Similar Material Proportioning Tests and Mechanical Properties Based on Orthogonal Design.

Modeling landslide behavior under seismic conditions requires precise material formulations. Prior research has shown that shaking table tests can replicate such scenarios effectively. However, no prior work had resolved how to proportion materials to match field conditions accurately. This gap motivated the current investigation into the mechanical behavior of analogous materials. It was already known that real-world materials vary in composition and response. The challenge lies in replicating these properties in the lab. No prior work had established a systematic method for determining optimal mixing ratios. This uncertainty drove the need for a structured experimental approach. The objective was to identify how different components influence mechanical outcomes. This study aimed to bridge the gap between theoretical models and practical simulations.

This study aimed to determine the optimal mixing ratios for materials used in shaking table tests. The goal was to replicate the mechanical properties of natural materials in a controlled setting. The researchers focused on how different components affect physical and mechanical behavior. They sought to identify which factors most strongly influence the outcomes. The motivation stemmed from the need to improve the accuracy of landslide simulations. No prior work had applied orthogonal design to this specific problem. The study aimed to address this limitation through systematic testing. The ultimate purpose was to provide a reliable method for material proportioning in geotechnical experiments.

The researchers used an orthogonal design approach to test material mixtures. They selected six components to formulate the analogous materials. These included quartz sand, barite powder, iron powder, gypsum, rosin, and alcohol. Each component played a specific role in the mixture. Aggregates were formed from iron, barite, and quartz. Gypsum acted as an additive, while rosin and alcohol served as a binder. Mechanical tests included double-sided shear, uniaxial compression, and splitting. The results were analyzed using extreme difference and regression methods. This approach allowed for the identification of dominant factors influencing material behavior.

The mechanical properties of the materials varied significantly with different mixing ratios. The range of outcomes met the requirements for various rock model experiments. Extreme difference analysis highlighted the most influential factors. Regression equations were derived to predict mechanical behavior. The dominant factors included the proportions of barite and quartz. Gypsum and rosin also played significant roles in the mixture. The shear strength showed the highest sensitivity to material ratios. The uniaxial compression results provided insights into material stability. These findings suggest that precise control over mixing ratios is essential. The study confirmed that the orthogonal design method is effective for this purpose.

The orthogonal design method proved effective in determining optimal mixing ratios. The mechanical properties of the materials were highly dependent on component proportions. The study identified key factors influencing shear strength and compression behavior. The regression equations provided a reliable predictive tool. The findings suggest that material composition significantly affects experimental outcomes. The approach can be applied to improve the accuracy of shaking table tests. The results support the use of this method in future geotechnical simulations. The study contributes to the development of more realistic landslide models.