Bilinear connection stiffness identification of heritage timber buildings with limited strain measurements

Publication Type:
Journal Article
Citation:
Engineering Structures, 2017, 151 pp. 665 - 681
Issue Date:
2017-11-15
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© 2017 Elsevier Ltd ‘Que-Ti’ is an important component connecting the beam and column in typical Tibetan historic timber buildings. It transfers shear, compression and bending moment by slippage and deformation of components as well as a limited joint rotation. A rigorous analytical model of ‘Que-Ti’ is needed for predicting the behaviour of a timber structure under loading. However, few researches have been conducted in this area, particularly on the effect of key parameters on the performance of the joint under loading. In this paper, a new method has been proposed to identify both the thermal load on the structure and the bilinear connection stiffness of the semi-rigid joint from limited measured strain responses by integrating the temperature-based response sensitivity analysis with the dual Kalman filter. A novel bilinear rotational spring model has been developed for the joint to take into account the friction slip at the interface, the shear in the tenon, and the gap between the tenon and the mortise of the ‘Que-Ti’ in typical heritage Tibetan buildings. The semi-rigid connection is modeled as two bilinear rotational springs and one compressive spring. The temperature is treated as the input of the structure and the thermal loading on the structure can be determined based on the proposed method. The numerical results show that the method is effective and reliable to identify the thermal loading, unknown boundary conditions and the connection stiffness of the ‘Que-Ti’ accurately even with 10% noise in measurements. A long-term monitoring system has also been installed in a typical heritage Tibetan building and the monitoring data have been used to further verify the method. The experimental results show that the identified stiffness by the proposed method with bilinear connection stiffness model can get better results than that with linear connection stiffness model.
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