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ABSTRACT

Design Capacity Determination Method from Specimen Testing Based on Design Reliability Analysis

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The International Conference on Computational & Experimental Engineering and Sciences 2011, 16(1), 13-14. https://doi.org/10.3970/icces.2011.016.013

Abstract

In structural design, sometimes analysis methods in available specifications cannot be used directly for new materials or new structural configurations. A common way is to test and check the behavior in question of the prototype units including complete or parts of structures, individual members or connections for design assessment. How to directly obtain the design capacity with an expected reliability level according to the related codes from test results is a critical issue. Currently, there isn't any explicit specification for the above issues in Chinese codes, and few references are available. In this paper, referring to Australian specifications for Cold-formed Steel Structures and the actual structural design requirements in China, a complete method for determining the design capacity of the test specimens based on both probability calculation and design reliability analysis was presented, also the preconditions and applications of this method were discussed.

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APA Style
Li, Y., Wang, L., Shen, Z. (2011). Design capacity determination method from specimen testing based on design reliability analysis. The International Conference on Computational & Experimental Engineering and Sciences, 16(1), 13-14. https://doi.org/10.3970/icces.2011.016.013
Vancouver Style
Li Y, Wang L, Shen Z. Design capacity determination method from specimen testing based on design reliability analysis. Int Conf Comput Exp Eng Sciences . 2011;16(1):13-14 https://doi.org/10.3970/icces.2011.016.013
IEEE Style
Y. Li, L. Wang, and Z. Shen, “Design Capacity Determination Method from Specimen Testing Based on Design Reliability Analysis,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 16, no. 1, pp. 13-14, 2011. https://doi.org/10.3970/icces.2011.016.013



cc Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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