کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6782792 | 1432274 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Probabilistic 3D alignment optimization of underground transport infrastructure integrating GIS-based subsurface characterization
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
مهندسی ژئوتکنیک و زمین شناسی مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Probabilistic 3D alignment optimization of underground transport infrastructure integrating GIS-based subsurface characterization Probabilistic 3D alignment optimization of underground transport infrastructure integrating GIS-based subsurface characterization](/preview/png/6782792.png)
چکیده انگلیسی
Underground Transport construction is affected by various sources of uncertainty. These uncertainties must be identified, quantified and inherent risks assessed and managed. A crucial step in underground risk management is the planning and design phase. This paper presents an innovative probabilistic alignment optimization tool for underground tunnel construction, which considers uncertainties associated with geology and construction processes. It consists of an integrated approach of two existing tools; an interactive support system, the Decision Aids for Tunneling (DAT), and an optimization tool for linear infrastructure (Opt), which uses GIS-derived maps as input. The capabilities of the approach are demonstrated through an application to the optimization of a subway line at Masdar City, Abu Dhabi in the United Arab Emirates.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Tunnelling and Underground Space Technology - Volume 72, February 2018, Pages 233-241
Journal: Tunnelling and Underground Space Technology - Volume 72, February 2018, Pages 233-241
نویسندگان
Ana Laura Costa, Rita L. Sousa, Herbert H. Einstein,