Results 91 to 100 of about 76,634 (311)

Creep of Concrete in Shell Structures: Nonlinear Theory. [PDF]

Materials (Basel), 2023
Mussabayev TT, Nuguzhinov ZS, Nemova D, Kayupov T, Tolkynbaev TA, Akmakanova AZ, Khafizova GS.   +6 more
europepmc   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

Permeability of Concrete with Recycled Concrete Aggregate and Pozzolanic Materials under Stress. [PDF]

, 2016
The research reported herein studied the permeability of concrete containing recycled-concrete aggregate (RA), superfine phosphorous slag (PHS), and ground granulated blast-furnace slag (GGBS) with and without stress.
MONTEIRO, Paulo J.m., Sun, Xiaoyan, Wang, Hailong, Wang, Junjie   +3 more
core   +2 more sources

Accelerated Creep of Asphalt Concrete at Medium Temperatures

Applied Sciences
In this paper, the accelerated creep under uniaxial tension of hot fine-grained dense asphalt concrete at temperatures of 22–24 °C and stresses from 0.084 MPa to 0.596 MPa is experimentally investigated.
Alibay Iskakbayev, Bagdat Teltayev, Yerbol Aitbayev, Azamat Zhaisanbayev   +3 more
doaj   +1 more source

Calculation of Short-Term Creep of Concrete Using Fractional Viscoelastic Model. [PDF]

Materials (Basel), 2023
Mei S, Li X, Wang X, Liu X.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Fire Spalling Prevention via Polypropylene Fibres: A Meso-and Macroscale Approach [PDF]

, 2016
A deep understanding of concrete at the mesoscale level is essential for a better comprehension of several concrete phenomena, such as creep, damage, and spalling.
Mazzucco, Gianluca, Xotta, Giovanna
core   +3 more sources

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

Long-term performance of timber-concrete composite flooring systems [PDF]

, 2015
University of Technology Sydney. Faculty of Engineering and Information Technology.Timber concrete composites (referred to as TCC beams here onwards) consist of a concrete slab integrally connected to the timber joist by means of a shear connector.
Hailu, MZ
core  

A laboratory study on cold-mix, cold-lay emulsion mixtures [PDF]

, 2009
This paper describes laboratory experiments and presents results for the performances of cold-mix, cold-lay emulsion mixtures. The main objective of the experiments was to evaluate and improve the properties of the cold mixtures.
Aderson A., Asphalt Institute, British Standards Institution, British Standards Institution, British Standards Institution, British Standards Institution, British Standards Institution, Cooper K. E., Energy Efficiency Office of the Department of the Environment, Highway Authorities and Utilities Committee (HAUC), I. N. A. Thanaya, J. P. Forth, Leech D., Milton L. J., Ministry of Public Works Republic of Indonesia (MPW-RI), Nichols J. C., Nikolaides A. F., Nikolaides A. F., Pascoe R. D., S. E. Zoorob, Suparma L. B., Thanaya I. N. A., Whitoeak D., Zoorob S. E.   +23 more
core   +1 more source