Steffen Freitag

Steffen Freitag

Ruhr-Universität Bochum

H-index: 16

Europe-Germany

About Steffen Freitag

Steffen Freitag, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Ruhr-Universität Bochum, specializes in the field of Computational Intelligence, Uncertainty, Soft Computing, Structural Mechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A simulation-based software to support the real-time operational parameters selection of tunnel boring machines

Real-time estimation of the structural utilization level of segmental tunnel lining

NESTED OPTIMAL UNCERTAINTY QUANTIFICATION FOR AN EFFICIENT INCORPORATION OF RANDOM FIELDS− APPLICATION TO SHEET METAL FORMING

Physically enhanced training for modeling rate-independent plasticity with feedforward neural networks

Structural stress prediction based on deformations using artificial neural networks trained with artificial noise

Durability analysis and optimization of a prestressed concrete bridge strengthened by a fiber reinforced concrete layer

Interaction modeling in mechanized tunneling

TunAID-Interactive simulation-based tunnel track design tool for mechanized tunneling in urban areas

Steffen Freitag Information

University

Position

Institute for Structural Mechanics

Citations(all)

1016

Citations(since 2020)

634

Cited By

585

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

26

i10Index(since 2020)

21

Email

University Profile Page

Ruhr-Universität Bochum

Google Scholar

View Google Scholar Profile

Steffen Freitag Skills & Research Interests

Computational Intelligence

Uncertainty

Soft Computing

Structural Mechanics

Top articles of Steffen Freitag

Title

Journal

Author(s)

Publication Date

A simulation-based software to support the real-time operational parameters selection of tunnel boring machines

Underground Space

Yaman Zendaki

Ba Trung Cao

Abdullah Alsahly

Steffen Freitag

Günther Meschke

2024/2/1

Real-time estimation of the structural utilization level of segmental tunnel lining

Underground Space

Nicola Gottardi

Steffen Freitag

Günther Meschke

2024/1/26

NESTED OPTIMAL UNCERTAINTY QUANTIFICATION FOR AN EFFICIENT INCORPORATION OF RANDOM FIELDS− APPLICATION TO SHEET METAL FORMING

International Journal for Uncertainty Quantification

Niklas Miska

Steffen Freitag

Daniel Balzani

2024

Physically enhanced training for modeling rate-independent plasticity with feedforward neural networks

Computational Mechanics

Patrick Weber

Werner Wagner

Steffen Freitag

2023/10

Structural stress prediction based on deformations using artificial neural networks trained with artificial noise

PAMM

Nicola Gottardi

Steffen Freitag

Günther Meschke

2023/3

Durability analysis and optimization of a prestressed concrete bridge strengthened by a fiber reinforced concrete layer

S Schoen

P Edler

G Meschke

S Freitag

2023/6/28

Interaction modeling in mechanized tunneling

Günther Meschke

Rolf Breitenbücher

Steffen Freitag

Markus König

Markus Thewes

2023

TunAID-Interactive simulation-based tunnel track design tool for mechanized tunneling in urban areas

Y Zendaki

BT Cao

A Alsahly

S Freitag

G Meschke

2023/4/12

Bounding imprecise failure probabilities in structural mechanics based on maximum standard deviation

Structural Safety

Marc Fina

Celine Lauff

Matthias GR Faes

Marcos A Valdebenito

Werner Wagner

...

2023/3/1

Safety level assessment of segmental linings in rock

N Gottardi

S Freitag

G Meschke

2023/4/12

Publications-Journal Papers and Conference Contributions

Computer-Aided Civil and Infrastructure Engineering

Michelle IBS Koellner

2023

Artificial neural network surrogate modeling for uncertainty quantification and structural optimization of reinforced concrete structures

PAMM

Steffen Freitag

Philipp Edler

Stefanie Schoen

Günther Meschke

2023/12

Real-time simulation for steering the tunnel construction process

Ba Trung Cao

Lukas Heußner

Annika Jodehl

Markus Obel

Yara Salloum

...

2023/3/18

Structural Utilization Prediction for the Health Monitoring of Tunnel Linings by Means of an Artificial Neural Network Ensemble

STRUCTURAL HEALTH MONITORING 2023

NICOLA GOTTARDI

STEFFEN FREITAG

GUNTHER MESCHKE

2023

Surrogate modeling for interactive tunnel track design using the cut finite element method

Engineering with Computers

Hoang-Giang Bui

Ba-Trung Cao

Steffen Freitag

Klaus Hackl

Günther Meschke

2023/12

Digital Design in Mechanized Tunneling

Abdullah Alsahly

Hoang-Giang Bui

Lukas Heußner

Annika Jodehl

Rodolfo Javier Williams Moises

...

2023/3/18

Promoting Novel Strategies for the Reliability Assessment of Guided Wave Based SHM Systems

STRUCTURAL HEALTH MONITORING 2023

Vittorio Memmolo

Jochen Moll

Oliver Schackmann

Steffen Freitag

Anastasiia Volovikova

...

2023

Reliability based optimization of steel-fibre segmental tunnel linings subjected to thrust jack loadings

Engineering Structures

Gerrit E Neu

Philipp Edler

Steffen Freitag

Vladislav Gudžulić

Günther Meschke

2022/3/1

Real-time risk assessment of tunneling-induced building damage considering polymorphic uncertainty

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Ba Trung Cao

Markus Obel

Steffen Freitag

Lukas Heußner

Günther Meschke

...

2022/3/1

Reliability-based optimization of structural topologies using artificial neural networks

Probabilistic Engineering Mechanics

Steffen Freitag

Simon Peters

Philipp Edler

Günther Meschke

2022/10/1

See List of Professors in Steffen Freitag University(Ruhr-Universität Bochum)

Co-Authors

H-index: 77
Kok-Kwang Phoon

Kok-Kwang Phoon

Singapore University of Technology and Design

H-index: 46
Günther Meschke

Günther Meschke

Ruhr-Universität Bochum

H-index: 43
Michael Kaliske

Michael Kaliske

Technische Universität Dresden

H-index: 43
Michael Beer

Michael Beer

Leibniz Universität Hannover

H-index: 39
Werner Wagner

Werner Wagner

Karlsruher Institut für Technologie

H-index: 38
Katharina Morik

Katharina Morik

Technische Universität Dortmund

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