[1] Cai Jing, Wu Zhishen, Statistical condition assessment of existing structuresusing virtual work error estimator [J]. Journal of Southeast University (English Edition), 2007, 23 (4): 577-582. [doi:10.3969/j.issn.1003-7985.2007.04.020]

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Statistical condition assessment of existing structuresusing virtual work error estimator()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

23

Issue:

2007 4

Page:

577-582

Research Field:

Civil Engineering

Publishing date:

2007-12-30

Info

Title:

Statistical condition assessment of existing structuresusing virtual work error estimator

Author(s):

Cai Jing¹;  2;  Wu Zhishen²;  3

¹College of Civil Engineering, Nanjing University of Technology, Nanjing 210009, China
² School of Civil Engineering, Southeast University, Nanjing 210096, China
³ Department of Urban System, University of Ibaraki,

Keywords:

virtual work;  constitutive parameter;  parameter estimation;  hypothesis test

PACS:

TU317

DOI:

10.3969/j.issn.1003-7985.2007.04.020

Abstract:

A statistical damage detection and condition assessment scheme for existing structures is developed.First a virtual work error estimator is defined to express the discrepancy between a real structure and its analytical model, with which a system identification algorithm is derived by using the improved Newton method.In order to investigate its properties in the face of measurement errors, the Monte Carlo method is introduced to simulate the measured data.Based on the identified results, their statistical distributions can be assumed, the status of an existing structure can be statistically evaluated by hypothesis tests.A 5-story, two-bay steel frame is used to carry out numerical simulation studies in detail, and the proposed scheme is proved to be effective.

References:

[1] Melchers Robert E.Assessment of existing structures approaches and research needs [J].Journal of Structural Engineering, ASCE, 2001, 127(4):406-411.
[2] Yeo I, Shin S.Statistical damage assessment of framed structures from static responses [J].Journal of Engineering Mechanics, ASCE, 2000, 126(4):414-421.
[3] Cai Jing, Wu Zhishen.Statistical damage localization and assessment of frame structures from static test data[J].Journal of Structure Engineering, 2001, 47A:9-18.
[4] Sanayei M, Onipede O.Damage assessment of structures using static test data [J].AIAA Journal, 1990, 29(7):1174-1179.
[5] Banan M R, Hjelmstad K D.Parameter estimation of structures from static response.Ⅰ.Computational aspects [J].Journal of Structural Engineering, ASCE, 1994, 120(11):3243-3258.
[6] Banan M R, Hjelmstad K D.Parameter estimation of structures from static response.Ⅱ.Numerical simulation studies [J].Journal of Structural Engineering, ASCE, 1994, 120(11):3259-3283.
[7] Törn A, Zilinskas A.Global optimization[M].New York:Springer-Verlag, 1987.
[8] Hjelmstad K D, Shin S.Damage detection and assessment of structures from static response [J].Journal of Engineering Mechanics, ASCE, 1997, 123(6):568-576.
[9] Cai Jing, Li Zhaoxia, Wu Zhishen.Statistical approach to evaluating the status of an existing structure using static test data [J].Engineering Mechanics, 2004, 21(6):76-83.(in Chinese)
[10] Cai Jing, Li Zhaoxia, Wu Zhishen.Virtual work error estimator for status assessment of existing structures(ISTP)[C]//International Symposium on Innovation & Sustainability of Structures in Civil Engineering.Nanjing, 2005, 1:1652-1660.

Memo

Memo:

Biography: Cai Jing(1963—), female, doctor, associate professor, caijing@seu.edu.cn.

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