Department of Civil Engineering

Structural engineering, mechanics and computation

We investigate the performance of different structures and construction materials and develop solutions for smart, resilient, and sustainable civil engineering structures.

As a multidisciplinary group of research teams, we holistically tackle today’s challenges (e.g., sustainable development) that are connected to our built environment by contributing our expertise in theoretical and applied research to innovative solutions, based on analytical, experimental, and computational methods. Research teams in this focus area collaborate nationally and internationally with academic, industrial, and other societal partners.

Experimental Evaluation of Load Transfer Mechanisms in Steel Truss Bridges under Varied Damage Scenarios

Pramod Acharya, Rui Hao, Yangqing Liu, Weiwei Lin 2026 Journal of Bridge Engineering

Identifying Critical Category Combinations of Bridge Cables at Risk of Internal Resonances Using Data Mining Technology

Kefan Chen, Wei Hou, Zhenkun Li, Xiangwei Ren, Weiwei Lin 2026 Journal of Bridge Engineering

Asymptotic homogenisation for strain gradient elasticity : convergence, regularisation and lattice applications

Seyyed Bahram Hosseini, Jarkko Niiranen 2026 Engineering with Computers

Parametric modelling of a hybrid timber-earth floor slab for structural and fire safety requirements

Sandra Hurek, Patrick Fleming 2026 Architecture, Structures and Construction

Empirical physics-informed neural networks for prediction of concrete strength using nondestructive testing

Nadeem Iqbal, Mohamed Noureldin 2026 Asian Journal of Civil Engineering

Triangular lattice metamaterials in curved beam structures : Free vibration analysis with strain gradient beam models

Zeinab Soleimani Javid, Jarkko Niiranen 2026 International Journal of Solids and Structures

igUEL-SGE-solid: Abaqus user element (UEL) implementation for isogeometric analysis of strain-gradient-elastic solids

Sergei Khakalo, Viacheslav Balobanov, Jarkko Niiranen 2026 SoftwareX

Intelligent Control of Semi-Active Friction Dampers for Seismic Control of Buildings : A Deep Reinforcement Learning Approach

Mert Can Kurucu, Ercan Atam, Masoum M. Gharagoz, Mohamed Noureldin, Ibrahim Eksin, Mujde Guzelkaya 2026 IEEE Transactions on Emerging Topics in Computational Intelligence