Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.2
3.4
Journals
Materials
Special Issues
Advances in Computational Modeling of Damage and Failure of Composite...
materials-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Materials Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advances in Computational Modeling of Damage and Failure of Composite Materials

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

Deadline for manuscript submissions: 20 June 2024 | Viewed by 663

Special Issue Editors

Dr. Boyang Chen

E-Mail Website
Guest Editor
Faculteit Luchtvaart- en Ruimtevaarttechniek, TU Delft, Delft, The Netherlands
Interests: delamination; composite materials; cracks; delamination; laminated composites; cohesive zone; crack propagation; modeling; composite structures
Dr. Zhoucheng Su

E-Mail Website
Guest Editor
A-Star, Institute of High Performance Computing, Singapore
Interests: computational mechanics; composite materials; structural design; vehicle stability control

Special Issue Information

Dear Colleagues,

Composite materials are increasingly finding applications in various industries thanks to their potential in weight reduction, damage tolerance, multi-functionalities, etc. However, their damage and failure remain challenging to predict. This Special Issue aims to collect the recent advances in computational models of the damage and failure of composite materials. This includes both traditional mechanically loaded composites and novel multi-functional composites. The scope of the models includes, but is not limited to, enriched finite element technologies, meshless/particle-based methods, multi-scale/global–local methods, and data-driven or machine-learning-based surrogate methods. Contributors are invited to present your recent novel work on some of the above-mentioned topics. Thank you and we look forward to receiving your recent work in our Special Issue!

Yours sincerely,

Dr. Boyang Chen
Dr. Zhoucheng Su
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
  • finite element analysis
  • enriched element
  • meshless methods
  • damage progression
  • discrete cracking
  • multiscale modelling
  • data-driven methods

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

20 pages, 7519 KiB  
Article
Research on Deformation Prediction of VMD-GRU Deep Foundation Pit Based on PSO Optimization Parameters
by Ronggui Liu, Qing Zhang, Feifei Jiang, Juan Zhou, Jianxia He and Zhongyang Mao
Materials 2024, 17(10), 2198; https://doi.org/10.3390/ma17102198 - 8 May 2024
Viewed by 196
Abstract
As a key guarantee and cornerstone of building quality, the importance of deformation prediction for deep foundation pits cannot be ignored. However, the deformation data of deep foundation pits have the characteristics of nonlinearity and instability, which will increase the difficulty of deformation [...] Read more.
As a key guarantee and cornerstone of building quality, the importance of deformation prediction for deep foundation pits cannot be ignored. However, the deformation data of deep foundation pits have the characteristics of nonlinearity and instability, which will increase the difficulty of deformation prediction. In response to this characteristic and the difficulty of traditional deformation prediction methods to excavate the correlation between data of different time spans, the advantages of variational mode decomposition (VMD) in processing non-stationary series and a gated cycle unit (GRU) in processing complex time series data are considered. A predictive model combining particle swarm optimization (PSO), variational mode decomposition, and a gated cyclic unit is proposed. Firstly, the VMD optimized by the PSO algorithm was used to decompose the original data and obtain the Internet Message Format (IMF). Secondly, the GRU model optimized by PSO was used to predict each IMF. Finally, the predicted value of each component was summed with equal weight to obtain the final predicted value. The case study results show that the average absolute errors of the PSO-GRU prediction model on the original sequence, EMD decomposition, and VMD decomposition data are 0.502 mm, 0.462 mm, and 0.127 mm, respectively. Compared with the prediction mean square errors of the LSTM, GRU, and PSO-LSTM prediction models, the PSO-GRU on the PTB0 data of VMD decomposition decreased by 62.76%, 75.99%, and 53.14%, respectively. The PTB04 data decreased by 70%, 85.17%, and 69.36%, respectively. In addition, compared to the PSO-LSTM model, it decreased by 8.57% in terms of the model time. When the prediction step size increased from three stages to five stages, the mean errors of the four prediction models on the original data, EMD decomposed data, and VMD decomposed data increased by 28.17%, 3.44%, and 14.24%, respectively. The data decomposed by VMD are more conducive to model prediction and can effectively improve the accuracy of model prediction. An increase in the prediction step size will reduce the accuracy of the deformation prediction. The PSO-VMD-GRU model constructed has the advantages of reliable accuracy and a wide application range, and can effectively guide the construction of foundation pit engineering. Full article
(This article belongs to the Special Issue Advances in Computational Modeling of Damage and Failure of Composite Materials)
►▼ Show Figures

Figure 1

26 pages, 15481 KiB  
Article
Research on Crack Propagation of Nitrate Ester Plasticized Polyether Propellant: Experiments and Simulation
by Hanwen Liu, Jiangning Wang and Xiaolong Fu
Materials 2024, 17(10), 2180; https://doi.org/10.3390/ma17102180 - 7 May 2024
Viewed by 220
Abstract
To understand the fracture properties of the nitrate ester plasticized polyether (NEPE) propellant, single-edge notched tension (SENT) tests were carried out at room temperature (20 °C) under different tensile rates (10–500 mm/min). The mechanical response, crack morphology, evolution path, and crack propagation velocity [...] Read more.
To understand the fracture properties of the nitrate ester plasticized polyether (NEPE) propellant, single-edge notched tension (SENT) tests were carried out at room temperature (20 °C) under different tensile rates (10–500 mm/min). The mechanical response, crack morphology, evolution path, and crack propagation velocity during the fracture process were studied using a combination of a drawing machine and a high-speed camera. The mode I critical stress intensity factor KIc was calculated to analyze the tensile fracture toughness of the NEPE propellant, and a criterion related to KIc was proposed as a means of determining whether the solid rocket motors can normally work. The experimental results demonstrated that the NEPE propellant exhibited blunting fracture phenomena during crack propagation, resulting in fluctuating crack propagation velocity. The fracture toughness of the NEPE propellant exhibited clear rate dependence. When the tensile rate increased from 10 mm/min to 500 mm/min, the magnitude of the critical stress intensity factor increased by 62.3%. Moreover, numerical studies based on bond-based peridynamic (BBPD) were performed by modeling the fracture process of the NEPE propellant, including the crack propagation speed and the load–displacement curve of the NEPE propellant. The simulation results were then compared with the experiments. Full article
(This article belongs to the Special Issue Advances in Computational Modeling of Damage and Failure of Composite Materials)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Research on crack propagation of nitrate ester plasticized polyether propellant: Experiments and simulation
Authors: Hanwen Liu; Xiaoying Zhuang; Timon Rabczuk; Jiangning Wang; Xiaolong Fu
Affiliation: Xi’an Modern Chemistry Research Institute, Xi’an 710065, China
Abstract: To understand the fracture properties of nitrate ester plasticized polyether(NEPE) propellant, single-edge notched tension(SENT) tests were carried out at room temperature(20 ℃) under different tensile rates(10-500 mm/min). The mechanical response, crack morphology, evolution path and crack propagation velocity during the fracture process are studied by using a combination of drawing machine and high speed camera. Due to the viscoelastic properties of NEPE propellant, the J-integral and energy release rate at different stretching rates are estimated. Experiment research indicates there is blunting fracture at the crack tip of NEPE propellant during the fracture process and the fracture properties are rate-dependent. Moreover, numerical studies based on bond-based peridynamic(BBPD) were done modeling the fracture process of NEPE propellant including the crack propagation speed and load-displacement curve of NEPE propellant.

Back to TopTop