Tom Lahmer

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	Toate	Din 2019
Referințe bibliografice	4258	3141
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Timon RabczukBauhaus University WeimarAdresă de e-mail confirmată pe uni-weimar.de
Xiaoying ZhuangERC Project Awardee, Leibniz University HanoverAdresă de e-mail confirmată pe iop.uni-hannover.de
Carsten KönkeProfessor für Baustatik und Bauteilfestigkeit, Bauhaus-Universität WeimarAdresă de e-mail confirmată pe uni-weimar.de
Guido MorgenthalBauhaus-Universität WeimarAdresă de e-mail confirmată pe uni-weimar.de
Nguyen-Thoi TrungInstitute for Computational Science and Artificial Intelligence, Van Lang University, VietnamAdresă de e-mail confirmată pe vlu.edu.vn
Goangseup ZiSchool of Civil, Environmental, Architectural Engineering, Korea UniversityAdresă de e-mail confirmată pe korea.ac.kr
Harold S ParkProfessor of Mechanical Engineering, Boston UniversityAdresă de e-mail confirmată pe bu.edu
Maria DatchevaInstitute of Mechanics, Bulgarian Academy of SciencesAdresă de e-mail confirmată pe imbm.bas.bg
Tom SchanzLehrstuhl für Grundbau, Boden- und Felsmechanik, Ruhr-Universität Bochum, GermanyAdresă de e-mail confirmată pe rub.de
Khader HamdiaLeibniz Universität HannoverAdresă de e-mail confirmată pe ikm.uni-hannover.de
STÉPHANE Pierre Alain BORDASProf. of Computational Mechanics, U. of LuxembourgAdresă de e-mail confirmată pe alum.northwestern.edu
Mohammed MsekhAdresă de e-mail confirmată pe msekh.com
Roham RafieeFull Professor of Mech. Eng., University of TehranAdresă de e-mail confirmată pe ut.ac.ir
Mohammad SilaniDepartment of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, IranAdresă de e-mail confirmată pe cc.iut.ac.ir
L.A.A. BeexUniversity of LuxembourgAdresă de e-mail confirmată pe uni.lu
Volker SchulzUniversity of TrierAdresă de e-mail confirmată pe uni-trier.de
Binod KafleChristian-Albrechts-University of KielAdresă de e-mail confirmată pe ifg.uni-kiel.de
Kay SmarslyProfessor of Civil Engineering, Hamburg University of TechnologyAdresă de e-mail confirmată pe tuhh.de
Dr.-Ing. Shahram Ghorashi

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Tom Lahmer

Professor for Stochastics and Optimization @ Bauhaus University Weimar

Adresă de e-mail confirmată pe uni-weimar.de - Pagina de pornire

Stochastics Optimization Inverse Problems Civil-Engineering Mechatronics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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

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