Method dependency of relationships between specific surface area and soil physicochemical properties


Yukselen-Aksoy Y., Kaya A.

APPLIED CLAY SCIENCE, vol.50, no.2, pp.182-190, 2010 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 50 Issue: 2
  • Publication Date: 2010
  • Doi Number: 10.1016/j.clay.2010.07.020
  • Journal Name: APPLIED CLAY SCIENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.182-190
  • Keywords: Specific surface area, Consistency limits, Clay fraction, Methylene blue, Ethylene glycol monoethyl ether, BET surface area, CATION-EXCHANGE CAPACITY, ATTERBERG LIMITS, METHYLENE-BLUE, ORGANIC-MATTER, LIQUID LIMIT, ADSORPTION, SHRINKAGE, INTERRELATIONSHIPS, INDEXES, CLAYS
  • Dokuz Eylül University Affiliated: No

Abstract

It is postulated that the behavior of fine-grained soils may be explained by the relationship between surface area and other geotechnical properties. To this end, there are several studies correlating geotechnical indexes with specific surface area (SSA). However, there is no universally accepted specific surface area determining method as several methods are available. Depending on the method employed, the measured specific surface area may show variations for a given soil. This is because the predictive power of each method depends on the type of minerals and organic matter that are present in the soil. Thus, different SSA determination methods yield widely different estimates of index properties and regression equations. To examine the role of method on SSA of soils, the SSAs of 32 soils with different mineralogies were determined using BET-N-2, EGME, MB-titration, and MB-spot test methods. The measured SSA of soils was correlated with their respective geotechnical index properties. Further, the data obtained in this study and those reported by previous researchers were compared. The results suggest that correlations between geotechnical index properties and SSA using different methods may not be comparable. Accurate prediction, however, is provided only if the relationship is calibrated using soils having similar physical and chemical characters. (c) 2010 Elsevier B.V. All rights reserved.