Volume 16 Issue 4

Published on April 2025
Research Article
Published on 16 April 2025 DOI: 10.54254/2977-3903/2025.22175
Chenxi Huang
DOI: 10.54254/2977-3903/2025.22175

This paper reviews the research progress of sustainable pavement materials, focusing on the urgent need to reduce carbon emissions and improve the recyclability of road construction materials. Traditional materials such as asphalt and cement contribute significantly to greenhouse gas emissions due to their reliance on fossil fuels. This study explores innovative solutions including bio-based asphalt substitutes, recycled aggregates, and industrial by-products that comply with circular economy principles and offer similar or better mechanical properties. Integrating these materials into road construction can not only solve environmental problems but also support global climate governance efforts. Despite the progress made, challenges remain, such as the need for a comprehensive life cycle assessment framework and improved performance evaluation systems. This paper emphasizes the importance of building a multi-dimensional collaborative innovation research framework to overcome the technological bottleneck and promote the sustainable development of green infrastructure.

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Huang,C. (2025). Advancements in sustainable pavement materials: A literature review. Advances in Engineering Innovation,16(4),1-4.
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Research Article
Published on 16 April 2025 DOI: 10.54254/2977-3903/2025.22264
Kunpeng Yang
DOI: 10.54254/2977-3903/2025.22264

With the increasing penetration rate of new energy in the power generation system, the uncertainty of its output brings great challenges to the stable operation of the power system. It is imperative to build an efficient and reliable energy storage system. Hybrid energy storage can satisfy the task of wave calming under the demand of multiple scenarios. This paper focuses on the hybrid energy storage system composed of a supercapacitor and lithium battery, mainly introduces its characteristics and topology, and discusses the key role in calming new energy fluctuations and peak cutting and valley filling. The internal power distribution strategy of hybrid energy storage is sorted out, and it is clear that the optimization goal should balance economy and reliability, and there should be corresponding optimization goals in different scenarios. It points out that a variety of topologies should be built in the future, and calls for the active application of new wide-band gap materials and multi-sided collaborative configuration combined with intelligent optimization algorithms to promote the more efficient and stable application of hybrid energy storage systems in the new power system.

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Yang,K. (2025). Research progress and expectation of hybrid energy storage in new power system. Advances in Engineering Innovation,16(4),5-10.
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Research Article
Published on 16 April 2025 DOI: 10.54254/2977-3903/2025.22336
Yitao Liu, Dongrong Xin
DOI: 10.54254/2977-3903/2025.22336

This study uses molecular dynamics simulations to systematically explore the effects of Ti content, temperature, and shear strain rate on the shear deformation behavior of CoCrFeNiCuTix high-entropy alloys. The results show that, at the same temperature and shear strain rate, the shear modulus increases with the increase in Ti content, while the shear strength remains unaffected. For the equiatomic CoCrFeNiCuTi high-entropy alloy, both the shear modulus and shear strength decrease linearly as the temperature rises. However, as the shear strain rate increases, the shear modulus remains mostly unchanged, but the shear strength shows a significant increase.

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Liu,Y.;Xin,D. (2025). Shear behavior of CoCrFeNiCuTix high-entropy alloys based on molecular dynamics simulations. Advances in Engineering Innovation,16(4),11-17.
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Research Article
Published on 16 April 2025 DOI: 10.54254/2977-3903/2025.22335
Yuhan Sun
DOI: 10.54254/2977-3903/2025.22335

To improve the intermodal service at Qingdao Jiaodong Airport, addressing operational challenges such as fuzzy passenger demand layering and insufficient cross-modal coordination, and to solve the core issues of supply-demand mismatches and a single pricing mechanism in the air-rail intermodal ticketing system, this study proposes a personalized ticketing optimization strategy based on user profiling. First, through extensive survey data, the study analyzes the personal attributes and travel characteristics of the surveyed passengers. Then, using the K-means clustering algorithm, the study clusters passengers' multidimensional features and determines the optimal number of clusters through the elbow method and silhouette coefficient method. This leads to the establishment of differentiated user labels: economy-class passengers, business-class passengers, and leisure-class passengers. The market segmentation research on passenger groups shows that these three distinct groups perceive the bottlenecks of intermodal services differently, especially exhibiting significant layering features in the key dimensions of time sensitivity and price sensitivity. The results provide a comparative scheme for improving the air-rail intermodal ticketing service at Qingdao Jiaodong International Airport, offering differentiated service strategies for each passenger group. Through responsive demand and resource optimization, this study has significant practical implications for enhancing passenger experience and strengthening the market competitiveness of the service.

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Sun,Y. (2025). Study on air-rail intermodal ticketing optimization based on K-means clustering — A case study of Qingdao Jiaodong International Airport. Advances in Engineering Innovation,16(4),18-23.
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