SEM Annual Conference


 
2022 SEM Annual Conference and Exposition on Experimental and Applied Mechanics  |  June 13–16, 2022
Omni William Penn Pittsburgh  |  Pittsburgh, PA

 


 

The SEM Annual Conference and Exposition focuses on all areas of research and applications pertaining to experimental mechanics, and has evolved to encompass the latest technologies supporting optical methods; additive & advanced manufacturing; dynamic behavior of materials; biological systems; micro-and nano mechanics; fatigue and fracture; composite and multifunctional materials; residual stress; inverse problem methodologies; thermomechanics; and time dependent materials.

This broad focus on experimental mechanics includes topics in digital image and digital volume correlation techniques, speed impacts to shock and blast, durability and extreme environmental effects, model/experiment integration, materials for advanced manufacturing, damage detection and non destructive testing, tools spanning various length scales and new experimental techniques and methods to address real-life applications, research and collaborative efforts across all disciplines complementing experimental mechanics.

 Submission/Author Toolkit 

Acceptance notices were emailed to submitting authors on December 14, 2021.
Download a Call for Papers: Click Here Upload/Edit Submission: Click Here Author Toolkit: Click Here
 

Below is a link to the Annual Final Program. All times are Eastern Standard Time (EST UTC−05:00). This schedule is subject to change. Note: You must be logged in to download the PDF.

Final Program

Digital Twin in Experimental Mechanics

A Digital Twin is a virtual duplicate of a real object or process, this concept is nowadays constantly used in many engineering fields, for instance manufacturing, aerospace, automotive, etc. to improve the quality and reliability of processes and reduce costs. In experimental mechanics, digital twins of real tests can be extremely useful for reducing the experimental uncertainty, understanding the main sources of error and optimizing the experimental set-up. Moreover, virtual experiments are becoming a standard to validate novel experimental procedures like identification methods, model calibration techniques etc. Finally, in the era of Machine Learning, virtual experiments are a fundamental tool to generate large data sets to be used, for instance, in deep neural networks training and validation. The course will teach how to create a virtual experiment that simulate properly a real one, including all experimental uncertainties, starting from numerical data. The main problems and the common mistakes that need to be avoided will be treated in detail. The course will be divided into a theoretical session in which the main approaches and best practices will be described and a practical session where the participants will create an example of digital twin using Python and/or Matlab scripts. The course is targeted to PhD students, postdoc and researchers with a basic knowledge of experimental mechanics.

Instructors:
Prof. Marco Rossi–Università Politecnica delle Marche, Italy;
Dr. Attilio Lattanzi–Università Politecnica delle Marche, Italy

Course Schedule:
Theoretical Session
9:00 a.m.– 9:45 a.m. Digital twin in experimental mechanics: why it is useful, where it can be applied, examples in different fields ranging from test optimization to machine learning.
9:45 a.m.– 10:30 a.m. Detailed discussion of a case study: optimizing a Iosipescu test for the identification of the orthotropic properties of composites.
10:30 a.m.– 11:15 a.m. Deconstructing a digital twin: implementation, required routines, numerical artifacts, common mistakes.
11:15 a.m.– 12:00 p.m. Post-processing: how to get the most out of your digital twin.
Practical Session
1:30 p.m.– 3:00p.m.: First part: building a digital twin of an actual experiment.
3:30 p.m.– 5:00 p.m. Second part: data processing and post elaboration.

Date/Time: Sunday, June 12, 2022, 9:00 a.m. – 5:00 p.m.
Cost: $500/$250 student

Residual Stress 101

Description:
This course aims to cover a broad, practical introduction to residual stresses for students, researchers, and industrialists with an interest in the subject. We cover the most practically important aspects of residual stress, things that are fairly simple but often counterintuitive, poorly understood, or just not widely known. Most of this material is not covered by coursework for engineers or material scientists. We will answer the most important questions: What are residual stresses and where do they come from? What effects do they have? How are the stress components throughout a body interrelated? How can you measure residual stresses? How can you use residual stress knowledge in models to predict failures or other issues? How can you use superposition to simplify many calculations? Along the way we will point out pitfalls to avoid and mistakes that appear in the literature.

Instructors:
Michael Prime–Los Alamos National Laboratory;
Michael Hill–University of California, Davis;
Adrian DeWald–Hill Engineering;
Iuliana Cernatescu–Pratt & Whitney;
Jeff Bunn–Oak Ridge National Laboratory;
Gary Schajer–University of British Columbia

Outline:
1. Introduction of instructors and students
2. Introduction and why do we care

  • a. What are residual stresses?
  • b. How do they arise?
  • c. What do they do and why do we care?
  • d. Fatigue, fracture, distortion, the effect on property measurements

3. Practical Mechanics of Residual Stress

  • a. Stress, strain, elastic strain as applied to residual stress
  • b. What makes an admissible residual stress field and why does that matter?
  • c. Global equilibrium
  • d. Boundary Conditions
  • e. Local equilibrium: stress components are not independent
  • f. Superposition and calculating deformations and changes in residual stress as, for example, a crack grows

4. Residual Stress Measurement

  • a. Introduction
  • b. Relaxation methods
  • c. Optical methods (Holography, DIC, etc.)
  • d. Neutron Diffraction
  • e. X-ray Diffraction

5. Residual Stress Applications.
6. Accounting for residual stress in fatigue analysis
7. Engineered residual stress


Date/Time: Sunday, June 12, 2022, 9:00 a.m. – 5:00 p.m.
Cost: $500/$250 student

 

 
 
 

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