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Development of design method for precast concrete frame with dry-connected rotational friction dissipative beam-to-column joints
- Source :
- Journal of Building Engineering. 45:103563
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- To realize a beam-to-column joint for precast concrete (PC) frames with simple details, adjustable performance, and desirable seismic performance , an innovative dry-connected rotational friction dissipative beam-to-column joint (DRFDBJ) is proposed in this study. To validate the advantages of introducing DRFDBJs into PC frame structures, PC frame with DRFDBJs (NPCF) is proposed and considered as the research object. This investigation highlighted on (1) validating the advantages of the DRFDBJ and NPCF, (2) revealing the critical design parameters of the NPCF, and (3) developing a high-efficiency design method for the NPCF. Based on parametric analyses of 300 NPCF study cases and three monolithic reinforced concrete frame study cases, the seismic performance of NPCF is investigated with emphasizing on the control effect. Based on the results, the critical design parameters of the NPCF are identified to be sliding moment ratio ( ρ ) and sliding moment distribution pattern (SMDP). The rational type of SMDP for the seismic design of NPCF is recommended to be the uniform cumulative SMDP. The quantitative relationship between number of stories and rational value of ρ is also recommended. Subsequently, a design method with high efficiency and compatibility is proposed for the NPCF, and two NPCFs are successfully designed using this method, thus further validating the advantages of the DRFDBJ and the reliability of the proposed design method.
- Subjects :
- business.industry
Computer science
Frame (networking)
Building and Construction
Structural engineering
Seismic analysis
Moment (mathematics)
Mechanics of Materials
Precast concrete
Architecture
Dissipative system
Safety, Risk, Reliability and Quality
business
Moment distribution method
Beam (structure)
Civil and Structural Engineering
Parametric statistics
Subjects
Details
- ISSN :
- 23527102
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Journal of Building Engineering
- Accession number :
- edsair.doi...........a4a22ffbafa33482b6c612c2de777318
- Full Text :
- https://doi.org/10.1016/j.jobe.2021.103563