IMU647 - STRUCTURAL HEALTH MONITORING
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| STRUCTURAL HEALTH MONITORING | IMU647 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | There are no prerequisites. | |||||
| Course language | English | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer | |||||
| Instructor (s) | To be defined by the Department. | |||||
| Course objective | The primary objective of this course is to examine the use of long term monitoring systems to keep structures under constant surveillance in order to ensure structural integrity. It also aims to cover the concepts of rapid after disaster assessment of civil infrastructure. | |||||
| Learning outcomes |
| |||||
| Course Content | Introduction to Structural Health Monitoring. Overview of Structural Dynamics. Operational Evaluation of Structures. Experimental Modal Analysis. Operational Modal Analysis. Data Acquisition Systems. Signal Processing Basics. Feature Extraction. Data Normalization. Rapid Damage Detection. Long-term Periodic Monitoring. Statistical Model Development. Finite Model Updating. | |||||
| References | 1. Sensor Technologies for Civil Infrastructures: Applications in Structural Health Monitoring. M.L. Wang, J.P. Lynch, H. Sohn. Woodhead Publishing. 2014. 2. Structural Sensing, Health Monitoring, and Performance Evaluation. D. Huston. CRC Press, Taylor and Francis Group. 5th Edition. 2010. 3. Health Assessment of Engineered Structures: Bridges, Buildings, and Other Infrastructure. A. Haldar. World Scientific. 2013. 4. Other supplementary materials | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to Structural Health Monitoring |
| Week 2 | Overview of Structural Dynamics |
| Week 3 | Operational Evaluation of Structures |
| Week 4 | Experimental Modal Analysis |
| Week 5 | Operational Modal Analysis |
| Week 6 | Midterm Exam I |
| Week 7 | Data Acquisition Systems |
| Week 8 | Signal Processing Basics |
| Week 9 | Feature Extraction |
| Week 10 | Data Normalization |
| Week 11 | Rapid Damage Detection |
| Week 12 | Midterm Exam II |
| Week 13 | Long-term Periodic Monitoring |
| Week 14 | Statistical Model Development |
| Week 15 | Finite Model Updating |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 5 | 15 |
| Presentation | 0 | 0 |
| Project | 1 | 15 |
| Seminar | 0 | 0 |
| Midterms | 1 | 30 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 0 |
| Percentage of final exam contributing grade succes | 0 | 0 |
| Total | 0 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 12 | 5 | 60 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 1 | 50 | 50 |
| Homework assignment | 5 | 8 | 40 |
| Midterms (Study duration) | 1 | 28 | 28 |
| Final Exam (Study duration) | 1 | 20 | 20 |
| Total Workload | 34 | 114 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Ability to use theoretical and applied knowledge in mathematics, science, and Civil Engineering fields in solving complex engineering problems. | X | ||||
| 2. Ability to identify, formulate and solve complex engineering problems. | X | ||||
| 3. Ability to design a complex system/product to meet specific requirements under realistic conditions; can apply modern design methods. | X | ||||
| 4. Ability to select and use modern techniques in the analysis and solution of complex problems; can use information technologies effectively. | X | ||||
| 5. Ability to design, conduct experiments, collects data, analyze and interpret results for investigating complex engineering problems or Civil Engineering Topics. | X | ||||
| 6. Ability to work intra/interdisciplinary, individually or in teams. | X | ||||
| 7. Ability to communicate effectively, orally and in writing; knows at least one foreign language, especially English; write and understand reports, make effective presentations, give/receive clear instructions. | X | ||||
| 8. Awareness of the necessity of lifelong learning; follow the developments in science and technology and renew oneself. | X | ||||
| 9. Acts in accordance with ethical principles, know professional and ethical responsibility and standards. | X | ||||
| 10. Knowledge in project/risk management; awareness of entrepreneurship and innovation; information about sustainable development. | X | ||||
| 11. Knowledge on effects of engineering practices on health, environment and safety in universal/social dimensions; awareness of the legal consequences of technical solutions. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest