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日期：2021-10-15 10:04

ME 273 Finite Element Methods in Engineering

Department of Mechanical Engineering

ME 273-Finite Element Methods in Engineering, Fall 2021

Course and Contact Information

Class Days/Time: No days/time; i.e. asynchronous with few optional in-person sessions

Optional Discussion Sessions: Tu & Th 16:30-17:30 via Zoom: https://sjsu.zoom.us/my/armani

Classroom: Engineering 213/215 for in-person sessions

Prerequisites: BSME or Instructor Consent

Instructor: Dr. Amir Armani

Office Location: Engineering 310E

Telephone: 408-924-8354

Course Format

This is a hybrid class, with mostly asynchronous online sessions and a few optional in-person sessions. It requires use of

the Canvas learning management system, accessed via https://sjsu.instructure.com. Course materials, including syllabus,

lecture videos, slides, assignments, and projects will be gradually uploaded on Canvas. Successful completion of course

requirements necessitates accessing the course website frequently, typically at least twice a week on a regular basis.

Technical support for Canvas is available at http://www.sjsu.edu/at/ec/canvas. Important communications regarding this

class may be sent via Canvas or to email addresses listed in MySJSU, and thus each student is expected to maintain up-to-

date contact information in both systems.

Course Description http://info.sjsu.edu/web-dbgen/catalog/courses/ME273.html

Introduction into various finite element methods for developing stiffness equation. Truss, beam, 2-D, 3-D and

axisymmetric elements. Applications and case studies.

Course Learning Outcomes

Upon successful completion of this course, students will be able to:

1. Describe the Finite Element Analysis (FEA) procedure.

2. Identify the application and characteristics of FEA elements such as bars, beams, planar elements, and common 3-

D elements.

3. Develop the stiffness equation for common FEA elements, and assemble element stiffness equations in to a global

equation.

4. Identify and apply suitable boundary conditions to a global structural equation, and reduce it to a solvable form.

5. Apply existing 3-D computer-aided design (CAD) skills to prepare models for finite element analysis.

6. Set up and solve 1-D, 2-D, and 3-D structural problems using commercial FEA tools.

7. Optimize engineering parts using FEA.

8. Interpret results obtained from FEA, not only in terms of conclusions, but also awareness of limitations.

ME 273 Finite Element Methods in Engineering Page 2 of 5

Program Learning Outcomes

The following program learning outcomes (PLOs) are designated for ME 273:

1. A strong foundation beyond the undergraduate level in their chosen focus area as well as in mathematics, basic

science and engineering fundamentals, to successfully compete for technical engineering positions in the local,

national and global engineering market, advance in their current position or pursue doctoral studies.

2. Professional and lifelong learning skills to be able to apply and extend theory to solve practical contemporary

engineering problems.

3. The expertise necessary to design mechanical engineering systems with possible specialization in areas such as:

energy systems, electronics cooling, electronics packaging & reliability, finite element analysis & CAD,

mechatronics & MEMS, product design, robotics, automation & manufacturing.

Required Textbook

A First Course in the Finite Element Method, 6th ed., by D. L. Logan, Cengage Learning, 2017, ISBN

9781305635111.

Supplementary Textbooks

1. Finite Element Modeling and Simulation with ANSYS Workbench, by X. Chen & Y. Liu, CRC Press, 2014, ISBN

9781439873847.

2. Finite Element Simulation with ANSYS Workbench 17, by H. Lee, SDC Publications, 2017, ISBN

9781630570880.

Course Requirements and Assignments

SJSU classes are designed such that in order to be successful, it is expected that students will spend a minimum of forty-

five hours for each unit of credit (normally three hours per unit per week), including preparing for class, participating in

course activities, completing assignments, and so on. More details about student workload can be found in University

Policy S12-3 at http://www.sjsu.edu/senate/docs/S12-3.pdf.

Programming Project: Students are responsible for working in a team to write an FEA code using any programming

language. Details will be provided via separate documentation.

ANSYS Project: Students are responsible for working in a team to do a project using ANSYS. Details will be

provided via separate documentation.

ANSYS Presentation: Students are responsible for working in a team to give a presentation about the topic of their

project. Details will be provided via separate documentation.

Homework: Homework problems will be assigned corresponding to lecture topics and reading assignments from the

textbooks. Late submission receives zero credit. See “Exceptions” below regarding petition for extenuating

circumstances.

? Participation Tasks: Students are expected to watch all the lecture videos within one week from their upload date.

? Exams: There are one midterm and one final exam. Exams will be proctored and students are expected to turn on their

cameras. If cheating is suspected, the proctored videos may be used for further inspection and may become part of the

student’s disciplinary record. All students are expected to complete exams as scheduled. There are no make-up exams,

but for truly unavoidable and extenuating circumstances with firm documentation, a student may petition to have

weight redistributed to the final exam. Disability accommodations must be coordinated through the Accessible

Education Center http://www.sjsu.edu/aec.

Grading Policy

The course grade will be weighted as follows:

10% for Programming Project

15% for ANSYS Project

10% for ANSYS Presentation

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10% for Homework

5% for Participation Tasks

20% for Midterm Exam

30% for Final Exam

The overall course grade is calculated from a weighted sum of all graded components. Graded percentage points

correspond to letter grade as follows:

93.0-100 A | 90.0-92.9 A- | 87.0-89.9 B+ | 83.0-86.9 B | 80.0-82.9 B-

77.0-79.9 C+ | 73.0-76.9 C | 70.0-72.9 C- | 0-69.9 F

Exceptions: Any grading appeals or late petitions must be petitioned promptly in writing (or email). Exceptions will

normally be evaluated at the very end of the semester in context with semester track record and all other exceptions class-

wide. Special consideration for truly unavoidable and extenuating circumstances will depend on timing and strength of

supporting documentation (e.g., doctor's note, jury summons, military orders).

