Sentence examples for structural condition assessment from inspiring English sources
Uncertainties in the structural model and measurement data affect structural condition assessment in practice.
Not accounting for these sources of uncertainty can lead to false-positives or false-negatives in the structural condition assessment.
However, structural condition assessment, when conducted according to state-of-the-art protocols, produces very subjective and highly variable results.
The increasing diffusion of long term dynamic monitoring systems for structural condition assessment is currently driving a strong interest towards automated procedures of output-only modal identification.
Finite element (FE) models are useful for many applications in engineering community such as structural analysis, dynamic behavior prediction, structural condition assessment, and damage detection.
To get accurate structural condition assessment and damage detection, it is important to make sure the monitoring system is robust and the sensors are functioning properly.
BIM can integrate all types of structural and condition assessment information collected in the life cycle of civil structures and also provides the visual data displaying mechanism that makes the structural health monitoring information easily understandable and actionable.
Finite element model updating is the important foundation of structural damage detection, condition assessment for engineering structure.
Vibrational measurement data are often nonstationary and modal parameter identification based on these data is of practical value for structural health monitoring and condition assessment.
A methodology is described for global and local health condition assessment of structural systems using ambient vibration response of the structure collected by sensors.
Structural Health Monitoring (SHM) of historical building is an emerging field of research aimed at the development of strategies for on-line assessment of structural condition and identification of damage in the earliest stage.
