Applicability of Site-Level Operational and Environmental Information for Long-Term Heritage Timber Monitoring: Vibration Response and Tilt-Monitoring Baselines at Xuankong Temple
Operational and environmental variability complicate long-term monitoring of publicly accessible heritage timber buildings, while local visitor activity and member-level hygrothermal conditions are difficult to observe continuously. Using field data from Xuankong Temple, this study develops a task-specific framework to evaluate three site-level information sources: opening and closure records for organizing vibration references, entrance counts for estimating open-period vibration responses, and ambient environmental measurements for assessing cross-period tilt baselines. Robustness tests, incremental generalized additive models with date substitution, and time-ordered frozen-model evaluation were used to assess the three tasks. Open-to-closure ratios of three-axis resultant root-mean-square (RMS) acceleration were 13.331, 17.872, and 1.195 at the North Building, Boardwalk, and South Building, respectively; this spatial contrast persisted across robustness tests. Entrance counts improved follow-up log-RMS estimation at all three nodes (ΔR2 = 0.132–0.364), with the clearest original-date advantage at the North Building. Temperature history improved development-period tilt estimation; frozen environmental–tilt models showed no consistent advantage over a fixed mean-tilt reference based on the final seven development days. This framework links site-level information to monitoring decisions, providing an evidence-based approach to organizing vibration references, selecting auxiliary variables, and identifying when finer local observations are needed.
Authors
- Miaole Hou (ORCID: https://orcid.org/0000-0002-0942-629X)
- Jingshu Wu (ORCID: https://orcid.org/0000-0002-1570-3775)
- Huiqiang Zhao
- Ruiling Zhang
- Xinran Lu
- Ze Xiao (ORCID: https://orcid.org/0009-0005-2940-6711)
- Guangyuan Wang
Institutions
- Huaqiao University (CN)
- Chang'an University (CN)
- China Special Equipment Inspection and Research Institute (CN)
- Langfang Normal University (CN)
- Beijing University of Civil Engineering and Architecture (CN)
Publication Details
- Journal
- Buildings
- Published
- 2026-11-03
- DOI
- https://doi.org/10.3390/buildings16214403
- Primary Topic
- Structural Health Monitoring Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00