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Reliability analysis of reinforced concrete columns under combined seismic and blast loads

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Abstract

It is possible for certain building structures to encounter both the seismic load and blast load during their service life. With the development of the economy and the increase of security demand, the need for design of building structures against multi-hazard is becoming more and more obvious. Therefore, the damage analysis of building structures under the combined action of multiple hazards has become a very urgent requirement for disaster prevention and reduction. In this paper, the refined finite element model of reinforced concrete (RC) columns is established by using the explicit dynamic analysis software LS-DYNA. Combined with the Monte Carlo method, the damage law of RC columns under the combined action of random single earthquake or explosion disaster and multi-hazard is studied, and the damage groups are distinguished according to the damage index. Based on the support vector machine (SVM) algorithm, the dividing line between different damage degree groups is determined, and a rapid method for determining the damage degree of RC columns under the combined seismic and blast loads is proposed. Finally, suggestions for the design of RC column against multi-disaster are put forward.

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Authors and Affiliations

  1. Key Laboratory of Coast Civil Structure Safety of Ministry of Education, Tianjin University, Tianjin, 300354, China

    YanChao Shi & Jian Cui

  2. School of Civil Engineering, Tianjin University, Tianjin, 300354, China

    YanChao Shi, XiaoZhe Sun & Jian Cui

Authors
  1. YanChao Shi
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  2. XiaoZhe Sun
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  3. Jian Cui
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Corresponding author

Correspondence to YanChao Shi.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51878445, 51938011 and 51908405).

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Shi, Y., Sun, X. & Cui, J. Reliability analysis of reinforced concrete columns under combined seismic and blast loads. Sci. China Technol. Sci. 66, 363–377 (2023). https://doi.org/10.1007/s11431-022-2265-5

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  • DOI: https://doi.org/10.1007/s11431-022-2265-5

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