Work

Presenting new approaches based on Zhao–Atlas–Marks distribution and machine learning for detecting structural damage in steel beams

Year: 2025

Type: article

Source: International Journal of Structural Integrity

DOI: 10.1108/ijsi-04-2025-0088

Authors: Hamid Reza Ahmadi, Hesam Hooshyar, Mahmoud Bayat

Institutions: University of Maragheh, The University of Texas at Arlington

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

OpenAlex ID: W7116773379

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Cites: 39

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