Reliability-based optimization of structural topologies using artificial neural networks
In this paper, a topology optimization approach is presented, where uncertain load and
uncertain material parameters are considered. The concept of compliance minimization, ie …
uncertain material parameters are considered. The concept of compliance minimization, ie …
[HTML][HTML] Multilevel surrogate modeling approach for optimization problems with polymorphic uncertain parameters
The solution of optimization problems with polymorphic uncertain data requires combining
stochastic and non-stochastic approaches. The concept of uncertain a priori parameters and …
stochastic and non-stochastic approaches. The concept of uncertain a priori parameters and …
Reliability based optimization of steel-fibre segmental tunnel linings subjected to thrust jack loadings
The circular lining in mechanized tunnelling consists of concrete segments, which are
exposed to different loading cases during tunnel construction. One of the most critical …
exposed to different loading cases during tunnel construction. One of the most critical …
Multi-objective optimization of tree trunk axes in glulam beam design considering fuzzy probability-based random fields
FN Schietzold, W Graf… - … -ASME Journal of …, 2021 - asmedigitalcollection.asme.org
Deterministic design and a priori parameters are used in traditional optimization
approaches. The material characteristics of solid wood are not deterministic in reality …
approaches. The material characteristics of solid wood are not deterministic in reality …
[HTML][HTML] Uncertain pedestrian load modeling for structural vibration assessment in footbridge design
The request of material savings in bridge constructions leads to the development towards
slender and lightweight structures, which are more sensitive to human-induced vibrations …
slender and lightweight structures, which are more sensitive to human-induced vibrations …
Robustness versus performance–Nested inherence of objectives in optimization with polymorphic uncertain parameters
FN Schietzold, F Leichsenring, M Götz, W Graf… - … in Engineering Software, 2021 - Elsevier
Fuzzy probability based randomness is utilized for polymorphic uncertain design and a priori
parameters in design optimization tasks. Methods for the algorithmic interface between …
parameters in design optimization tasks. Methods for the algorithmic interface between …
Decision making and design in structural engineering problems under polymorphic uncertainty
The treatment of diverse uncertainties is an important challenge in structural engineering
problems, especially from the viewpoint of realistic analysis. Inaccuracy and variability are …
problems, especially from the viewpoint of realistic analysis. Inaccuracy and variability are …
Robustness and reliability investigations on a nonlinear energy sink device concept
In this work, the reliability and robustness of a nonlinear energy sink device concept are
investigated. The system is studied and optimized in deterministic and probabilistic cases. It …
investigated. The system is studied and optimized in deterministic and probabilistic cases. It …
Artificial neural network surrogate modeling for uncertainty quantification and structural optimization of reinforced concrete structures
Optimization approaches are important to design sustainable structures. In structural
mechanics, different design objectives can be defined, for example, to minimize the required …
mechanics, different design objectives can be defined, for example, to minimize the required …
[PDF][PDF] Polymorphe Unschärfemodellierung in der nichtlinearen Strukturmechanik-Stabilität von Schalentragwerken, räumliche Variabilität und …
M Fina - 2020 - d-nb.info
Die vorliegende Dissertationsschrift entstand während meiner Tätigkeit als
wissenschaftlicher Mitarbeiter am Institut für Baustatik des Karlsruher Instituts für …
wissenschaftlicher Mitarbeiter am Institut für Baustatik des Karlsruher Instituts für …