Article
Construction & Building Technology
Weiqiang Wang, M. Neaz Sheikh, Jun-Jie Zeng, Muhammad N. S. Hadi
Summary: This study investigates the compressive behavior of partially FRP confined concrete, focusing on its strain localization phenomenon. Experimental results show significant strain localization in partially confined concrete specimens with either strain-hardening or strain-softening responses. The proposed ultimate strain model outperforms other existing models and is the only one capturing the strain localization behavior.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Mechanics
Wenguang Chen, Jinjun Xu, Minhao Dong, Yong Yu, Mohamed Elchalakani, Fengliang Zhang
Summary: This study presents machine learning prediction models based on a large database and Bayesian techniques, which can accurately predict the ultimate axial strain of FRP-confined concrete cylinders. Empirical results demonstrate that the proposed models have outstanding predictive performance, which can assist various stakeholders in better utilizing FRP-confined concrete columns in construction applications.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Civil
Ibrahim A. Tijani, Abiodun I. Lawal, S. Kwon
Summary: This study utilized artificial neural network (ANN) and Gaussian process regression (GPR) to analyze 627 datasets and predict the ultimate strain of FRP-confined concrete. The results highlight the potential of AI techniques in structural engineering applications.
STRUCTURAL ENGINEERING AND MECHANICS
(2022)
Article
Polymer Science
Chubing Deng, Ruiliang Zhang, Xinhua Xue
Summary: This study collected experimental data and used the GMDH algorithm to establish a high-accuracy confinement model for fiber-reinforced polymer confined concrete. Compared to existing models, the GMDH model showed better prediction accuracy and stability, providing a convenient and efficient reference for engineering design.
Article
Engineering, Civil
Shack Yee Hiew, Keat Bin Teoh, Sudharshan N. Raman, Daniel Kong, Milad Hafezolghorani
Summary: Recognizing the need for accurate confinement models in the design of ultra-high-performance concrete (UHPC) structural members, this study proposes a data-driven artificial neural network (ANN) framework. The ANN models, based on a comprehensive database of 228 axially loaded UHPC columns, outperform existing design-oriented models in predicting ultimate stress, ultimate strain, and stress-strain behavior of confined UHPC. The proposed models provide rapid prediction tools for the on-demand design of UHPC structural components and systems.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Peng-Da Li, Tao Zhang, Jun-Jie Zeng
Summary: The use of large rupture strain (LRS) fiber-reinforced polymer (FRP) composites as confining material in structural repair or retrofitting has become increasingly prominent due to their high deformation capacity. However, predicting the ultimate strain of LRS FRP-confined concrete is more complex and inaccurate compared to strength prediction, especially for severely damaged or highly deformed structural elements. This study proposes a unified ultimate strain model for LRS FRP-confined concrete based on an energy balance method, providing a wider application and better performance than other models. Additionally, the study accurately determines the characteristic points on the entire stress-strain curve using an updated database.
JOURNAL OF COMPOSITES FOR CONSTRUCTION
(2023)
Article
Chemistry, Multidisciplinary
Ali Fallah Pour, Aliakbar Gholampour
Summary: This study uses an artificial neural network (ANN) to accurately predict key parameters, such as hoop rupture strain (epsilon(h,rup)), transition strain (epsilon(c1)), and stress (f'(c1)), on the axial stress-strain curves of FRP-confined concrete. The developed ANN models show higher accuracy compared to existing models, capturing the lateral confinement effect on ultimate and transition zones of FRP-confined concrete.
APPLIED SCIENCES-BASEL
(2023)
Article
Mechanics
Haytham F. Isleem, Feng Peng, Bassam A. Tayeh
Summary: This study investigated the stress-strain behavior of concrete confined using LRS FRP, building a confinement model directly from experimental data using artificial neural networks to predict different components of the stress-strain response. Utilizing a large testing database, the study provided predictive expressions and practical ANN models for strength, strain, and the shape of an axial stress-strain response. The results showed that the proposed methods achieved significantly better outcomes compared to existing models for LRS FRP-confined concrete.
COMPOSITE STRUCTURES
(2022)
Article
Mechanics
K. C. Liu, C. Jiang, T. Yu, J. G. Teng
Summary: This paper presents a systematic experimental study on the axial compressive behavior of elliptical FRP tube-confined concrete columns (EFCCCs). The study found that the confinement effectiveness of FRP tubes in EFCCCs decreases with the aspect ratio and concrete strength, but increases with the FRP tube thickness. The fiber orientations in the FRP tube have a significant effect on the confinement effectiveness and failure mode of EFCCCs. Based on the test results, a new stress-strain model for the concrete in EFCCCs is proposed, which includes a more rigorous treatment of the confinement stiffness and can provide more accurate predictions for the whole stress-strain curve than existing models.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Civil
Guipeng Chen, Yanlei Wang, Tao Yu, Baolin Wan, Bing Zhang, Qing Liu
Summary: Elliptical fiber-reinforced polymer (FRP)-confined concrete members have attracted attention for their aesthetics and efficiency. The study explored the behavior of 24 elliptical FRP-confined concrete stub columns under axial compression, finding that increasing FRP confinement enhanced stress and strain capacities, while higher aspect ratios and high-strength concrete had adverse effects on axial behavior. A design-oriented model with wide concrete strength range was developed for better accuracy.
ENGINEERING STRUCTURES
(2021)
Article
Construction & Building Technology
JinJing Liao, Jun-Jie Zeng, Qi-Ming Gong, Wai-Meng Quach, Wan-Yang Gao, Lihai Zhang
Summary: This study developed a new design-oriented stress-strain model to predict the stress-strain relationship of FRP-confined UHPC cylinders under axial compression. The model accurately estimated characteristic stresses and strains and showed good agreement with most of the test results, filling the research gap in this area.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Mechanics
Ali Fallah Pour, Roohollah Shirani Faradonbeh, Aliakbar Gholampour, Tuan D. Ngo
Summary: This paper presents a study on accurately predicting the key reference points on the axial stress-strain curve of FRP-confined concrete using generic programming (GP). The developed expressions were validated and compared with existing expressions to evaluate their accuracy. The proposed expressions provided more accurate predictions by considering influential input parameters and using a larger number of datasets.
COMPOSITE STRUCTURES
(2023)
Article
Polymer Science
Jacek Korentz, Witold Czarnecki
Summary: FRP bars are used as a substitute for steel bars in concrete structures due to their advantages such as high tensile strength, high strength-to-weight ratio, electromagnetic neutrality, lightweight, and corrosion resistance. However, there is a lack of standard regulations for the design of concrete columns with FRP reinforcement, like in Eurocode 2. This paper presents a procedure for predicting the bearing capacity of concrete columns with FRP reinforcement and proposes a simple method for calculating the required reinforcement.
Article
Mechanics
Yugui Cao, Longlong Li, Muyu Liu, Yufei Wu
Summary: The study found that under CFRP confinement, the compressive strength and ultimate strain of rubber concrete decrease with increasing rubber volume replacement ratio, while the stiffness of confinement also decreases with increasing rubber content.
COMPOSITE STRUCTURES
(2021)
Article
Construction & Building Technology
J. K. Zhou, Guan Lin, J. G. Teng
Summary: A novel method for recycling concrete involves crushing demolition concrete into large pieces and mixing them directly with fresh concrete to produce compound concrete. This approach avoids the complexity of recycling concrete into aggregates, but the resulting compound concrete is more heterogeneous than normal concrete. A new technique involving external fiber-reinforced polymer (FRP) confinement has been explored to improve the properties of compound concrete, with promising results from experimental tests on FRP-confined compound concrete-filled columns.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Mechanics
Rawan Aqel, Patrick Severson, Rani Elhajjar
Summary: A novel core splice joint configuration for composite sandwich structures is studied and proposed to improve the strength and toughness. Experimental and numerical efforts show that this configuration can significantly increase the ultimate strength by 13% to 51% and the toughness by 2% to 35%.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Xianheng Wang, Cong Chen, Jinsong Zhang, Xinming Qiu
Summary: In this paper, a new form-finding method based on spatial elastica model (FMSE) is proposed for elastic gridshells. The method integrates the deformations of elastic rods into the overall deformation of the gridshell, and solves a set of transcendental equations using the quasi-Newton method to ensure the deformation satisfies the given boundary conditions. The method is validated through experiments and expected to have potential applications in the investigations of elastic gridshells.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Hao Huang, Zitong Guo, Zhongde Shan, Zheng Sun, Jianhua Liu, Dong Wang, Wang Wang, Jiale Liu, Chenchen Tan
Summary: The conventional evaluation of 3D braided composites' mechanical properties through numerical and experimental methodologies hinders material application due to the expenses, time constraints, and laborious efforts involved. This study establishes a multi-scale finite element model and a surrogate model for predicting the elastic properties of 3D4D rotary braided composites with voids. By optimizing a neural network model, the results are validated and provide valuable insights into the microstructure and properties of these composites.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Xinyu Li, Hao Zhang, Haiyang Yang, Junrong Luo, Zhongmin Xiao, Hongshuai Lei
Summary: Due to their excellent mechanical properties and design flexibility, fluted-core composite sandwich structures have gained significant attention in aerospace and rail transit applications. This study investigated the free-vibration characteristics and optimized design of composite fluted-core sandwich cylinders through theoretical models and experimental tests.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Chao Li, Chunzheng Duan, Xiaodong Tian, Chao Wang
Summary: A mechanistic model considering the bottom edge cutting effect and the anisotropic characteristics of the material is proposed in this paper to accurately predict cutting forces. The model was validated through a series of milling experiments and can be used to predict the cutting force of various parts of the cutter and any feed direction.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Camila Sanches Schimidt, Leopoldo Pisanelli Rodrigues de Oliveira, Carlos De Marqui Jr
Summary: This work investigates the vibro-acoustic performance of graded piezoelectric metamaterial plates. The study shows that piezoelectric metamaterial plates with reconfigurable properties can provide enhanced vibration and sound power attenuation.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Jun Ke, Li-jie Liu, Zhen-yu Wu, Zhong-ping Le, Luo Bao, Dong-wei Luo
