کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
260051 503650 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time
چکیده انگلیسی

Jet grouting (JG) is a soil treatment technique which is the best solution for several soil improvement problems. However, JG lacks design rules and quality controls. As a result, the main JG works are planned from empirical rules that are too conservative. The development of rational models to simulate the effects of the different parameters involved in the JG process is of primary importance in order to satisfy the binomial safety-economy that is required in any engineering project. In this paper, we present a new approach to predict the uniaxial compressive strength (UCS) of JG materials based on data mining techniques. This model was developed and verified using data from a JG laboratory formulation that involves the measurement of UCS. The results of the proposed approach are compared with the EC2 analytical model adapted to the JG material, and the advantages of the new approach are highlighted. We show that the novel data-driven model is able to learn (with high accuracy) the complex relationships between the UCS of JG material and its contributing factors.

Research highlights
► New data mining model (SVM) to predict jet grouting strength over time.
► Key parameters to predict jet grouting strength are identified.
► New model for 28 days strength prediction without laboratory tests.
► Knowing 28 days strength, Eurocode 2 model is accurate in strength prediction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Construction and Building Materials - Volume 25, Issue 3, March 2011, Pages 1257–1262
نویسندگان
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