Development and Validation of a Segment Fiber Model for Simulating Seismic Collapse in Steel-Reinforced Concrete Structures Using the Discrete Element Method

Author:

Duan Qingyu1ORCID,Wang Qiang1,Yang Chunxiao1

Affiliation:

1. School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Abstract

In this study to accurately simulate the entire collapse process of steel-reinforced concrete (SRC) building structures subjected to seismic actions, a segment fiber model of SRC components (SRC-SFM) was constructed based on the segment fiber model of the discrete element method (DEM) with the introduction of steel fiber bundles. The internal steel and reinforcement fiber bundles were modeled using a uniaxial steel constitutive model, while the concrete fiber bundles were represented by a uniaxial concrete constitutive model that considered the confinement provided by the steel and stirrups. Subsequently, the hysteretic performance of the SRC components and frames was simulated, and the results indicate that the model can effectively capture their hysteretic behavior. A dynamic elastoplastic analysis was conducted on an SRC structure model, and the results obtained from the discrete element software DEM-COLLAPSE were compared with those generated using the finite element software ABAQUS6.96.9. The results indicate that when the acceleration amplitude is relatively low, the computational results are highly consistent with those of the ABAQUS6.9-SRC structural model. At higher acceleration amplitudes, while some numerical differences are observed, the overall trend of the curves re-mains consistent. This demonstrates that the results of dynamic elastic-plastic analysis obtained from DEM-COLLAPSE are of significant reference value, which lays a solid foundation for the application of DEM-COLLAPSE in subsequent collapse simulations of SRC building structures.

Publisher

MDPI AG

Reference33 articles.

1. Predicting the shear strength of reinforced concrete beams using Artificial Neural Networks;Asteris;Comput. Concr.,2019

2. Seismic performance of steel reinforced concrete column-steel beam joints with composite floor slabs;Wang;Eng. Struct.,2020

3. Seismic behavior and design method for composite steel and concrete moment-resisting frames;Liu;J. Construct. Steel Res.,2021

4. A machine-learning-based model for seismic performance assessment of interior slab-column connections;Panahi;Soil Dyn. Earthq. Eng.,2023

5. Experimental studies on the seismic behavior of reinforced concrete beam-column joints strengthened with basalt fiber-reinforced polymer sheets;Shen;Construct. Build. Mater.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3