Cao, Y.; Meng, Z.; Gao, F.; Zhang, L.; Ren, X.; Jiang, H.; Hu, R. Wooden Beams Modal Damage Identification Parameters Based on Strain. Buildings2023, 13, 3035.
Cao, Y.; Meng, Z.; Gao, F.; Zhang, L.; Ren, X.; Jiang, H.; Hu, R. Wooden Beams Modal Damage Identification Parameters Based on Strain. Buildings 2023, 13, 3035.
Cao, Y.; Meng, Z.; Gao, F.; Zhang, L.; Ren, X.; Jiang, H.; Hu, R. Wooden Beams Modal Damage Identification Parameters Based on Strain. Buildings2023, 13, 3035.
Cao, Y.; Meng, Z.; Gao, F.; Zhang, L.; Ren, X.; Jiang, H.; Hu, R. Wooden Beams Modal Damage Identification Parameters Based on Strain. Buildings 2023, 13, 3035.
Abstract
The investigation on the issue of damage diagnosis based on strain modal parameters is conducted in this paper using simply supported wooden Beams as the study's object. First, ABAQUS is utilized to create finite element models of intact wooden beams as well as wooden beams with varying degrees of damage and perform modal analyses on them. Next, damage identification studies are conducted on the wooden beam structure using various strain modal parameters (strain mode strain modal difference, strain modal curvature difference), the timber beam damage identification test then yields the modal parameters of timber beams under various damage situations, and the test findings are contrasted with those of the numerical simulation. The outcomes demonstrate that the damage identification of the test data using the three types of damage identification indexes is consistent with the results of the numerical simulation; the three types of damage identification indexes can locate the damage to timber beams, but the identification effect of the indexes is different, the best-recognized metric is the strain mode curvature difference; the next best is the strain mode difference, and the worst is the strain modes. The study's findings can serve as a guide for future damage detection on wood beams.
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
