Corrigendum to “Integrating physics-informed machine learning with resonance effect for structural dynamic performance modeling” [J. Build. Eng. 84 (2024) 108627–16] (Journal of Building Engineering (2024) 84, (S2352710224001955), (10.1016/j.jobe.2024.108627))

The authors regret to identify the typo errors. The title of Section 5.4: the “Fragility” should be replaced by “Performance”. Line 3 of first paragraph of Section 5.4: the “fragility” should be replaced by “performance”. Line 7 of second paragraph of Section 6: the first “fragility” should be replaced by “performance”. Line 7 of second paragraph of Section 6: the second “fragility” should be replaced by “wind”. Line 21 of the Abstract: the first “fragility” should be replaced by “performance”. Line 21 of the Abstract: the second “fragility” should be replaced by “wind”.[Formula presented] Fig. 19 needs a slight revision. The corrected version of Fig. 19 and relevant description (e.g., the second paragraph of Section 5.4) are updated. The second paragraph of Section 5.4: Using the data from Fig. 18 as input to the well-trained model, the predicted curve in different years under the influence of climate change is obtained (shown in Fig. 19) [5, 49]. It can be observed the changes in wind parameters. However, with the changes in wind parameters due to climate change, it still remains resilient and safe under the same wind speed range between 2025 and 2045. We would like to apologise for any inconvenience caused.