JOURNAL ARTICLE

A unified educational mobile application to aid in teaching solid mechanics using interactive Mohr's circle.

  • Published In: International Journal of Mechanical Engineering Education, 2025, v. 53, n. 1. P. 143 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Campos, Mikaelly dos Santos; Rodrigues, Marcos Antonio Campos; Camargo, Rodrigo Silveira; Kiepper, Leonardo Silveira 3 of 3

Abstract

The article focuses on the development and features of a new interactive mobile application designed to teach Mohr's circle and its applications in plane stress, plane strain, and moment of inertia for engineering students. Developed for the Android system using Java and Android Studio, the app offers three modules that allow users to manipulate differential elements and cross-sections through touch gestures, dynamically visualizing stress, strain, and inertia transformations in real time. The application addresses limitations of traditional textbooks and existing software by providing enhanced interactivity, enabling students to better understand principal directions, principal stresses/strains, and moments of inertia through direct manipulation and visualization. Validated against established literature examples and used in solid mechanics courses at the Federal University of Espírito Santo, the app aims to improve learning outcomes by making fundamental solid mechanics concepts more accessible and engaging.

Additional Information

  • Source:International Journal of Mechanical Engineering Education. 2025/01, Vol. 53, Issue 1, p143
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:0306-4190
  • DOI:10.1177/03064190231214173
  • Accession Number:181053315
  • Copyright Statement:Copyright of International Journal of Mechanical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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