B.Tech in Computational Mechanics semester-wise syllabus:

 

Year 1: Foundation in Engineering & Mathematics

Semester 1

1. Mathematics-I: Calculus, Linear Algebra

2. Engineering Physics: Mechanics, Thermodynamics

3. Programming Fundamentals: Python/MATLAB Basics

4. Engineering Graphics & CAD (AutoCAD/SolidWorks)

5. Introduction to Mechanics: Statics, Dynamics

6. Lab: Basic Programming, CAD Design

 

Semester 2

1. Mathematics-II: Differential Equations, Probability

2. Material Science: Metals, Composites, Polymers

3. Digital Logic & Microcontrollers (Arduino/Raspberry Pi)

4. Environmental Science

5. Mechanics of Materials: Stress, Strain, Elasticity

6. Lab: Material Testing, Microcontroller Projects

 

Year 2: Core Mechanics & Computational Basics

Semester 3

1. Numerical Methods: Linear Algebra Solvers, ODE/PDE Discretization

2. Finite Element Analysis (FEA): Basics, 1D/2D Element Formulation

3. Thermodynamics & Heat Transfer: Conduction, Convection

4. Fluid Mechanics: Navier-Stokes Equations, Turbulence

5. Object-Oriented Programming (C++/Java)

6. Lab: FEA Simulations (ANSYS/ABAQUS), CFD Basics

 

Semester 4

1. Advanced FEA: 3D Elements, Nonlinear Analysis (Plasticity, Contact)

2. Computational Fluid Dynamics (CFD): Finite Volume Method, Turbulence Modeling

3. Structural Dynamics: Vibration, Modal Analysis

4. Optimization Techniques: Gradient-Based, Genetic Algorithms

5. Elective-I: Introduction to Biomechanics / Aerospace Structures

6. Lab: CFD Simulations (OpenFOAM/COMSOL), Structural Vibration Testing

 

Year 3: Advanced Computational Techniques

Semester 5

1. Nonlinear Mechanics: Hyperelasticity, Fracture Mechanics

2. Multiphysics Modeling: Fluid-Structure Interaction (FSI), Thermo-Mechanics

3. High-Performance Computing (HPC): Parallel Processing, GPU Acceleration

4. Elective-II: Machine Learning for Mechanics / Additive Manufacturing

5. Elective-III: Composite Materials / Crashworthiness Analysis

6. Lab: Multiphysics Simulations (COMSOL), ML-Driven Material Design

 

Semester 6

1. Probabilistic Mechanics: Uncertainty Quantification, Monte Carlo Methods

2. Computational Geometry: Mesh Generation, Isogeometric Analysis

3. AI in Mechanics: Neural Networks for Inverse Problems, Surrogate Models

4. Elective-IV: Biomechanical Modeling / Automotive Crash Simulation

5. Elective-V: Quantum Mechanics Simulations / Digital Twins

6. Lab: Uncertainty Analysis, AI-Based Predictive Modeling

 

Year 4: Specialization & Industry Integration

Semester 7

1. Advanced Topics: Molecular Dynamics, Topology Optimization

2. Computational Software Development: Building Custom Solvers (Python/C++)

3. Elective-VI: Energy Systems Modeling / Robotics Dynamics

4. Elective-VII: Computational Geomechanics / Nanomechanics

5. Capstone Project-I: Industry/Research Problem

6. Internship: Automotive, Aerospace, or R&D Labs

 

Semester 8

1. Ethics & Standards: Data Privacy, Validation & Verification (V&V)

2. Project Management: Agile, Computational Workflow Design

3. Emerging Trends: AI-Driven Digital Twins, Quantum Computing in Mechanics

4. Capstone Project-II: Prototype Development

5. Seminar/Technical Paper Presentation

 

Electives (Sample Options): 

- Biomechanics: Bone/Soft Tissue Modeling, Prosthetics Design 

- Aerospace: Hypersonic Flow Simulation, Composite Wing Analysis 

- Automotive: Crashworthiness, Battery Thermal Management 

- Energy Systems: Wind Turbine Dynamics, Nuclear Reactor Modeling 

- Materials Science: Phase Field Modeling, Crystal Plasticity 

Key Labs & Tools: 

- Software: ANSYS, ABAQUS, COMSOL, OpenFOAM, LS-DYNA 

- Programming: Python, MATLAB, C++, Julia 

- ML Frameworks: TensorFlow, PyTorch, Scikit-learn 

- HPC Tools: MPI, CUDA, Slurm Cluster Management 

- Experimental Validation: 3D Printing, Digital Image Correlation (DIC) 

 

Capstone Projects:

- AI-Optimized Bridge Design: Minimizing material use while ensuring safety. 

- Battery Thermal Management System: CFD for electric vehicle batteries. 

- Prosthetic Limb Simulation: Biomechanical modeling for improved ergonomics. 

- Hypersonic Vehicle Aerodynamics: CFD for re-entry vehicle design.