Articles with "strength prediction" as a keyword



Rock tensile strength prediction using empirical and soft computing approaches

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Published in 2018 at "Bulletin of Engineering Geology and the Environment"

DOI: 10.1007/s10064-018-1405-4

Abstract: The tensile strength of rocks plays an important role in site investigation during the initial phase of many construction projects. However, laboratory tests as direct methods for tensile strength prediction are not considered efficient in… read more here.

Keywords: tensile strength; strength; pso ann; strength prediction ... See more keywords

Probing the Mechanism of Friction Stir Welding with ALE Based Finite Element Simulations and Its Application to Strength Prediction of Welded Aluminum

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Published in 2020 at "Metals and Materials International"

DOI: 10.1007/s12540-020-00901-8

Abstract: In this study, a simulation-based examination on the deformation mechanism in the friction stir welding (FSW) process is conducted, which may not be efficiently feasible by experiment due to severe deformation and rotation of material… read more here.

Keywords: finite element; strength; friction stir; ale ... See more keywords
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Quantitative strength prediction of advanced ceramics with regular/irregular flaws in I-mode failure condition

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Published in 2021 at "Ceramics International"

DOI: 10.1016/j.ceramint.2021.08.031

Abstract: Abstract Flaws in ceramics have significant impacts on strength. Understanding of ceramic strength from qualitative statistical description to quantitative prediction is essential for the fields of fracture mechanics, materials science and engineering applications. In this… read more here.

Keywords: ceramics regular; mode failure; strength prediction; strength ... See more keywords

Failure of cross-ply NCF composites under off-axis compressive loads - An experimental study and a new strength prediction model including fibre bundle waviness

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Published in 2018 at "Composites Part B: Engineering"

DOI: 10.1016/j.compositesb.2018.06.022

Abstract: Abstract The design of reliable and efficient mechanical joints with non-crimp fabric (NCF) composites depends on several factors but knowledge on actual loading direction and an accurate compressive strength prediction is essential. Motivated by this,… read more here.

Keywords: strength; ply ncf; ncf composites; cross ply ... See more keywords

Stress analysis and strength prediction of composite laminates with two interacting holes

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Published in 2019 at "Composite Structures"

DOI: 10.1016/j.compstruct.2019.04.041

Abstract: Abstract In this study, stress analysis and strength prediction were performed for carbon/epoxy laminates with holes in specific orientations using experimental and numerical techniques. The interaction between the holes was studied with reference to their… read more here.

Keywords: analysis strength; hole orientations; stress analysis; strength prediction ... See more keywords

Cohesive shear stress and strength prediction of composite patch bonded to metal reinforcement

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Published in 2019 at "International Journal of Adhesion and Adhesives"

DOI: 10.1016/j.ijadhadh.2019.02.008

Abstract: Abstract External bonding of fiber reinforced polymer (FRP) composites has become a popular technique for strengthening metal structures. A new concept of edge-elastic region was proposed to deal with the bonded reinforcement at present work.… read more here.

Keywords: strength prediction; reinforcement; stress strength; stress ... See more keywords
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Tensile strength prediction of crumb rubber concrete based on mesoscale modelling

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Published in 2024 at "Australian Journal of Structural Engineering"

DOI: 10.1080/13287982.2024.2359727

Abstract: ABSTRACT This study presents an experimental study and a mesoscale model for evaluating the tensile performance of crumb rubber concrete (CRC). In the experimental study, indirect tensile strengths of CRC with 6%, 12% 18% rubber… read more here.

Keywords: rubber; rubber concrete; strength prediction; tensile strength ... See more keywords

ADH-Enhancer: an attention-based deep hybrid framework for enhancer identification and strength prediction

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Published in 2024 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbae030

Abstract: Abstract Enhancers play an important role in the process of gene expression regulation. In DNA sequence abundance or absence of enhancers and irregularities in the strength of enhancers affects gene expression process that leads to… read more here.

Keywords: framework; enhancer; strength prediction; language ... See more keywords

Study on Strength Prediction and Material Scheme Optimization for Modified Red Mud Based on Artificial Neural Networks

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Published in 2024 at "Buildings"

DOI: 10.3390/buildings14113544

Abstract: Focusing on the complex nonlinear problems of strength prediction and the material scheme design of modified red mud for use as a road material in engineering applications, a strength prediction neural network is established and… read more here.

Keywords: material scheme; material; strength prediction; red mud ... See more keywords

Fracture Characteristics and Tensile Strength Prediction of Rock–Concrete Composite Discs Under Radial Compression

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Published in 2024 at "Mathematics"

DOI: 10.3390/math12223510

Abstract: To investigate the fracture mechanism of rock–concrete (R–C) systems with an interface crack, Brazilian splitting tests were conducted, with a focus on understanding the influence of the interface crack angle on failure patterns, energy evolution,… read more here.

Keywords: rock concrete; strength prediction; crack; interface crack ... See more keywords

Optimizing Strength Prediction for Cemented Paste Backfills with Various Fly Ash Substitution: Computational Approach with Machine Learning Algorithms

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Published in 2025 at "Minerals"

DOI: 10.3390/min15030234

Abstract: In cemented paste backfill (CPB), fly ash (FA) can reduce cement costs. However, the chemical compositions of FA and tailings used in the CPB can vary significantly, affecting the strength values of CPBs, which can… read more here.

Keywords: cemented paste; strength prediction; machine learning; fly ash ... See more keywords