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Sensor network- and frequency-based damage identification approach in multi-damage structures

delete2025-05-11
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Nahid Khodabakhshi *
A
Alireza Khaloo *
A
Amin Khajehdezfuly
DOI:10.1080/15732479.2025.2500078delete
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摘要

摘要

En 中文
本文提出了一种新型的基于传感器网络和频率的(SNFB)结构健康监测(SHM)方法,旨在识别多损伤结构中的损伤位置。SNFB方法是一种基于模型的SHM技术,利用频率响应函数(FRF)。与现有的FRF基方法不同,后者依赖于传感器数量和布置、损伤数量、强度、位置及频率范围等因素,所提出的SNFB方法克服了这些局限性。它结合假设检验理论和传感器网络数据融合,以建立准确的多损伤检测阈值。在配备传感器网络的梁上进行了实验测试和数值模型,考虑了多种损伤场景。通过将SNFB性能与传统的FRF基方法进行比较,研究突显了其优势。结果表明,SNFB方法能够准确检测多损伤梁中的损伤位置。此外,研究表明SNFB方法能够识别导致结构刚度至少降低5%的损伤。这一基于FRF技术的进步为其实际应用于具有不同强度损伤的实长结构奠定了基础。
Keyword:
Damage identification
data fusion
frequency response function
sensor network
structural health monitoring
vibration-based methods

期刊

Structure and Infrastructure Engineering 封面图
Structure and Infrastructure Engineering
IF:
2.6
论文数:
486
被引数:
5.3K

机构

S
shahid chamran university of ahvaz
学者数:
2.5K
论文数: 2.2K
被引数: 1
S
Sharif University of Technology
学者数:
1.1W
论文数: 1.1W
被引数: 9.5K
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