Abstract Wireless Smart Sensor Networks (WSSN) have seen significant advancements in
recent years. They act as a core part of structural health monitoring (SHM) systems by …

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 …

This work is dedicated to constructing a multi-scale structural health monitoring system to
monitor and evaluate the serviceability of bridges based on the Hadoop Ecosystem (MS …

Cloud computing is a computing paradigm wherein computing resources, such as servers,
storage and applications, can be provisioned and accessed in real time via advanced …

As instrumented infrastructure becomes increasingly prevalent, managing the massive scale
of real-time data collected is fundamental to providing relevant and timely information to …

In SHM, fixed sensor networks with long-term monitoring capabilities, dense sensor arrays,
or high sampling rates are perceived to produce BIGDATA. As the temporal and spatial …

Structural Health Monitoring (SHM) is becoming an important research topic to improve
human safety and to reduce maintenance costs. However, most of the existing SHM systems …

Continuous vibration-based structural monitoring is increasingly used to assess the state of
health of existing structures and infrastructures in environmental conditions through non …

The concept of data fusion originated in the 1970s and was first applied in the military. With
the growing complexity of bridge structures, single-source data could not satisfy the demand …

Failure of civil infrastructure, such as, bridges and pipelines, can cause large public safety
and economic consequences. Structural health monitoring (SHM) plays a significant role in …