Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

By Limin Sun, Zhiqiang Shang, Ye Xia, Sutanu Bhowmick, Satish Nagarajaiah. Journal of Structural Engineering, 2020

587 citations recorded by the source corpus.

AbstractStructural health monitoring (SHM) techniques have been widely used in long-span bridges. However, due to limitations of computational ability and data analysis methods, the knowledge in ma...

Subfields: Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/3dc2290f87f5205db2f0e0caef9850c7d235c6ba

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In Civil and Structural Engineering

1. Arman Malekloo
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3. Ekin Ozer
4. Mohammad AlHamaydeh

Citations in the corpus

• Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights (2021, background): “Data cleaning, in simple terms, refers to implying hard limits in which the data is not usable and must be discarded (noise/ outlier treatment) or missing data to be imputed.(37,79) In the context of SHM and big data, five distinct quality standard indicators,(80) namely: (1) availability, (2) usabi”