David Lehký

According to our database, David Lehký authored at least 14 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

A utilization of the inverse response surface method for the reliability-based design of structures.

David Lehký, Martina Somodíková, Martin Lipowczan

Neural Comput. Appl., 2022

Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion.

Lukás Novák, David Lehký, Drahomír Novák

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Surrogate Modeling for Stochastic Assessment of Engineering Structures.

David Lehký, Lukás Novák, Drahomír Novák

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2020

Combinatorial Reliability-Based Optimization of Nonlinear Finite Element Model Using an Artificial Neural Network-Based Approximation.

Ondrej Slowik, David Lehký, Drahomír Novák

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2018

Reliability-based design: Artificial neural networks and double-loop reliability-based optimization approaches.

David Lehký, Ondrej Slowik, Drahomír Novák

Adv. Eng. Softw., 2018

2017

Reliability calculation of time-consuming problems using a small-sample artificial neural network-based response surface method.

David Lehký, Martina Somodíková

Neural Comput. Appl., 2017

Neural network ensemble-based parameter sensitivity analysis in civil engineering systems.

Maosen Cao, Lixia Pan, Y. F. Gao, Drahomír Novák, Z. C. Ding, David Lehký, X. L. Li

Neural Comput. Appl., 2017

2015

Reliability Analysis of Post-Tensioned Bridge Using Artificial Neural Network-Based Surrogate Model.

David Lehký, Martina Somodíková

Proceedings of the Engineering Applications of Neural Networks, 2015

2014

FraMePID-3PB software for material parameter identification using fracture tests and inverse analysis.

David Lehký, Zbynek Kersner, Drahomír Novák

Adv. Eng. Softw., 2014

Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches.

David Lehký, Ondrej Slowik, Drahomír Novák

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2013

Fracture properties of cement and alkali activated fly ash based concrete with application to segmental tunnel lining.

Michal Sejnoha, Miroslav Broucek, Eva Novotná, Zbynek Kersner, David Lehký, P. Frantík

Adv. Eng. Softw., 2013

2009

Neural Network Based Damage Detection of Dynamically Loaded Structures.

David Lehký, Drahomír Novák

Proceedings of the Engineering Applications of Neural Networks, 2009

Virtual reliability control of precast prestressed concrete elements using parameters identification and statistical simulation.

Drahomír Novák, Zbynek Kersner, Jiri Dolezel, David Lehký

Proceedings of the IEEE International Conference on Control Applications, 2009

2006

ANN inverse analysis based on stochastic small-sample training set simulation.

Drahomír Novák, David Lehký

Eng. Appl. Artif. Intell., 2006