Graduation Internship | Damage localization of a vessel using iFEM and deep learning

TNO; Delft; On-site; EUR 6,900 - 7,800; Full time

Benefits offered by this job

615 EUR monthly internship allowance

Jong TNO membership

Travel expense contribution

8 hours leave per month

Job summary

TNO invites motivated students in civil/marine/aerospace engineering to join a research internship focused on Structural Health Monitoring for naval applications. You will develop iFEM tooling to reconstruct displacement and stress fields, and explore ML approaches to identify damage locations under extreme loading.

Collaboration with the Naval and Offshore Structures Department is expected. The project combines literature, numerical analysis, and software development in Python, Abaqus/Ansys,

Qualifications

• Experience with finite element modelling (Abaqus/Ansys or similar).
• Interest in ship structures, numerical simulations and AI.
• Basic programming skills in Python.

Responsibilities

• Investigate and develop how structural damage can be localized after extreme loading.
• Develop iFEM tooling to reconstruct displacement and stress fields.
• Develop and validate a Deep Neural Network or ML method to identify damage locations.
• Validate the developed tooling and assess limitations of iFEM for SHM.
• Contribute to broader SHM research for maritime applications.

Skills

Numerical simulations

Python programming

Machine learning basics

Education

Civil/Marine/Aerospace engineering (final year)

Tools

Abaqus

Ansys

Job description

About this positionStructural Health Monitoring (SHM) is a continuous process of damage identification strategies and can be used for condition monitoring of a navy vessel. Knowing the structural condition of a navy vessel is important to maximize the operability of the vessel. For vessels, damage prognostics after an extreme event like a blast is even important but significantly more complex. Recently Inverse FEM combined with AI techniques has emerged as a potential technology to help with this and be able to identify, localize and assess the damage after any extreme military threat. Inverse Finite Element Method (iFEM) is a shape and stress-sensing technique to reconstruct the displacement field using a limited number of sensors. To apply this approach, iFEM combined with an AI model needs to be developed, trained and validated. This work will be done in collaboration with and under the guidance of TNO Naval and Offshore Structure Department. There is also the possibility of combining this with an internship.What will be your role?During this graduation internship, you will investigate and develop how structural damage can be localized after an extreme accidental load. You will develop iFEM tooling to reconstruct displacement and stress/strain fields for loading condition and geometry. Developing and validating a Deep Neural Network or other machine learning method to identify the damage locations. You will combine literature research with calculations and numerical analyses, using tools such as Python and finite element software.Your task will include:Implemented iFEM tool for navy applications be able to reconstruct displacement and stress/strain fields for a loading condition for a given geometry.Developing Deep Neural Network (DNN) or another machine learning method to identify the damage location.Validating the developed tooling.Potentially, identify the limitations of iFEM for SHM considering noise.Potentially, developing tool to assess remain strength.Through your work, you will contribute to a larger development of investigating how monitoring implemented can improve operations, support long-term ambition of decision-making SHM for Maritime and offshore structures. You will learn how to implement and improve state-of-the-art technology for maritime and offshore applications and how to adopt technology from other fields into the maritime domain.What we expect from youWe are looking for a student with a background in maritime engineering, mechanical engineering, civil engineering, aerospace engineering or a similar technical degree. You have an interest in ship structures, numerical simulations and artificial intelligence. You are curious and able to work independently within a multidisciplinary environment.Desired experience:Experience with finite element modelling (e.g. Abaqus, Ansys or similar software).Experience or knowledge in developing and validating ML techniques.Knowledge of strength of materials, structural mechanics and dynamics.Basic programming skills (Python).You are in the final stage of your degree in civil engineering, marine engineering or aerospace engineering (or a similar degree).What you'll get in returnAn internship at TNO means working in an environment where substance and impact are central. You will become part of a knowledge organisation where research and practice come together, and where experts collaborate on solutions to current societal and technological challenges.Your internship is a period in which you can discover what suits you, where your strengths lie and what you would like to learn next. You are part of a professional working environment, gain insight into how things work in practice, and have the opportunity to build experience that goes beyond this internship alone. For many students, an internship is therefore also a first step in discovering whether TNO could be a potential next step after graduation.In addition, we offer you:A professional and innovative internship environment in which you actively contribute to societal and technological challenges, working alongside leading experts in your field.Personal and dedicated supervision, with focus on your learning objectives, development and study assignment.Room to develop: you gain relevant work experience, develop both your subject‑specific and professional skills, and build a valuable network.Use of a laptop and the facilities you need to perform your work effectively.A monthly internship allowance of € 615 for a full-time internship, for MSc, BSc and vocational education (MBO) students.Up to eight hours of leave per internship month for a full-time internship, allowing you to balance your internship with your studies and personal life.A contribution towards travel expenses if you are not entitled to a student travel card.A free membership to Jong TNO: the network for young colleagues, where you can meet other TNO colleagues and participate in sports activities, professional and personal development activities, and social events such as the annual ski trip.TNO as an employerOur people are at the heart of TNO. Their curiosity, expertise and entrepreneurial mindset make it possible to deliver high-impact research and innovations that contribute to society’s sustainable wellbeing and prosperity. That is why we invest in an inspiring and inclusive working environment where colleagues can excel, have autonomy and continue to grow.Your talent and ambition have every opportunity to flourish at TNO. You work with experts (both within and beyond TNO), have access to advanced technology and the freedom to explore, experiment and innovate. Our strength lies in independence, reliability and collaboration. We find each other in wonder and ingenuity. We are driven to push boundaries. By working with businesses and government, and by connecting different perspectives, we strengthen our innovative capability and create responsible, meaningful results.At TNO, we believe this is our time to help society, government and business move forward faster. Together with driven colleagues, you turn knowledge into concrete innovations or ventures that truly make a difference by combining the power of science and entrepreneurship. And in doing so, you make your mark on our time.Has this job opening sparked your interest?Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