| A software framework for probabilistic sensitivity analysis for computationally expensive models N Vu-Bac, T Lahmer, X Zhuang, T Nguyen-Thoi, T Rabczuk Advances in Engineering Software 100, 19-31, 2016 | 597 | 2016 |
| Detection of material interfaces using a regularized level set method in piezoelectric structures SS Nanthakumar, T Lahmer, X Zhuang, G Zi, T Rabczuk Inverse Problems in Science and Engineering 24 (1), 153-176, 2016 | 243 | 2016 |
| Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters N Vu-Bac, R Rafiee, X Zhuang, T Lahmer, T Rabczuk Composites Part B: Engineering 68, 446-464, 2015 | 226 | 2015 |
| A unified framework for stochastic predictions of mechanical properties of polymeric nanocomposites N Vu-Bac, M Silani, T Lahmer, X Zhuang, T Rabczuk Computational Materials Science 96, 520-535, 2015 | 165 | 2015 |
| A NURBS-based inverse analysis for reconstruction of nonlinear deformations of thin shell structures N Vu-Bac, TX Duong, T Lahmer, X Zhuang, RA Sauer, HS Park, ... Computer Methods in Applied Mechanics and Engineering 331, 427-455, 2018 | 162 | 2018 |
| Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs) N Vu-Bac, T Lahmer, Y Zhang, X Zhuang, T Rabczuk Composites Part B: Engineering 59, 80-95, 2014 | 151 | 2014 |
| Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations N Vu-Bac, T Lahmer, H Keitel, J Zhao, X Zhuang, T Rabczuk Mechanics of Materials 68, 70-84, 2014 | 144 | 2014 |
| Predicting the fracture toughness of PNCs: A stochastic approach based on ANN and ANFIS KM Hamdia, T Lahmer, T Nguyen-Thoi, T Rabczuk Computational Materials Science 102, 304-313, 2015 | 116 | 2015 |
| Detection of flaws in piezoelectric structures using extended FEM SS Nanthakumar, T Lahmer, T Rabczuk International Journal for Numerical Methods in Engineering 96 (6), 373-389, 2013 | 115 | 2013 |
| A review on application of soft computing techniques for the rapid visual safety evaluation and damage classification of existing buildings E Harirchian, SEA Hosseini, K Jadhav, V Kumari, S Rasulzade, E Işık, ... Journal of Building Engineering 43, 102536, 2021 | 111 | 2021 |
| Characterization of material properties and heat source parameters in welding simulation of two overlapping beads on a substrate plate S Joshi, J Hildebrand, AS Aloraier, T Rabczuk Computational Materials Science 69, 559-565, 2013 | 108 | 2013 |
| Detection of multiple flaws in piezoelectric structures using XFEM and level sets SS Nanthakumar, T Lahmer, T Rabczuk Computer Methods in applied Mechanics and engineering 275, 98-112, 2014 | 90 | 2014 |
| FEM-based determination of real and complex elastic, dielectric, and piezoelectric moduli in piezoceramic materials T Lahmer, M Kaltenbacher, B Kaltenbacher, R Lerch, E Leder IEEE transactions on ultrasonics, ferroelectrics, and frequency control 55 …, 2008 | 88 | 2008 |
| Topology optimization of piezoelectric nanostructures SS Nanthakumar, T Lahmer, X Zhuang, HS Park, T Rabczuk Journal of the Mechanics and Physics of Solids 94, 316-335, 2016 | 85 | 2016 |
| Extended finite element method for dynamic fracture of piezo-electric materials H Nguyen-Vinh, I Bakar, MA Msekh, JH Song, J Muthu, G Zi, P Le, ... Engineering Fracture Mechanics 92, 19-31, 2012 | 77 | 2012 |
| Developing a hierarchical type-2 fuzzy logic model to improve rapid evaluation of earthquake hazard safety of existing buildings E Harirchian, T Lahmer Structures 28, 1384-1399, 2020 | 65 | 2020 |
| A machine learning framework for assessing seismic hazard safety of reinforced concrete buildings E Harirchian, V Kumari, K Jadhav, R Raj Das, S Rasulzade, T Lahmer Applied Sciences 10 (20), 7153, 2020 | 61 | 2020 |
| PDE based determination of piezoelectric material tensors B Kaltenbacher, T Lahmer, M Mohr, M Kaltenbacher European Journal of Applied Mathematics 17 (4), 383-416, 2006 | 59 | 2006 |
| Prediction of aeroelastic response of bridge decks using artificial neural networks T Abbas, I Kavrakov, G Morgenthal, T Lahmer Computers & Structures 231, 106198, 2020 | 58 | 2020 |
| A synthesized study based on machine learning approaches for rapid classifying earthquake damage grades to RC buildings E Harirchian, V Kumari, K Jadhav, S Rasulzade, T Lahmer, R Raj Das Applied Sciences 11 (16), 7540, 2021 | 56 | 2021 |
Timon RabczukBauhaus University WeimarVerified email at uni-weimar.de
