An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks

المؤلف

Lee, Sang-Youl

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-09-15

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

هندسة مدنية

الملخص EN

This study deals with an inverse method to identify moving loads on bridge decks using the finite element method (FEM) and a coupled genetic algorithm (c-GA).

We developed the inverse technique using a coupled genetic algorithm that can make global solution searches possible as opposed to classical gradient-based optimization techniques.

The technique described in this paper allows us to not only detect the weight of moving vehicles but also find their moving velocities.

To demonstrate the feasibility of the method, the algorithm is applied to a bridge deck model with beam elements.

In addition, 1D and 3D finite element models are simulated to study the influence of measurement errors and model uncertainty between numerical and real structures.

The results demonstrate the excellence of the method from the standpoints of computation efficiency and avoidance of premature convergence.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Lee, Sang-Youl. 2014. An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044280

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Lee, Sang-Youl. An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1044280

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Lee, Sang-Youl. An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044280

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1044280