Reconstruction of the meso-scale concrete model using a deep convolutional generative adversarial network (DCGAN)-Reference-Cited by-同舟云学术

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Reconstruction of the meso-scale concrete model using a deep convolutional generative adversarial network (DCGAN)

Published:2023-03 Issue: Volume:370 Page:130704
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Liu Yifan,Zhang Jie,Zhao Tingting,Wang Zhiyong,Wang Zhihua

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanxi Province

Natural Science Foundation for Young Scientists of Shanxi Province

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference53 articles.

1. Microstructure evolution and mechanical property characterization of nickel-based superalloy at the mesoscopic scale;Zhu;J. Mater. Sci. Technol.,2020

2. Meso-scale modelling of the thermo-mechanical response for concrete with complex-shaped aggregates in early age;Qiu;Constr. Build. Mater.,2022

3. 3D mesostructure generation of fully-graded concrete based on hierarchical point cloud and aggregate coarsening;Xu;Constr. Build. Mater.,2022

4. High fidelity 3D mesoscale modeling of concrete with ultrahigh volume fraction of irregular shaped aggregate;Ma;Compos. Struct.,2022

5. H Coupling effect of strain rate and specimen size on the compressive properties of coral aggregate concrete: A 3D mesoscopic study;Wu;Compos. Part B-ENG.,2020

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