丹麦科技大学

Diagnosis and Prognosis of Fatigue Damage in Steel Structures using Multi-Fidelity Models and Virtual Sensing

项目介绍

The Section for Structures and Safety at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years to the diagnosis and prognosis of fatigue damage in steel structures, with emphasis on steel bridges. 

Over the past century, steel has been the backbone of structures and infrastructures. Much of this built stock is reaching or has exceeded its design lifetime while being exposed to harsher operational conditions than originally designed for. Fatigue, where repetitive loads initiate and propagate cracks, is a key challenge in this aging era, undermining the functionality, safety and longevity of critical steel infrastructure. There is an urgent need to advance monitoring, diagnosis and prognosis methods that can reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions.

Through this PhD scholarship, you will contribute to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group’s established expertise in virtual sensing and multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies aimed at stress relaxation in fatigue-prone areas, minimizing material consumption and maximizing structural efficiency. The diagnostic and prognostic capabilities of the developed framework can be verified through simulated and/or laboratory-generated data.

Responsibilities and qualifications
Your primary responsibilities and tasks include:

  • Development and advancement of multi-fidelity finite element models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods
  • Load and stress estimation using virtual sensing techniques (e.g., Kalman Filters) combined with multi-nature sensing data from optimally chosen locations
  • Development and application of advanced fracture mechanics models for crack initiation, growth simulation and remaining fatigue life prediction
  • Exploration of fatigue mitigation strategies for stress relaxation at fatigue-prone locations, with focus on material efficiency
  • Integration of the above components into a coherent diagnostic and prognostic framework
  • Preparation of scientific publications and effective presentation of research findings at international conferences and workshops
  • Support of relevant teaching activities at DTU’s Civil and Mechanical Engineering Department
  • Co-supervision of BSc and MSc projects complementary to this PhD project

Candidate Profile
You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree. 

You should be a motivated candidate with a background in Civil or Mechanical Engineering or other related engineering fields. Additionally, you should be equipped with the following qualifications and technical skills:

  • Solid background in Structural Dynamics and Finite Element Modelling.
  • Knowledge of or strong interest in Fracture Mechanics and fatigue analysis.
  • Experience in coding (e.g., Python) and in the use of structural analysis software (e.g., Abaqus, OpenSees) is desirable.
  • Familiarity with virtual sensing techniques, state estimation methods or Kalman Filters is advantageous.
  • Ability to work independently and take initiative in planning and executing computational research.
  • Creative, innovative and driven by scientific curiosity.
  • Willingness to join secondments in academic and/or industrial environments.
  • Effective communication and teamwork abilities, with a commitment to contributing to interdisciplinary research and collaborative projects.
  • Fluent in written and spoken English.

Approval and Enrolment 
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU’s rules for the PhD education

Assessment
The assessment of the applicants will be undertaken by the members of the supervisory team embracing this PhD scholarship.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. 

The period of employment is 3 years. The expected starting date for the PhD scholarship is 1 November 2026 or according to mutual agreement. The position is a full-time position.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Evangelos Katsanos from DTU – Department of Civil and Mechanical Engineering at vakat@dtu.dk.

You can read more about Department of Civil and Mechanical Engineering at https://construct.dtu.dk/.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 

Application procedure 
Your complete online application must be submitted no later than 2 September 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply now”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae 
  • Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
  • List of Publications (if any)
  • Evidence of English proficiency.
  • Any additional material useful for the assessment of your application (e.g., recommendation letters, research project/statement in agreement with the requirements specified above).

You may apply prior to ob­tai­ning your master’s degree but cannot begin before having received it. 

项目概览

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北欧, 丹麦 所在地点
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截止日期 2026-09-02
丹麦科技大学

院校简介

丹麦技术大学坐落于北欧丹麦王国-哥本哈根大区,由著名物理学家奥斯特于1829年创建。
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