Seismic Performance and Multi-Scale Model of Damage Evolution for Reinforced Concrete Frame Structures

2021 ◽  
Vol 118 (2) ◽  
Author(s):  
Yao-Rong Dong ◽  
Zhao-Dong Xu ◽  
Ye-Shou Xu ◽  
Sarwar Waseem ◽  
Qiang-Qiang Li
Keyword(s):  
Reinforced Concrete ◽  
Seismic Performance ◽  
Damage Evolution ◽  
Scale Model ◽  
Frame Structures ◽  
Reinforced Concrete Frame ◽  
Concrete Frame ◽  
Multi Scale ◽  
Reinforced Concrete Frame Structures

scholarly journals Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Du Guangqian ◽  
Zheng Meng ◽  
Wang Shijie
Keyword(s):  
Big Data ◽  
Reinforced Concrete ◽  
Fault Tolerance ◽  
Seismic Performance ◽  
Frame Structures ◽  
Cloud Platform ◽  
Reinforced Concrete Frame ◽  
Concrete Frame ◽  
High Scalability ◽  
Reinforced Concrete Frame Structures

In the era of big data, the efficient use of idle data in reinforced concrete structures has become a key issue in optimizing seismic performance evaluation methods for building structures. In this paper, based on the evaluation method of structural displacement seismic performance and based on the characteristics of high scalability and high fault tolerance of the cloud platform, the open source distributed and storage features of the Hadoop architecture cloud platform are introduced as a subproject of Apache Nutch project, Hadoop cloud platform. With features such as high scalability, high fault tolerance, and flexible deployment, the storage platform is secure, stable, and reliable. From the evaluation of the seismic performance of newly-built buildings and existing damaged buildings, according to the structural strength-ductility theory of the structure, the building structure resists earthquakes with its strength and ductility and buildings are divided into four categories. Due to the influence of time or seismic damage on the structure of reinforced concrete frame structures, their material properties are often deteriorating. Using the distributed computing design concept to efficiently process big data, a dynamic evaluation model for the seismic performance of reinforced concrete frame structures is established. A project of a 10-story reinforced concrete frame structure was selected for calculation and analysis; the engineering example was used to verify the accuracy and efficiency of the model, and the seismic performance of the floor was analyzed. It can be seen that the initial stiffness index of the structure is not sensitive to the damage location of the structure. The platform based on the concept of distributed computing big data processing can effectively improve the efficiency and accuracy of the evaluation of reinforced concrete frame structures.

Seismic Performance Analysis of Reinforced Concrete Frame Structures Based on Computational Mechanics

2021 ◽  
Author(s):  
Taochun Yang ◽  
Yanjun Li ◽  
Xiaohui Zhai
Keyword(s):  
Reinforced Concrete ◽  
Seismic Performance ◽  
Frame Structure ◽  
Frame Structures ◽  
Reinforced Concrete Frame ◽  
Concrete Frame ◽  
Multi Scale ◽  
Scale Modeling ◽  
Reinforced Concrete Frame Structure ◽  
Multi Scale Modeling

In order to study the degradation law and seismic performance of reinforced concrete frame structure with the extension of service time under normal service environment, the multi-scale modeling of corroded reinforced concrete frame is carried out by using the general finite element analysis software ABAQUS. The correctness of the multi-scale modeling method is verified by the experimental data of corroded reinforced concrete members and single frame. The pushover analysis and elastic-plastic time history analysis of a four story reinforced concrete frame structure are carried out by using a multi-scale model. Then the seismic response and damage of RC frame structures with different service time are compared. The experimental results show that the established seismic performance model of reinforced concrete frame structure is more practical in practical application and can meet the research requirements.

scholarly journals Seismic Damage and Collapse Assessment of Reinforced Concrete Frame Structures Using a Component-Classification Weighted Algorithm

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Jizhi Su ◽  
Boquan Liu ◽  
Guohua Xing ◽  
Yudong Ma ◽  
Jiao Huang
Keyword(s):  
Reinforced Concrete ◽  
Seismic Performance ◽  
Structural Damage ◽  
Damage Model ◽  
Seismic Damage ◽  
Frame Structures ◽  
Collapse Mechanism ◽  
Reinforced Concrete Frame ◽  
Concrete Frame ◽  
Reinforced Concrete Frame Structures

The seismic performance of reinforced concrete members under earthquake excitation is different from that of whole structures; collapse mechanism may occur because of severe damage to individual members, even if the structural damage is not significant. Therefore, the potential seismic damage of each member should be investigated specifically apart from that of overall structure. In this study, a global damage model based on component classification is proposed to analyze the structural damage evolution rule and failure mechanism; then, the computed damage is compared with the experimental phenomena of three 1/3-scale models of three-storey, three-bay reinforced concrete frame structures under low-reversed cyclic loading. In addition, a probabilistic approach is finally adopted to quantify the seismic performance of RC frame structures based on the proposed global damage model. Results indicate that the structures with lower vertical axial force and beam-to-column linear stiffness ratio still maintain a certain load-bearing capacity even when the interstorey drift angle exceeds the elastoplastic limit value and the cumulative damage of structures is mainly concentrated on the beam ends and column bottoms of the first floor at final collapse. Moreover, the structural failure probability at different performance levels would increase significantly if reinforced concrete frame structures suffer ground motions higher than the design fortification intensity, even up to eight times.

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