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.

中文翻译：

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使用全尺寸测试的木结构建筑模型更新

摘要 准确可靠的数值模型对于木结构建筑（TFC）的结构设计和性能评估至关重要。本研究在循环载荷下执行全尺寸 TFC 以研究横向力抵抗性能。实验结果表明，相邻的护板有相对位移，以及立柱的隆起。木剪力墙本身没有损坏，钉子表现出四种典型的破坏模式。创建了一个非线性由弹簧单元控制的数值模型。这个简化的模型可以捕捉刚度和强度退化，以及挤压效应。为了更新简化模型，提出了容积卡尔曼滤波器 (CKF)，它能够表征模型的不确定性，并考虑建模误差。更新后的结果表明测试响应被所有培养点生成的预测曲线包围。更新后的模型还从力学性能方面进行了评估，其中从更新后的模型中获得的极限载荷、屈服载荷和最大载荷与试验结果一致。标定后的模型与试验结果吻合较好，为不同载荷条件下的结构性能提供了高效、准确的分析。所提出的 CKF 方法提供了一种有用的模型更新技术，以保证数值模型的可靠性。屈服荷载和更新模型得到的最大荷载与试验结果一致。标定后的模型与试验结果吻合较好，为不同载荷条件下的结构性能提供了高效、准确的分析。所提出的 CKF 方法提供了一种有用的模型更新技术，以保证数值模型的可靠性。屈服荷载和更新模型得到的最大荷载与试验结果一致。标定后的模型与试验结果吻合较好，为不同载荷条件下的结构性能提供了高效、准确的分析。所提出的 CKF 方法提供了一种有用的模型更新技术，以保证数值模型的可靠性。