Machine learning techniques for structural health monitoring of concrete structures: A systematic review

P Padmapoorani, S Senthilkumar… - Iranian Journal of Science …, 2023 - Springer
Damage detection plays a major role in civil infrastructures. Construction structures like
bridges dams are subject to wide spectrum of stress. Maintaining the structural health of …

[PDF][PDF] Machine learning techniques for structural health monitoring

K Smarsly, K Dragos… - Proceedings of the 8th …, 2016 - researchgate.net
Data-driven approaches are particularly useful for computer-supported assessment of civil
engineering structures (i) if large quantities of sensor data are available,(ii) if the physical …

[PDF][PDF] A NoSQL data management infrastructure for bridge monitoring

S Jeong, Y Zhang, S O'Connor, JP Lynch… - Smart structures and …, 2016 - minoe.stanford.edu
Advances in sensor technologies have led to the instrumentation of sensor networks for
bridge monitoring and management. For a dense sensor network, enormous amount of …

A bridge information modeling framework for model interoperability

Y Qin, R Xiao, Y Wang, KH Law - ASCE International Conference on …, 2019 - ascelibrary.org
Bridge information modeling (BrIM) techniques have been developed to integrate
information from architecture, engineering, construction, and operation. The models …

Security issues and privacy challenges of NoSQL databases

MS Gharajeh - NoSQL, 2017 - taylorfrancis.com
This chapter discusses on the security issues of not only structured query language (NoSQL)
databases in aspects of security in the popular NoSQL databases, model-based security …

Structural-Infrastructure Health Monitoring

S Jeong, R Hou, JP Lynch, KH Law - Cyber-Physical Systems in the Built …, 2020 - Springer
This chapter provides an overview of a Cyber Physical System (CPS) for civil infrastructural
monitoring. Specifically, a prototype design and implementation of a cyber infrastructure …