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Halmonds University Center For Management Studies,
W. C /7A, Near Poornima Tower, North Shankarsheth Road, Pune. Maharashtra-411042, India.

+91 9778313343

128 City Road, London, EC1V 2NX,
United Kingdom.

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M.Tech in Structural Engineering

Semester-wise syllabus for an M.Tech in Structural Engineering

 

Semester 1:

Core Foundations

Courses:

1. Advanced Structural Analysis 

   - Matrix methods, finite element analysis (FEA), dynamic analysis, plasticity, and stability. 

2. Design of Reinforced Concrete Structures 

   - IS code-based design, ductility, seismic detailing, and advanced RCC elements (flat slabs, shear walls). 

3. Structural Dynamics and Earthquake Engineering

   - Response spectra, base isolation, soil-structure interaction, and seismic retrofitting. 

4. Advanced Mathematics for Structural Engineering

   - Numerical methods, optimization techniques, and probability-based reliability analysis. 

5. Research Methodology 

   - Technical writing, literature review, and statistical tools (MATLAB/Python). 

Labs:

- Structural Analysis Lab (STAAD.Pro, ETABS, SAP2000) 

- Concrete Technology Lab (mix design, non-destructive testing) 

 

Semester 2:

 Specialization & Electives 

Core Courses:

1. Design of Steel Structures 

   - IS 800:2007, plastic design, composite structures, and tubular sections. 

2. Finite Element Methods (FEM) 

   - Modeling techniques, meshing, nonlinear analysis (ANSYS/ABAQUS). 

Electives (Examples):

- Bridge Engineering(design, inspection, retrofitting) 

- Pre-stressed and Precast Concrete

- Offshore and Coastal Structures 

- Structural Health Monitoring (sensors, IoT, vibration analysis) 

- Sustainable Construction Materials (green concrete, FRP composites) 

Labs: 

- FEM Simulation Lab (ANSYS, ABAQUS) 

- Steel Structure Design Lab (STAAD.Pro, Tekla Structures) 

 

Semester 3:

Advanced Electives & Project Work 

Electives (Examples): 

- Advanced Earthquake Engineering (performance-based design) 

- Tall Building Design (wind loads, damping systems) 

- Disaster-Resilient Infrastructure 

- AI/ML in Structural Engineering (predictive maintenance, optimization) 

- Retrofitting of Historical Structures

Project/Dissertation: 

- Phase 1: Topic selection (e.g., seismic retrofitting of bridges, sustainable material development), literature review, and proposal. 

- Seminars: Presentations on trends like smart materials, 3D-printed structures, or BIM integration. 

 

Semester 4: Thesis/Project Completion 

Thesis/Project:

- Full-time focus on simulations, experimental testing (e.g., load testing, material analysis), or field studies. 

- Final documentation, viva voce defense, and potential collaboration with industry/government agencies. 

Additional Components:

- Industrial Internship (optional, with construction firms, consultancies, or PWD). 

- Workshops: Training in tools like Revit, AutoCAD Civil 3D, or BIM software. 

 

Elective Tracks (Specializations): 

1. Earthquake Engineering 

   - Seismic design codes, base isolation, energy dissipation devices. 

2. Advanced Structural Materials 

   - High-performance concrete, FRP composites, self-healing materials. 

3. Infrastructure Engineering 

   - Bridge/tunnel design, highway structures, smart infrastructure. 

4. Computational Mechanics 

   - Nonlinear FEA, machine learning for structural optimization.