Model updating for timber-framed construction using the full-scale test. (15th June 2020)

• Record Type: Journal Article
• Authors: Cao, Jixing; Xiong, Haibei; Wang, Jianze; Kang, Jiahua
• Is Part Of: Engineering structures. Volume 213(2020)
• Publication Date: 2020-06-15
• Subjects: Timber-framed construction -- Cubature Kalman filter -- Model updating -- Mechanical property assessment; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2020.110560
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: Failure modes of wood-framed construction under cyclic loading. The CKF is employed to update the finite element. The lateral performance of wood-framed construction. Abstract: An accurate and reliable numerical model is vital for the structural design and performance assessment of timber-framed construction (TFC). This study executed a full-scale TFC under cyclic loading to investigate the lateral-force resisting performance. The experimental results evidenced that the adjacent sheathing panels had a relative displacement, as well as the uplift of studs. The timber shear wall itself had no damage, and nails exhibited four typical failure modes. A numerical model whose nonlinearity is governed by the spring element is created. This simplified model can capture the stiffness and strength degradation, as well as the pinching effect. To update the simplified model, the cubature Kalman filter (CKF) is proposed that is capable of characterizing the model uncertainties accounting for the modeling error. The updated result indicates the test response is enclosed by the predicted curves generated by all the cubature points. The updated model is also evaluated in term of the mechanical properties, where the ultimate load, yield load and the maximum load obtained from the updated model are consistent with the test results. The calibrated model has a good agreement with the test result, providing an efficient and accurate analysis for the structural performance under various loading conditions. The proposed CKF method serves a useful model-updating technique to warrant the reliability of numerical models.