Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Temperature Prediction Modeling and Thermal Integrity Profiling of Drilled Shafts
Thermal integrity profiling (TIP) is an increasingly popular form of post-construction quality assurance for drilled shafts, wherein anomalies in a shaft are indicated by variations in its thermal profile. As with any test method, the quality of the results depends largely on the level of analysis and the way in which test data are interpreted. With thermal integrity profiling, data interpretation techniques can fall into two schools of thought: (1) use of construction logs and concrete yield plots as a means to calibrate thermal data to shaft dimensions or (2) use of temperature prediction software to compare measured to model-predicted thermal profiles. In theory, a signal matching approach using modeled shafts could reveal the shaft geometry that would produce the measured thermal profiles. However, the accuracy of models is largely dependent on input parameters such as shaft dimensions, boundary conditions, and concrete hydration behavior. Although the margins of error associated with these parameters can easily accumulate, useful trends and relationships about the temperature distributions within drilled shafts and surrounding environments can be identified. This paper examines computer-generated trends and demonstrates ways in which they can be merged with existing TIP analysis techniques to produce a heightened level of data interpretation.
Temperature Prediction Modeling and Thermal Integrity Profiling of Drilled Shafts
Thermal integrity profiling (TIP) is an increasingly popular form of post-construction quality assurance for drilled shafts, wherein anomalies in a shaft are indicated by variations in its thermal profile. As with any test method, the quality of the results depends largely on the level of analysis and the way in which test data are interpreted. With thermal integrity profiling, data interpretation techniques can fall into two schools of thought: (1) use of construction logs and concrete yield plots as a means to calibrate thermal data to shaft dimensions or (2) use of temperature prediction software to compare measured to model-predicted thermal profiles. In theory, a signal matching approach using modeled shafts could reveal the shaft geometry that would produce the measured thermal profiles. However, the accuracy of models is largely dependent on input parameters such as shaft dimensions, boundary conditions, and concrete hydration behavior. Although the margins of error associated with these parameters can easily accumulate, useful trends and relationships about the temperature distributions within drilled shafts and surrounding environments can be identified. This paper examines computer-generated trends and demonstrates ways in which they can be merged with existing TIP analysis techniques to produce a heightened level of data interpretation.
Temperature Prediction Modeling and Thermal Integrity Profiling of Drilled Shafts
Johnson, Kevin R. (Autor:in)
Geo-Congress 2014 ; 2014 ; Atlanta, Georgia
Geo-Congress 2014 Technical Papers ; 1781-1794
24.02.2014
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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