Implementation of the discrete area method and its impact on the steel reinforcement of large mat foundations

Mat foundation design can pose important soil-structure interaction problems that are often oversimplified. According to Winkler’s hypothesis, the deformation of foundations under applied loads is confined to the loaded regions, but this is seldom accurate. In structural analysis, Winkler springs, d...

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Bibliographic Details
Published in:Innovative infrastructure solutions : the official journal of the Soil-Structure Interaction Group in Egypt (SSIGE) Vol. 10; no. 4; p. 131
Main Authors: Alzoaby, Hassan, Saad, Gaby, Abou-Jaoude, Grace
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.04.2025
Springer Nature B.V
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ISSN:2364-4176, 2364-4184
Online Access:Get full text
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Summary:Mat foundation design can pose important soil-structure interaction problems that are often oversimplified. According to Winkler’s hypothesis, the deformation of foundations under applied loads is confined to the loaded regions, but this is seldom accurate. In structural analysis, Winkler springs, defined by the coefficient of subgrade reaction (k s ), are mostly used to represent the ground. To simplify the modeling process even more, designers tend to consider a single value of k s . In 1995, the American Concrete Institute published a special review on the design and performance of mat foundations (SP-152) suggesting the iterative discrete area method (DAM), which accounts for variable k s values across the mat; however, this method is seldom used in practice. This study investigates the impact of the DAM on the steel reinforcement design of large mat foundations and compares it with the reinforcement that results from using a constant k s . Validation was performed using the finite element method. With the variable k s model, an optimized steel reinforcement distribution is generated. Most analysis show a reduction in top steel reinforcement and an increase in bottom steel reinforcement.
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ISSN:2364-4176
2364-4184
DOI:10.1007/s41062-025-01926-x