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Durability prediction of recycled ag...
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Gonzalez, Lillian.
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Durability prediction of recycled aggregate concrete under accelerated aging and environmental exposure.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Durability prediction of recycled aggregate concrete under accelerated aging and environmental exposure./
作者:
Gonzalez, Lillian.
面頁冊數:
165 p.
附註:
Source: Masters Abstracts International, Volume: 49-04, page: 2585.
Contained By:
Masters Abstracts International49-04.
標題:
Geotechnology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1490262
ISBN:
9781124547718
Durability prediction of recycled aggregate concrete under accelerated aging and environmental exposure.
Gonzalez, Lillian.
Durability prediction of recycled aggregate concrete under accelerated aging and environmental exposure.
- 165 p.
Source: Masters Abstracts International, Volume: 49-04, page: 2585.
Thesis (M.S.)--Florida Atlantic University, 2010.
This study is to compares the performance of recycled aggregate concrete and the impact of up to 50% cement replacement with fly ash on durability. Water content, sieve analysis, standard and modified compaction tests were performed to assess the physical properties of the recycled aggregate concrete. Accelerated aging tests were performed to predict the long term durability of the recycled aggregate concrete. Following Arrhenius modeling and TTS and SIM accelerated aging protocols, a time versus stiffness master curve was created. This allowed the prediction of equivalent age using experimental data and theoretical analysis. To account for environmental exposure the specimens underwent 24 and 48 hours of wet-dry cycling and subjected. Overall there was an increase in stiffness and strength from the specimens containing fly ash. All tests performed predicted equivalent age beyond the testing period of 144hrs and up to 7 years. Specimens containing fly maintained a constant and higher density to environmental exposure.
ISBN: 9781124547718Subjects--Topical Terms:
1018558
Geotechnology.
Durability prediction of recycled aggregate concrete under accelerated aging and environmental exposure.
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