Curing simulation and data-driven curing curve prediction of thermoset composites by Chenchen Wu, Ruming Zhang, Pengyuan Zhao, Liang Li, Dingguo Zhang

“…Then, the temperature–time and the resulting degree-of-cure-time curves obtained from finite element simulations were created for training the prediction models using machine learning approaches of support vector regression (SVR), back propagation (BP) neural network and BP neural network optimized by genetic algorithm (GA-BP). …”
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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

“…Abstract A novel type of concrete-encased steel (CES) composite column implementing Engineered Cementitious Composites (ECC) confinement (ECC-CES) has recently been introduced, offering significantly enhanced failure behavior, ductility, and toughness when compared to conventional CES columns. …”
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Deep learning-based GNSS composite jamming detection and recognition technology by Chenxuan Liu, Chenxuan Liu, Binbin Ren, Binbin Ren, Yuchen Xie, Yuchen Xie, Feiqiang Chen, Feiqiang Chen

“…This paper first constructs single interference model and composite interference model, proposes three signal preprocessing methods, and generates corresponding image datasets. …”
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Overheating Defect Detection of Composite Insulator Based on Mask R-CNN by Yi GAO, Lianfang TIAN, Qiliang DU

“…Secondly, the result obtained by deep segmentation network is further optimized by using traditional image processing methods such as skeletonization, so that the final segmentation result only covers the core rod of the composite insulators. …”
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Experimental Investigation of Sorghum Stalk and Sugarcane Bagasse Hybrid Composite for Particleboard by Addisalem Adefris Legesse, Dawit Desalegn, Senthil Kumaran Selvaraj, Velmurugan Paramasivam, Utkarsh Chadha

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Design of multi-bandgap metamaterial plate based on composite cylindrical resonators by Zhi Miao, Jianfei Yin, Yu Yang, Yibo Ke, Zhoufu Zheng, Xiaoming Geng, Qian Wang

“…Building on the initial composite model, two methods are employed to further broaden the bandgaps. …”
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Innovative biopolymers composite based thin film for wound healing applications by Majid Ali, Shakir Ullah, Shaker Ullah, Muhammad Shakeel, Tayyaba Afsar, Fohad Mabood Husain, Houda Amor, Suhail Razak

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Experimental substantiation of the composition of gelatin mass for obtaining capsules with essential oils by E. I. Molokhova, E. I. Ponomareva, Yu. V. Sorokina, I. V. Alekseeva, T. E. Ryumina, V. V. Novikova, A. L. Golovanenko, E. S. Berezina, Yu. M. Ladutko

“…When studying the rheological properties of model compositions, it was found that for all samples of gelatin masses there is a decrease in values of effective viscosity when the shear rate increases, which characterizes the tested samples as a structured dispersion system. …”
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An Improved Multi-Objective Adaptive Human Learning Optimization Algorithm and Its Application in Optimizing Formulation Schemes for Rotary Hearth Furnaces by Jun Yao, Songcheng Zhou, Ling Wang, Xianxia Zhang

“…This study develops a complex, multivariable optimization framework for raw material formulation in rotary hearth furnaces (RHF), addressing the inherent coupling effects among compositional control, operational stability, and resource efficiency. …”
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Using the Finite Element Method to Simulate a Carbon Fiber Reinforced Polymer Pressure Vessel by I. R. Antipas, A. G. Dyachenko

“…In these studies, SHELL 99 was used to model the layered composite material. The Tsai-Wu theory was used to determine the pressure tank failure criterion.Results. …”
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Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition by Linlin Fu, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…The model hyperparameters are further optimized through the particle swarm optimization (PSO) algorithm to improve the adaptability and generalization capability of the predictive models. …”
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A psychoacoustic assessment for enhancing the sound quality of vibrating composite panels by AllahTavakoli Yahya, Marquis-Favre Catherine, Ichchou Mohamed N., Hamzaoui Nacer

“…A psychoacoustic paired-comparison test between recorded and synthesized sounds was conducted to perceptually assess the modeling. Next, the sound quality of composite panel designs was investigated. …”
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Research Progress of Carbon Fiber Composite Materials in Automobile Body Lightweight by Tang Haifeng

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Radiative Heat Transfer Properties of Fiber–Aerogel Composites for Thermal Insulation by Mohanapriya Venkataraman, Sebnem Sözcü, Jiří Militký

“…We discuss recent advancements in fiber-reinforced aerogels, focusing on material selection, structural modifications, and predictive heat transfer models. Recent studies indicate that incorporating fiber volume fractions as low as 10% can reduce the thermal conductivity of composites by up to 30%, without compromising their mechanical integrity. …”
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Exploring Fracture Energy in Engineered Cementitious Composites: A Comprehensive Review by Muhammad Alamgeer Shams, Naraindas Bheel, Malik Muneeb Abid, Ahmed Saleh Alraeeini, Abdulrazak H. Almaliki, Yakubu Aminu Dodo, Omrane Benjeddou

“…Abstract Engineered cementitious composites (ECC) boast superior tensile strain capacity and crack resistance compared to traditional concrete. …”
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Engineering-Driven Approach for the Structural Design of Geometrically Complex Modular Artificial Reefs by Fábio Cruz, Isabel B. Valente, Dmytro Maslov, Tiago Miranda, Eduardo B. Pereira

“…Hydrodynamic and numerical models were utilized to assess the effects of these actions on the structure. …”
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Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment by Jianhao Gao

“…The simulation results reveal that MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT.…”
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Macro-microscopic study on the damage threshold strain of particle-filled polymer composites by Wang Jiaxiang, Qiang Hongfu, Wang Xueren, Wang Zhejun, Li Shiqi

“…This study proposes a damage threshold strain prediction model for typical particle filled polymer composites (composite solid propellants) based on the theory of particle inclusion micromechanics. …”
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TECHNOLOGICAL PROCESS OF OBTAING СOLD HARDENING MIXTURES (CHM) ON THE BASIS OF OLIGOFURFURILOKSISILAKSANOV BINDINGS by O. I. Ponomarenko, N. S. Evtushenko

“…Research was conducted by standard techniques on durability, survivability, permeability to gases, friability, adherence, peeling and metal penetration. Mathematical models of properties of mixture are developed and optimization of composition of mixture is made. …”
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On the Effect of Unit-Cell Parameters in Predicting the Elastic Response of Wood-Plastic Composites by Fatemeh Alavi, Amir Hossein Behravesh, Abbas S. Milani, Davoud Karimi

“…The model was finally employed in an optimization analysis to arrive at an optimal set of RVE parameters that minimizes the difference between the predicted and experimental moduli of elasticity.…”
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