256 0

Prediction of Temperature Distribution in High-Strength Concrete Using Hydration Model

Title
Prediction of Temperature Distribution in High-Strength Concrete Using Hydration Model
Author
이한승
Keywords
high-strength concrete; hydration model; neural network
Issue Date
2008-03
Publisher
AMER CONCRETE INST
Citation
ACI MATERIALS JOURNAL, v. 105, No. 2, Page. 180-186
Abstract
This paper presents the development of a computational program to predict the temperature history in high-strength concrete members. The numerical simulation procedure starts with a hydration model that describes the evolution of cement paste microstructure,as a function of the changing composition of the hydration products. The coefficients for the hydration model were determined with an artificial neural network technique. Temperature distribution, and history in concrete members considering thermal conductivity and radiant heat were calculated based on a three-dimensional mesh. Predicted temperature history curves were compared with experimental data and a good correlation was found.
URI
https://search.proquest.com/docview/197937710?pq-origsite=gscholarhttps://repository.hanyang.ac.kr/handle/20.500.11754/104414
ISSN
0889-325X
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ARCHITECTURE(건축학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE