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Episciences
Article . 1999
License: CC BY
Data sources: Episciences
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Environnement, Ingénierie & Développement
Article . 1999 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Hal
Article . 1999
License: CC BY
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Discussion with end-users regarding cement/waste systems database and predictive models

Authors: Stegemann, J.; Buenfeld, N;

Discussion with end-users regarding cement/waste systems database and predictive models

Abstract

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. L'introduction d'impuretés dans les ciments est inhérente au recyclage des sous-produits industriels en matériaux de construction ainsi qu'au traitement de déchets industriels par solidification avant mise en décharge. Ces impuretés peuvent engendrer des problèmes liés à la manipulation et à la pérennité des matériaux. Pour étudier et prévenir ces problèmes, le Programme Brite-Euram III de la Commission Européenne, finance un projet en 3 ans sur l'Analyse par Réseau Neuronal pour la Prévision des Interactions au sein des Systèmes Ciment/Déchet (NNAPICS).Ce projet utilise les réseaux neuronaux afin de prévoir les propriétés physiques et environnementales des systèmes Ciment/Déchet. Des données déjà existantes sur les déchets solidifiés et les matériaux de construction contenant des sous-produits industriels sont collectées afin de constituer une base de données ; elles sont ensuite analysées en utilisant les réseaux neuronaux et complétées par les résultats d'une étude en laboratoire. Ainsi, les principales productions de ce projet seront : (1) une base de données contenant des informations sur les systèmes Ciment/Déchet (Cement/Waste Systems « CWS Database ») et (2) des modèles de prévision construits à partir des informations de la base de données.

Related Organizations
Keywords

[SDE.IE]Environmental Sciences/Environmental Engineering, [SDE.IE] Environmental Sciences/Environmental Engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid