0(0)

Surrogates and Approximations in Engineering Design

  • Course level: Beginner

Description

Surrogates and Approximations in Engineering Design

The functional purpose and design constraints are frequently approximated in engineering design by connecting the design variables and the responses of interest at a few locations in the design space. Surrogates are commonly employed in design studies since they are approximations of the underlying functionalities.

This course will introduce such surrogates, as well as how to develop, assess, and apply them in design. Polynomial regression, kriging, and radial basis function will be discussed as surrogates, whereas Latin hypercube sampling and Hammersley sequence will be discussed as the design of experiments.

Surrogates and Approximations Course Outline

Week 1: Overview, physical vs. computational experiments, engineering optimization, and the use of surrogates in optimization

Week 2: Sampling plans, Latin squares, Latin hypercubes, stratification, orthogonal arrays, and Hammersley sequencesSurrogates in

Week 3: Polynomial Regression, Radial Basis Function, and Kriging

Week 4: Infill criteria, adaptive sampling, and the use of surrogates in design space exploration and exploitation

Topics for this course

18 Lessons

Lecture 1 – Overview and Motivation of Course

Lecture 2 – Basic Optimization Problem Formulation00:00:00
Lecture 3 – Problem Formulation Example00:00:00
Lecture 4 – Calculus related to Optimization00:00:00
Lecture 5 – The big picture – Overview00:00:00
Lecture 6 – Introduction to DOE – 100:00:00
Lecture 7 – Introduction to DOE – 200:00:00
Lecture 8 – Types of DOE – 100:00:00
Lecture 9 – Types of DOE – 2 and some examples00:00:00
Lecture 10 – Introduction to surrogate modeling00:00:00
Lecture 11 – Types of surrogate – Polynomial models00:00:00
Lecture 12 – Radial basis function – 100:00:00
Lecture 13 – Radial basis function – 200:00:00
Lecture 14 – Kriging – 100:00:00
Lecture 15 – Kriging – 200:00:00
Lecture 16 – Metamodels for Safe and Efficient Automotive Structures00:00:00
Lecture 17 – Exploration and Exploitation in Surrogates00:00:00
Lecture 18 – Errors Based Exploration00:00:00
Lecture 19 – Ensemble of Surrogates00:00:00
Free

Enrolment validity: Lifetime