Results 41 to 50 of about 92,538 (99)

Adapting Artificial Intelligence to Improve In Situ Concrete Compressive Strength Estimations in Rebound Hammer Tests

Frontiers in Materials, 2020
Compressive strength is probably one the most crucial properties of concrete material. For existing structures, core samples are drilled and tested to obtain the concrete compressive strength.
Yu Ren Wang, Yen Ling Lu, Dai Lun Chiang
doaj   +1 more source

Modified Glass Ionomer Cement with “Remove on Demand” Properties: An In Vitro Study

Dentistry Journal, 2017
Objectives: To investigate the influence of different temperatures on the compressive strength of glass ionomer cement (GIC) modified by the addition of silica-coated wax capsules; Material and Methods: Commercially-available GIC was modified by adding ...
Shaza Bishti, Taskin Tuna, Garima Agrawal, Andrij Pich, Stefan Wolfart   +4 more
doaj   +1 more source

Identification of Multiple Mechanical Properties of Laminates from a Single Compressive Test. [PDF]

Materials (Basel), 2022
Gao B, Yan H, Wang B, Yang Q, Meng S, Huo Y.   +5 more
europepmc   +1 more source

Evaluation of Job-Mix Formula Tolerances as Related to Asphalt Mixtures Properties

Journal of Engineering, 2018
The current Iraqi standard specifications for roads and bridges allowed the prepared Job-Mix Formula for asphalt mixtures to witness some tolerances with regard to the following: coarse aggregate gradation by ± 6.0 %, fine aggregate gradation by ± 4.0 %,
Mohammed Qadir Ismael, Reem Fouad Ahmed Al-Harjan   +1 more
doaj   +1 more source

Stacking sequence effects on compressive failure using pin-ended buckling test

Composites Part C: Open Access
A pin-ended buckling test, inspired by the work of Wisnom (M. Wisnom, 1992), was developed to assess the influence of strain gradients on the compressive failure strain of composite laminates.
Tobias Bianchi, Patricia Sucarrat-Riberaygua, Joël Serra, Christophe Bouvet, Léon Ratsifandrihana   +4 more
doaj   +1 more source

PERBEDAAN KEKUATAN TEKAN BAHAN FISSURE SEALANT BERBASIS RESIN FILLER dan UNFILLER

ODONTO: Dental Journal, 2016
Background: Caries is one of the most common occur dental diseases with symptoms characterized by email and dentin demineralization caused by the activity of microorganisms in a carbohydrate that can be fermented.
Kiki Andika Maulana, Sandy Christiono, Aning Susilowati   +2 more
doaj   +1 more source

Johnson-Cook (JC) constitutive equation for ZGMn18 high manganese steel

Metalurgija
In the Finite element simulation, the constitutive equation of the material has an important influence on the simulation results. In order to obtain the constitutive model of ZGMn18 high manganese steel, the constitutive model of ZGMn18 high manganese ...
H. Y. Dong, X. W. Cheng, J. Wang, L. C. Xiao, M. P. Liu   +4 more
doaj  

Investigating the Effects of Straw & Rice Husk on the Compressive Strength & Tensile Strength of Adobe Brick

Journal of Sustainable Construction Materials and Technologies
This study conducted to­­­ compare the effects of commonly used stabilizers, which are straw and rice husk on the compressive strength and tensile strength of adobe.
Sasui Sasui, Watcharin Jinwuth, Sirimas Hengrasmee   +2 more
doaj   +1 more source

A New Methodology to Estimate the Early-Age Compressive Strength of Concrete before Demolding

Buildings
Non-destructive testing has many advantages, such as the ability to obtain a large number of data without destroying existing structures. However, the reliability of the estimation accuracy and the limited range of applicable targets remain an issue ...
Bayarjavkhlan Narantogtokh, Tomoya Nishiwaki, Fumiya Takasugi, Ken Koyama, Timo Lehmann, Anna Jagiello, Félix Droin, Yao Ding   +7 more
doaj   +1 more source

Prediction improvement of compressive strength and strain of directionally solidified TiAl alloy based on training data size adjustment

Journal of Materials Research and Technology
Compressive strength and compressive strain, which are important mechanical properties of directionally solidified TiAl alloy, were predicted using machine learning algorithms, specifically Multiple Linear Regression (MLR), and Random Forest Regression ...
Seungmi Kwak, Jaehwang Kim, Hongsheng Ding, He Liang, Ruirun Chen, Jingjie Guo, Hengzhi Fu   +6 more
doaj   +1 more source