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Previously described microstructures were composed of solid material constituents.
In such scenarios, leaching of material constituents is a primary pathway for environmental impact.
Theoretical formulation is described which presents probabilistic distributions of material constituents.
IThes observolumeat the buckling load and post-buckling response ofractionM plate is almoftheamaterial plate aspeconstituentse than or equal to 3.
Suitable material constituents have been pre-selected based on their properties and availability in the United States of America.
It is based on the competition between bulk and heterogeneous transfer, with possible reactivity contrasts between the material constituents.
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Enormous amount of Construction and Demolition Waste (CDW) are yearly generated in Europe and the predominant material constituent is concrete.
The effective material properties of the graded structure are evaluated using micromechanical rule (Voigt type) in association with the power-law distribution of the material constituent.
This paper develops a detailed approach and its corresponding computer software prototype for selecting optimal material constituent compositions and microstructures according to the determined or optimized material properties using an improved Genetic Algorithm.
In case of bulk materials, all the bonding requirements (ionic, covalent, or metallic) of the material constituent atoms are filled by other atoms in the material.
In addition, surface temperature has been also taken into account as an important parameter linked to the material constituent the work of art.
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