Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Marcin Jasiński

Assistant Professor

Silesian University of Technology
Country flagPoland

Research Interests

Explore related searches

Articles (10)

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

The paper sheds light on the process of creating and validating the digital twin of bridges, emphasizing the crucial role of load testing, BIM models, and FEM models. At first, the paper presents a comprehensive definition of the digital twin concept, outlining its core principles and features. Then, the framework for implementing the digital twin concept in bridge facilities is discussed, highlighting its potential applications and benefits. One of the crucial components highlighted is the role of load testing in the validation and updating of the FEM model for further use in the digital twin framework. Load testing is emphasized as a key step in ensuring the accuracy and reliability of the digital twin, as it allows the validation and refinement of its models. To illustrate the practical application and issues during tuning and validating the FEM model, the paper provides an example of a real bridge. It shows how a BIM model is utilized to generate a computational FEM model. The results of the load tests carried out on the bridge are discussed, demonstrating the importance of the data obtained from these tests in calibrating the FEM model, which forms a critical part of the digital twin framework.

Year:

2023

Year:

2023

Collaborators (3)

Dawid Piotrowski

Silesian University of Technology

POLAND
View details

Stefan Pradelok

Lecturer

Silesian University of Technology

POLAND
View details

Grzegorz Poprawa

Assistant professor

AGH University of Science and Technology

POLAND
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.