Detail publikace

Monitoring-based quantification of input parameters for chloride ion ingress models

Originální název

Monitoring-based quantification of input parameters for chloride ion ingress models

Anglický název

Monitoring-based quantification of input parameters for chloride ion ingress models

Jazyk

en

Originální abstrakt

Within structure management, the non-formal assessment where the structural condition is evaluated on the base of visual inspections takes place at most. The objective of the structural condition assessment is to determine its current state and to assume the future performance of a structure with a maximum of accuracy and a minimum of effort. Therefore, advanced methodologies and deterioration predictive models for the assessment of structure/structural element over time are needed. Data collected during visual inspection should mainly provide the information about the most serious problems and suggest most suitable scheme of extension the inspection by monitoring, additional on-site measurements and/or laboratory tests. These should provide more realistic information about the input parameter values, when using modeling of degradation processes for prediction of future condition of the structure. The aim of this contribution is to describe the process of possible calibration of input parameters for prediction of deterioration due to chloride ion ingress into concrete with the emphasis on model based assessment.

Anglický abstrakt

Within structure management, the non-formal assessment where the structural condition is evaluated on the base of visual inspections takes place at most. The objective of the structural condition assessment is to determine its current state and to assume the future performance of a structure with a maximum of accuracy and a minimum of effort. Therefore, advanced methodologies and deterioration predictive models for the assessment of structure/structural element over time are needed. Data collected during visual inspection should mainly provide the information about the most serious problems and suggest most suitable scheme of extension the inspection by monitoring, additional on-site measurements and/or laboratory tests. These should provide more realistic information about the input parameter values, when using modeling of degradation processes for prediction of future condition of the structure. The aim of this contribution is to describe the process of possible calibration of input parameters for prediction of deterioration due to chloride ion ingress into concrete with the emphasis on model based assessment.

BibTex


@inproceedings{BUT149536,
  author="Martina {Šomodíková} and Břetislav {Teplý} and Alfred {Strauss} and Ivan {Zambon}",
  title="Monitoring-based quantification of input parameters for chloride ion ingress models",
  annote="Within structure management, the non-formal assessment where the structural condition is evaluated on the base of visual inspections takes place at most. The objective of the structural condition assessment is to determine its current state and to assume the future performance of a structure with a maximum of accuracy and a minimum of effort. Therefore, advanced methodologies and deterioration predictive models for the assessment of structure/structural element over time are needed. Data collected during visual inspection should mainly provide the information about the most serious problems and suggest most suitable scheme of extension the inspection by monitoring, additional on-site measurements and/or laboratory tests. These should provide more realistic information about the input parameter values, when using modeling of degradation processes for prediction of future condition of the structure. The aim of this contribution is to describe the process of possible calibration of input parameters for prediction of deterioration due to chloride ion ingress into concrete with the emphasis on model based assessment.",
  booktitle="Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges – Proceedings and Monographs in Engineering, Water and Earth Sciences (IABMAS 2018)",
  chapter="149536",
  howpublished="print",
  year="2018",
  month="july",
  pages="2424--2431",
  type="conference paper"
}