Structural Analysis and Dynamics

Dipl.-Ing. Konstantin Goldschmidt

Bldg. 14
Room 549
Phone: +49 631 205-2932
Fax: +49 631 205-3901
E-Mail: konstantin.goldschmidt(at)bauing.uni-kl.de


Training

2010-2016

Civil and Structural Engineering at Technical University of Kaiserslautern, Degree Dipl.-Ing.


Career

10/2014 - 02/2017

Student Assistant at IG Bauplan GmbH, Kaiserslautern

 

Since 2018

Research Assistant at the Institute of Structural Analysis and Dynamics

 


Publications

2022

Goldschmidt, K., Mohtasham Miavaghi, M., H. Sadegh-Azar, H.; Long Short-Term Memory Networks for prediction of earthquake demand parameter time series in seismic fragility analysis, 3rd European Conference on Earthquake Engineering & Seismology, Bucharest, Romania, 2022

Zentner, I., Pagani, M., Bazzurro, P, Sadegh-Azar, H., Goldschmidt, K., Sevbo, O., Senfaute, G., Nistor, I., Jones, R.: Challenges and innovation in tools and methods for seismic risk assessment of NPP addressed by METIS project, SMiRT 26th International Conference on Structural Mechanics in Reactor Technology , Potsdam, 2022

Goldschmidt, K., Sadegh-Azar, H., Sevbo, O., Richard, B., A. Garcia de Quevedo Iñarritu, P., Bazzurro, P., Vamvatsikos, D.: Innovative approaches for Seismic Fragility Analysis within METIS project, SMiRT 26th International Conference on Structural Mechanics in Reactor Technology , Potsdam, 2022

Goldschmidt, K., H. Sadegh-Azar, H., Mohtasham Miavaghi, M.,: Relevant intensity measures for seismic damage prediction with artificial neural networks; SMiRT 26th International Conference on Structural Mechanics in Reactor Technology , Potsdam, 2022

Goldschmidt, K.; Miavaghi, M.; Sadegh-Azar, H.: Auswahl relevanter ingenieurseismologischer Parameter mithilfe künstlicher Neuronaler Netze; 7. VDI-Fachtagung Baudynamik 2022, Würzburg

Zentner, I.; Pagani, M.; Bazzurro, P.; Goldschmidt, K.; Sevbo, O.; Euratom METIS - Innovation in Methods and Tools for Seismic Risk Assessment; Closing Symposium SIGMA-2; 2022; Avignon

2021

Goldschmidt, K.; Sadegh-Azar, H.: Sicherheitstechnische Grundlagen der Erdbebenauslegung, in: Bauingenieur, Band 96 (2021) Nr. 12, VDI Fachmedien, DOI 10.37544/0005-6650-2121-12-33

2019

Mashmouli, M.; Goldschmidt, K.; Steinel, L.; Sadegh-Azar, H.: APPLICATION OF NEURAL NETWORKS IN SEISMIC RESPONSE PREDICTION OF STRUCTURES, A neural Network-based method for predicting seismic response of structures, Tehran, Nov 2019

Mashmouli, M.; Goldschmidt, K.; Steinel, L.; Sadegh-Azar, H.: APPLICATION OF NEURAL NETWORKS IN SEISMIC RESPONSE PREDICTION OF STRUCTURES, 16. D-A-CH Tagung Erdbebeningenieurwesen & Baudynamik (D-A-CH 2019), Innsbruck, 2019

Goldschmidt, K.; Mahsmouli, M.; Schneider, L.; Sadegh-Azar, H.: Methoden der Künstlichen Intelligenz zur Bestimmung der Erdbebenschädigung, in: 16. D-A-CH Tagung Erdbebeningenieurwesen & Baudynamik 2019, Innsbruck

Mahsmouli, M.; Goldschmidt, K.; Steinel, L.; Sadegh-Azar, H.: Application of Neural Networks in Seismic Response Prediction of Structures, in: 16. D-A-CH Tagung Erdbebeningenieurwesen & Baudynamik 2019, Innsbruck

Sadegh-Azar, H.; Goldschmidt, K.; Jahnel, L.: Innovative Reibungsfedern zur Erhöhung der Erdbebensicherheit, in: 16. D-A-CH Tagung Erdbebeningenieurwesen & Baudynamik 2019, Innsbruck


Research Interests

Earthquake Engineering

Seismic Fragility Analysis

Machine Learning

H2020 Project METIS  (Link: Newsroom – METIS (metis-h2020.eu))


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