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Coursecode: wb1440
Coursename: Engineering Optimization: concept and applications
This concerns a
course
and exercises
ECTS creditpoints: 3
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Faculty
of Mechanical
Engineering and Marine Technology
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Lecturer(s):
Keulen, prof.dr.ir. A. van
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Tel.:
015-27 86515
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Catalog
data:
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Course
year:
Period:
Hours p/w:
Other hours:
Assessment:
Assessm.period(s):
(see academic calendar)
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MSc 1st year
1A / 1B
2
2 hours exercise
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Prerequisites: Basic knowledge of mechanical
engineering and mathematics
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Follow
up:
wb1441
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Detailed
description of topics:
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Formulation of optimization
problems
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Typical characteristics of
optimization problems
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Minimization without
constraints
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Constrained minimization
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Simple optimization
algorithms
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Discrete design variables
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Approximation concepts
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Sensitivity analysis
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Course
material: P.Y.
Papalambros et al. Principles of Optimal Design: Modelling and Computation.
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References from literature: R.T. Haftka and Z. Gürdal:
Elements of Structural Optimization.
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Remarks
(specific information about assesment, entry requirements, etc.):
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Learning
goals:
The
student must be able to:
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formulate an
optimization model for various design problems
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identify optimization
model properties such as monotonicity, (non-)convexity and (non-)
linearity
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identify optimization
problem properties such as constraint dominance, constraint activity,
well boundedness and convexity
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apply Monotonicity
Analysis to optimization problems using the First Monotonicity Principle
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perform the conversion
of constrained problems into unconstrained problems using penalty or
barrier methods
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compute and interpret
the Karush-Kuhn-Tucker optimality conditions for constrained
optimization problems
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describe the
complications associated with the use of computational models in
optimization
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illustrate the use of
compact modeling and response surface techniques for dealing with
computationally expensive and noisy optimization models
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perform design
sensitivity analysis using variational, discrete, semi-analytical and
finite difference methods
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identify a suitable
optimization algorithm given a certain optimization problem
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perform design
optimization using the optimization routines implemented in the Matlab
Optimization Toolbox
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derive a linearized
approximate problem for a given constrained optimization problem, and
solve the original problem using a sequence of linear approximations
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describe the basic
concepts used in structural topology optimization
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Computer
use: MATLAB is
used for exercises.
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Laboratory
project(s):
MATLAB
projects have to be carried out.
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Design
content: The course
is focusing on design optimization.
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Percentage
of design: 80%
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