Sudhanshu Sekhar Das

Employment

• Veer Surendra Sai University of Technology Professor

Education

• Veer Surendra Sai University of Technology Professor

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• Predictive Modeling of Graphene-Modified Warm-Mix Asphalt: Integrating Rheology and Stress Sensitivity
  Journal of Transportation Engineering, Part B: Pavements 2026 DOI: 10.1061/JPEODX.PVENG-1916
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• Role of Demographic Parameters in Traffic Safety: a Study On Driver Behavior in Odisha, India
  Journal of The Institution of Engineers (India): Series A 2025 DOI: 10.1007/s40030-025-00892-y
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• Evaluation of HMA and WMA RAP mixture using hydrogenated castor oil flakes
  Journal of Road Engineering 2025 DOI: 10.1016/j.jreng.2024.10.002
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• Numerical Analysis of Earthen Embankment Failure Under Critical Steady Seepage Condition
  2025 DOI: 10.1007/978-981-96-5043-9_13
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• Estimation and Optimization of the Hydrostatic Height of Waterway Embankment Using Taguchi-Based Honey Badger Algorithm
  Journal of Soft Computing in Civil Engineering 2024 DOI: 10.22115/SCCE.2023.389103.1614
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• Mix design strategy and optimization considering characteristic evaluation of geopolymer concrete
  Journal of Building Engineering 2024 DOI: 10.1016/j.jobe.2024.109557
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• Parametric optimization of bentonite-fly-ash composite core for earthen embankment using Taguchi coupled sunflower optimization algorithm
  Innovative Infrastructure Solutions 2024 DOI: 10.1007/s41062-023-01312-5
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• Effects of a two-phase mixing process on warm-mix asphalt by factorial analysis
  Proceedings of Institution of Civil Engineers: Construction Materials 2023 DOI: 10.1680/jcoma.23.00039
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• Moisture and rutting resistance of recycled polypropylene fiber-modified dense bituminous mix
  Innovative Infrastructure Solutions 2023 DOI: 10.1007/s41062-023-01118-5
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• Parametric Optimization of Bentonite-fly-ash Composite Core for Earthen Embankment using Taguchi Coupled Sunflower Optimization Algorithm
  Research Square 2023 DOI: 10.21203/rs.3.rs-2345674/v1
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