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Structural Health Monitoring of Rotating Structures Using a Mobile Digital Image Correlation Platform
No full textDigital Image Correlation has proven itself to be a highly versatile and accurate method to measure 2D and 3D displacement, deformation, and strain in a wide range of structures. A major advantage of this technology is that it is a non-contact, full-field measurement technique; it measures phenomena across the entire target without having to attach sensors directly to the object. Despite the ability to measure many static and dynamic phenomena, the cameras and data acquisition equipment are almost exclusively set up using a traditional static configuration. The cameras are often mounted on tripods and remain positioned in the same location while taking measurements. Such an immobile measurement platform prevents DIC from being employed to measure rotating structures during operation due to accessibility restraints. An unmanned aerial vehicle carrying digital image correlation cameras has high mobility and can easily access the regions on structures that would otherwise be too expensive or dangerous to measure with conventional static camera setups. This paper presents the development and testing of a prototype mobile digital image correlation platform. The resulting platform carries all of the necessary equipment on-board the drone and can be controlled by a single user with a remote control. It is shown that the prototype drone platform is capable of taking accurate and repeatable measurements while airborne. The current work is the first body of research that uses a DIC system mounted to a drone to perform vibration measurements and to collect operating data from a rotating structure
11/28/2018: Program Change - Applied Statistics Minor
No full textCurrent
Required courses
MATH-101, MATH-102, MATH-203, (MATH-258 or IME-332), MATH327, MATH-330
Elective courses (choose two)
IME-422, IME-471, IME-472, IME-473, MATH-427, MATH-428
Proposed
Required courses
MATH-101, MATH-102, MATH-203, MATH-258, MATH327, MATH-330
Eliminated: (MATH-258 or IME-332) requirement as MATH-258 is a prerequisite for IME-332
Elective courses (choose two)
IME-332, IME-422, IME-423, IME-471, IME-472, IME-473, IME-476, MATH-427, MATH-428
Some IME courses were added as possible electives, they all add to the knowledge of statistics.
Total of 32 CR Hours (unchanged
10/31/2018: Program Change EE 432
No full textChange EE 432, Feedback Control Systems from an elective Engineering Topics course in the EE Program curriculum to a required Engineering Topics course in the EE Program curriculum.
Rationale: This proposed change ensures that all students in the EE program have a foundation in the theoretical and practical aspects of modern control systems engineering centrally important to technological advancement and automation in nearly every engineering discipline. As a required EE course, EE 432 would play a key role in supporting ABET program assessment of ABET 2019-20 Student Outcomes 1, 2, and 6 *. Furthermore, this proposed change is aligned with strategic objectives of the College of Engineering to develop programs in advanced controls/connected and autonomous vehicles.
The total credits of Engineering Topics in the EE program would remain unchanged at 64 credits. The EE Program would retain a high degree of flexibility with 12 credits of EE electives, 4 credits of EE or CE electives plus 12 credits of technical electives.
This change would be applied to the program requirements of students in the EE program that have not yet reached Senior standing as of 1/1/2019.
* ABET 2019-20 Student Outcomes 1, 2, and 6: 1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics. 2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors. 6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
EE Program Curriculum; Engineering Topics section with proposed change highlighted in green
Engineering Topics
CE-210
Digital Systems I
4
CE-320
Microcomputers I
4
ECE-101
MATLAB and C Programming
4
EE-210 & EE-211
Circuits I and Circuits I Lab
4
EE-240
Electromagnetic Fields and Applications
4
EE-310
Circuits II
4
EE-320 & EE-321
Electronics I and Electronics I Laboratory
4
EE-336
Continuous-Time Signals and Systems
4
EE-338
Discrete-Time Signals and Systems
4
+ EE-432
Feedback Control Systems
+4
EE-490
Senior Electrical Engineering Design Project
4
IME-100
Interdisciplinary Design and Manufacturing
4
Electrical Engineering Electives 16 ��
12
Electrical or Computer Engineering Elective
4
Credit Hours Subtotal (unchanged):
6
A Multi-view Optical Technique to Obtain Mode Shapes of Structures
No full textThe vibration characteristics of a structure are conventionally obtained by exciting the structure using an impact hammer or a mechanical shaker and measuring the response using accelerometers. However, using accelerometers for vibration measurement may induce mass loading effects and does not provide the full-field response of the structure. Also, sometimes it is challenging to excite measurement points in all the three x, y and z directions using an impact hammer and obtaining the 3D mode shapes becomes nearly impossible. Digital Image Correlation (DIC) has provided a solution to these problems because it provides the full-field response of the structure, is a non-contacting technique, and does not induce any mass loading effects. However, the DIC technique (similar to other optical methods) is limited by the field of view of the cameras and can only measure the response on the parts of the structure that cameras have a line of sight. Thus, this technique cannot be used to obtain the mode shapes of large and complex structures. In this paper, we have proposed and validated a new approach to obtain a uniform scaling factor that enables us to stitch the mode shapes from different views of cameras. This technique enables us to extract the mode shapes of complex structures using only a single pair of cameras. To show the merit of the proposed technique, the mode shapes of a fender are extracted using this optical based technique. The fender is excited with a known force using an impact hammer. A pair of high-speed cameras is used to measure the response of the structure limited to its field of view. The mode shape of every field of view is then obtained based on the excitation force and measured response using the digital signal processing theory. Further, the mode shapes of individual fields of view are stitched using a minimum of three reference points in the region common to the adjacent field of view to obtain the mode shapes of the entire structure. The proposed approach expands the applications of digital image correlation technique in the field of structural dynamics and enables us to extract mode shapes of a complex structure using this optical technique