Search Colleges, Exams, Schools & more
Login
Reliability Based Structural Design
Online
12 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Guwahati (IITG) |
The fees for the course Reliability Based Structural Design is :
| Fees components | Amount |
| Exam fees | Rs. 1,000 |
The Syllabus
- Theory of Probability-I
- Probability Distributions (Discrete and Continuous), one-dimensional Random Variables (Discrete and Continuous) PDF & CDF
- Probability Theory-II
- Functions of Random Variable
- Algebra of Variance, Expectations, and moments
- Multi-dimensional Random Variables- Joint distributions
- Conditional & Marginal PDF and PMF
- Expectation Operator in Two dimensions, Covariance, and Correlation
- Reliability Levels
- Level-2 Reliability Methods
- Concept of Reliability Index, Cornell´s Reliability Index, Hasofer-Lind Reliability Index
- First Order Reliability Methods
- Mean Value First Order Second Moment (MVFOSM) method
- First Order Reliability Method (FORM), Rackwitz-Fiessler Algorithm
- Iso-probabilistic transformation of random variables
- Morgenstern & NATAF Transformation, Rosenblatt Transformation
- JPDF & JCDF. Application in FORM
- Introduction to Second Order Reliability Method (SORM)
- Breitung´s approximation, Tvedt´s Three Term approximation. Examples
- Simulation-Based Reliability Analysis- Monte-Carlo Simulation, Variance Reduction Technique, Importance Sampling method
- Metamodel-Based Reliability Analysis-I
- Implicit Performance Function, Polynomial Response Surface Method (RSM)
- Metamodel-Based Reliability Analysis-II
- Moving Least Square Methods in metamodeling. Applications of MLS in surrogate modelling. Case Studies
- Code Calibration
- Determination of partial safety factors, Optimal safety factors
- Case Studies
- FEM Modelling for reliability analysis, Applications. Introduction to Stochastic FEM