z-logo
open-access-imgOpen Access
Modal Parameter Identification Of Cable Stayed Bridge Based On Exploratory Data Analysis
Author(s) -
Inamullah Khan,
Deshan Shan,
Q. Li
Publication year - 2015
Publication title -
archives of civil engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 15
eISSN - 2300-3103
pISSN - 1230-2945
DOI - 10.1515/ace-2015-0011
Subject(s) - bridge (graph theory) , identification (biology) , modal , outlier , exploratory data analysis , computer science , data mining , modal analysis , data collection , exploratory analysis , data analysis , engineering , structural engineering , finite element method , statistics , artificial intelligence , mathematics , medicine , chemistry , botany , polymer chemistry , biology , data science
In order to identify the modal parameters of civil structures it is vital to distinguish the defective data from that of appropriate and accurate data. The defects in data may be due to various reasons like defects in the data collection, malfunctioning of sensors, etc. For this purpose Exploratory Data Analysis (EDA) was engaged to envisage the distribution of sensor’s data and to detect the malfunctioning with in the sensors. Then outlier analysis was performed to remove those data points which may disrupt the accurate data analysis. Then Data Driven Stochastic Sub-space Identification (DATA-SSI) was engaged to perform the modal parameter identification. In the end to validate the accuracy of the proposed method stabilization diagrams were plotted. Sutong Bridge, one of the largest span cable stayed bridge was used as a case study and the suggested technique was employed. The results obtained after employing the above mentioned techniques are very valuable, accurate and effective.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom