Seismic Failure Probability of a Curved Bridge Based on Analytical and Neural Network Approaches
المؤلفون المشاركون
Karimi-Moridani, K.
Zarfam, P.
Ghafory-Ashtiany, M.
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-17
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
This study focuses on seismic fragility assessment of horizontal curved bridge, which has been derived by neural network prediction.
The objective is the optimization of structural responses of metaheuristic solutions.
A regression model for the responses of the horizontal curved bridge with variable coefficients is built in the neural networks simulation environment based on the existing NTHA data.
In order to achieve accurate results in a neural network, 1677 seismic analysis was performed in OpenSees.
To achieve better performance of neural network and reduce the dimensionality of input data, dimensionality reduction techniques such as factor analysis approach were applied.
Different types of neural network training algorithm were used and the best algorithm was adopted.
The developed ANN approach is then used to verify the fragility curves of NTHA.
The obtained results indicated that neural network approach could be used for predicting the seismic behavior of bridge elements and fragility, with enough feature extraction of ground motion records and response of structure according to the statistical works.
Fragility curves extracted from the two approaches generally show proper compliance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Karimi-Moridani, K.& Zarfam, P.& Ghafory-Ashtiany, M.. 2017. Seismic Failure Probability of a Curved Bridge Based on Analytical and Neural Network Approaches. Shock and Vibration،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1204106
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Karimi-Moridani, K.…[et al.]. Seismic Failure Probability of a Curved Bridge Based on Analytical and Neural Network Approaches. Shock and Vibration No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1204106
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Karimi-Moridani, K.& Zarfam, P.& Ghafory-Ashtiany, M.. Seismic Failure Probability of a Curved Bridge Based on Analytical and Neural Network Approaches. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1204106
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1204106
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر