Department of Civil Engineering

CIVE 427 | Course Introduction and Application Information

Course Name

Nondestructive Testing Technologies of Historic Structures

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
CIVE 427	FALL	3	0	3	6

Prerequisites	None
Course Language	English
Course Type	ELECTIVE_COURSE
Course Level	First Cycle
Mode of Delivery	Face-To-Face
Teaching Methods and Techniques of the Course	Problem Solving Lecture / Presentation
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Gökhan Kılıç
Course Lecturer(s)	Prof. Dr. Gökhan Kılıç
Assistant(s)	Araş. Gör. Hüseyin Kürşat Çelik

Course Objectives

The purpose of this course is the basic working principles of NDT methods that are applied to historic structures and recognize the suitability of a particular NDT test method for a specific need.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Describe a systematic approach to Structural Health Monitoring process.	1.6			X
LO2	Analyze the compressive strength of in-situ masonry through the use of rebound hammer and ultrasonic pulse velocity testing.	2			X
LO3	Explain the elasticity properties of masonry through resonant frequency and ultrasonic pulse velocity testing.	1.6			X
LO4	Describe the parameters affecting the accuracy of NDT tests.	2			X
LO5	Analyze data by hand calculations and FEM.	2			X

Course Description

This course covers the general description of commonly used NDT methods to estimate strength and other properties of masonry. The tools and skills incorporated within the curriculum of this class provide the assessment of masonry structures, test techniques and working principles of surface hardness, penetration resistance, stress wave propagation methods, magnetic and electrical testing, and applications of infrared thermography and radar techniques.

Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Motivation and objectives of structural health monitoring. Working principles of smart materials used for sensors and actuators, advanced signal processing, system integration	Chapter 1. Modal Testing: Theory, Practice and Applications.	LO1
2	Piezoelectric materials	Chapter 1. Modal Testing: Theory, Practice and Applications.	LO2
3	Electrostrictive materials	Chapter 2. Modal Testing: Theory, Practice and Applications.	LO2
4	Magnetostrictive materials	Chapter 2. Modal Testing: Theory, Practice and Applications.	LO2
5	Data acquisition systems, working principles of A/D converters, measurement types	Chapter 3. Modal Testing: Theory, Practice and Applications.	LO2
6	Shape memory alloys	Chapter 3. Modal Testing: Theory, Practice and Applications.	LO3
7	Remote communication and control; alert system, cost estimation. Programming of data acquisition systems. Differences between short-term, repeated, long-term data acquisition	Chapter 4. Modal Testing: Theory, Practice and Applications.	LO3
8	Midterm Exam		-
9	Damage diagnostic methods based on electrical impedance method	Chapter 4. Modal Testing: Theory, Practice and Applications.	LO3
10	Damage diagnostic methods based on wave propagation methods	Chapter 5. Modal Testing: Theory, Practice and Applications.	LO3
11	Noise effect on measured data, minimization of noise. Correlation of results; basic model updating and optimization techniques; sensitivity analysis	Chapter 5. Modal Testing: Theory, Practice and Applications.	LO4
12	Applications of structural health monitoring in airspace including sandwich composite structures, civil infrastructures, pipelines, rotating machinery	Chapter 6. Modal Testing: Theory, Practice and Applications.	LO5
13	Advanced signal processing methods	Chapter 6. Modal Testing: Theory, Practice and Applications.	LO5
14	Semester project presentations of each group		-
15	Semester Review		-
16	Final Exam		-

Course Notes/Textbooks	Ewins D. J. (2009). Modal Testing: Theory Practice and Applications. 2nd edition. John Wiley & Sons. ISBN: 978-0-863-80218-8.
Suggested Readings/Materials	Helmut Wenzel; Dieter Pichler; Ambient Vibration Monitoring. John Wiley & Sons Ltd. 2005. ISBN: 9780470024300.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5
Homework / Assignments	1	20		X		X
Presentation / Jury	1	20	X		X		X
Midterm	1	20	X	X	X
Final Exam	1	40			X	X	X
Total	4	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	-	-	-
Study Hours Out of Class	14	3	42
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	5	3	15
Presentation / Jury	1	25	25
Project	-	-	-
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	20	20
Final Exam	1	30	30
		Total	180

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics
	6	The ability to apply this knowledge to solve complex engineering problems			LO1 LO3
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.				LO2 LO4 LO5
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.