Zhi Wan

发表

On the use of machine learning models for prediction of compressive strength of concrete Influence of dimensionality reduction on the model performance

Zhi Wan, 2021 .

Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete

B. Šavija, E. Schlangen, Yading Xu, 2022, Engineering Fracture Mechanics.

Optimization of vascular structure of self-healing concrete using deep neural network (DNN)

B. Šavija, Yading Xu, Z. Chang, 2023, Construction and Building Materials.

Interpretable Ensemble-Machine-Learning models for predicting creep behavior of concrete

B. Šavija, E. Schlangen, Y. Gan, 2021, Cement and Concrete Composites.

On the Use of Machine Learning Models for Prediction of Compressive Strength of Concrete: Influence of Dimensionality Reduction on the Model Performance

B. Šavija, Yading Xu, Zhi Wan, 2021, Materials.

Influence of printing direction on 3D-printed vascular based self-healing cementitious composites

B. Šavija, Yading Xu, Zhi Wan, 2023, MATEC Web of Conferences.

Mechanical properties and healing efficiency of 3D-printed ABS vascular based self-healing cementitious composite: Experiments and modelling

B. Šavija, Yading Xu, Shanshan He, 2022, Engineering Fracture Mechanics.

Early age hydration of model slag cement: Interaction among C3S, gypsum and slag with different Al2O3 contents

Yu Zhang, O. Çopuroğlu, Zhi Wan, 2022, Cement and Concrete Research.

Towards Understanding Deformation and Fracture in Cementitious Lattice Materials: Insights from Multiscale Experiments and Simulations

B. Šavija, E. Schlangen, Yading Xu, 2022, SSRN Electronic Journal.

Inverse Design of Digital Materials Using Corrected Generative Deep Neural Network and Generative Deep Convolutional Neural Network

B. Šavija, Yading Xu, Z. Chang, 2022, Adv. Intell. Syst..

Early-age creep of 3D printable mortar: Experiments and analytical modelling

B. Šavija, E. Schlangen, Yading Xu, 2023, Cement and Concrete Composites.