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publication name Computer-Aided Data for Machinery Foundation Analysis and Design
Authors Galal A Hassaan, Maha M Lashin, Mohammed A Al-Gamil
year 2012
keywords
journal
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Local/International International
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Abstract

Data on soil properties and characteristics are essential for proper analysis and design of machinery foundations. Most of the data are available in the form of tables or graphical charts which are not suitable for computer-aided analysis and design. The paper collects some of the important soil data which are required to analyze and design foundations for machinery support. The date is molded in a curve fitting form suitable for computer-aided analysis and design of those foundations. The models used are in the form of polynomials, power models or complex 16-parameters models of multi-parameters models. The assigned models facilitate the optimal design of foundations for multiple purposes such as production machinery and turbo-machinery support and have multiple correlation coefficient ≥ 0.989.

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