Algorithm for Identifying Inflection Points in Wind Pressure Data Baseline of Air-Supported Membrane Structures
- DOI
- 10.2991/978-94-6463-449-5_36How to use a DOI?
- Keywords
- wind pressure; data processing; baseline shift; air-supported membrane structure
- Abstract
Pneumatically supported membrane structures belong to wind-sensitive structures, and the on-site measured wind pressure data is a very valuable and intuitive data source for pneumatic membrane structures. However, the acquisition of wind pressure data is difficult, costly, and there is very little research on the processing of wind pressure data for pneumatic membrane structures with long duration. In this paper, all wind pressure measurement points on-site of the pneumatic membrane structure were taken, and based on the characteristics of the measured wind pressure data, the data was preprocessed by dividing the data into abrupt change points to remove baseline shifts caused by abrupt changes. The results show that the algorithm proposed in this paper is efficient, and provides flexibility in dividing abrupt change points, laying a foundation for further extracting useful information from the data. This algorithm can also be applied to data processing with similar characteristics in other applications.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiangyu Gong AU - Yanli He AU - Xiongyan Li PY - 2024 DA - 2024/06/30 TI - Algorithm for Identifying Inflection Points in Wind Pressure Data Baseline of Air-Supported Membrane Structures BT - Proceedings of the 2024 8th International Conference on Civil Architecture and Structural Engineering (ICCASE 2024) PB - Atlantis Press SP - 365 EP - 376 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-449-5_36 DO - 10.2991/978-94-6463-449-5_36 ID - Gong2024 ER -