Open AccessNumerical Simulation Study on Bolted Joints of Steel-wood Structures
Author(s) -
Yu Zheng,
Chunmei Xu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/772/1/012111
Subject(s) - structural engineering , finite element method , bolted joint , reliability (semiconductor) , bearing capacity , margin (machine learning) , bearing (navigation) , engineering , materials science , computer science , power (physics) , physics , quantum mechanics , machine learning , artificial intelligence
As one of the most widely used rigid connections, bolted joints have the advantages of convenient loading and unloading, increased prestressing to prevent loosening, and no change in material composition at the joints. In this paper, six sets of test pieces are designed, and the monotonic loading is performed. The bearing capacity of the joints under the two parameters of bolt margin and wood characteristics is analyzed, and compared with the theoretical value, the reliability of the finite element simulation results is increased.