Discussion with end-users regarding cement/waste systems database and predictive models
Introduction of impurities into cement is inherent to recycling of industrial by-products in building materials, and to treatment of industrial wastes by solidification prior to disposal. These impurities can cause problems with materials handling and durability. In this respect, 3-year project is funded under the European Commission’s Brite-Euram III programme, on Neural Network Analysis for Prediction of Interactions in Cement/Waste Systems (NNAPICS).
This project applies neural networks to predict the physical and environmental properties of cement/waste systems. Existing data concerning solidified wastes and building materials containing industrial by-products are being collected into a database and analysed using neural networks, and supplementary data are being generated in a laboratory study. Thus, the main deliverables from the project will be: (1) a database containing information about cement/waste systems (the «CWS Database»), and (2) predictive models constructed using the information in the database.
J.A. Stegemann and N.R. Buenfeld
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