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    Artificial Neural Network (ANN) Approach to Predict Tensile Properties of Longitudinally Placed Fiber Reinforced Polymeric Composites including Interphase by Sagar Chokshi, Piyush Gohil, Vijay Parmar, Vijaykumar Chaudhary

    Published 2025-08-01
    “…For this, tensile properties data of Longitudinally Placed Bamboo Fiber Reinforced Polyester Composite (LUDBPC), Longitudinally Placed Flax Fiber Reinforced Polyester Composite (LUDFPC) and Longitudinally Placed Jute Fiber Reinforced Polyester Composite (LUDJPC) has been procured to generate ANN models. …”
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  5. 1145

    Self-Shrinkage Behaviors of Waste Paper Fiber Reinforced Cement Paste considering Its Self-Curing Effect at Early-Ages by Zhengwu Jiang, Xiuyan Guo, Wenting Li, Qing Chen

    Published 2016-01-01
    “…The aim of this paper was to study how the early-age self-shrinkage behavior of cement paste is affected by the addition of the waste paper fibers under sealed conditions. Although the primary focus was to determine whether the waste paper fibers are suitable to mitigate self-shrinkage as an internal curing agent under different adding ways, evaluating their strength, pore structure, and hydration properties provided further insight into the self-cured behavior of cement paste. …”
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  6. 1146

    Diagnostic Capability of Pattern Electroretinogram and Three Circumpapillary Retinal Nerve Fiber Layer Thickness Circle Diameter Scans in Glaucoma Suspects by Tirsi A, Tsai J, Abizadeh A, Kacaj D, Procyk O, Gliagias V, Leung N, Yang H, Park SC, Tello C

    Published 2025-01-01
    “…Circumpapillary retinal nerve fiber layer thickness (RNFLT) was measured using spectral domain OCT in 49 eyes from 26 patients (36 normal, 13 GS) in three circle diameters (3.5, 4.1, and 4.7 mm). …”
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  7. 1147

    Divisive Refinement of Metal Fiber at the PM0.1 Classification Stage for PM0.5–0.1 Sampling with Nanosampler by Yuta Kurotsuchi, Kazuhiko Sekiguchi, Yohei Hayakawa

    Published 2023-03-01
    “…Abstract Multi-component analysis of PM0.5–0.1 collected by Nanosampler II metal (Steel Use Stainless: SUS) wool fiber at the PM0.1 classification stage is challenging owing to difficulties in SUS wool fiber separation after collection. …”
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    Multiobjective Optimization of Mechanical Properties on Sisal-Glass Fiber-Reinforced Hybrid Composites Using Response Surface Methodology and LINGO Analysis by S. Ragunath, A. N. Shankar, K. Meena, B. Guruprasad, S. Madhu, N. Rakesh, M. Hariprabhu, S. Balamuralitharan, Nahom Daniel

    Published 2021-01-01
    “…The aim of this research work was to develop the optimal mechanical properties, namely, tensile strength, flexural strength, and impact strength of sisal and glass fiber-reinforced polymer hybrid composites. The sisal, in the form of short fiber, is randomly used as reinforcements for composite materials, which is rich in cellulose, economical, and easily available as well as glass fibers have low cost and have good mechanical properties. …”
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    Crack Identification Method of Steel Fiber Reinforced Concrete Based on Deep Learning: A Comparative Study and Shared Crack Database by Yang Ding, Shuang-Xi Zhou, Hai-Qiang Yuan, Yuan Pan, Jing-Liang Dong, Zhong-Ping Wang, Tong-Lin Yang, An-Ming She

    Published 2021-01-01
    “…In order to detect the cracks of concrete structure in time, the bending test of steel fiber reinforced concrete is carried out, and the pictures of concrete cracks are obtained. …”
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  13. 1153
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    Numerical Study on Seismic Behavior of Underwater Bridge Columns Strengthened with Prestressed Precast Concrete Panels and Fiber-Reinforced Polymer Reinforcements by Yu Tang, Gang Wu, Zeyang Sun

    Published 2018-01-01
    “…This paper presented a modeling method, as well as a comprehensive parametric study, on seismic performance of bridge columns strengthened by a newly developed strengthening method with prestressed precast concrete panels and fiber-reinforced polymer reinforcements (PPCP-FRP). …”
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  15. 1155

    Enhancing the mechanical properties’ performances coconut fiber and CDW composite in paver block: multiple AI techniques with a Performance analysis by G. Uday Kiran, G. Nakkeeran, Dipankar Roy, Sumant Nivarutti Shinde, George Uwadiegwu Alaneme

    Published 2024-12-01
    “…In this study, Response Surface Methodology (RSM), Support Vector Machine (SVM), Gradient Boosting (GB), Artificial Neural Networks (ANN), and Random Forest (RF) machine learning method for optimization and predicting the mechanical properties of natural fiber addition incorporated with construction and demolition waste (CDW) as replacement of Fine Aggregate in Paver blocks. …”
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    Influence of Er,Cr:YSGG Laser Irradiation on the Push-Out Bond Strength of Zirconia and Glass Fiber Posts with Radicular Dentin by Raneem S. Alofi, Ibraheem F. Alshiddi, Yasser F. AlFawaz, Abdulaziz Alsahhaf, Khulud Abdulrahman Al-Aali, Tariq Abduljabbar, Fahim Vohra

    Published 2019-01-01
    “…The highest push-out bond strength was achieved with the axial fiber tip (7.63 ± 1.22 MPa), and the lowest was achieved with a radial fiber tip of the glass fiber group (6.98 ± 0.96 MPa). …”
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  18. 1158

    Dynamic Effects of Embedded Macro-Fiber Composite Actuators on Ultra-Light Flexible Structures of Repeated Pattern- a Homogenization Approach by A. Salehian, T.M. Seigler

    Published 2012-01-01
    “…The resulting model is used to analyze changes in the structural natural frequencies introduced by the local effects of the added macro-fiber composite actuators for several configurations. …”
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    Analysis of Ballistic Capability in Making Bulletproof Multilayers Using Woven Ramie Fiber, Hardfacing Metal with Epoxy Matrix for Bulletproof Vests by Rizal Wahyu Permana, Syamsul Hadi, Bima Cahya Maula Dana

    Published 2024-07-01
    “…It was necessary to add reinforcing material so that the adhesion force between the metal, ramie fiber, and adhesive increases; the materials must also have very light density to prevent the effectiveness reduction of the multilayer.…”
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