Work

Frequency-Based Damage Detection with ANN and Seismic Behaviour Assessment of a Historical Masonry Tower

Year: 2025

Type: article

Source: Iranian Journal of Science and Technology Transactions of Civil Engineering

DOI: 10.1007/s40996-025-01816-3

Authors: Betül Demirtaş, Temel Türker, Yusuf Yanik, Tayfun Dede

Institutions: Bayburt University, Karadeniz Technical University

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: green

OpenAlex ID: W4409201719

FWCI: 2.8

Cites: 68

Cited by: 9

Related to: 10