Sentence examples for models for compressive from inspiring English sources

This paper discusses the development of empirical models for compressive strength and density of foam concrete through statistically designed experiments.

Semi-empirical linear and nonlinear models for compressive strength and deformation in FRC-confined concrete are also presented.

Subsequently, simplified models for compressive strength and shrinkage of LWAC were proposed and a comparison between the experimental data and models was discussed.

Several international recommendations (AFGC-SETRA, JSCE, and KCI) from France, Japan, and South Korea (AFGC-SETRA 2002; JSCE 2004; KCI 2012) thus provide stress strain models for compressive and tensile stress blocks in the cross-section, as well as the detailed process of predicting the ultimate capacity of UHPFRC elements under flexure.

It was found that (1) the modeling module can generate rather accurate models for compressive strength and slump for concrete, (2) the optimization module can generate the lowest cost mixtures for wide range of required strength and slump and their combinations, and (3) the dependence of required strength and slump on the design parameters (component contents) meets expectations.

Bradley (1979) was the first to model for compressive wellbore failure of a deviated well for the purpose of proposing proper mud weights to preclude borehole failure.

In Fig. 7 their results are compared with the one obtained with the proposed model, for compressive concrete strength f cm equal to 30 MPa, bar diameter ∅ b  = 20 mm, and non-dimensional cover ratio (c/∅ b ) equal to 1.5.

The current work proposes a micromechanics-based model for compressive dynamic failure of brittle materials with circular pore flaws, which incorporates both the number density and the size distribution of flaws.

Based on the significance of the independent variables, it was concluded that the volume content, crushing strength and shape index of LWA showed more influence on the prediction model for compressive strength of LWAC.

In this study, an artificial neural network model for compressive strength of self-compacting concretes (SCCs) containing mineral additives and polypropylene (PP) fiber exposed to elevated temperature were devised.

Predictive models for the compressive strength and shrinkage of concrete containing PLWA were discussed and a unified model predicting the compressive strength and shrinkage of concrete containing PLWA was suggested.