Autogenous shrinkage prediction on high-performance concrete of fly ash based on BP neural network

Baomin Wang; Wenping Zhang; Lijiu Wang

doi:10.1117/12.717458

6 November 2006 Autogenous shrinkage prediction on high-performance concrete of fly ash based on BP neural network

Baomin Wang, Wenping Zhang, Lijiu Wang

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63574O (2006) https://doi.org/10.1117/12.717458
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

The article adopts test data of neural network for autogenous shrinkage to train and predict on the data which doesn't join training. The article's prediction is on the basis of common medium sand, 5-31.5mm limestone rubble, second class fly-ash, P.O42.5 silicate cement, considering factors include five ones such as ratio of water and cement, sand rate, content of cement, content of fly ash, etc.By adjusting various parameters of neural network structure, it obtains three optimized results of neural network simulation. The error between concrete autogtenous shrinkage value of neural network prediction and trial value is within 3%, which can meet requirement of the concrete engineering.

Citation Download Citation

Baomin Wang, Wenping Zhang, and Lijiu Wang "Autogenous shrinkage prediction on high-performance concrete of fly ash based on BP neural network", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63574O (6 November 2006); https://doi.org/10.1117/12.717458

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available