Results 41 to 50 of about 3,010,294 (345)

Compressive strength of delaminated aerospace composites [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012
An efficient analytical model is described which predicts the value of compressive strain below which buckle-driven propagation of delaminations in aerospace composites will not occur. An extension of this efficient strip model which accounts for propagation transverse to the direction of applied compression is derived.
Butler, Richard   +3 more
openaire   +3 more sources

Effect of Addition of Alccofine on the Compressive Strength of Cement Mortar Cubes

open access: yes, 2021
In the modern era, many research works are going on throughout the world for finding suitable cementitious material for the replacement of cement since it causes environmental pollution.
R. Balamuralikrishnan, J. Saravanan
semanticscholar   +1 more source

Systematic multiscale models to predict the compressive strength of fly ash-based geopolymer concrete at various mixture proportions and curing regimes

open access: yesPLoS ONE, 2021
Geopolymer concrete is an inorganic concrete that uses industrial or agro by-product ashes as the main binder instead of ordinary Portland cement; this leads to the geopolymer concrete being an eco-efficient and environmentally friendly construction ...
H. Ahmed   +3 more
semanticscholar   +1 more source

The Strength of Compressed Tablets

open access: yesJournal of Pharmacy and Pharmacology, 1961
Abstract Examination of the fracture of tablets in a strength test has revealed two types of failure. Where the interparticulate bond is strong, fracture occurs across the grains and the strength of tablet is a simple function of the particle size.
D. Ganderton, E. Shotton
openaire   +2 more sources

An ANN Model for Predicting the Compressive Strength of Concrete

open access: yesApplied Sciences, 2021
An artificial neural network (ANN) model for predicting the compressive strength of concrete is established in this study. The Back Propagation (BP) network with one hidden layer is chosen as the structure of the ANN.
Chia-ju Lin, Nan-Jing Wu
semanticscholar   +1 more source

Effect of work-hardening on the relationship between compressive strength and hardness of quenched medium carbon steel

open access: yesNihon Kikai Gakkai ronbunshu
Since it is known that tensile strength and hardness are roughly proportional, a hardness test is often used as a simple and substitute test. However, it has been reported that the proportional relationship between tensile strength and hardness is broken
Yuta MIZUNO   +3 more
doaj   +1 more source

Effect of Wax Burn-Out Heating Temperature on The Compressive Strength of Casting Dental Alloy Investment [PDF]

open access: yesAl-Rafidain Dental Journal, 2008
Aims: To evaluate the effect of the burn-out heating on the compressive strength of investment materials. Materials and Methods: Three commercial investment materials were used in this study.
Lamia T Rejab
doaj   +1 more source

Assessment of Longstanding Effects of Fly Ash and Silica Fume on the Compressive Strength of Concrete Using Extreme Learning Machine and Artificial Neural Network

open access: yesJournal of Advanced Engineering and Computation, 2021
Compressive Strength (CS) is an important mechanical feature of concrete taken as an essential factor in construction. The current study has investigated the effect of fly ash and silica fume replacement content on the strength of concrete through ...
M. Shariati   +5 more
semanticscholar   +1 more source

Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

open access: yesAdvance in Civil Engineering, 2021
Improvement of compressive strength prediction accuracy for concrete is crucial and is considered a challenging task to reduce costly experiments and time.
Hai-Van Thi Mai   +3 more
semanticscholar   +1 more source

A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)

open access: yesApplied Sciences, 2020
Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength ...
Furqan Farooq   +6 more
semanticscholar   +1 more source

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