CONTENT

Probability theory and statistics. Random variables, random processes, probabilistic models. Monte Carlo method for the simulation of random forces and for the evaluation of the random dynamic response of dynamical systems. Stationary random dynamic response of linear elastic structures. Time and frequency domain formulation. Probabilistic characterization of the expected maximum dynamic response. Qualitative analysis of the dynamic response of nonlinear systems. Experimental measurement of the dynamic response of real structures, structural identification (basics).

RECOMMENDED READING/BIBLIOGRAPHY

   Tubino F. Dispense del corso.

    Muscolino, G. (2002). Dinamica delle strutture, McGraw-Hill.

    Elishakoff, I. (1999). Probabilistic theory of structures, Dover.

TEACHERS AND EXAM BOARD

Ricevimento: Wednesday 14-16 (Ingegneria, DICCA, Villa Cambiaso, ingresso corridoio A7) or by appointmant sending an email to  federica.tubino@unige.it Fruday 11-13 (Architettura, Edificio Santa Croce, Primo piano) or by appointmant sending an email to  federica.tubino@unige.it

Exam Board

SERGIO LAGOMARSINO (President)

FEDERICA TUBINO (President)

GIUSEPPE PICCARDO

LESSONS

Teaching methods

The course is organized in class teaching, computer lab and experimental laboratory.

LESSONS START

23 September 2019

EXAMS

Exam description

Oral exam

Assessment methods

The oral exam will check the comprehension of the topics tackled at lessons, computer lab and laboratory.

Exam schedule

Date Time Location Type Notes
08/06/2020 09:00 GENOVA Orale Nei mesi di giugno/luglio/settembre il docente è disponibile per concordare altre date. In quei mesi si prega di segnalare l'iscrizione al docente tramite email (sergio.lagomarsino@unige.it).
17/06/2020 09:00 GENOVA Orale
15/07/2020 09:00 GENOVA Orale
01/09/2020 09:00 GENOVA Orale Nei mesi di giugno/luglio/settembre il docente è disponibile per concordare altre date. In quei mesi si prega di segnalare l'iscrizione al docente tramite email (sergio.lagomarsino@unige.it).
09/09/2020 09:00 GENOVA Orale