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CIVE 141 Engineering Developing a Mini Ai Program Project

CIVE 141 Engineering Developing a Mini Ai Program Project

CIVE 141 Engineering Developing a Mini Ai Program Project

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CIVE 141 Civil Engineering Materials
Fall, 2022
By Dr. Yachi Wanyan, Ph.D., P.E.
rom my point of view: Early involvement in
engineering projects during a studentàearly
years increases his / her interest, excitement,
and retention in engineering. (see following
slides for detailsi
rom your point of view:
hort term: Improve your grade.
ong term: Gain knowledge and experience
2
ommunication,
eamwork,
nderstanding professional ethics,
nderstanding global and societal context of
engineering,
ifelong learning,
wareness of current issues
3
1.
2.
3.
4.
5.
6.
Become familiar with standards where material properties may
be found;
Become familiar with testing methods used in measuring these
properties;
Be able to interpret test results related to aggregates, Portland
cement concrete and bituminous mixes;
Design Portland cement concrete and bituminous mixes;
Identify the causes of failure of the civil engineering materials
like steel, timber, Portland cement concrete and bituminous
mixes; and
Gain hands-on experience with laboratory reports preparation
and documenting tests and results.
4
earning by doing
e creative
et actively involved
earn from others
5
oals:
1.
Develop your own mini AI tool to automate
material selection process:
iven info:
? Material elastic modulus E
? Yield strength, Y
? Specimen shape and dimentions
? Type and magnitude of load
? Material selection criteria
utput:
? Automated selection of material
2.
Develop a reasonably easy to use interface to collect
user input and provide output.
6
Cognitive Modeling
Approach:
Theory of Human Mind
Laws of Thought
Approach:
Reason Logically
Turing Test
Rational Agent Approach:
Doing the Right Thing
Russell, S. and Norvig, P. (2009) Artificial Intelligence: A Modern Approach 3rd Ed
he Turing Test
Interrogator
ehavioral Test designed by
Alan Turing (1950)
f a machine is programmed
well enough to have a
conversation with an
interrogator and fools the
interrogator (cannot tell
whether itàa machine or a
human at the other end), this
machine is ntelligentŠTeletyp
e
Human
Machine
”o pass the Turing Test, AI needs to possess the following
capabilities:
Natural language processing to enable it to communicate
successfully in English;
Knowledge representation to store what it knows or hears;
Automated reasoning to use the stored information to
answer questions and to draw new conclusions;
Machine learning to adapt to new circumstances and to
detect and extrapolate patterns;
Plus the following:
Computer vision to perceive objects,
Robotics to manipulate objects and move about.
eak AI (also known as narrow AI): Defines
non-sentient computer intelligence or AI that
is focused on one narrow task.
ivil Engineering Material Selection
oncerns ourselves more with the algorithms
and mechanisms that underline human
intelligent behavior in the field of design,
construction and maintenance of
infrastructure such as pavements.
Knowledge-Base Systems (KBS): stores and uses knowledge, as
compare to pure data to reason and solve complex problems.
xpert System esign, diagnose
uzzy Logic: deals with inaccurate or imprecise information that
cannot be effectively handled by probability theory.
volutionary Algorithms: use iterative processes that are inspired
by biological mechanisms of evolution to evolve a population of
solution to a desired end.
enetic Algorithms inding optimal/near optimal solutions.
rtificial Neural Networks (ANN): Prediction, modeling and
simulation problems in cases where the inputõtput data are
noisy; the relationships between inputõtput variables are
multivariate and highly nonlinear; and the relationship is poorly
understood.
¡ Automate material selection
12
otal: 100 pts, 20% of your overall grade
rogressive (will replace your midterm if you
scored higher)
alculation and Input File: 20 pts
ctual program: 80 pts
13
Nov 3rd: Project introduction, very important, in class
ov: 10th Q&A, project discussion in classroom
ov 15th: Input calculation and input file due (blackboard)
ov 17th: Q&A on program development
ov 29th: Q&A, students should have completed the main part
of the program and making good progress in written part.
ec 2nd: Program due (submit through blackboard)
±4
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