Modeling the transportation assesment with MS excel solver

Kuneva, V.; Milev, Mariyan; Gocheva, Margarita

doi:10.1063/5.0042520

Cited by 1 publication

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“…1. According to experimental statistical models of f cm1 , f cm28 , E pr1 (see Table 4) using the methods of mathematical optimization [25], find the values of factors (consumptions of cement and slag, and superplasticizer content) that provide required indicators and satisfying the condition that the total cost of these components is minimal (Table 6). For calculations purposes, the following cost of components was assumed: cement-88 EUR/t, ground blast-furnace slag-27 EUR/t, superplasticizer-2.85 EUR/t.…”

Section: Solutionmentioning

confidence: 99%

Using Experimental Statistical Models for Predicting Strength and Deformability of Self-Compacting Concrete with Ground Blast-Furnace Slag

et al. 2022

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Ground blast-furnace slag is one of the waste products available in Ukraine and other countries. It is obtained at metallurgical enterprises in huge quantities and can be efficiently used for concrete production. The article is devoted to obtaining experimental-statistical models of the influence of technological factors that determine the composition of self-compacting concrete (SCC) based on ground blast-furnace slag and polycarboxylate superplasticizer on compressive strength, tensile strength, prismatic strength, elastic modulus and crack resistance. Analysis of the investigated factors’ influence on the specified SCC properties is carried out and positive influence of blast-furnace slag and superplasticizer simultaneous action on durability and deformation characteristics is studied. A design method of SCC composition design using the obtained mathematical models is developed. It allows for the consideration of a set of necessary parameters simultaneously. A numerical example is given.

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Section: Solutionmentioning

confidence: 99%