Technical Papers
Jan 7, 2016

Assessment of Structural Robustness under Different Events according to Vulnerability

Publication: Journal of Performance of Constructed Facilities
Volume 30, Issue 5

Abstract

Structural robustness is investigated in this study according to its opposite property, i.e., structural vulnerability, which is calculated as the assembly of component vulnerability measured by the vulnerability coefficient. Different types of vulnerability coefficients are suitable for both truss and RC frame structures. An importance coefficient based on the bearing capacity of the remaining structure is proposed to reveal the internal topology and failure scenarios, and is viewed as the weight coefficient of the corresponding vulnerability coefficient. The occurrence probability density function is introduced to describe the uncertainty of abnormal events and assess structural robustness under different events. Numerical examples of several idealized trusses and a RC frame are performed to demonstrate the use of the proposed robustness index. Analysis results show that the robustness index provided good explanation for robustness quantification for both truss and RC frame structures under different events. Moreover, two methods, i.e., increasing the local resistance and redundancy of the structure, to upgrade structural robustness also testify to the effectiveness and accuracy of the robustness index.

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Acknowledgments

The work described in this paper has been funded in part by the National Natural Science Foundation of China (No. 51078132). The authors also acknowledge Zhongyuan Xu for his assistance in graph software and Libo Yan for his valuable comments on this paper.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 30Issue 5October 2016

History

Received: Dec 1, 2014
Accepted: Oct 23, 2015
Published online: Jan 7, 2016
Discussion open until: Jun 7, 2016
Published in print: Oct 1, 2016

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Authors

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Yong-Liang Chen [email protected]
College of Civil Engineering, Hunan Univ., Changsha 410082, China; Hunan Provincial Key Lab on Damage Diagnosis for Engineering Structures, Changsha 410082, China. E-mail: [email protected]
Liang Huang [email protected]
Associate Professor, College of Civil Engineering, Hunan Univ., Changsha 410082, China; Hunan Provincial Key Lab on Damage Diagnosis for Engineering Structures, Changsha 410082, China (corresponding author). E-mail: [email protected]
College of Civil Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Lu Deng, Ph.D., M.ASCE [email protected]
Professor, College of Civil Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Hao-Zhi Tan [email protected]
College of Civil Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]

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