Fractile-based method for selecting characteristic values for geotechnical design with LRFD

التفاصيل البيبلوغرافية
العنوان: Fractile-based method for selecting characteristic values for geotechnical design with LRFD
المؤلفون: Xiaohui Tan, C. Hsein Juang, Yongjie Zhang, Mengfen Shen
المصدر: Soils and Foundations. 60:115-128
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 021110 strategic, defence & security studies, Computer science, 0211 other engineering and technologies, Foundation (engineering), 02 engineering and technology, Geotechnical Engineering and Engineering Geology, Load factor, Drilled shaft, Robustness (computer science), Geotechnical engineering, Soil parameters, Selection (genetic algorithm), 021101 geological & geomatics engineering, Civil and Structural Engineering, Test data
الوصف: Load and resistance factor design (LRFD), also known as partial factor design, is becoming a design method of choice in geotechnical practice. The partial factors (i.e., resistance factor and load factor) to ensure safety are specified in the adopted code; however, engineers still need to select values for the uncertain soil parameters in a design. The selection of these parameter values, often called characteristic values, is quite challenging given soil variability and limited test data. This paper presents a fractile-based method for the selection of the characteristic values for the uncertain soil parameters in a design with LRFD. A framework that considers safety, cost, and robustness is established to determine an appropriate fractile for selecting the characteristic values. This framework is demonstrated with two examples, a drilled shaft in sand and a shallow spread foundation. The results show that robust designs can be achieved using LRFD with the characteristic values obtained through the proposed fractile-based method.
تدمد: 0038-0806
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ede1f6fa20f7d7399f3ea8e5b174cc76
https://doi.org/10.1016/j.sandf.2020.01.010
حقوق: OPEN
رقم الأكسشن: edsair.doi...........ede1f6fa20f7d7399f3ea8e5b174cc76
قاعدة البيانات: OpenAIRE