A machine learning based design optimization method for electrically conductive cementitious composites

Wei Dong

School of Engineering

Research output: Thesis › Doctoral Thesis

369 Downloads (Pure)

4 Article

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2022
An artificial intelligence-based conductivity prediction and feature analysis of carbon fiber reinforced cementitious composite for non-destructive structural health monitoring
Dong, W., Huang, Y., Lehane, B. & Ma, G., 1 Sept 2022, In: Engineering Structures. 266, 114578.
Research output: Contribution to journal › Article › peer-review
14 Citations (Scopus)
Multi-objective design optimization for graphite-based nanomaterials reinforced cementitious composites: A data-driven method with machine learning and NSGA-Ⅱ
Dong, W., Huang, Y., Lehane, B. & Ma, G., 9 May 2022, In: Construction and Building Materials. 331, 127198.
Research output: Contribution to journal › Article › peer-review
42 Citations (Scopus)
2021
Mechanical and electrical properties of concrete incorporating an iron-particle contained nano-graphite by-product
Dong, W., Huang, Y., Lehane, B., Aslani, F. & Ma, G., 8 Feb 2021, In: Construction and Building Materials. 270, 121377.
Research output: Contribution to journal › Article › peer-review

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27 Citations (Scopus)

164 Downloads (Pure)
2020
XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring
Dong, W., Huang, Y., Lehane, B. & Ma, G., 1 Jun 2020, In: Automation in Construction. 114, 103155.
Research output: Contribution to journal › Article › peer-review
234 Citations (Scopus)