## 2 Related Works  
In recent years, as the concept of environmental protection becomes more and more popular, more and more researchers are focusing on the important role of GC in energy saving and emission reduction in the construction industry. [PERSON], [PERSON] et al. proposed a method to predict the compressive strength of GC using an artificial neural networks (ANN) model in response to the demand for sustainable materials in the construction industry. Furthermore, the findings demonstrated that the approach had a 94.2% accuracy rate in predicting the compressive strength of GC [4]. Researchers such as [PERSON], [PERSON] addressed the problem of difficult disposal of biomedical waste and proposed a method of utilizing biomedical waste as a construction material constituting a new type of GC. The outcomes demonstrated that it can be mixed with geopolymer concrete to replace part of the raw ingredients, enhance concrete performance, and lessen the risk of hazardous waste entering the environment [5]. [PERSON], L et al. proposed a hybrid model based on genetic algorithm and artificial neural networks (GA-ANN) to predict solutions for the problem of high complexity of GC compressible strength prediction, then compared the prediction effect of support vector regression (SVR) and ANN algorithms. The outcomes demonstrated that the GA-ANN model has the best prediction performance and robustness [6]. [PERSON], [PERSON] et al. proposed the use of sugar case gagasse ash and silica fume (SCBA-SF) as a partial replacement of cement in the preparation of GC to address the problem of the environmental impact of traditional concrete. The outcomes demonstrated that the physical and mechanical properties of GC were comparable to those of traditional concrete, especially at 10% and 20% replacement rates, which is a new option for environmentally friendly building materials [7]. In order to investigate the strength, pore structure, morphology, and mineral composition of natural volcanic ash and silica nanoparticles-based alkali-inspired cementitious materials, [PERSON], [PERSON] proposed the use of NMR to assess the pore structure. The results showed that the addition of nano-silica reduced the porosity and improved the mechanical properties, and the NMR assessment effectively revealed the relationship between microstructure and macroscopic properties [8]. In order to solve the problem of environmental pollution caused by Portland cement, [PERSON] et al. proposed the use of waste limestone powder and nanomaterials to reduce the amount of cement and produce sustainable high strength concrete. The results showed that 16% replacement of limestone powder for cement could meet the environmental requirements and maintain the quality of concrete, while nanoalumina as a partial replacement for cement worked best at a 1.5% replacement rate [9]. To address the low resistance to seawater erosion, acid resistance, and resistivity of conventional cementitious materials, [PERSON] et al. proposed the use of volcanic rock powder (PP) as a modifier. Based on the results, it was found that the addition of PP enhanced the material's resistivity, sulfate and saltwater resistance, resistivity, and thermal and acoustic insulating qualities [10]. To address the issue of optimizing the properties of high-performance concrete (HSC), [PERSON] and other researchers proposed partial replacement of volcanic pumice powder (VPP) as a supplementary cementitious material and the addition of different amounts of polypropylene fibers (PF) to prepare different concrete mixtures. The specimens with the addition of 0.20% PF and 10% VPP replacement of cement demonstrated a minor increase in strength at later age compression, according to the results. The best specimens in terms of tensile and flexural strength were those with 10% VPP replacement and 0.50% PF content [11]. In summary, the application of RP in the field of GC has an adequate theoretical and practical basis. However, few studies have combined it with modified rubber (MR) for concrete manufacturing.