IJE TRANSACTIONS B: Applications Vol. 30, No. 11 (November 2017) 1508-1517    Article in Press

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H. Javdanian
( Received: August 17, 2017 – Accepted: September 08, 2017 )

Abstract    This study focuses on evaluating the unconfined compressive strength (UCS) of improved fine-grained soils. A large database of unconfined compressive strength of clayey soil specimens stabilized with fly ash and blast furnace slag based geopolymer were collected and analyzed. Subsequently, using adaptive neuro fuzzy inference system (ANFIS), a model has been developed to assess the UCS of stabilized fine-grained soils. Types of additives and their compositions as well as soil characteristics were considered as the most important parameters affecting the resistance of stabilized soil. Subsequently, the accuracy of the proposed model was examined. Finally, a parametric study was conducted to investigate the performance of the proposed model and also the effect of each influential parameter on the UCS of amended soil specimens. The results demonstrate that the ANFIS-based model, that was developed based on experimental results, can be successfully applied for assessment of unconfined compressive strength of stabilized fine-grained soils.


Keywords    Fine-grained soil, Soil improvement, Unconfined compressive strength, Geopolymerization, ANFIS.


چکیده    در این مطالعه به ارزیابی مقاومت فشاری محدود نشده­ی (UCS) خاک­های ریزدانه­ی بهسازی شده پرداخته شده است. مجموعه­ای از نتایج مقاومت فشاری محدود نشده­ی خاک­های رسی تثبیت شده با ژئوپلیمرها مورد تحلیل قرار گرفت. با استفاده از سیستم استنتاج فازی عصبی مدلی جهت برآورد UCS ارائه شد. مشخصات خاک و نوع مواد افزودنی شیمیایی به عنوان مهمترین پارامترهای مؤثر بر مقاومت خاک اصلاح شده در مدل UCS لحاظ گردید. دقت مدل پیشنهادی بررسی شد. به منظور بررسی اثر هر یک از پارامترهای مؤثر بر مقاومت فشاری محدود نشده و همچنین چگونگی عملکرد مدل پیشنهادی، مطالعه­ی پارامتریک انجام شد. نتایج بیانگر دقت قابل قبول مدل مبتنی بر ANFIS در پیش­بینی مقاومت فشاری محدود نشده­ی خاک­های ریزدانه­ی تثبیت شده با ژئوپلیمر است.

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