Summary: Compared with other green natural fibers, ramie has higher mechanical properties and lower cost. In this study, ramie and glass fiber are made into composite circular tubes. The results show that the hybrid circular tube with ramie and glass fiber has improved torsional mechanical properties and reduced weight and cost. The failure mechanisms are affected by the loading direction and the content of each fiber.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Natalia Pingaro, Gabriele Milani
Summary: This paper proposes an enhanced analytical model for predicting the behavior of FRCM samples tested under standard tensile tests. The model takes into account the interaction between fibers and matrix through the interface, and assumes different material properties at different phases. By solving a second order linear differential equation, an analytical solution can be obtained. The model is validated with experimental data and shows good predictability.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Jialiang Fan, Anastasios P. Vassilopoulos, Veronique Michaud
Summary: This article investigates the effects of voids, joint geometry, and test conditions on the fracture performance of thick adhesive Double Cantilever Beam (DCB) joints. It concludes that grooved DCB joints with low void content tested at low displacement rates showed stable crack propagation without significant crack path deviation.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Auwalu I. Mohammed, Kaarthikeyan Raghupathy, Osvaldo De Victoria Garcia Baltazar, Lawson Onokpasah, Roger Carvalho, Anders Mogensen, Farzaneh Hassani, James Njuguna
Summary: This study investigates the performance of composite pressure vessels under damaged and undamaged conditions, providing insights into their reliability and residual strength capabilities. The results demonstrate that the damage profile and its effect on compressive strength are similar between damaged and non-damaged cylinders. When subjected to quasi-static compression, the polyethylene liner absorbs enough elastic strain energy to recover without plastic deformation. Additionally, quasi-static compression has little to no influence on the axial strength of the cylinders. The damage characterization reveals fiber breakage, delamination, local buckling, and brooming failure. This study has direct implications for the safety design tolerances, manufacturing strategies, and operational failure conditions of composite overwrapped pressure vessels (COPVs).
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Muhammad Irfan Shirazi, Samir Khatir, Djilali Boutchicha, Magd Abdel Wahab
Summary: Structural health monitoring is important to ensure the safety of components and structures. This study proposes a method using finite element models and 1D-CNN network to extract and classify vibration responses for crack detection. The results show that the proposed approach is effective in real-time damage detection.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Maryam Mirsalehi, Kiarash Kianpour, Sharif Shahbeyk, Mohammad Bakhshi
Summary: This study comprehensively investigates the one-way response of 3D-woven sandwich panels (3DWSPs) and their interfering parameters, providing interpretation of elastic and failure results, failure maps, and reliable theoretical models for linear elastic response and observed failure mechanisms.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Yiming Zhao, Zhonggang Wang, Zhigang Yang, Bin Qin
Summary: The paper proposes a Ritz and statistical energy analysis (Ritz SEA) hybrid method for calculating rectangular plate acoustic vibration coupling in the mid-frequency range. This method combines the fast convergence and ability to handle arbitrary boundary conditions of the Ritz method with the power flow equation of the statistical energy analysis method. The results show that this approach effectively filters out random fluctuations in mid-frequency domains while demonstrating exceptional stability and precision.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Joao Henrique Fonseca, Woojung Jang, Dosuck Han, Naksoo Kim, Hyungyil Lee
Summary: This study addresses the enhancement of an injection-molded fiber-reinforced plastic / metal hybrid automotive structure and its plastic injection molding process through the integration of the finite element method, artificial intelligence, and evolutionary search methods. Experimental validation of finite element models, the generation of a database through orthogonal array and Latin hypercube methods, and the training of artificial neural networks are conducted. The genetic optimization algorithm is then applied to identify optimal process parameters. The results show significant reduction in product warpage and manufacturing time while maintaining structural strength, contributing to the advancement of composite automotive structures with superior quality.
COMPOSITE STRUCTURES
(2024)
Article
Mechanics
Alessandro Vescovini, Carina Xiaochen Li, Javier Paz Mendez, Bo Cheng Jin, Andrea Manes, Chiara Bisagni
Summary: This paper presents a study on six single-stringer specimens manufactured using the card-sliding technique with non-crimp fabrics and adopting a Double-Double (DD) stacking sequence. The specimens were tested under compression loading conditions to investigate post-buckling and failure in aerospace structures. Experimental results and numerical simulations were compared to analyze the behavior and failure modes of the specimens. The study found promising evidence of a viable solution to optimize aeronautical structures and enhance resistance to skin-stringer separation, particularly with the use of tapered flanges.
COMPOSITE STRUCTURES
(2024)