Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of compressive strength of recycled concrete (RC) based on BP and ELman neural networks
With the continuous urbanisation and construction process, more than 4t of waste concrete is generated in China every year. In order to crush and screen the waste concrete to form recycled aggregate (RA) for the preparation of recycled concrete (RAC). The development of recycled resource utilization of construction solid waste can be effectively promoted. Due to the residual mortar adhering to the surface of the recycled aggregate, the mechanical properties of recycled concrete will be lower than those of natural concrete. Most scholars have based their research on prediction of the compressive strength of RC using regression model is based on test data, but the prediction results obtained by this method are discrete and cannot quantify the effect of various factors on the compressive strength of recycled concrete .
Prediction of compressive strength of recycled concrete (RC) based on BP and ELman neural networks
With the continuous urbanisation and construction process, more than 4t of waste concrete is generated in China every year. In order to crush and screen the waste concrete to form recycled aggregate (RA) for the preparation of recycled concrete (RAC). The development of recycled resource utilization of construction solid waste can be effectively promoted. Due to the residual mortar adhering to the surface of the recycled aggregate, the mechanical properties of recycled concrete will be lower than those of natural concrete. Most scholars have based their research on prediction of the compressive strength of RC using regression model is based on test data, but the prediction results obtained by this method are discrete and cannot quantify the effect of various factors on the compressive strength of recycled concrete .
Prediction of compressive strength of recycled concrete (RC) based on BP and ELman neural networks
Zhang, Mingqi (Autor:in) / Qu, Jiaxin (Autor:in) / Qiu, Qingya (Autor:in)
01.07.2023
1064988 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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