Results 51 to 60 of about 1,962,573 (283)

Shear capacity of reinforced concrete beams using neural network [PDF]

, 2007
NoOptimum multi-layered feed-forward neural network (NN) models using a resilient back-propagation algorithm and early stopping technique are built to predict the shear capacity of reinforced concrete deep and slender beams.
Song, J-K., Yang, Keun-Hyeok, Ashour, Ashraf   +2 more
core   +4 more sources

GFRP reinforced concrete : environmental and movement characteristics [PDF]

, 2004
For the last few decades, research has been conducted in order to come over the problem of corrosion in steel reinforced concrete. Consequently, methods such as cathodic protection, epoxy coatings, concrete additives, etc., have been tried ...
Al-Salem, Sultan
core   +5 more sources

Test and Analysis of Concrete Beams Reinforced by Polyurethane Concrete–Prestressed Steel Wires (PUC–PSWs)

Buildings
In order to solve the problems of low tensile strength of composite mortar prone to cracking when reinforced concrete beams are strengthened by traditional methods, this paper proposes a new polyurethane concrete–prestressing wire (PUC–PSW) reinforcement
Wei Li, Jiaqi Qiu, Yi Wang, Xilong Zheng, Kexin Zhang   +4 more
doaj   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

FINITE ELEMENT ANALYSIS OF DEEP BEAM UNDER DIRECT AND INDIRECT LOAD

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ, 2018
This research study the effect of exist of opening in web of deep beam loaded directly and indirectly and the behavior of reinforced concrete deep beams without with and without web reinforcement, the opening size and shear span ratio (a/d) was constant.
Haleem K. Hussain
doaj   +1 more source

Reducing the shear reinforcement in reinforced concrete beams and slabs

Magazine of Concrete Research, 1965
Summary The shear tests reported in the present paper were carried out in Stuttgart from 1961 to 1963. The mechanism of failure at ultimate shear load is explained in terms of the truss analogy, and the ratio between the width of the compression flange and the thickness of the web is shown to have a considerable influence on the inclination of the ...
openaire   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

THE SHEAR BEHAVIOUR OF THE REINFORCED CONCRETE FOUR-PILE CAPS

, 2009
There has been a consistent discrepancy between UK design standards BS5400 and BS8110 in the prediction of the shear capacity of 2-way spanning reinforced concrete pile caps from bending theory-based empirical design formulae.
Cao, Jing
core   +1 more source

Application of nanofiber composites in improving shear resistance and durability of buildings

Measurement: Sensors
In order to improve the shear performance of reinforced concrete beams and improve the shear bearing capacity of concrete beams, the author proposes a scheme based on flax fiber cloth to strengthen the shear performance of reinforced concrete beams, by ...
Yingqun Zhang, Yugang Dong, Lange Zhang
doaj   +1 more source