Neural networks implementation for the environmental optimisation of the recycled concrete aggregate inclusion in warm mix asphalt

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F24%3A10480823" target="_blank" >RIV/00216208:11310/24:10480823 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=IQQVmJhDJG" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=IQQVmJhDJG</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/14680629.2023.2230298" target="_blank" >10.1080/14680629.2023.2230298</a>

Result language

angličtina

Original language name

Neural networks implementation for the environmental optimisation of the recycled concrete aggregate inclusion in warm mix asphalt

Original language description

Regarding the traditional Hot Mix Asphalt (HMA), Warm Mix Asphalt (WMA) with Recycled Concrete Aggregate (RCA) contents (WMA-RCA) requires lower production temperatures and diminishes the consumption of natural aggregates (NAs). Nonetheless, these environmental benefits may be counteracted by the higher optimal asphalt binder demanded by the WMA-RCAs. In this regard, this research develops a computational model to optimize the WMA-RCA design. In order to build a sufficiently accurate and adaptable model, it was decided to employ Artificial Neural Networks (ANNs). The ANN implementation was based on the postulates of the statistical learning theory, i.e., preferring to generate learning through low-complexity models. Also, a representative case study of the northern region of Colombia was assessed. In this scenario, the optimal coarse RCA content was 10%, and the sustainability savings were maintained up to an RCA&apos;s hauling distance of 200 km.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10505 - Geology

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Road Materials and Pavement Design

ISSN

1468-0629

e-ISSN

2164-7402

Volume of the periodical

25

Issue of the periodical within the volume

5

Country of publishing house

GB - UNITED KINGDOM

Number of pages

26

Pages from-to

941-966

UT code for WoS article

001022744200001

EID of the result in the Scopus database

2-s2.0-85164490002