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Applied Sciences
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Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures
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Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 4432

Special Issue Editor

Prof. Dr. Chongdu Cho

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea
Interests: mechanics of composite materials; finite element method; computational stress analysis; thermal stress
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to introduce a Special Issue on "Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures". This Special Issue aims to explore the complex interplay between numerical simulations and thermo-mechanical behaviors of composite structures. Composites have revolutionized various industries, and this Special Issue provides a platform for researchers, engineers, and experts to share their research, methodologies, and insights into the simulation and analysis of these materials under thermo-mechanical conditions.

The goal of this Special Issue is to gain insights into the performance and limitations of composite materials in practical applications, which may include aerospace, automotive, civil engineering, or other industries where composite materials are commonly used. This research could have implications for optimizing the design and manufacturing processes of composite structures to enhance their durability, efficiency, and safety in real-world environments.

Original research articles, reviews, and perspectives are solicited for this Special Issue, addressing a wide array of topics within the domain of numerical simulation and thermo-mechanical investigation of composite structures.

The scope includes, but is not limited to:

  • Advanced numerical modeling: innovative numerical methods for simulating composite material behaviors.
  • Composite material characterization: experimental techniques and data for accurate numerical modeling.
  • Failure analysis: simulation-driven studies on composite failure mechanisms and modes.
  • Optimization techniques: using numerical simulations to optimize composite design and performance.
  • Durability and life prediction: numerical approaches to assessing the longevity of composite structures under thermal loads.
  • Manufacturing simulations: simulating manufacturing processes for predicting the influence of thermo-mechanical stresses.
  • Aerospace and automotive applications: thermo-mechanical simulation of composite materials in high-performance industries.

Prof. Dr. Chongdu Cho
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • composite materials
  • finite element method
  • computational stress analysis
  • thermal stress
  • mechanical properties
  • multi-physics analysis
  • heat transfer
  • material characterization
  • composite manufacturing

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Editorial

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4 pages, 209 KiB  
Editorial
Special Issue: Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures
by Vivek Kumar Dhimole and Chongdu Cho
Appl. Sci. 2023, 13(21), 11757; https://doi.org/10.3390/app132111757 - 27 Oct 2023
Cited by 1 | Viewed by 1893
Abstract
Material behavior is the key aspect of composite research [...] Full article
(This article belongs to the Special Issue Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures)

Research

Jump to: Editorial

21 pages, 5157 KiB  
Article
Thermo-Mechanical Identification of Orthotropic Engineering Constants of Composites Using an Extended Non-Destructive Impulse Excitation Technique
by Hugo Sol, Jun Gu, Guillermo Meza Hernandez, Gulsen Nazerian and Hubert Rahier
Appl. Sci. 2025, 15(7), 3621; https://doi.org/10.3390/app15073621 - 26 Mar 2025
Viewed by 272
Abstract
Composite materials are increasingly used in various vehicles and construction parts, necessitating a comprehensive understanding of their behavior under varying thermal conditions. Measuring the thermo-mechanical properties with traditional methods such as tensile testing or dynamical mechanical analysis is often time-consuming and requires costly [...] Read more.
Composite materials are increasingly used in various vehicles and construction parts, necessitating a comprehensive understanding of their behavior under varying thermal conditions. Measuring the thermo-mechanical properties with traditional methods such as tensile testing or dynamical mechanical analysis is often time-consuming and requires costly apparatus. This paper introduces an innovative non-destructive method for identifying the orthotropic engineering constants of composite test sheets as a function of temperature. The proposed technique represents an advancement of the conventional impulse excitation technique, incorporating an automated pendulum exciting mechanism and creating digital twins of the test sheets. The automated measurement of the impulse response function yields resonance frequencies and damping ratios at specified temperatures. These values are subsequently utilized in digital twins for identification of the engineering constants. The method is fully automated across predefined temperature intervals and can be seamlessly integrated into existing climate chambers equipped with remote control facilities. The results obtained from the described measurement technique were applied to a bi-directionally glass-reinforced thermoplastic PA6 matrix in a tested temperature range of −20 °C to 60 °C, revealing that the complex engineering constants are significantly affected by temperature. Full article
(This article belongs to the Special Issue Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures)
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14 pages, 13797 KiB  
Article
Mask R-CNN-Based Stone Detection and Segmentation for Underground Pipeline Exploration Robots
by Humayun Kabir and Heung-Shik Lee
Appl. Sci. 2024, 14(9), 3752; https://doi.org/10.3390/app14093752 - 28 Apr 2024
Cited by 4 | Viewed by 1676
Abstract
Stones are one of the primary objects that impede the normal activity of underground pipelines. As human intervention is difficult inside a narrow underground pipe, a robot with a machine vision system is required. In order to remove the stones during regular robotic [...] Read more.
Stones are one of the primary objects that impede the normal activity of underground pipelines. As human intervention is difficult inside a narrow underground pipe, a robot with a machine vision system is required. In order to remove the stones during regular robotic inspections, precise stone detection, segmentation, and measurement of their distance from the robot are needed. We applied Mask R-CNN to perform an instant segmentation of stones. The distance between the robot and the segmented stones was calculated using spatial information obtained from a lidar camera. Artificial light was used for both image acquisition and testing, as natural light is not available inside the underground pipe. ResNet101 was chosen as the foundation of the Mask R-CNN, and transfer learning was utilized to shorten the training time. The experimental results of our model showed that the average detection precision rate reached 92.0; the recall rate was 90.0%; and the F1 score rate reached 91.0%. The distance values were calculated efficiently with an error margin of 11.36 mm. Moreover, the Mask R-CNN-based stone detection model can detect asymmetrically shaped stones in complex background and lighting conditions. Full article
(This article belongs to the Special Issue Numerical Simulation and Thermo-Mechanical Investigation of Composite Structures)
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