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A multi-attribute decision making approach of mix design based on experimental soil characterization

A multi-attribute decision making approach of mix design based on experimental soil characterization
A multi-attribute decision making approach of mix design based on experimental soil characterization

The clay mineral composition is one of the major factors that governs the physical properties of silty sand subgrade. Therefore, a thorough knowledge of mineral composition is essential to predict the optimum engineering properties of the soil, which is generally characterized by different indices like maximum dry density (MDD), California bearing ratio (CBR), unconfined compressive strength (UCS) and free swelling index (FSI). In this article, a novel multiattribute decision making (MADM) based approach of mix design has been proposed for silty sand–artificial clay mix to improve the characteristic strength of a soil subgrade. Experimental investigation has been carried out in this study to illustrate the proposed approach of selecting appropriate proportion for the soil mix to optimize all the above mentioned engineering properties simultaneously. The results show that a mix proportion containing approximately 90% silty sand plus 10% bentonite soil is the optimal combination in context to the present study. The proposed methodology for optimal decision making to choose appropriate combination of bentonite and silty sand is general in nature and therefore, it can be extended to other problems of selecting mineral compositions.

bentonite soil, multi-attribute decision making, silty sand, soil mix design
2095-2430
361-371
Bera, Amit K.
8854a5e6-a375-4177-8bfe-55621a47b963
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Mohan, Ponnada J.
147016ff-b338-49da-a50f-3084afefa9ee
Dey, Tushar K.
f81f92ce-9067-44da-aac7-f5a8d2ff5d0b
Bera, Amit K.
8854a5e6-a375-4177-8bfe-55621a47b963
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Mohan, Ponnada J.
147016ff-b338-49da-a50f-3084afefa9ee
Dey, Tushar K.
f81f92ce-9067-44da-aac7-f5a8d2ff5d0b

Bera, Amit K., Mukhopadhyay, Tanmoy, Mohan, Ponnada J. and Dey, Tushar K. (2018) A multi-attribute decision making approach of mix design based on experimental soil characterization. Frontiers of Structural and Civil Engineering, 12 (3), 361-371. (doi:10.1007/s11709-017-0425-7).

Record type: Article

Abstract

The clay mineral composition is one of the major factors that governs the physical properties of silty sand subgrade. Therefore, a thorough knowledge of mineral composition is essential to predict the optimum engineering properties of the soil, which is generally characterized by different indices like maximum dry density (MDD), California bearing ratio (CBR), unconfined compressive strength (UCS) and free swelling index (FSI). In this article, a novel multiattribute decision making (MADM) based approach of mix design has been proposed for silty sand–artificial clay mix to improve the characteristic strength of a soil subgrade. Experimental investigation has been carried out in this study to illustrate the proposed approach of selecting appropriate proportion for the soil mix to optimize all the above mentioned engineering properties simultaneously. The results show that a mix proportion containing approximately 90% silty sand plus 10% bentonite soil is the optimal combination in context to the present study. The proposed methodology for optimal decision making to choose appropriate combination of bentonite and silty sand is general in nature and therefore, it can be extended to other problems of selecting mineral compositions.

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More information

Published date: 1 September 2018
Additional Information: Publisher Copyright: © 2017, Higher Education Press and Springer-Verlag GmbH Germany.
Keywords: bentonite soil, multi-attribute decision making, silty sand, soil mix design

Identifiers

Local EPrints ID: 483552
URI: http://eprints.soton.ac.uk/id/eprint/483552
ISSN: 2095-2430
PURE UUID: e9dd1822-4564-41d9-a1f7-baf43827bc3c

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Date deposited: 01 Nov 2023 18:00
Last modified: 18 Mar 2024 04:10

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Contributors

Author: Amit K. Bera
Author: Tanmoy Mukhopadhyay
Author: Ponnada J. Mohan
Author: Tushar K. Dey

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