Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này: http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/18621
Nhan đề: Improved Fastener-Based Modelling Method for Reinforced Cold-Formed Steel Shear Walls
Tác giả: Wang, Xingxing
Li, Youcheng
Wang, Wei
Gao, Shangxin
Từ khoá: Research
Behavior
Simulation
Software
Cold
Cold-formed steel
Shear properties
Performance prediction
Failure mechanisms
Concrete
Elastic beams
Test procedures
Numerical models
Equivalence
Civil engineering
Sheathing
Researchers
Failure analysis
Seismic engineering;
Shear walls
Shear strength
Computer simulation
Cold working
Steel structures
Năm xuất bản: 2019
Nhà xuất bản: Hindawi Limited
Tóm tắt: The fastener-based computational model is improved and extended to predict the shear performance of reinforced cold-formed steel (RCFS) shear walls. The failure mechanism of sheathing-to-stud connections with double-layer wallboards is first analysed, and a method for determining those connections’ shear properties is proposed. Numerical models of RCFS shear walls are then established and analysed. Based on simulated results that have been fully validated by previous test results, an equivalent method for perforated RCFS shear walls is proposed. Finally, the application of the improved fastener-based modelling method to mid-rise RCFS shear walls is verified. The following results were obtained. (1) The simulated load-displacement curves can fully reflect shear wall hysteretic characteristics; moreover, the relative errors between the simulated and test results are within 14.2%. (2) The equivalent method that simplifies the wall segment over an opening as a linear elastic beam is applicable in the case of 1.5 < b/d (i.e., the ratio of the opening width to the depth of the wall segment over the opening) ≤5.0. (3) The improved fastener-based modelling method can be used to effectively predict the lateral performance of mid-rise RCFS shear walls.
Mô tả: "Hindawi; Advances in Civil Engineering; Volume 2019, Article ID 3260946, 14 pages; https://doi.org/10.1155/2019/3260946"
Định danh: http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/18621
ISSN: 1687-8086
1687-8094 (eISSN)
Bộ sưu tập: Bài báo_lưu trữ

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