Results 311 to 320 of about 3,010,294 (345)

Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete

Neural computing & applications (Print), 2022
H. Ahmed, Reham R. Mostafa, A. Mohammed, Parveen Sihag, Azad M Qadir   +4 more
semanticscholar   +1 more source

The Compressive Strength of Ceramics

1971
The literature on compressive strengths of crystalline ceramics, especially at room temperature, suggests that microplasticity may be the mechanism of much compressive failure since (2) the yield stress (microhardness/3) is the upper limit of both ambient and elevated temperature compressive strengths and (2) data on grain size dependence are ...
openaire   +2 more sources

Strengths of Glass Spheres in Compression

Journal of the American Ceramic Society, 1986
The strengths of individual glass spheres of a commercial soda‐lime‐silica composition were measured in diametral compression for an extensive range of sizes. Standard plots for a two‐parameter Weibull distribution yielded m values of ∼5 over a 400‐fold range of volumes corresponding to a 50‐fold range of surface areas.
S. Perrella, Richard C. Bradt, H. Nguyen, B.A. Kschinka   +3 more
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Prediction of concrete materials compressive strength using surrogate models

Structures, 2022
Wael Emad, Ahmed Salih Mohammed, Rawaz Kurda, Kawan Ghafor, L. Cavaleri, Shaker M.A.Qaidi, A. Hassan, P. G. Asteris   +7 more
semanticscholar   +1 more source

Compressive Strength of Unidirectional Composites

Journal of Reinforced Plastics and Composites, 1992
A simple equation which can describe the compressive behavior of uni directional composites has been derived. With this equation, the effects of resin stiffness, fiber anisotropy, fiber misalignment and waviness, fiber/matrix interface, and void content on composite compressive strength can be assessed quantitatively and qualitatively.
K.H. Lo, E.S.-M. Chim
openaire   +2 more sources

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

Cement and Concrete Research, 2021
P. G. Asteris, A. Skentou, A. Bardhan, P. Samui, K. Pilakoutas   +4 more
semanticscholar   +1 more source

Vickers hardness and compressive strength

Journal of the Mechanics and Physics of Solids, 1958
Abstract Hardness and compression tests are reported for a wide variety of materials. A simple empirical method for relating hardness number to the stress-strain curve is suggested. The correlation obtained leads to the conclusion that the Vickers test is not at all sensitive to yield stresses corresponding to compressive strains greater than 0.15.
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Prediction of cement-based mortars compressive strength using machine learning techniques

Neural computing & applications (Print), 2021
P. G. Asteris, Mohammadreza Koopialipoor, D. J. Armaghani, Evgenios A. Kotsonis, P. Lourenço   +4 more
semanticscholar   +1 more source

Compressive Strength of Compacted Snow [PDF]

Journal of the Air Transport Division, 1959
Study of mechanical strength of compacted snow to find methods of increasing load bearing capacity for airports and roads; tests indicate increase in strength with increasing density; snow compacted to density of about 0.60 kg/dm\U3\N may obtain average compressive strength of 10 kg/cm\U2\N at -- 15 C when loaded at rate of 3 mm/sec.
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On compressive strength variation in concrete

Matériaux et Constructions, 1971
The interrelationship of the standard deviation, the coefficient of variation, and the compressive strength of concrete was studied on 32 building sites and 14 ready-mix plants, with more than 30,000 observations analysed. While the standard deviation was found to be practically strength-independent when overall values were considered, the coefficient ...
openaire   +2 more sources