Nonlinear seismic response of reinforced concrete large-panel precast building of type '92s'
Nonlinear seismic response of reinforced concrete large-panel precast building of type '92s'

Nonlinear seismic response of reinforced concrete large-panel precast building of type '92s'

DOI: 10.37153/2618-9283-2025-2-09-30

Authors:  

Абаев Заурбек Камболатович Zaurbek Abaev1

Cand. Sci. (Engineering), Vladikavkaz Scientific Centre of the Russian Academy of Sciences; 1, Vil'yamsa street, Mikhaylovskoe, 363110. ORCID: https://orcid.org/0000-0002-6932-2740, RISC ID: 756761, Scopus ID: 57194205721; zaurbek_a@yahoo.com


Scopus: 57194205721

Валиев Азамат Джониевич Azamat Valiev
Ph.D student; Department of Civil Engineering; North Caucasian Institute of Mining and Metallurgy (State Technological University), NCIMM (STU); 2403 VT, The Netherlands, Alphen aan den Rijn, Distelstraat 5; 362021, Republic of North Ossetia - Alania, Vladikavkaz, Nikolaeva st. 44; RISC ID: 1124556


Rubric:     Theoretical and experimental studies   
Key words: Large-Panel Buildings, Joint, Nonlinear Dynamic Analysis, Seismic Performance Evaluation, Interstory Drift Ratio
Annotation:

Introduction. This study investigates the seismic performance of reinforced concrete precast Large Panel Buildings (LPBs) of type 92s (USSR). The widespread use of LPBs in seismically active regions, along with their unique structural properties and the limitations of current analysis methods, necessitates a more comprehensive understanding of their behavior during seismic events.

Methods. A numerical model was developed using LIRA-SAPR software to capture the complex dynamics of LPBs. This model incorporates nonlinear material properties, panel-to-panel interaction, and joint behavior under dynamic loading conditions.

Results. The analysis revealed significant differences in seismic response, particularly for lower concrete grades, highlighting the critical role of accurate material characterization. The distributions of displacement, acceleration, and damage align with existing literature and full-scale testing results. Notably, nonlinear dynamic analyses demonstrated substantial discrepancies compared to traditional code-based linear analyses, especially in predicting damage distribution and interstory drift ratios (IDR). The nonlinear analysis indicated a concentration of damage in lower stories, with maximum IDR values of 0.282% in the first story for high-intensity scenarios, contrasting with code-based predictions of 0.178% in middle stories.

Discussion. Despite the strengths of the LIRA-SAPR software, certain limitations were identified, such as the inability to modify the standard hysteresis model, which reduces the accuracy of simulating strength and stiffness degradation. The findings suggest a need for revising existing building codes to incorporate specific acceptance criteria and updated analysis procedures tailored to the unique behaviors of LPBs.

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