Integrated structural health monitoring (SHM) uses the mechanism analysis, monitoring
technology and data analytics to diagnose the classification, location and significance of …

Monitoring-enhanced resilience in transport management is emerging together with the new
technologies and digital data, however have not been fully explored yet. Digital technologies …

Modern digital life has produced big data in modern businesses and organizations. To
derive information for decision-making from these enormous data sets, a lot of work is …

Purpose Big data has posed problems for businesses, the Information Technology (IT)
sector and the science community. The problems posed by big data can be effectively …

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 …

During the span of a structure's service life, conditions such as wear, overload,
environmental degradation, and natural disasters may accelerate the degradation of the …

This study investigates the use of big data analytics in uncertainty quantification and applies
the proposed framework to structural diagnosis and prognosis. With smart sensor …

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 …

As one of the components of the transportation system, the bridge is safe to operate due to
vehicle driving, human factors, or natural factors such as wind and earthquake and the …