12 Dokumente gefunden

Exploring the Potential of Physics-Informed Neural Networks for the Structural Analysis of 2D Frame Structures

Within the present paper, Physics-Informed Neural Networks (PINN) are investigated for the analysis of frame structures in two dimensions. The individual structural elements are represented by Euler–Bernoulli beams with additional axial stiffness. The transverse and axial displacements are approximated…
Basel: MDPI, 2025-11-24

An Efficient Uncertainty Quantification Approach for Robust Design of Tuned Mass Dampers in Linear Structural Dynamics

The application of tuned mass dampers (TMDs) to high-rise buildings or slender bridges can significantly decrease the dynamical vibrations due to external excitation, such as wind or earthquake loads. However, the individual properties of a TMD such as mass, stiffness and damping have to be designed…
Basel: MDPI, 2025-08-25

Inverse Uncertainty Quantification in Material Parameter Calibration Using Probabilistic and Interval Approaches

In model calibration, the identification of the unknown parameter values themselves, but also the uncertainty of these model parameters, due to uncertain measurements or model outputs might be required. The analysis of parameter uncertainty helps us understand the calibration problem better. Investigations…
Basel: MDPI, 2025-02-12

Scalarization Methods for Multi-Objective Structural Optimization

Scalarization methods are a category of multiobjective optimization (MOO) methods. These methods allow the usage of conventional single objective optimization algorithms, as scalarization methods reformulate the MOO problem into a single objective optimization problem. The scalarization methods analysed…

Effiziente Methoden zur Analyse des Einflusses von Unsicherheiten in komplexen Ingenieurmodellen

Im Ingenieurwesen ist die Berücksichtigung von Unsicherheiten beim Nachweis von Tragkonstruktionen unverzichtbar. Dabei kommen oftmals probabilistische Methoden zum Einsatz. Allerdings werden durch den Einzug numerischer Diskretisierungsverfahren, wie zum Beispiel der Finite Elemente Methode, viele Fragestellungen…
Weimar: Verlag der Bauhaus-Universität Weimar, 2013

Adaptive response surface approach using artificial neural networks and moving least squares

In engineering science the modeling and numerical analysis of complex systems and relations plays an important role. In order to realize such an investigation, for example a stochastic analysis, in a reasonable computational time, approximation procedure have been developed. A very famous approach is…

A natural neighbor based moving least squares approach with interpolating weighting function

The Element-free Galerkin Method has become a very popular tool for the simulation of mechanical problems with moving boundaries. The internally applied Moving Least Squares approximation uses in general Gaussian or cubic weighting functions and has compact support. Due to the approximative character…

An improved cohesive crack model for combined crack opening and sliding under cyclic loading

The modeling of crack propagation in plain and reinforced concrete structures is still a field for many researchers. If a macroscopic description of the cohesive cracking process of concrete is applied, generally the Fictitious Crack Model is utilized, where a force transmission over micro cracks is…

Stochastic crack growth simulation in reinforced concrete structures by means of coupled finite element and meshless methods

Das komplexe Versagensverhalten von Betonstrukturen kann in der Regel nicht mit Standardbemessungsformeln beschrieben werden. Eine detaillierte numerische Analyse der Rissentwicklung in Beton ist für einige Problemstellungen unverzichtbar. In den letzten Jahrzehnten haben sich eine Vielzahl von Forschergruppen…

Application of a hybrid parallelization technique to accelerate the numerical simulation of nonlinear mechanical problems

This paper presents the combination of two different parallelization environments, OpenMP and MPI, in one numerical simulation tool. The computation of the system matrices and vectors is parallelized with OpenMP and the solution of the system of equations is done with the MPIbased solver MUMPS. The efficiency…
Weimar: Bauhaus-Universität Weimar, 2004-12-16

A Four-Node Plane EAS-Element for Stochastic Nonlinear Materials

Iso-parametric finite elements with linear shape functions show in general a too stiff element behavior, called locking. By the investigation of structural parts under bending loading the so-called shear locking appears, because these elements can not reproduce pure bending modes. Many studies dealt…

Application of the "fictious crack model" to meshless crack growth simulations

In this paper a meshless component is presented, which internally uses the common meshless interpolation technique >Moving Least Squares<. In contrast to usual meshless integration schemes like the cell quadrature and the nodal integration in this study integration zones with triangular geometry spanned…