اضافه کردن به علاقه‌مندی‌ها

نویسنده(ها)

محل انتشار

اولین کنفرانس ملی مهندسی و مدیریت زیر ساختها

اطلاعات انتشار

سال

صفحات

۸ صفحه

Historically, major developments in civil engineering have only been possible because of parallel developments in the technology of materials. In geotechnical engineering, polymeric reinforcement materials is a subset of a much larger recent development in civil engineering materials: geosynthetics. Geosynthetics are planar products manufactured from polymeric materials (the synthetic) used with soil, rock, or other geotechnical– related material (the geo) as part of a civil engineering project or system. This paper is devoted to create another parallel development in using these materials by optimizing the ultimate bearing capacity of reinforced soils under strip footing using Artificial Neural Network and Genetic Algorithm.

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راهنمای دریافت مقاله‌ی «Optimization of Artificial Neural Networks for the Prediction of Maximum Bearing Capacity in Reinforced Sand» در حال تکمیل می‌باشد.

دریافت فایل PDF

۵۴۰۰ تومان

دریافت فایل Word + PDF

۶۷۰۰ تومان