University Policy F13-1 at http://www.sjsu.edu/senate/docs/F13-1.pdf states: “All students have the right, within a

reasonable time, to know their academic scores, to review their grade-dependent work, and to be provided with

explanations for the determination of their course grades.”

University Policies

General Expectations, Rights and Responsibilities of the Student

As members of the academic community, students accept both the rights and responsibilities incumbent upon all members

of the institution. Students are encouraged to familiarize themselves with SJSU’s policies and practices pertaining to the

procedures to follow if and when questions or concerns about a class arises. See University Policy S90–5 at

http://www.sjsu.edu/senate/docs/S90-5.pdf. More detailed information on a variety of related topics is available in the

SJSU catalog, at http://info.sjsu.edu/web-dbgen/narr/catalog/. In general, it is recommended that students begin by

seeking clarification or discussing concerns with their instructor. If such conversation is not possible, or if it does not

serve to address the issue, it is recommended that the student contact the Department Chair as a next step.

Dropping and Adding

Students are responsible for understanding the policies and procedures about add/drop, grade forgiveness, etc. Refer to the

current semester’s Catalog Policies section at http://info.sjsu.edu/static/catalog/policies.html. Add/drop deadlines can be

found on the current academic year calendars document on the Academic Calendars webpage at

http://www.sjsu.edu/provost/services/academic_calendars/. The Late Drop Policy is available at

http://www.sjsu.edu/aars/policies/latedrops/policy/. Students should be aware of the current deadlines and penalties for

dropping classes.

Information about the latest changes and news is available at the Advising Hub at http://www.sjsu.edu/advising/.

Consent for Recording of Class and Public Sharing of Instructor Material

University Policy S12-7, http://www.sjsu.edu/senate/docs/S12-7.pdf, requires students to obtain instructor’s permission to

record the course and the following items to be included in the syllabus:

“Common courtesy and professional behavior dictate that you notify someone when you are recording him/her. You

must obtain the instructor’s permission to make audio or video recordings in this class. Such permission allows the

recordings to be used for your private, study purposes only. The recordings are the intellectual property of the

instructor; you have not been given any rights to reproduce or distribute the material.”

“Course material developed by the instructor is the intellectual property of the instructor and cannot be shared

publicly without his/her approval. You may not publicly share or upload instructor generated material for this course

such as exam questions, lecture notes, or homework solutions without instructor consent.”

ME 273 Finite Element Methods in Engineering Page 4 of 5

Academic integrity

Your commitment, as a student, to learning is evidenced by your enrollment at San Jose State University. The University

Academic Integrity Policy S07-2 at http://www.sjsu.edu/senate/docs/S07-2.pdf requires you to be honest in all your

academic course work. Faculty members are required to report all infractions to the office of Student Conduct and Ethical

Development. The Student Conduct and Ethical Development website is available at http://www.sjsu.edu/studentconduct/.

Campus Policy in Compliance with the American Disabilities Act

If you need course adaptations or accommodations because of a disability, or if you need to make special arrangements in

case the building must be evacuated, please inform me in writing as soon as possible (email acceptable). Presidential

Directive 97-03 at http://www.sjsu.edu/president/docs/directives/PD_1997-03.pdf requires that students with disabilities

requesting accommodations must register with the Accessible Education Center (AEC) at http://www.sjsu.edu/aec to

establish a record of their disability.

Student Technology Resources

Computer labs for student use are available in the Academic Success Center at http://www.sjsu.edu/at/asc/ located on the

1st floor of Clark Hall and in the Associated Students Lab on the 2nd floor of the Student Union. Additional computer

labs may be available in your department/college. Computers are also available in the Martin Luther King Library. A wide

variety of audio-visual equipment is available for student checkout from Media Services located in IRC 112. These items

include DV and HD digital camcorders; digital still cameras; video, slide and overhead projectors; DVD, CD, and

audiotape players; sound systems, wireless microphones, projection screens and monitors.

SJSU Writing Center

The SJSU Writing Center is located in Clark Hall, Suite 126. All Writing Specialists have gone through a rigorous hiring

process, and they are well trained to assist all students at all levels within all disciplines to become better writers. In

addition to one-on-one tutoring services, the Writing Center also offers workshops every semester on a variety of writing

topics. To make an appointment or to refer to the numerous online resources offered through the Writing Center, please

see http://www.sjsu.edu/writingcenter.

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Tentative Course Schedule

Week Topics

1 Course organization; Introduction

2 Linear Algebra; FEA Procedure (Chapter 1)

3 Stiffness Method (Chapter 2); Spring Element (Chapter 2)

4 Spring Element (Chapter 2); Trusses (Chapter 3)

5 Trusses (Chapter 3)

6 Beams (Chapter 4)

7 Introduction to 2D Elasticity; Plane Solids (Chapter 6)

8 Plane Solids (Chapter 6)

9 Review and Midterm Exam

10 Practical Considerations (Chapter 7); Sensitivity Analysis and Optimization

11 ANSYS

12 ANSYS

13 ANSYS

14 ANSYS

15 Project Presentation