Signal propagation in complex networks

P Ji, J Ye, Y Mu, W Lin, Y Tian, C Hens, M Perc, Y Tang… - Physics reports, 2023 - Elsevier
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection

L Sun, Z Shang, Y Xia, S Bhowmick… - Journal of Structural …, 2020 - ascelibrary.org
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices

ATG Tapeh, MZ Naser - Archives of Computational Methods in …, 2023 - Springer
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

[HTML][HTML] Digital Twins for the built environment: learning from conceptual and process models in manufacturing

JMD Delgado, L Oyedele - Advanced Engineering Informatics, 2021 - Elsevier
The overall aim of this paper is to contribute to a better understanding of the Digital Twin
(DT) paradigm in the built environment by drawing inspiration from existing DT research in …

Three decades of statistical pattern recognition paradigm for SHM of bridges

E Figueiredo, J Brownjohn - Structural Health Monitoring, 2022 - journals.sagepub.com
Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …

Digital twin for civil engineering systems: An exploratory review for distributed sensing updating

MF Bado, D Tonelli, F Poli, D Zonta, JR Casas - Sensors, 2022 - mdpi.com
We live in an environment of ever-growing demand for transport networks, which also have
ageing infrastructure. However, it is not feasible to replace all the infrastructural assets that …

Recent advances in damage detection of wind turbine blades: A state-of-the-art review

P Kaewniam, M Cao, NF Alkayem, D Li… - … and Sustainable Energy …, 2022 - Elsevier
Wind turbine structures are key components for modern transformation into free energy and
greener environment. In recent years, a rapid growth in the development and installation of …

Guided wave based structural health monitoring: A review

M Mitra, S Gopalakrishnan - Smart Materials and Structures, 2016 - iopscience.iop.org
The paper provides a state of the art review of guided wave based structural health
monitoring (SHM). First, the fundamental concepts of guided wave propagation and its …