Intelligent
Structural Systems - An Introduction
A Dual-Level Class – Open to
Senior (5397) and Graduate Students (7397)
Fall 2004
Instructor: Dr. G. Song, Associate Professor, Room N235
Email:
gsong@uh.edu
Office Hours:
2004 Course Description prepared for Catalogue Data:
MECE 5397 or 7397: Intelligent Structural Systems - An Introduction, Cr. 3(3-0). Prerequisite: System Dynamics for 5397 and System Dynamics and Control System Design for 7397. This course exposes the rapid growing field of intelligent materials and structures, also often called smart materials and structures, to senior and graduate students and gives students necessary theoretic knowledge to design simple applications of smart materials and structures. This course will cover basics, modeling, design and control of smart structures using various smart materials such as piezo-ceramics, shape memory alloy, magneto-rheological (MR) fluid, fiber optic sensors, among others. Innovation and research oriented projects will be involved. Requirements will be different for undergraduate and graduate students.
Textbook or Course Materials: Intelligent Structural Systems - An Introduction, Song, class notes will be also available online via Blackboard.
Prerequisites
by Topic:
1.
2. Transfer function and block
diagram representation of a linear time invariant (LTI) dynamic system
3. First order LTI system and
Second order LTI system
4. Root locus plot and Bode
diagram
5. For 7393: Control design
(lead, lag, or lag-lead compensators) based on root locus plot and control
design based on Bode diagram
Topics: (each class is 80 minutes, two classes per week)
1.
Course
Description
2.
Introduction
3.
State-of-the-Art
in Smart Materials & Structures (SM&S) Development
4.
Dynamics and
Controls Related Knowledge
5.
Shape Memory
Alloy Materials
6.
Shape Memory
Alloy Actuators
7.
Civil Engineering
Applications of Shape Memory Alloy Actuators
8.
Introduction to
Control Design for Shape Memory Alloy Systems
9.
Introduction to
Magneto-Rheological (MR) Fluid and its Engineering Applications
10. Designing with MR Fluids
11. MR Fluid Valve Design and Magnetic Circuit Design
12. Introduction to Modeling and Controller Design of MR
Dampers
13. Basics about Fiber Optic Sensors
14. Engineering Applications of Fiber Optic Sensors
15. Basics about Piezoceramic Materials
16. Introduction to Vibration and Modal Analysis
17. Introduction to Finite Element Method
18. Finite Element Modeling of Piezoceramic Smart Structures
19. Introduction to Vibration Control Using Lead
Compensators with PZT actuators
20. Introduction to Micro-Electro-Mechanical Systems
(MEMS)– Part 1
21. Introduction to Micro-Electro-Mechanical Systems
(MEMS)– Part 2
22. Introduction to Smart MEMS
23. Magnetic Shape Memory Materials
- The order of actual teaching may be different from the above
sequence.
- Experimental demonstrations will be often used to assist teaching.
Educational Objectives1:
Objective 1 Apply principles of engineering physics, mathematics,
and dynamics systems to the smart structural systems. (A, B, C, D, E)
Objective 2 Integrate knowledge from lecture courses
in physics, mechanics, and dynamics in understanding the behavior and control
of practical dynamic systems involving smart materials (B, E).
Objective 3 To expose the rapid growing field of
intelligent materials and structures, also often called smart materials and
structures, to senior and graduate students (D, E)
Objective 4 To teach gives students necessary
theoretic knowledge to design simple applications of smart materials and
structures (A, B, C, D, E)
Program
Outcomes2:
1.1
Students will demonstrate the ability to identify major smart materials
and their properties (a, e, k).
1.2
Students will demonstrate the ability to identify which smart material
is suitable for an application as either a sensor or an actuator or both (a, e,
k).
2.1 Students will demonstrate the ability to
represent some smart (intelligent) structural systems in physical/mathematical
terms (a, c, e).
3.1 Students will demonstrate the ability to use
these new materials in innovative ways (a, e, j, k).
4.1
Students will demonstrate the
ability to design some basic applications using smart materials (e, h, k).
Reference Books:
1. Banks,
H.T., R.C. Smith, Y. Wang, “Smart Material Structures,” Masson
2. Clark,
R.L., W.R. Saunders, G.P. Gibbs, “Adaptive Structures,” John Wiley and
Sons,
3. Guran,
A. and Inman (Eds), “Smart Structures, Nonlinear Dynamics and Control,”
Prentice Hall PTR,
4. Janocha,
H. (Ed), “Adaptronics and Smart Structures,”
5. Fremond,
M. and S. Miyazaki, “Shape Memory Alloys,” Springer,
6. Otsuka,
K and C.M. Wayman (Eds), “Shape Memory Materials,”
7. Udd,
E. (Ed), “Fiber Optic Smart Structures,” John Wiley & Sons, 1995.
8. Gandhi, M.V. and B. S. Thompson, “Smart
Materials and Structures,” Chapman & Hall, 1992.
9. Culshaw, “Smart Structures and Materials”,
Artech House, 1996.
Reference Journals:
1. “Journal of Smart
Materials and Structures,” Institute of Physics.
2. “Journal of Intelligent
Material Systems and Structures,” Technomic Publishing Co, INC
Other References:
1.
“Smart Materials Bulletin,”
Elsevier Science Ltd.
2. “Annual International Symposium on Smart Structures and Materials,” Organized by SPIE (The International Society of Optical Engineering). The conference proceedings are very resourceful.
3. “Annual Symposium on Adaptive Structures and material Systems,” in ASME International Mechanical Engineering Congress & Exposition. The contents in the conference proceedings are mechanical-engineering oriented.
Evaluation:
FINAL GRADE will be comprehensive, but mainly depends on your
performance in the exams, projects, quizzes, and homework.
·
Requirements will be different for
undergraduate and graduate students.
·
Prerequisites
for undergraduate student:
System Dynamics (or equivalent)
·
Prerequisites
for graduate student: System
Dynamics (or equivalent) and Control System Design (or equivalent)
·
Matlab/Simulink is required for this course.
·
All project reports should be professionally
presented and hand in on time.
·
All project reports should be typed using a
computer word processor and all associate drawings should be done using a
software.
·
Both hard copy and electronic copy of project
reports should be handed in.
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Department’s Undergraduate Program Educational
Objectives are to produce graduates with the abilities to:
A.
apply knowledge of mathematics, science
and engineering,
B.
integrate knowledge in the practice of
engineering
C.
function successfully as an engineer in
a professional environment,
D.
function as an informed citizen and a
conscientious engineer in society, and
E.
secure employment or placement after
graduation.
The Department’s Undergraduate Program Outcomes
expect all graduates receiving the BSME degree to have: