CEE 591 ONL - Reliability Analysis

Spring 2023

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Reliability AnalysisCEE591ONL73275ONL4 -    Paolo Gardoni
Aaron J Dunton

Official Description

Introduction to applied probability theory and random processes, Bayesian analysis of model uncertainties. Formulation of reliability for components and systems. Exact solutions for special cases. Approximate solutions by second-moments, first- and second-order reliability methods (FORM and SORM), the response surface method, simulation methods including importance sampling techniques. Reliability-based optimal design and probabilistic design codes. Time- and space-variant reliability formulations. Course Information: 4 graduate hours. No professional credit. Prerequisite: CEE 491.

Course Description

Introduction to applied probability theory and random processes, Bayesian analysis of model uncertainties. Formulation of reliability for components and systems. Exact solutions for special cases. Approximate solutions by second-moments, first- and second-order reliability methods (FORM and SORM), the response surface method, simulation methods including importance sampling techniques. Reliability-based optimal design and probabilistic design codes. Time- and space-variant reliability formulations.

Credit Hours

4 hours

Prerequisites

Undergraduate degree and CEE 491.

Last updated

12/21/2020