Shaolin Zhang’s scientific contributions

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Publications (2)


Multi-objective optimization of concrete mix design based on machine learning
  • Article

October 2023

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44 Reads

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22 Citations

Journal of Building Engineering

Wu Zheng

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Zhonghe Shui

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Zhengzhong Xu

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[...]

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Shaolin Zhang

Mix ratio of cement paste in this study.
Effect of Vibration Procedure on Particle Distribution of Cement Paste
  • Article
  • Full-text available

March 2023

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64 Reads

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3 Citations

Vibration procedures significantly affect the performances of cement-based materials. However, studies on the distribution of certain particles within cement-based materials are limited due to the complexity and difficulty of identifying each specific particle. This paper presents a new method for simulating and quantifying the movements of particles within cement paste through the use of “tagged materials”. By separating the tagged particles from the cement paste after vibration, the distribution of the particles in the cement paste can be calculated statistically. The effect of the vibration time and frequency, fresh behavior, and powder characteristics of cement paste on particle motions are investigated. The results demonstrate that when the vibration exceeds 1800 s, it induces a significant uneven dispersion of microparticles. This effect is more pronounced at low viscosities (<1 Pa·s) of cement paste or high vibration frequencies (>200 Hz). Larger and denser particles exhibit greater dispersion. This method provides a valuable tool for investigating the theory of particle motion in cement paste, which is crucial for understanding the influence of vibration on the properties of cement-based materials.

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Citations (2)


... A crucial component of ML is the fine-tuning of hyper parameters. The tuning of parameters can greatly affect the effectiveness and performance of models [115][116][117]]. An ML model's behavior during training is determined by its hyperparameters and, thus, programmable parameters. ...

Reference:

Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches
Multi-objective optimization of concrete mix design based on machine learning
  • Citing Article
  • October 2023

Journal of Building Engineering

... Porosity is a key indicator for assessing the performance of vegetation porous concrete [20], influenced by factors such as aggregate particle size [14], paste-aggregate ratio [72,73], and type of cementitious materials [27]. Porosity not only affects the mechanical strength of vegetation porous concrete but also plays a crucial role in plant growth, directly impacting water supply, gas exchange, and root development. ...

Effect of Vibration Procedure on Particle Distribution of Cement Paste