Abstract：Structural health monitoring methods have been used in the field of Chinese ancient wooden structure (CAWS) to achieve preventive protection. However, the above application is still in its early stage so that a platform of verifying, comparing and evaluating different health monitoring methods is in urgent need. In this work, a health monitoring Benchmark platform of CAWS is established by incorporating four modules, namely laboratory physical model, finite element model, platform test and supporting website. Firstly, the platform integrates the advantages of the other health monitoring benchmark platforms and the characteristics of CAWS. By simplifying the prototype of the existing CAWS, the physical model for the laboratory test is designed with the information such as the component size, material properties, monitoring equipment and damage design provided. Secondly, to supplement the results of laboratory physical model, the finite element models which can extract the static and dynamic signals respectively are generated by the finite element analysis software ABAQUS. Furthermore, the dynamic monitoring tests are carried out. By comparing the test results with the finite element results, it is revealed that the platform can support the analysis, comparison and evaluation of different health monitoring methods, and narrow the gap between theoretical research and practical application. In addition, it is validated that the modal analysis commonly used in other fields is also applicable to CAWS. Finally, a website containing 8 modules is built to disclose the above information, so as to facilitate the consult of subsequent researchers.
杨娜 李天昊 刘威 白凡. 中国古建筑木结构健康监测Benchmark平台[J]. 土木工程学报, 2022, 55(6): 1-14.
Yang Na Li Tianhao Liu Wei Bai Fan. Health monitoring Benchmark platform of Chinese ancient wooden structure. 土木工程学报, 2022, 55(6): 1-14.
