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Structural Reliability a.y. 2021/22

Programma

This course is designed to introduce graduate students to concepts and applications of structural reliability. Upon completion of this course, students will be able to:

  1. Compute first- and second-order estimates of failure probabilities of engineered systems;
  2. Update reliability estimates based on new observational data;
  3. Identify the relative advantages and disadvantages of various analytical reliability methods, as well as Monte Carlo simulation;
  4. Use reliability tools to calibrate simplified building codes;
  5. Perform reliability calculations related to catastrophe risk and resilience modelling for earthquake, wind and flood loads;
  6. Build surrogate models of complex engineering systems. Discuss the application of surrogate modelling to offshore wind energy risk modelling.

Course topics:

  • Review of random variables and probability distributions;
  • General component reliability;
  • First-order second-moment (FOSM) methods;
  • First-order reliability method (FORM);
  • Simulation methods;
  • Code calibration and acceptable risk/reliability;
  • System reliability;
  • Seismic reliability of structures;
  • Advanced simulation methods;
  • Catastrophe risk and resilience modelling.

Prerequisites:
This course will assume a basic knowledge of probability concepts such as random variables and their descriptions. Some experience with Matlab programming is preferred.

Assessment:
1) Final Homework/Project

Svolgimento

Classroom

Lecture hours

Date/Time

Lecture  hours

Date/Time

Subject

Tot h

Marelli

2 hours

6/6/22, 9am

2 hour

6/6/21, 4pm

Introduction. Review of random variables and probability distributions.

 

4/20

Marelli

2 hours

7/6/22, 9am

2 hours

7/6/21, 4pm

General component reliability; First-order second-moment (FOSM) methods. (AM)

 

First-order reliability method (FORM). (PM)

 

8/20

Marelli

3 hours

8/6/22, 9am

 

 

Seismic reliability of structures. (AM)

 

11/20

Marelli

2 hours

14/6/21, 9am

2 hours

14/6/21, 4pm

Simulation methods and surrogate modelling. (AM)

 

System reliability; code calibration and acceptable risk/reliability. (PM)

 

15/20

Marelli

3 hours

15/6/22, 9am

 

 

Catastrophe risk and resilience modelling; flood and wind reliability modelling (AM)

 

18/20

Zoom

2 hours

 

 

 

Fire safety (Prof Torero). (AM)

20/20

 

Bibliografia

Faber, M.H., Statistics and Probability Theory, Springer, 2012, https://doi.org/10.1007/978-94-007-4056-3 

Novak, A.S., Collins, K.R., Reliability of Structures, CRC Press, 2013, https://www.routledge.com/Reliability-of-Structures/Nowak-Collins/p/book/9780367866273 

Ang, A.H.S., Tang, W.H., Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2nd Edition, Wiley, https://www.wiley.com/en-gb/Probability+Concepts+in+Engineering:+Emphasis+on+Applications+to+Civil+and+Environmental+Engineering,+2nd+Edition-p-9780471720645   

Carmine Galasso

Professore Associato di Tecnica delle Costruzioni

Ciclo :  XXXIV, XXXV, XXXVI, XXXVII

Tipologia corso : Caratterizzante

Curriculum:  Ingegneria Sismica e Sismologia; Rischi Idrometeorologici, Geologici, Chimici ed Ambientali

Periodo: Semestre II

Anno accademico: 2021-2022