Facoltà di Ingegneria - Guida degli insegnamenti (Syllabus)

Program

Progettazione di Strutture Antisismiche
Seismic Design of Structures
Laura Ragni

Seat Ingegneria
A.A. 2016/2017
Credits 9
Hours 72
Period II
Language ENG

Prerequisites
Elements of Linear Algebra, Mathematical Analysis, Differential Equations, Laplace Transform.

Learning outcomes
KNOWLEDGE AND UNDERSTANDING:
The course aims to provide the student with the basic theoretical knowledge and practical skills of the seismic engineering, necessary to design buildings with an established seismic hazard risk level with reference to both ultimate and service conditions. In particular, basic concepts for the correct conception and structural design of new buildings are provided, with particular reference to reinforced concrete structures and hints to other structural systems.
CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
Disciplinary knowledge gained in the topic of seismic engineering allows the student to design structural complex systems making use of appropriate design solutions. The necessary skills, critical judgment and capacity for choice, are developed through lectures, including specific practical tutorials.
TRANSVERSAL SKILLS:
The individual practical exercises help to improve the self-learning skill, the ability to communicate results and to generalise the acquired knowledge. Furthermore, an active involvement of the student is developed.

Program
Feedback in biological systems. References on Time Invariant Linear Systems. Non-linear Systems. Negative feedback systems. Step response and frequency response identification. Parametric identification.

Development of the examination
LEARNING EVALUATION METHODS
The assessment of student learning consists of an oral exam, which consists of answering three of the topics covered in the course.

LEARNING EVALUATION CRITERIA
To successfully pass the assessment of learning, the student must have a competence of all the mathematical tools needed to understand the topics covered in the course. Moreover, he must know the system models studied, both linear and non-linear models, negative feedback models, and how to use them in the study and in the identification of biological systems.

LEARNING MEASUREMENT CRITERIA
Each of oral questions is graded with a score between zero and ten. The overall evaluation is the sum of the three scores and is marked out of thirty.

FINAL MARK ALLOCATION CRITERIA
In order to have a positive evaluation, the student must achieve an overall score of at least eighteen, with the constraint that in each of the three oral questions the evaluation must be at least six. Full marks cum laude are given to students who have achieved the highest rating in the oral exam, and have shown a particular brilliance.