15111 working face of Huangyanhui Coal Mine in Shanxi Province was selected as the support of the actual project, and the stress distribution state and roadway deformation characteristics of coal pillar and solid coal under different coal pillar widths were analyzed in depth, aiming to realize the optimal design of the parameters of coal pillar excavation along the gob of the track channel in this working face. The lateral stress distribution law of goaf was deeply discussed, and the stress distribution of small coal pillar after goaf excavation was studied. At the same time, the distribution characteristics of vertical stress and horizontal stress during mining are comprehensively analyzed, and the specific values of vertical displacement and horizontal displacement in mining stage are precisely measured. The research results show that with the continuous increase of the width of coal pillar, the stress carried by coal pillar and solid coal increases correspondingly. At the same time, the increase of the width of coal pillar causes the deformation of the two sides of the tunnel to expand first and then shrink, and the deformation decreases further when the tunnel reaches a stable state. However, the deformation of the top plate and the bottom plate showed a gradually decreasing trend. Through research and analysis, the optimal design size of coal pillar in goaf excavation is optimized and determined. The research result will provide a key and reliable reference standard for the coal pillar maintenance of Huangyanhui Coal Mine and other similar projects, and effectively promote the improvement of the safety, stability and economy of the project, which has important value for promoting the technological progress in related fields.

For the convenience of installation, the bolt hole diameter in the transmission tower is generally required to be 1.5 mm larger than the diameter of the bolt, and there is sliding phenomenon after the bolt is subjected to force. The current tower design software generally uses a spatial truss model for analysis, without considering the influence of bolt slip, which cannot accurately reflect the actual deformation of transmission towers. As a result, the calculated deformation values are generally much lower than the measured values, which affects the accuracy and safety of structural internal force analysis. At present, the analysis of the impact of bolt slip on deformation is mainly carried out through finite element software combined with spring elements. Due to the large number of transmission tower members and complex structure, this processing method has low efficiency and is generally only used for verification analysis of tests. Based on the principle of virtual work, considering bolt slip and residual deformation, the calculation formula for tower deformation is improved, and fast identification methods for various joint models are proposed. At the same time, a full-scale real type experimental study was conducted for the deformation of the yak shaped landscape tower for the first time, and the experimental results, theoretical calculation values, and improved formula calculation values were compared and analyzed to verify the effectiveness of the improved formula. In addition, the measures to reduce bolt slip deformation are proposed. The research results have certain reference value for the optimization design of transmission tower, deformation control, and evaluation of bearing capacity under foundation deformation conditions such as landslides and settlements.

In order to solve the influence of bolt length on roadway support under different geological and mining conditions, using FLAC3D numerical simulation software, the numerical simulation research of tunnel support effect of 1.6, 1.8, 2.0, 2.2 and 2.4 m different bolt lengths was carried out. Through five bolt-length support schemes, the stress change and displacement deformation rule of roadway under each scheme were analyzed, and the optimal bolt-length was obtained. The results show that the change of bolt length affects the displacement and deformation of roadway after excavation. When the diameter of the bolt is constant and the length is 2.2 m, the deformation of the roadway surrounding rock is small, and the shear failure in the plastic zone is minimal. Through the comparison of several schemes, it is found that the roadway support effect is best when the length of bolt is 2.2 m.

In recent years, the rapid development of digital new quality productivity has given rise to the smart transportation industry chain. Taking the resilience of the smart transportation industry chain as the research object, its resilience connotation and influencing factors were defined. The OSM(objective-strategy-measurement) model was employed to construct a diagnostic index system for industry chain resilience from three dimensions: resistance, transformation, and recovery capabilities. “G1+CRITIC”(order relation+CRITeria importance through intercriteria correlation) information entropy diagnostic model was proposed for diagnosing industry chain resilience. Data from 2015 to 2024 of Jiangsu Province was selected for empirical analysis. The results indicate that the level of resilience in the smart transportation industry chain mainly depends on the recovery capability of the industry chain. The diagnostic model can effectively evaluate the resilience level of the industry chain and identify weaknesses. Based on the diagnostic results, precise measures to solidify and strengthen the industry chain can be proposed.

