کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7195804 | 1468245 | 2014 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of axle and vehicle load properties through Bayesian Networks based on Weigh-in-Motion data
ترجمه فارسی عنوان
تجزیه و تحلیل خواص باربری محور و وسایل نقلیه از طریق شبکه های بیزی بر اساس داده های وزن در حرکت
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی مکانیک
چکیده انگلیسی
Bayesian Networks (BNs) are models that comply with the characteristics listed above. In this paper we discuss BN models and results concerning their ability to adequately represent the data. The paper places attention on the construction and use of the models. We discuss applications of the proposed BNs in reliability analysis. In particular we show how the proposed BNs may be used for computing design values for individual axles, vehicle weight and maximum bending moments of bridges in certain time intervals. These estimates have been used to advise authorities with respect to bridge reliability. Directions as to how the model may be extended to include locations where the WIM system does not operate are given whenever possible. These ideas benefit from structured expert judgment techniques previously used to quantify Hybrid Bayesian Networks (HBNs) with success.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 125, May 2014, Pages 153-164
Journal: Reliability Engineering & System Safety - Volume 125, May 2014, Pages 153-164
نویسندگان
Oswaldo Morales-Nápoles, Raphaël D.J.M. Steenbergen,