Modeling of unconfined compressive strength and Young's modulus of lime and cement stabilized clayey subgrade soil using Evolutionary Polynomial Regression (EPR)

Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 158

This Paper With 13 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_IJMGE-56-3_008

تاریخ نمایه سازی: 27 مهر 1401

Abstract:

In this study, the evolutionary polynomial regression (EPR) method has been employed to develop simple models with reasonable accuracy to predict the compressive strength and Young's modulus of the lime/cement stabilized clayey subgrade soil. For this purpose, the different specimens with the various cement and lime contents, at three moisture contents (dry side, wet side, and optimum moisture content) were fabricated and were cured for ۷, ۱۴, ۲۱, ۲۸ and, ۶۰ days to conduct the unconfined compressive strength (UCS) test. According to the test results, a dataset consisting of ۷۵ records for each additive was prepared. Results of this study show that the R۲ value of the developed model for predicting UCS of cement-stabilized clay soil is equal to ۰.۹۶ and ۰.۹۵ for training and testing sets, respectively. These two values for lime-stabilized soil are ۰.۹۱ and ۰.۸۷, respectively. Moreover, the R۲ for predicting Young's modulus of cement-stabilized clay soil is equal to ۰.۹۰ and ۰.۸۹ for training and testing set, respectively. These two values for predicting Young's modulus of lime-stabilized soil are ۰.۸۸ and ۰.۹۴, respectively. The sensitivity analysis showed that for the Portland cement stabilized clayey subgrade, the percentage of the Portland cement and moisture content are the most significant parameters for predicting the UCS and Young's modulus, respectively. In contrast, for the lime-stabilized clayey subgrade soil, the most important parameters are the moisture content and the UCS, respectively.

Authors

Ali Reza Ghanizadeh

Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran

Nasrin Heidarabadizadeh

Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran

Meysam Bayat

Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Vahid Khalifeh

Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Yilmaz, Y., & Ozaydin, V. (۲۰۱۳). Compaction and shear strength ...
  • Dang, L. C., Fatahi, B., & Khabbaz, H. (۲۰۱۶). Behaviour ...
  • Yaghoubi, M., Shukla, S. K., & Mohyeddin, A. (۲۰۱۸). Effects ...
  • Mohammadinia, A., Arulrajah, A., Sanjayan, J., Disfani, M. M., Bo, ...
  • ACI Committee, (۱۹۹۰) State-of-the-art report on soil cement. Journal ACI, ۸۷(۴), ...
  • Bergado, D., Anderson, L., Miura, N., & Balasubramaniam, A. (۱۹۹۶). ...
  • Mallela, J., Quintus, H. V., & Smith, K. (۲۰۰۴). Consideration ...
  • Croft, J. (۱۹۶۷). The influence of soil mineralogical composition on ...
  • Ghanizadeh, A., Delaram, A. (۲۰۲۱). Development of Predictting Model for ...
  • Giustolisi, O., & Savic, D. A. (۲۰۰۶). A symbolic data-driven ...
  • Balf, M. R., Noori, R., Berndtsson, R., Ghaemi, A., & ...
  • Harichane, K., Ghrici, M., & Kenai, S. (۲۰۱۱). Effect of ...
  • Ghanizadeh, A. R., Yarmahmoudi, A., & Abbaslou, H. (۲۰۲۰). Mechanical ...
  • Laucelli, D., Berardi, L., Doglioni, A., & Giustolisi, O. (۲۰۱۲). ...
  • Kogbara, R. B., & Al-Tabbaa, A. (۲۰۱۱). Mechanical and leaching ...
  • Boz, A., Sezer, A., Özdemir, T., Hızal, G. E., & ...
  • Remesan, R., Shamim, M., & Han, D. (۲۰۰۸). Model data ...
  • نمایش کامل مراجع