The layout design of an assembly line has a significant impact on a company's production and logistics efficiency.Taking the layout design of the D4 engine assembly line as the research object, the assembly process was analyzed,an assembly line balancing model was constructed with the goal of minimizing the number of workstations. Based on the balancing results, the task division for each workstation was determined. On the basis of analyzing the capacity requirements of the workstations, the design of the workstation layout was formed. Utilizing the systematic layout planning(SLP) method, and considering the constraints of workstation positions as well as the need for flexibility in assembly line production, the layout of the assembly line was determined based on the analysis of inter-station logistics after balancing. The layout is arranged to fulfill the rhythm demands, satisfy the assembly process, and support the efficient functioning of the assembly line.

Quantitatively assessing the incentive effect of tax incentives is of practical significance for playing the regulatory role of tax policy and promoting the development of enterprises. Taking the implementation of accelerated depreciation policy of fixed assets as a quasi-natural experiment, selecting the data of A-share listed companies in Shanghai and Shenzhen from 2010 to 2022 as samples, a multi-period double difference model was constructed to empirically test the incentive effect of tax preferential policies on enterprise growth. It is found that the policy of accelerated depreciation of fixed assets can significantly promote the growth of enterprises, and the incentive effect of this policy is heterogeneous, subject to the nature of the enterprise's equity, the nature of the industry and the size of the constraints, the growth incentive effect on non-state-owned enterprises, high-tech industry enterprises and large-scale enterprises is better. On the basis of empirical research, suggestions are proposed to further improve the tax preference policy and promote the growth of enterprises.

Taking the national advanced manufacturing clusters in the Yangtze River Delta region as a sample, the mechanism of knowledge collaboration networks on collaborative innovation performance was explored. Findings reveal that knowledge network characteristics (knowledge diversity, knowledge network density, knowledge recombination opportunities) have a positive impact on collaborative innovation performance, with knowledge absorption capacity playing a mediating role and cooperative network structural features exerting moderating effects. Specifically, network centralization and average shortest path inhibit the positive influence of knowledge network structure on collaborative innovation performance, while connectivity strengthens this positive effect. The research can provide theoretical references for enhancing collaborative innovation performance in advanced manufacturing clusters from the perspective of knowledge collaboration networks.

Disruptive technology is strategic technology that could overturn mainstream technology and reshape competitive landscape, characterized by complex evolution process and typical “non-consensus” attributes. Traditional research project evaluation methods, which rely on “one-time evaluation determines the lifetime outcome”, are unsuitable for disruptive technology projects. Instead, an evaluation-cultivation integrated approach should be adopted for their identification. Thus, the connotation of disruptive technology was analyzed, the typical practices and experiences of foreign institutions were drawn on, and three basic principles: “Logical Consensus, Inclusive Standards”, “Recognizing Strengths and Offseting Weaknesses, Sifting out the gold from the sand”, and “Tiered Planning, Dynamic Optimization” were proposed. It explores the construction of an evaluation-cultivation integrated mechanism aligned with the evolutionary traits of disruptive technologies, centered on “high-consensus logical reasoning”. The results provide methodological reference for accurately identifying disruptive technology.

Taking the research hotspot of “science and technology boosting rural revitalization” as the research object, the research hotspots and development trends in this field were explored through bibliometric analysis and CiteSpace software. The results show that in recent years, the research enthusiasm for “science and technology boosting rural revitalization” has continued to rise, mainly focusing on four aspects: industrial prosperity, talent revitalization, rural governance, and common prosperity. The research content mainly includes digital countryside, smart agriculture, green agriculture, modern agriculture, rural governance, vocational education, and so on. Meanwhile, emerging fields such as science and technology courtyard, digital economy, and green finance will become the key directions for future research.

Based on panel data from nine cities in Fujian Province, how trade between Fujian Province and ASEAN promotes industrial structure upgrading was analyzed. The empirical results indicate that increasing imports and exports to ASEAN can promote the upgrading and rationalization of Fujian Province's industrial structure. In regions with higher levels of economic development in Fujian Province, expanding trade has a greater positive impact on industrial structure upgrading. Financial support plays a positive regulatory role in the chain of expanding imports and exports to promote industrial structure upgrading. In the process of increasing exports and expanding imports in Fujian Province and ASEAN, innovation or boosting consumption are both beneficial for promoting industrial structure upgrading.