The project, led by Romit Rajendra Kaware (IIT Delhi) under the guidance of Dr. (Cdr.) Arnab Das (MRC Pune), presents an advanced framework for analyzing sediment-bearing pressure using acoustic and remote sensing methods. Traditional sediment testing methods are slow and costly; hence, this approach leverages Sub-Bottom Profilers (SBP) and the Biot-Stoll model to derive seafloor geotechnical parameters like porosity, density, and shear velocity. The study details signal acquisition, filtering (STFT and Gabor wavelet transform), and parameter correlation for accurate pressure estimation. It emphasizes applications in offshore construction, seabed foundation design, and defense infrastructure, particularly within the Indian Ocean Region (IOR). Future improvements include AI/ML integration for automated processing, GUI development for real-time visualization, and policy interventions for broader accessibility of acoustic sediment data.
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1. Innovative Acoustic Approach: Uses Sub-Bottom Profilers (SBP) and acoustic classification systems for real-time seabed mapping and pressure estimation.
2. Model-Based Classification: Employs the Biot-Stoll model to calculate key sediment parameters—porosity, density, and shear modulus—linking them to bearing capacity.
3. Data Processing & Correlation: Applies Fourier and Wavelet Transform techniques for acoustic signal filtering and sediment classification accuracy.
4. Applications & Future Scope: Supports offshore engineering, defense infrastructure, and marine resource exploration; recommends AI/ML-based models and custom GUIs for real-time sediment analysis.
Department of Civil Engineering, IIT Delhi