Institution
Detection Limit (United States)
Recent research
- Engineering & Technology
The inclination and aperture of rock fractures significantly influence the mechanical properties and crack propagation behavior of rock masses. To investigate the deformation characteristics and crack evolution in sandstone, uniaxial compression tests were conducted on specimens...
- Engineering & Technology
The inclination and aperture of rock fractures significantly influence the mechanical properties and crack propagation behavior of rock masses. To investigate the deformation characteristics and crack evolution in sandstone, uniaxial compression tests were conducted on specimens...
- Engineering & TechnologyOpen access
Rheological properties of eco-friendly high-modulus asphalt considering aging characteristics
This study investigates the development and characterization of Eco-friendly High-modulus Asphalt (EHA) designed to optimize technical performance, environmental sustainability, and economic viability. By incorporating PR high-modulus modifiers alongside crumb rubber (CR) and des...
- AI & ComputingOpen access
An ESG-Based Assessment Framework for Project Governance in Expressway Construction Projects
Against the backdrop of the global pursuit of sustainable development, the traditional governance model for expressway projects, which prioritizes economic returns, can no longer meet contemporary sustainability requirements. Drawing on stakeholder theory and sustainable developm...
- Society & EconomicsOpen access
The Influence Path of Project Manager Competency on the Performance of Area Development Projects
The competence of a project manager is pivotal in influencing the success of construction projects and significantly affecting project performance. To explore the influence mechanism of project manager competency on the performance of area development projects, this study adopted...
- Engineering & Technology
Abstract The pore structure of foamed concrete exhibits an inherent interaction with mechanical behavior. This study developed a novel deep-learning (DL) strategy to predict mechanical behavior of foamed concrete based on the image of pore distribution. This framework includes tw...