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Saran Amarnath

Projects & Research

Engineering projects grounded in analysis.

My work combines design, simulation, acoustic analysis and applied problem-solving across shipping, offshore engineering and sustainable maritime systems.

Featured Project

UCL Dissertation · Underwater Radiated Noise from Ships in Southampton Water

Analysing hydrophone recordings and AIS vessel data from a highly active commercial port environment. The workflow includes synchronising acoustic and vessel timestamps, identifying vessel passages, calculating CPA, range and speed, applying acoustic calibration, generating spectrograms, comparing vessel noise with background noise, and calculating PSD, RMS SPL and 1/3-octave spectra. Results are interpreted with reference to IMO underwater radiated noise guidance and ISO 17208 methodology.

Hydrophone Data
Sync & CPA Analysis
Spectral Analysis
Underwater Noise Assessment
Spectrogram (0–20 kHz)dB re 1 µPa
Spectrogram of hydrophone recording, 0–20 kHz
Hydrophone SignalAmplitude (Pa)
+10-1
Time →

Vessel Passage Summary

Passages
65,000
Avg. CPA (mt)
500
Avg. Speed (kn)
10.2
Max. Range (m)
9,540
1/3-Octave PSD (dB re 1 µPa²/Hz)
20 Hz1.25 kHz20 kHz
20,000 DWT LNG-propelled oil tanker concept design

Design of a 20,000 DWT Oil Tanker Propelled by LNG

Full conceptual design project covering hull form, stability, cargo layout and LNG propulsion integration.

Concept DesignLNG Propulsion
Submarine CFD drag prediction across nose geometries

Drag Prediction of Submarine for Different Nose Shapes

Designed a submarine hull and used hull envelope equations with STAR-CCM+ to compare drag across alternative nose geometries.

STAR-CCM+CFD Analysis
Tugboat fuel monitoring software dashboard concept
Finalist

Smart India Hackathon 2022 · Fuel Monitoring Software for Tugboats

Built a Python-based solution during a 72-hour national hackathon to estimate tugboat fuel demand using bollard pull, power and operating conditions.

PythonData Analytics
Hull-form optimisation resistance analysis

National Student Research · Hull-Form Optimisation

Presented how hull-form optimisation can reduce resistance and drag, improve fuel efficiency, and support lower operating cost and emissions.

OptimisationReduced Resistance

Tools & Methods

MATLABPythonSTAR-CCM+AAutoCADMaxsurfRhinocerosANSYS FluentHydrophone + AISSpectrogramsPSDRMS SPL1/3-Octave Bands