An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new Time-distributed Residual U-Net architecture

A Koeppe, F Bamer, B Markert - Computer Methods in Applied Mechanics …, 2020 - Elsevier
Substructuring is a model order reduction technique that accelerates the finite element
method in solid mechanics. In this improved hybrid substructuring approach, methods from …

An efficient Monte Carlo strategy for elasto-plastic structures based on recurrent neural networks

A Koeppe, F Bamer, B Markert - Acta Mechanica, 2019 - Springer
Abstract The Monte Carlo method is computationally expensive. Especially for reliable
response statistics in the tail region, a large number of samples has to be computed. In this …

Influence of the characteristics of isolation and mitigation devices on the response of single‐degree‐of‐freedom vibro‐impact systems with two‐sided bumpers and …

U Andreaus, M De Angelis - Structural Control and Health …, 2020 - Wiley Online Library
During strong earthquakes, structural pounding may occur between structures (buildings,
bridges, strategic facilities, critical equipment, etc.) and the surrounding moat wall because …

A Newmark space-time formulation in structural dynamics

F Bamer, N Shirafkan, X Cao, A Oueslati… - Computational …, 2021 - Springer
In this contribution, we present a space-time formulation of the Newmark integration scheme
for linear damped structures under both harmonic and transient excitations. The incremental …

Training data selection for machine learning-enhanced Monte Carlo simulations in structural dynamics

D Thaler, L Elezaj, F Bamer, B Markert - Applied Sciences, 2022 - mdpi.com
The evaluation of structural response constitutes a fundamental task in the design of ground-
excited structures. In this context, the Monte Carlo simulation is a powerful tool to estimate …

A monte carlo simulation approach in non-linear structural dynamics using convolutional neural networks

F Bamer, D Thaler, M Stoffel, B Markert - Frontiers in Built Environment, 2021 - frontiersin.org
The evaluation of the structural response statistics constitutes one of the principal tasks in
engineering. However, in the tail region near structural failure, engineering structures …

[PDF][PDF] Deep learning in the finite element method

A Koeppe - 2021 - scholar.archive.org
In solid mechanics, the vast majority of numerical computations use the Finite Element
Method (FEM). The FEM allows the assembly of large complex structures from generic …

A nonlinear visco‐elastoplastic model for structural pounding

F Bamer, B Markert - Earthquake Engineering & Structural …, 2018 - Wiley Online Library
State‐of‐the‐art pounding formulations do not consider eventual damage‐induced changes
regarding the collision description during an excitation time history. In particular, in case of …

Fragility analysis of structural pounding between adjacent structures arranged in series with various alignment configurations under near-field earthquakes

F Ebrahimiyan, MA Hadianfard, H Naderpour… - Bulletin of Earthquake …, 2022 - Springer
A major cause of local to total damages is related to structural pounding in a large number of
past earthquakes. In general, these collisions take place as a result of differences in the …

A visco-elastoplastic pounding damage formulation

F Bamer, N Strubel, J Shi, B Markert - Engineering Structures, 2019 - Elsevier
In this paper, we present a new strategy that enables a quick dynamic assessment of
damage caused by structural pounding. Applying a visco-elastoplastic pounding …