Course Overview

In this course, the basics of structural reliability theory and
reliability design are first explained, including the associated
probability theory. In addition, exercises using Matlab programming will be taken to understand numerical methods for analyzing structural
reliability and safety.

Learning Achievement

1) Understand structural reliability theory and related probability statistics, and perform simple structural reliability analysis.
2) Understand and discuss "performance" and "load and resistance" in structural reliability analysis and design.
3) Understand the basics of probabilistic inference for evaluating the reliability and risk of structures from data.

Competence

Relate to「(1)知の活用」「(2)マネジメント力」「(7)専門知識」

Course prerequisites

No requirement.

Grading Philosophy

Exam (35%) and report assignment (65%). Over 60% in total is required.

Course schedule

Introduction to structural reliability
Probability statistics for structural reliability
Probability models of load and resistance
Structural reliability theory and reliability design (1)
Structural reliability theory and reliability design (2)
Summary of structural reliability theory and reliability design
Structural reliability analysis using computational methods (Matlab)
Stochastic modeling of load and resistance (1) (Matlab)
Stochastic modeling of load and resistance (2) (Matlab)
Reliability and risk analysis of structural systems (Matlab)

Course type

Lectures and Class Exercises

Online Course Requirement

Instructor

Nishio Mayuko

Other information

Students have to use Matlab in the practice and assignment in this course. We would like to talk about the software setting in the first half of the course.

Site for Inquiry

Link to the syllabus provided by the university