ANTALYA BİLİM UNIVERSITY
Course Information Package

ARC 2403 - Statics and Strenght of Materials

Basic Information

Course Code:
ARC 2403
Course Name:
Statics and Strenght of Materials
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
5.00
Instructor:
Dr. Öğr. Üyesi Hamid FARROKH GHATTE

Course Objectives

Teach the basics of structural loads and modelling; the most commonly used structural systems and their behaviour under static and lateral forces, basic principles of structural design and dimension the cross-section of structural elements.

Course Content

Introduction, principles of forces, free body concept, the support conditions, internal forces of structural elements, analysis of statically determinate structures, defining a section with its center of gravity, moment of inertia, radius of gyration and section modulus of elasticity, basic concepts of stress, tension, compression, flexure, shear, bending, torsion, dimensional determination of elements of different stress conditions related to static and strength of materials are taught.

Prerequisites / Corequisites

There is no Prerequisites for this course.

Course Books / Materials / Recommended Resources

Prof. Dr. Mehmet H. Omurtag, Statik ve Mukavemet, Nobel Yayınevi, 2010Prof. Dr. Mehmet Bakioğlu, Doç. Dr. Ünal Aldemir, Doç. Dr. Abdül Hayır, Statik Çözümlü Problemler, Birsen Yayınevi, 2007.Doç. Dr. Necla Kadıoğlu, Prof. Dr. Hasan Engin, Prof. Dr. Mehmet Bakioğlu, Mukavemet Problemleri Cilt I, Cilt II, Birsen Yayınevi, 2004.

Learning Outcomes

Code Description
LO1 The students will introduce free diagrams and explain forces, moments, loads, support types, and equilibrium.
LO2 The students will introduce equilibrium equations and calculate supports and reactions.
LO3 The students will introduce truss systems and their static uncertainties and calculate their internal forces.
LO4 The students will calculate the moment of inertia and all stresses in beams.

Weekly Course Content

Week Content
1 Introduction, free body diagram
2 Force, moment, loads, supporting types, balance
3 Equations of equilibrium, support types and reactions
4 Internal force distribution
5 Internal force distribution in gerber girder and frame
6 Truss systems and statical indeterminacy
7 Analyses of truss systems
8 Midterm Exam
9 Cross section, center of gravity
10 Moment of inertia, section modulus, radius of gyration
11 Bending elements Tension - compression elements
12 Bending stresses in beams
13 Shear stresses in beams
14 Axial and bending load
15 Final Exam

Workload Calculation

Activity Count Duration (Hours) Total
Practice 10 5.00 50.00
Midterm Exam/Preparation 5 5.00 25.00
Final Exam/Preparation 5 5.00 25.00
Homework 10 5.00 50.00
Total Workload (Hours) 150
ECTS Credit (Workload / 25) 5

Assessment

# Assessment Type Contribution (%)
1 Homework %20
2 Midterm Exam %30
3 Final Exam %50
TOTAL %100

PO - LO Matrix

PO \ LO
LO1
LO2
LO3
LO4
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11
PO-12
PO-13
PO-14
PO-15
PO-16
PO-17
1
Low Contribution
2
Medium Contribution
3
High Contribution

Teaching and Learning Methods

# Method Name Description Tools
1 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2 Controversial Course Listening and comprehension, critical thinking Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3 Problem Solving * Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.
4 Technical Trip They participate in a pre-planned technical field trip and report on what they learned during the trip. Equipment located at the MGM station
5 Homework Solving and analyzing homework questions using a computer and Excel. Computer

Academic Integrity and Artificial Intelligence

Academic integrity requires students and researchers to adhere to ethical principles in knowledge production, and this framework is largely based on principles determined by the Council of Higher Education and the internal regulations of universities. The general approach is to encourage the transparent and responsible use of artificial intelligence rather than completely banning it; accordingly, students are expected to clearly state the situations in which they receive AI assistance and to improve the generated content with their own interpretations and analyses rather than directly copying it. Otherwise, using AI-generated texts without citing the source may be considered a violation of academic integrity and plagiarism.

Sustainable Development Goals

SDG 4
SDG 12