A new pre-assessment model for failure-probability-based-planning by neural network

X Zhang, J An - Journal of Loss Prevention in the Process Industries, 2023 - Elsevier
At present, the prediction of failure probability is based on the operation period for laid
pipelines, and the method is complicated and time-consuming. If the failure probability can …

Tracing Locally Pareto-Optimal Points by Numerical Integration

M Bolten, OT Doganay, H Gottschalk… - SIAM Journal on Control …, 2021 - SIAM
We suggest a novel approach for the efficient and reliable approximation of the Pareto front
of sufficiently smooth unconstrained biobjective optimization problems. Optimality conditions …

Gradient based biobjective shape optimization to improve reliability and cost of ceramic components

OT Doganay, H Gottschalk, C Hahn, K Klamroth… - Optimization and …, 2020 - Springer
We consider the simultaneous optimization of the reliability and the cost of a ceramic
component in a biobjective PDE constrained shape optimization problem. A probabilistic …

Numerical shape optimization to decrease failure probability of ceramic structures

M Bolten, H Gottschalk, C Hahn, M Saadi - Computing and Visualization in …, 2019 - Springer
Ceramic is a material frequently used in industry because of its favorable properties.
Common approaches in shape optimization for ceramic structures aim to minimize the …

Optimal reliability in design for fatigue life

H Gottschalk, S Schmitz - SIAM Journal on Control and Optimization, 2014 - SIAM
The failure of a component often is the result of a degradation process that originates with
the formation of a crack. Fatigue describes the crack formation in the material under cyclic …

An analytical study in multi-physics and multi-criteria shape optimization

H Gottschalk, M Reese - Journal of Optimization Theory and Applications, 2021 - Springer
A simple multi-physical system for the potential flow of a fluid through a shroud, in which a
mechanical component, like a turbine vane, is placed, is modeled mathematically. We then …

Shape gradients for the failure probability of a mechanic component under cyclic loading: a discrete adjoint approach

H Gottschalk, M Saadi - Computational Mechanics, 2019 - Springer
This work provides a numerical calculation of shape gradients of failure probabilities for
mechanical components using a first discretize, then adjoin approach. While deterministic …

Krylov subspace recycling for evolving structures

M Bolten, E de Sturler, C Hahn, ML Parks - Computer Methods in Applied …, 2022 - Elsevier
Krylov subspace recycling is a powerful tool when solving a long series of large, sparse
linear systems that change only slowly over time. In PDE constrained shape optimization …

Hypervolume scalarization for shape optimization to improve reliability and cost of ceramic components

J Schultes, M Stiglmayr, K Klamroth, C Hahn - Optimization and …, 2021 - Springer
In engineering applications one often has to trade-off among several objectives as, for
example, the mechanical stability of a component, its efficiency, its weight and its cost. We …

Optimal reliability for components under thermomechanical cyclic loading

L Bittner, H Gottschalk - arXiv preprint arXiv:1601.00419, 2016 - arxiv.org
We consider the existence of optimal shapes in the context of the thermomechanical system
of partial differential equations (PDE) using the recent approach based on elliptic regularity …