Work

Damage identification and localization of pultruded FRP composites based on convolutional recurrent neural network and metaheuristic intelligent algorithms

Year: 2025

Type: article

Source: Polymer Composites

DOI: 10.1002/pc.29845

Authors: Xinquan Chang, Xin Wang, Zhili He, Lining Ding, Kang Yuan, Mohammad Noori, Jialin Liu, Mohamedel Mujtaba, Zhishen Wu

Institutions: Southeast University, Hong Kong University of Science and Technology, Nanjing Forestry University, Shanghai Municipal Engineering Design Institute (Group) Co., Ltd (China), University of Leeds, California Polytechnic State University, Henan University of Technology

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Taishan Industry Leading Talents, Fundamental Research Funds for the Central Universities

Awards: G1912623780, G2919078071, G7944337420

OpenAlex ID: W4409292897

FWCI: 4.498

Cites: 49

Cited by: 12

Related to: 10