دورية أكاديمية

A probabilistic bridge safety evaluation against floods

التفاصيل البيبلوغرافية
العنوان: A probabilistic bridge safety evaluation against floods
المؤلفون: Liao, Kuo‑Wei, Muto, Yasunori, Chen, Wei‑Lun, Wu, Bang‑Ho
بيانات النشر: Springer
سنة النشر: 2017
المجموعة: Tokushima University Institutional Repository / 徳島大学機関リポジトリ
مصطلحات موضوعية: Bridge safety, Flood-resistant reliability, MCS, Bayesian LS-SVM
الوصف: To further capture the influences of uncertain factors on river bridge safety evaluation, a probabilistic approach is adopted. Because this is a systematic and nonlinear problem, MPP-based reliability analyses are not suitable. A sampling approach such as a Monte Carlo simulation (MCS) or importance sampling is often adopted. To enhance the efficiency of the sampling approach, this study utilizes Bayesian least squares support vector machines to construct a response surface followed by an MCS, providing a more precise safety index. Although there are several factors impacting the flood-resistant reliability of a bridge, previous experiences and studies show that the reliability of the bridge itself plays a key role. Thus, the goal of this study is to analyze the system reliability of a selected bridge that includes five limit states. The random variables considered here include the water surface elevation, water velocity, local scour depth, soil property and wind load. Because the first three variables are deeply affected by river hydraulics, a probabilistic HEC-RAS-based simulation is performed to capture the uncertainties in those random variables. The accuracy and variation of our solutions are confirmed by a direct MCS to ensure the applicability of the proposed approach. The results of a numerical example indicate that the proposed approach can efficiently provide an accurate bridge safety evaluation and maintain satisfactory variation.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 21931801
العلاقة: http://repo.lib.tokushima-u.ac.jp/files/public/11/110892/20171114115301701743/springerplus_5_783.pdfTest; http://repo.lib.tokushima-u.ac.jp/110892Test
الإتاحة: http://repo.lib.tokushima-u.ac.jp/110892Test
رقم الانضمام: edsbas.23A94B9A
قاعدة البيانات: BASE