Feature-constrained automatic geometric deformation analysis method of bridge models toward digital twin
Author:
Affiliation:
1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2312219
Reference40 articles.
1. Comparing Two Methods of Surface Change Detection on an Evolving Thermokarst Using High-Temporal-Frequency Terrestrial Laser Scanning, Selawik River, Alaska
2. An Investigation on the Performance of Soft Computing Techniques for Point Displacement Modeling for Suspension Bridge Using GNSS Technique
3. Bridge inspection component registration for damage evolution
4. Digital Twin Technology Challenges and Applications: A Comprehensive Review
5. A Terrestrial LiDAR-Based Detection of Shape Deformation for Maintenance of Bridge Structures
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1. A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles;ISPRS International Journal of Geo-Information;2024-02-29
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