Work

Development of an end-to-end deep learning model for acceleration data restoration of a pedestrian bridge

Year: 2025

Type: article

Source: Structures

DOI: 10.1016/j.istruc.2025.108848

Authors: Futao Ni, Wenju Zhao, Yongding Tian, Xian Wang

Institutions: Taiyuan University of Technology, Henan University of Technology, Southwest Jiaotong University

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funders: National Natural Science Foundation of China, Key Laboratory of Anhui Province for Testing Technology and Energy-saving Devices

Awards: G1756365111, G7205427185

OpenAlex ID: W4409269124

FWCI: 0.747

Cites: 43

Cited by: 2

Related to: 10