Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new Time-distributed Residual U-Net architecture
Substructuring is a model order reduction technique that accelerates the finite element
method in solid mechanics. In this improved hybrid substructuring approach, methods from …
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
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 …
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 …
During strong earthquakes, structural pounding may occur between structures (buildings,
bridges, strategic facilities, critical equipment, etc.) and the surrounding moat wall because …
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 …
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
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 …
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
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 …
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 …
Method (FEM). The FEM allows the assembly of large complex structures from generic …
A nonlinear visco‐elastoplastic model for structural pounding
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 …
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
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 …
past earthquakes. In general, these collisions take place as a result of differences in the …
A visco-elastoplastic pounding damage formulation
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 …
damage caused by structural pounding. Applying a visco-elastoplastic pounding …