Publication: Quantitative weathering evaluation for rock mass in tropical region using multimodal imaging methods.
| datacite.subject.fos | oecd::Engineering and technology::Civil engineering | |
| dc.contributor.author | Razali, Mazlina | |
| dc.date.accessioned | 2026-10-23T09:12:39Z | |
| dc.date.available | 2026-10-23T09:12:39Z | |
| dc.date.issued | 2025-08 | |
| dc.description.abstract | The stability of rock slopes in tropical regions is significantly influenced by weathering processes, necessitating precise and efficient assessment methodologies. Conventional visual inspection techniques for evaluating weathering in rock strength are inherently subjective and prone to variability. To address these challenges, this study proposes the development of quantitative assessment tools and methodologies that employ integrated image analysis techniques for rapid evaluation (multimodal imaging). This approach proposes characterising and quantifying the degree of weathering on rock slope surfaces by analysing colour tones and rock strength grades by applying "CIELab" surface colour integration and image analysis, thereby providing objective and consistent data. Through a comprehensive research framework encompassing desk studies, drone mapping, laboratory testing, and rock and material characterisation, this study seeks to establish the relationships among weathering grades, modulus elasticity, and strength parameters. This methodology facilitates the development of novel software systems for assessing weathering grades, incorporating geological, geomechanical, and image analysis. Additionally, the study aims to verify the efficacy of the employed tools by comparing them with conventional methods and laboratory results for verification purposes. Image analysis improves spatial resolution and interpretative accuracy by 60–70%, capturing local variations and smaller zones missed by visuals and sketches. It also enhances the distinction of intermediate weathering grades (IV-VI), crucial for slope hazard analysis by 50–60%. Overall, the multimodal image analysis method improves weathering classification accuracy and usefulness by approximately 60–65% compared to conventional visual sketching. By enhancing the accuracy and efficiency of assessing changes in weathering grades in tropical rock slopes, the proposed methodologies and technologies contribute to improved slope stability analyses and support more informed risk management strategies within geotechnical engineering. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/25220 | |
| dc.language.iso | en | |
| dc.title | Quantitative weathering evaluation for rock mass in tropical region using multimodal imaging methods. | |
| dc.type | Resource Types::text::thesis::doctoral thesis | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |