HCMCOU Journal of Science – Advances in Computational Structures (hereinafter referred to as the Journal) is a specialized academic journal, that follows a double-blind peer-review process and open access policy. The Journal strives to enhance its integration and connectivity with both national and international data systems; our primary audiences consist of researchers engaged in the fields within the scope of the Journal.
The Journal serves as a platform for the completed scientific research encompassing areas such as numerical and analytical solution, algorithm, and experimental studies in the discipline of engineering structures and computational mechanics. The Journal actively encourages scientists provide comprehensive and integrated coverage of these concepts and technologies for engineering structures and systems, taking into account all engineering structural materials classes (steel, reinforced concrete, glass, wood, composite, novel materials like nanomaterials, and bio-inspired materials). These research outcomes are expected to have a significant impact on local, national, and global scales. Furthermore, the journal welcomes specific research focusing on socio-economic conditions and management mechanisms in areas that have received limited attention.
The topics include, but are not limited to, the following areas:
- Structural Reliability
- Optimization algorithm
- Structural analysis-based machine learning
- Structural optimization
- Damage detection and characterization
- Structure-fluid-soil interaction
- Structural mechanics
- Infrastructure engineering
- Multi-hazard engineering
- Wind engineering
- Data-driven analysis methods
- Experimental methods
- Computational methods
- Mechanics of materials