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Article
Publication date: 7 November 2024

Abubakar Sadiq Ismail, Zhihong Nie, Abdulaziz Ahmad, Shamshad Ali and Rengui Lai

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Engineering Computations, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 13 November 2024

Junli Wang, Ling Yuan and Zhihong Tan

This study explores the potential impact of enterprise social media (ESM) communication visibility on knowledge sabotage to reduce knowledge sabotage within organizations.

Abstract

Purpose

This study explores the potential impact of enterprise social media (ESM) communication visibility on knowledge sabotage to reduce knowledge sabotage within organizations.

Design/methodology/approach

We collected data from 389 Chinese employees across three stages and used hierarchical regression analysis and the bootstrap method to test our hypotheses.

Findings

Communication visibility negatively affects knowledge sabotage, and the loss of knowledge power mediates the relationship between communication visibility and knowledge sabotage. Digital work connectivity strengthens the negative relationship between message transparency and loss of knowledge power but weakens the negative relationship between network translucence and loss of knowledge power. Therefore, digital work connectivity plays a dual role.

Practical implications

Managers can encourage employees to share their knowledge advantages through ESM and seek cross-disciplinary knowledge cooperation, which helps restrain knowledge sabotage from the source. At the same time, maintaining appropriate digital work connectivity enables employees to leverage their knowledge interaction advantages of ESM, thereby fostering their knowledge competitiveness.

Originality/value

This study is the first to reveal the internal mechanism (loss of knowledge power) through which ESM communication visibility affects knowledge sabotage and explores the boundary condition (digital work connectivity) impacting the effectiveness of communication visibility. It contributes to a deeper understanding of the inherent nature of knowledge sabotage from an information technology perspective and offers novel technical insights into its management.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

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