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Advances in Composite Materials: Non-destructive Testing and Multi-Scale Analysis of Structures and Properties

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Composites".

Deadline for manuscript submissions: 10 August 2024 | Viewed by 2138

Special Issue Editors

School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Interests: composite materials; structural design; property characterization; multi-scale analysis; machine learning; non-destructive testing
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Guest Editor
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Interests: non-destructive testing; damage detection and structural health monitoring; computational modeling and simulation; multi-scale analysis; environmental effects on composite materials
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Guest Editor
School of Architecture and Civil Engineering, Huizhou University, Huizhou, China
Interests: defect detection; non-destructive testing; concrete modeling; computer vision

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Guest Editor
College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China
Interests: structural health monitoring; composite structures; residual life assessment; lidar for structure inspection

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Guest Editor
Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA
Interests: fault detection and diagnosis; smart materials and sensors; fatigue; fracture mechanics; residual life assessment; numerical simulations and machine learning

Special Issue Information

Dear Colleagues,

With the rapid development of society and technology, the activities of outer space exploration and population flow and transportation have become more frequent in recent years, which has increased the demand for high-performance and more durable structures. Composite materials possess outstanding properties, including low weight, high strength, fatigue resistance, and tunable designs, compared with traditional engineering materials. High-performance composite materials could effectively improve the load-bearing capacity of structures, reduce self-weight, and facilitate installation, which have been widely used in airplane, automobile, transportation, civil, and other engineering fields. Meanwhile, the increasing applications of composite materials reduce the consumption of non-renewable resources and carbon emissions and contribute to sustainable development, which are consistent with the growing requirements of green and low-carbon circular development systems. During long-term service life, composite applications are subjected to complicated loading and environmental conditions, which result in structural defects, including fiber fracture, matrix crack, and fiber/matrix interfacial debonding, as well as properties degradation of composite materials, and eventually leads to structural failure. Using the integration of disparate techniques, including non-destructive testing (NDT) and multi-scale approaches, this enables the characterization and analysis of composite structures and properties at different length scales, which contributes to the understanding and prediction of durability and service safety of composite applications. 

This Special Issue aims to focus on the characterization and analysis of structures and properties of composite materials at different length scales, using the NDT, multi-scale, together with artificial intelligent approaches, including ultrasonic testing, acoustic emission technique, radiographic testing, computer vision inspection, theoretical calculations, constitutive modeling and simulation, molecular simulations, machine learning, etc.  We aim to particularly focus on the joint efforts of multidisciplinary techniques to characterize the structural defects and properties degradation of the composites, including, but not limited to, the following subjects:

  • Defect characterization and detection of composite materials at multiple scales;
  • Structural health monitoring of composite structures via machine learning;
  • Multi-scale characterization and modeling of composite material degradation;
  • Relationship between structural defect and properties degradation;
  • Artificial intelligence (AI)-assisted defect detection and properties prediction;
  • Long-term durability and service safety of composite materials.

Dr. Lik-Ho Tam
Dr. Guoqiang Cai
Dr. Qiwen Qiu
Dr. Xinchen Zhang
Dr. Pu Xie
Guest Editors

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. Materials 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 2600 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
  • composite structure
  • defect characterization and detection
  • structural health monitoring
  • properties degradation
  • durability
  • NDT technique
  • multi-scale analysis
  • artificial intelligence

Published Papers (2 papers)

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Research

14 pages, 4461 KiB  
Article
Freeze–Thaw Damage Characteristics of Concrete Based on Compressive Mechanical Properties and Acoustic Parameters
by Dongye Lv, Hanbing Liu, Feng He, Wensheng Wang, Qiang Miao, Hanjun Li, Fuen Wang, Jing Zhao and Chengwei Shi
Materials 2024, 17(5), 1010; https://0-doi-org.brum.beds.ac.uk/10.3390/ma17051010 - 22 Feb 2024
Viewed by 745
Abstract
Concrete is a versatile material widely used in modern construction. However, concrete is also subject to freeze–thaw damage, which can significantly reduce its mechanical properties and lead to premature failure. Therefore, the objective of this study was to assess the laboratory performance and [...] Read more.
Concrete is a versatile material widely used in modern construction. However, concrete is also subject to freeze–thaw damage, which can significantly reduce its mechanical properties and lead to premature failure. Therefore, the objective of this study was to assess the laboratory performance and freeze–thaw damage characteristics of a common mix proportion of concrete based on compressive mechanical tests and acoustic technologies. Freeze–thaw damage characteristics of the concrete were evaluated via compressive mechanical testing, mass loss analysis, and ultrasonic pulse velocity testing. Acoustic emission (AE) technology was utilized to assess the damage development status of the concrete. The outcomes indicated that the relationships between cumulative mass loss, compressive strength, and ultrasonic wave velocity and freeze–thaw cycles during the freezing–thawing process follow a parabola fitting pattern. As the freeze–thaw damage degree increased, the surface presented a trend of “smooth intact surface” to “surface with dense pores” to “cement mortar peeling” to “coarse aggregates exposed on a large area”. Therefore, there was a rapid decrease in the mass loss after a certain number of freeze–thaw cycles. According to the three stages divided by the stress–AE parameter curve, the linear growth stage shortens, the damage accumulation stage increases, and the failure stage appears earlier with the increase in freeze–thaw cycles. In conclusion, the application of a comprehensive understanding of freeze–thaw damage characteristics of concrete based on compressive properties and acoustic parameters would enhance the evaluation of the performance degradation and damage status for concrete structures. Full article
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27 pages, 9817 KiB  
Article
Improving the Flexural Response of Timber Beams Using Externally Bonded Carbon Fiber-Reinforced Polymer (CFRP) Sheets
by Walid Mansour, Weiwen Li, Peng Wang, Cheikh Makhfouss Fame, Lik-ho Tam, Yao Lu, Md. Habibur Rahman Sobuz and Noha Yehia Elwakkad
Materials 2024, 17(2), 321; https://0-doi-org.brum.beds.ac.uk/10.3390/ma17020321 - 08 Jan 2024
Cited by 1 | Viewed by 1036
Abstract
This paper presents a numerical investigation of the flexural behavior of timber beams externally strengthened with carbon-fiber-reinforced polymer (CFRP) sheets. At first, the accuracy of linear elastic and elastic-plastic models in predicting the behavior of bare timber beams was compared. Then, two modeling [...] Read more.
This paper presents a numerical investigation of the flexural behavior of timber beams externally strengthened with carbon-fiber-reinforced polymer (CFRP) sheets. At first, the accuracy of linear elastic and elastic-plastic models in predicting the behavior of bare timber beams was compared. Then, two modeling approaches (i.e., the perfect bond method and progressive damage technique using the cohesive zone model (CZM)) were considered to simulate the interfacial behavior between FRP and timber. The models were validated against published experimental data, and the most accurate numerical procedure was identified and subsequently used for a parametric study. The length of FRP sheets varied from 50% to 100% of the total length of the beam, while different FRP layers were considered. Moreover, the effects of two strengthening configurations (i.e., FRP attached in the tensile zone only and in both the tensile and compressive zones) on load-deflection response, flexural strength, and flexural rigidity were considered. The results showed that elastic-plastic models are more accurate than linear elastic models in predicting the flexural strength and failure patterns of bare timber beams. In addition, with increasing FRP length, the increase in flexural strength ranged from 10.3% to 52.9%, while no further increase in flexural strength could be achieved beyond an effective length of 80% of the total length of the beam. Attaching the FRP to both the tensile and compressive zone was more effective in enhancing the flexural properties of the timber beam than attaching the FRP to the tensile zone only. Full article
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