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This paper investigates the vibration compaction mechanism and evaluates the impact of vibration frequencies on the stability of coarse-grained soil, aiming to optimize the subgrade filling process.

This study examines the vibratory compaction behavior of coarse-grained soils through indoor vibration tests and discrete element simulations. Focusing on angular gravel (breccias) of varying sizes, the simulations were calibrated using parameters such as Young’s modulus, restitution and friction coefficients. The analysis highlights how particle shape influences compaction, revealing mesoscopic mechanisms that drive macroscopic compaction outcomes.

This study investigates the influence of vibration frequency on the compaction behavior of coarse-grained soils using discrete element simulation. By analyzing particle contact and motion, the mesoscopic mechanisms driving compaction are explored. The study establishes a positive linear correlation between contact force anisotropy (Cv) and deformation, demonstrating that higher anisotropy leads to greater structural disruption. Additionally, the increase in sliding contact percentage (SCP) at higher frequencies indicates instability in the skeletal structure, driven by uneven contact force distribution. These findings reveal how frequency-induced stress concentration affects the stability and deformation of the soil skeleton.

This research explores the effect of various vibration frequencies on the compaction behavior of coarse-grained soils, examining microscopic interactions to reveal their impact on soil stability and deformation.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

The primary aim of this study is to explore challenges and prospects of Islamic banking system in non-Muslim states to foster regulatory frameworks of the system.

Content analysis as an integral part of qualitative research was used. Secondary data through the exploration of cursory literature was taken into consideration.

The findings identified three prime challenges, namely, regulatory, operational and institutional, which are impeding the smooth activities and performances of Islamic banks in using innovative Islamic products and services that can favourably compete with products and services of conventional banking system in non-Muslim states. In addition, strengthening the adoption and performance of Islamic banking in non-Muslim states can efficiently and effectively address the identified and multifarious regulatory, operational and institutional challenges to achieve financial inclusion and overall economic growth.

Challenges encountered and prodigies or potentials of operating Islamic banking system by most of non-Muslim countries remains a pivotal aspect that needs research attention in the recent.

Nonetheless, the limitation of this study is that the study relies on the use of secondary data. However, it has provided a substantial direction for future studies in empirically exploring the variables of this study.

Indeed, 19th century was a remarkable turning point in the development and expansion of Islamic banking system in the Muslim world. Many predominant Muslim countries such as Malaysia, Indonesia, Saudi Arabia, Bangladesh, Pakistan, among others have been efficiently and effectively operating Islamic banking system within the framework of Islamic legal provisions. Many non-Muslim countries such as Australia, the UK, USA, etc., have also adopted Islamic banking system.

It is noted that policy directions of the study among others should address the regulatory frameworks that is Shari’ah-compliant in the operation of Islamic banking system in non-Muslim states. It is therefore suggested that the policymakers, Islamic financial experts and regulators should use the innovation that could bring competitiveness into the operation of Islamic banking system in non-Muslim states.