Work

Compressive strength prediction of recycled concrete based on deep learning

Year: 2018

Type: article

Source: Construction and Building Materials

DOI: 10.1016/j.conbuildmat.2018.04.169

Authors: Fangming Deng, Yigang He, Shuangxi Zhou, Yun Yu, Haigen Cheng, Xiang Wu

Institutions: East China Jiaotong University, Wuhan University, Nanchang University

Language: English

Topic: Recycled Aggregate Concrete Performance

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Education Department of Jiangxi Province, National Key Research and Development Program of China

Awards: 基于标识传感融合的输变电设备信息感知与处理关键问题研究, G3430775225, G3599059652, G4003224632, 非对称服役环境下海底隧道混凝土劣化损伤机理研究, G6496176865, 基于无源传感标签的混凝土健康监测高可靠性关键技术研究, G8089898609

OpenAlex ID: W2801822775

FWCI: 19.3

Cites: 32

Cited by: 405

Related to: 10