chongjie kang

Academic Staff, Deputy Head of Chair

TUD Dresden University of Technology

Germany

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Dr. Chongjie Kang serves as the Deputy Head of Chair at TUD Dresden University of Technology in Germany. His research interests include the elastic properties of carbon fiber reinforced polymers, load-displacement predictions for concrete structures, and failure mechanics in construction systems. Dr. Kang has published extensively on various topics, including analytical models for concrete structures and the bond performance of hybrid connections in reinforced concrete.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

Collaborators (3)

Martin Classen

Professor - Director/ Head of Institute

RWTH Aachen University

GERMANY

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Marco Liebscher

apl. Prof. Dr.-Ing.

Technische Universität Dresden

GERMANY

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Eirini Ntoutsi

Bundeswehr University Munich

GERMANY

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chongjie kang

Research Interests

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Articles (10)

Experimental investigation on the bond performance of a hybrid lap-spliced connection of GFRP and stainless steel bars in concrete

Prediction of the elastic properties and strength of unidirectional carbon fiber reinforced polymers based on representative volume element simulation

Enhancing load-displacement response predictions for concrete beams strengthened with prestressed near-surface mounted FRPs via transfer learning

Investigation on failure mechanics of rail-fastener-ballastless system under the action of girder dislocation induced by earthquake

Historical development of ballastless track systems in Germany

A novel dataset and feature selection for data-driven conceptual design of offshore jacket substructures

Development of a new analytical model for circular concrete ring segments with dry joints under combined effects

Development of a new analytical model for circular concrete ring segments with dry joints under combined effects

Experimental and analytical study on the load-bearing capacity of segmented tower structures with dry joints under combined loading

Modifying the dead load partial factor of the Nibelungen Bridge based on 3D measurements

Collaborators (3)

Martin Classen

Marco Liebscher

Eirini Ntoutsi

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