Hao Sui

ORCID: 0000-0003-0992-9265
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About
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Research Areas
  • Concrete and Cement Materials Research
  • Rock Mechanics and Modeling
  • Innovative concrete reinforcement materials
  • Tailings Management and Properties
  • Clay minerals and soil interactions
  • Infrastructure Maintenance and Monitoring
  • Magnesium Oxide Properties and Applications
  • Grouting, Rheology, and Soil Mechanics
  • Landslides and related hazards
  • Graphene and Nanomaterials Applications
  • Coal Properties and Utilization
  • Geothermal Energy Systems and Applications
  • Advanced materials and composites
  • Bone Tissue Engineering Materials
  • Recycling and utilization of industrial and municipal waste in materials production
  • Geotechnical and Geomechanical Engineering
  • Zeolite Catalysis and Synthesis
  • Concrete Corrosion and Durability
  • Recycled Aggregate Concrete Performance
  • Advanced ceramic materials synthesis
  • earthquake and tectonic studies
  • Concrete Properties and Behavior

Monash University
2020-2025

Australian Regenerative Medicine Institute
2024

The deep learning-based method demonstrates superior capability in high-temperature deterioration analysis of rock materials through scanning electron microscopy (SEM) characterization. However, the blurred boundaries between particles and pore structure presented SEM images always affect training efficiency. Hence, this study, metal intrusion technology backscattered (BSE) observations are applied to assist a model analyze exposed different levels high temperatures. >2000 micro for each...

10.1016/j.enggeo.2024.107534 article EN cc-by Engineering Geology 2024-04-29

Abstract The dissolution kinetics of tricalcium silicate (Ca 3 SiO 5 , or C S), the primary component ordinary Portland cement, are critical to cement hydration, which governs key properties, such as setting, hardening, long‐term mechanical performance, and durability. Despite its importance, lack kinetic data for single S particle hinders development accurate hydration models a comprehensive understanding mechanisms. In this study, we employed novel lab‐on‐a‐chip technology integrated with...

10.1111/jace.20491 article EN cc-by Journal of the American Ceramic Society 2025-03-21

Comprehending the microstructure of LC3 is paramount importance since it governs majority properties cement. Here, we investigate spatial correlation and pore morphology LC3, revealing microstructural refinement effects through deep learning image-based characterisation. A model was developed to characterise local features 28-day with optimised resolution physical image size, identifying a lower probability connected pores occurring but higher likelihood solid particles in than OPC. 33%...

10.1016/j.conbuildmat.2023.132721 article EN cc-by-nc Construction and Building Materials 2023-08-12

Limestone calcined clay cement (LC3) holds promise as a new type of sustainable cement-based material, but the mechanisms underpinning its engineering performance are still poorly understood. Here, metal intrusion-enhanced imaging approach was employed to quantitatively analyze and link pore structure development LC3 hydration process, i.e. solid-phase development, mechanical performance. We found that early age microstructural in is inhomogeneous, with perimeter limestone particles...

10.1080/21650373.2022.2074911 article EN Journal of Sustainable Cement-Based Materials 2022-05-24

Dissolution of tricalcium silicate (C3S) is a crucial process in cement hydration. Despite its significance, the kinetics dissolution at particle level—where C3S particles exhibit heterogeneous reactivities both spatially and temporally—remains poorly understood. In our study, we utilized lab-on-a-chip technology integrated with confocal laser scanning microscopy to monitor individual particles. This approach enabled us quantitatively assess heterogeneity among under various conditions...

10.2139/ssrn.4839906 preprint EN 2024-01-01

10.1016/j.jrmge.2024.11.040 article EN cc-by-nc-nd Journal of Rock Mechanics and Geotechnical Engineering 2024-12-01
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