Innovative Hysteresis Model and Parameter Identification Method for Reinforced Concrete Rectangular Hollow Piers

LI Jing; SHAO Changjiang; QIAN Yongjiu; YANG Huaping

doi:10.3969/j.issn.0258-2724.20190058

Volume 55 Issue 4

Jul. 2020

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Journal of Southwest Jiaotong University > 2020 > 55(4): 765-771.

SHAO Yongbo, ZHU Hongmei, YANG Dongping. Static Bearing Capacity Analysis of CFRP-Reinforced Short CHS Steel Tubular Columns under Axial Compression[J]. Journal of Southwest Jiaotong University, 2020, 55(1): 167-174. doi: 10.3969/j.issn.0258-2724.20180527

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LI Jing, SHAO Changjiang, QIAN Yongjiu, YANG Huaping. Innovative Hysteresis Model and Parameter Identification Method for Reinforced Concrete Rectangular Hollow Piers[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 765-771. doi: 10.3969/j.issn.0258-2724.20190058

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Innovative Hysteresis Model and Parameter Identification Method for Reinforced Concrete Rectangular Hollow Piers

doi: 10.3969/j.issn.0258-2724.20190058

Received Date: 04 Jan 2019
Rev Recd Date: 04 Nov 2019

Available Online: 11 Dec 2019

Publish Date: 01 Aug 2020

Abstract

Abstract

In order to precisely simulate the stiffness degradation of RC (reinforced concrete) rectangular hollow piers and provide the theoretical base for the research on post-earthquake resilient bridges, 14 RC rectangular hollow pier specimens with different design parameters were tested under semi-static loading. A modified Bouc-Wen-Baber-Noori (BWBN) hysteresis model was built, in which a peak-displacement coefficient was introduced to reflect the correlation between stiffness degradation and peak displacement. The hysteresis model parameters of each measured hysteresis curve were identified by combination of particle swarm optimization and gravitational search algorithm (PSOGSA). The relationship between the design parameters of hollow piers and hysteresis model parameters were regressed, and an empirical prediction method was summarized. The results show that the modified BWBN hysteresis curve is well matched with the measured hysteresis curve and the correlation coefficients are all above 0.98. The new hysteresis model can reflect how the lateral stiffness of piers degrades with peak displacement. PSOGSA is able to identify the hysteresis model parameters of the measured hysteresis curve precisely. The correlation coefficients between the measured hysteresis curve and modelling curve generated by empirical prediction method is 0.83. The method is applicable to the cases of bridge piers without the measured hysteresis curves.
- bridge engineering,
- seismic design,
- RC rectangle hollow pier,
- hysteresis model,
- intelligent optimization algorithm

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References

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