Prediction the Ultimate Bearing Capacity of Shallow Foundations on the Cohesionless Soils Using M5P Model Tree
Abstract:
Bearing capacity prediction of shallow foundation is one of the most important problems in geotechnical engineering practices, with a wide variety range of methods which have been introduced to forecast it accurately. Recently, soft computing methods such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have been used for prediction of the ultimate bearing capacity of shallow foundation. However, in these methods the modeling process is complex and are not as easy to use as the empirical equations. In this paper, M5P model tree as a new soft computing method has been used for prediction of the ultimate bearing capacity of shallow foundation. The main advantage of model tree is that, compared to ANN and SVM, they are easier to use and more importantly they represent understandable mathematical rules. Laboratory experimental tests of shallow foundations on cohesionless soils were used with parameters of the internal friction angle, the unit weight of the soil, and the geometry of a foundation considers depth, width, and length to develop and test the model. The results achieved from the proposed model was compared with those obtained from the Meyerhof, Hansen and Vesic computation formulas. The results indicate that M5P model tree perform better than the mentioned theoretical methods.
Language:
Persian
Published:
Journal of Civil Engineering Ferdowsi, Volume:27 Issue: 2, 2016
Pages:
99 to 110
magiran.com/p1595201  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 990,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
دسترسی سراسری کاربران دانشگاه پیام نور!
اعضای هیئت علمی و دانشجویان دانشگاه پیام نور در سراسر کشور، در صورت ثبت نام با ایمیل دانشگاهی، تا پایان فروردین ماه 1403 به مقالات سایت دسترسی خواهند داشت!
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 50 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!