CourseCivil, Rail & Smart Cities Applications open

Course in Structural Monitoring of Infrastructure

Online course of 300 hours in structural health monitoring (SHM) of infrastructure, structured in 6 modules covering sensors, data acquisition, operational modal analysis, damage detection and asset management, with an assigned technical tutor.

Duration300 hours · 3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Define the objectives of a structural health monitoring system.

02

Select the appropriate sensors for each parameter.

03

Configure acquisition and communication systems.

04

Apply operational modal analysis to real data.

05

Detect damage using statistical and machine learning techniques.

06

Integrate monitoring into asset management.

07

Design a complete SHM system for an infrastructure asset.

Profile

Who it's for

  • Structural monitoring engineers looking to deepen their expertise in SHM for infrastructure.
  • Instrumentation specialists moving into structural applications.
  • Structural data analysts working with sensor data from bridges and tunnels.
  • Infrastructure asset management engineers.
  • Bridge inspection technicians who want to add continuous monitoring to their toolkit.
  • Digital twin consultants.
  • Engineering or science graduates seeking to enter the road infrastructure sector.
Standards & tools

What you'll work with

  • ISO 16587 (performance parameters for condition monitoring of structures)
  • ISO 18649 (evaluation of results from dynamic tests on bridges)
  • ISO 4866 (measurement and evaluation of vibration effects on fixed structures)
  • EN 1990 (Eurocode: basis of structural design)
  • ISO 13822 (assessment of existing structures)
  • ISO 55001 (asset management systems)
  • ARTeMIS Modal
  • MATLAB
  • SAP2000
  • Python with pandas
  • Grafana
Syllabus

6 modules

  1. 1.1Objectives of an SHM system
  2. 1.2Damage detection levels
  3. 1.3Monitorable structural parameters
  4. 1.4Static and dynamic monitoring
  5. 1.5Continuous versus periodic monitoring
  6. 1.6Architecture of an SHM system
  7. 1.7Integration with asset management
  8. 1.8Experience with bridges and tunnels
  9. 1.9Costs and benefits of monitoring
  10. 1.10Case study: SHM requirements for a viaduct
  1. 2.1Strain gauges
  2. 2.2FBG fibre-optic sensors
  3. 2.3Distributed fibre optics
  4. 2.4MEMS and piezoelectric accelerometers
  5. 2.5Inclinometers and extensometers
  6. 2.6Corrosion sensors
  7. 2.7Temperature and humidity sensors
  8. 2.8GNSS and interferometric radar
  9. 2.9Sensor installation and protection
  10. 2.10Lab: installing strain gauges on a beam
  1. 3.1Acquisition systems
  2. 3.2Sampling and synchronisation
  3. 3.3Wireless sensor networks
  4. 3.4Power supply and energy autonomy
  5. 3.5Transmission and cloud storage
  6. 3.6Data quality and cleansing
  7. 3.7Compensation of thermal effects
  8. 3.8System cybersecurity
  9. 3.9Visualisation platforms
  10. 3.10Practical exercise: configuring an acquisition system
  1. 4.1Operational modal analysis
  2. 4.2Identification of natural frequencies
  3. 4.3Tracking of modal parameters
  4. 4.4Statistical anomaly detection
  5. 4.5Machine learning in SHM
  6. 4.6Finite element model updating
  7. 4.7Thresholds and alarm systems
  8. 4.8Environmental and operational influences
  9. 4.9Remaining life prognosis
  10. 4.10Lab: operational modal analysis with real data
  1. 5.1Integration with visual inspection
  2. 5.2Monitoring plans
  3. 5.3Digital twins of infrastructure
  4. 5.4Prioritisation of interventions
  5. 5.5Structural safety assessment
  6. 5.6Protocols for extreme events
  7. 5.7Reports for the asset manager
  8. 5.8Maintenance of the SHM system
  9. 5.9Procurement of systems
  10. 5.10Case study: alarm on a bridge after a flood
  1. 6.1Selection of the infrastructure
  2. 6.2Monitoring objectives
  3. 6.3Sensor network design
  4. 6.4Proposed acquisition system
  5. 6.5Data analysis strategy
  6. 6.6Alarm thresholds and protocols
  7. 6.7Budget and maintenance
  8. 6.8Implementation plan
  9. 6.9Report and presentation
  10. 6.10Final project: final review with your tutor
Methodology, software & labs

How you'll learn

Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is ARTeMIS Modal, MATLAB, SAP2000, Python with pandas and Grafana, in free, academic or evaluation versions. Tests are studied on real procedures such as operational modal analysis of bridges, installation of fibre-optic sensors and deformation monitoring in tunnels. Assessment is continuous by module, plus the final project.

Standards covered: ISO 16587, ISO 18649, ISO 4866, EN 1990, ISO 13822, ISO 55001.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 16587, ISO 18649 and ISO 4866 applied to real cases, not as a theoretical annex.
Industry software:ARTeMIS Modal, MATLAB, SAP2000, Python with pandas and Grafana, in free, academic or evaluation versions.
Final project:a complete structural monitoring design for a real infrastructure asset, from sensor network to alarm protocols, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Define monitoring requirements
Set the SHM objectives and parameters to monitor for a viaduct or similar asset.
Design the sensor network
Select and position strain gauges, fibre-optic sensors and accelerometers.
Configure data acquisition
Specify sampling, synchronisation, transmission and data quality controls.
Analyse structural data
Apply operational modal analysis and anomaly detection to set alarm thresholds.
Final project
A complete SHM system design with budget, maintenance and implementation plan, reviewed by your tutor.
Career opportunities

Where this takes you

Structural monitoring engineerInstrumentation specialistStructural data analystInfrastructure management engineerBridge inspection technicianDigital twin consultant
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with ARTeMIS Modal, MATLAB, SAP2000, Python with pandas and Grafana, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required; you need a computer able to run the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

Course in Structural Monitoring of InfrastructureEnrol
Scroll to Top
SEIUM – Institute of Advanced Engineering
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.