Advanced Analysis, Validation, and Optimization of Virtual Cement and Concrete Testing

Ferraro, Christopher C.; Watts, Benjamin E.; Tao, Chengcheng; Masters, Forrest

i

Advanced Analysis, Validation, and Optimization of Virtual Cement and Concrete Testing

2017-12-01
By Ferraro, Christopher C. ; Watts, Benjamin E. ; Tao, Chengcheng

File Language:

English

[PDF - 16.12 MB]

Details

Creators:

Ferraro, Christopher C. ; Watts, Benjamin E. ; Tao, Chengcheng ; Masters, Forrest
Corporate Creators:

University of Florida, Gainesville. Engineering School of Sustainable Infrastructure and Environment (ESSIE)
Corporate Contributors:

Florida. Department of Transportation. State Materials Office
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report 5/14-12/17
Corporate Publisher:

Florida. Department of Transportation
Abstract:

Computational models that predict the behavior of cement and concrete seek to reduce industry reliance on predictive empirical relationships through simulation of the micro-scale chemical and thermal phenomena of cement hydration and their influence on macro-scale material properties. Models such as the Virtual Cement and Concrete Testing Laboratory (VCCTL) provide a deterministic link between measurable characteristics of aggregate Computational models that predict the behavior of cement and concrete seek to reduce industry reliance on predictive empirical relationships through simulation of the micro-scale chemical and thermal phenomena of cement hydration and their influence on macro-scale material properties. Models such as the Virtual Cement and Concrete Testing Laboratory (VCCTL) provide a deterministic link between measurable characteristics of aggregate and mineral binders, the temperature and moisture of the curing environment, and the evolving properties of paste, mortar, and concrete. The following report summarizes efforts to explore the as-delivered capabilities of the VCCTL, and identify and rectify its limitations.
Format:

PDF
Funding:

BDV31-977-06
Download URL:

https://rosap.ntl.bts.gov/view/dot/64436/dot_64436_DS1.pdf
File Type:

[PDF - 16.12 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:6a51f44e9ba1d5a3a623bacae928d6305751cf976353d9ac74f4d623bc35cd35

File Language:

English

ON THIS PAGE

Details Related Documents

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.