Analysis of Force Deformation Characteristics of Aged Wood Column Components with Consideration of Targeted Hybrid Fine Modeling

ABSTRACT

This study establishes a refined model of wooden column members, with the aim of studying more accurately the force deformation characteristics of column members under the influence of aging. The service life of each layer of columns was predicted by calculating the load-bearing capacity of each layer under the influence of aging; a hybrid 3D model with integrated triangular network model and parametric model was established; the location of the column point where the maximum displacement occurred at each level of the second to fifth layer columns was obtained through the real-time monitoring system; the deformations of columns M2W23-S, M3W23-S, M4W23-S, and M5W23-S were analyzed using numerical simulations, and the accuracy of the hybrid 3D model was verified. The results of the study show that all the columns in the second to fifth layers no longer have a compressive load-bearing capacity between 3300 and 3500 years; a hybrid 3D model that integrates the triangular mesh model and the parametric model to reflect more realistically the existing morphology of the wooden column elements; the locations of the column points where the maximum displacement occurred in each of the second to fifth layer columns are M2W23-S, M3W23-S, M4W19-S and M5W16-S, respectively, of which the deformation of column M2W23-S is more serious, and the column needs to be reinforced and protected as soon as possible.

KEYWORDS:

• Hybrid refined model
• aging
• deformation analysis
• load-bearing capacity
• wooden components

Acknowledgments

This research was supported by the National Natural Science Foundation of China [Grant No. 41971350, 42171416]; National Key R&D Program of China [Grant No. 2022YFF0904400, 2021YFF0602005-03].

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Author statement

The authors declare that this manuscript is original, has not been published before and is not currently being considered for publication elsewhere.

Data availability statement

Data will be made available on request.

Additional information

Funding

The work was supported by the National Key R&D Program of China [2022YFF0904400, 2021YFF0602005-03]; National Natural Science Foundation of China [41971350, 42171416].