Show simple item record

AuthorSun, Qianchen
AuthorElshafie, Mohammed Z.E.B.
AuthorRui, Yi
Available date2020-04-30T12:48:26Z
Publication Date2020
Publication NameProceedings of the International Conference on Civil Infrastructure and Construction
CitationSun Q., Elshafie M. Z.E.B., Rui Y., “Concrete Hydration Model Characterization Using Evolutionary Optimization”, International Conference on Civil Infrastructure and Construction (CIC 2020), Doha, Qatar, 2-5 February 2020, DOI: https://doi.org/10.29117/cic.2020.0114
ISSN2958-3128
IdentifierP. O. Box: 2713 Doha-Qatar, Email: qupress@qu.edu.qa
URIwww.cic.qa
URIhttp://dx.doi.org/10.29117/cic.2020.0114
URIhttp://hdl.handle.net/10576/14700
AbstractPile thermal integrity assessment by means of temperature measurement has received increasing attention in recent years. The thermal integrity testing method measures temperature changes during the concrete curing process; using an appropriate concrete hydration model together with tracking temperature development during the curing process, defects within piles could be detected. However, the implementation of thermal integrity testing in practice faces, potentially, many uncertainties including undocumented concrete mixes, lack of knowledge of ground thermal properties, uncertain boundary conditions for pile, etc... These uncertainties increase the complexity of determining appropriate parameters for the hydration model, which directly affects the defect detection capacity of the method. This paper presents an inverse approach using differential evolution (DE) algorithms to determine the concrete hydration model. With this approach, the finite element (FE) analysis is integrated into the DE algorithm to generate approximate solutions that match a controlled dataset instead of approximating the concrete hydration parameters with limited prior knowledge as currently used in practice. Firstly, a field test temperature dataset with a well-defined boundary condition is selected. The temperature development corresponding to the selected dataset is then numerically simulated using an uncalibrated general hydration model. Finally, the hydration model parameters are determined using DE algorithms based on the measured and simulated temperature development as inputs. A field case study is presented in the end of this paper. The results indicate that the proposed inverse approach using DE Pile thermal integrity assessment by means of temperature measurement has received increasing attention in recent years. The thermal integrity testing method measures temperature changes during the concrete curing process; using an appropriate concrete hydration model together with tracking temperature development during the curing process, defects within piles could be detected. However, the implementation of thermal integrity testing in practice faces, potentially, many uncertainties including undocumented concrete mixes, lack of knowledge of ground thermal properties, uncertain boundary conditions for pile, etc... These uncertainties increase the complexity of determining appropriate parameters for the hydration model, which directly affects the defect detection capacity of the method. This paper presents an inverse approach using differential evolution (DE) algorithms to determine the concrete hydration model. With this approach, the finite element (FE) analysis is integrated into the DE algorithm to generate approximate solutions that match a controlled dataset instead of approximating the concrete hydration parameters with limited prior knowledge as currently used in practice. Firstly, a field test temperature dataset with a well-defined boundary condition is selected. The temperature development corresponding to the selected dataset is then numerically simulated using an uncalibrated general hydration model. Finally, the hydration model parameters are determined using DE algorithms based on the measured and simulated temperature development as inputs. A field case study is presented in the end of this paper. The results indicate that the proposed inverse approach using DE algorithms can be used effectively in thermal integrity testing.
SponsorThis work was performed in the framework of ITN-FINESSE, funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska- Curie Action grant agreement n° 722509.Curie Action grant agreement n 722509.
Languageen
PublisherQatar Univesrity Press
SubjectDifferential evolution
Thermal integrity test
Pile anomaly detection
Finite element modelling
Structural health monitoring
TitleConcrete Hydration Model Characterization Using Evolutionary Optimization
TypeConference Paper
Pagination869-876
ESSN2958-3136
dc.accessType Open Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record