Towards a lifecycle oriented design of infrastructure by mathematical optimization

Today’s infrastructures are mainly designed heuristically using state-of-the-art simulation software and engineering approaches. However, due to complexity, only part of the restrictions and costs that show up during the lifecycle can be taken into account. In this paper, we focus on a typical and i...

Full description

Saved in:
Bibliographic Details
Published in:Optimization and engineering 2019-03, Vol.20 (1), p.215-249
Main Authors: Kufner, T., Leugering, G., Martin, A., Medgenberg, J., Schelbert, J., Schewe, L., Stingl, M., Strohmeyer, C., Walther, M.
Format: Article
Language:English
Subjects:
Combinatorial analysis
Computer simulation
Control
Damage assessment
Design optimization
Engineering
Environmental Management
Financial Engineering
Infrastructure
Kinematics
Life cycle costs
Mathematical models
Mathematics
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
Partial differential equations
Power plants
Research Article
Software engineering
State of the art
Steam electric power generation
Steam pipes
Systems Theory
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Today’s infrastructures are mainly designed heuristically using state-of-the-art simulation software and engineering approaches. However, due to complexity, only part of the restrictions and costs that show up during the lifecycle can be taken into account. In this paper, we focus on a typical and important class of infrastructure problems, the design of high-pressure steam pipes in power plants, and describe a holistic approach taking all design, physical, and technical constraints and the costs over the full lifecycle into account. The problem leads to a large-scale mixed-integer optimization problem with partial differential equation (PDE) constraints which will be addressed hierarchically. The hierarchy consists of a combinatorial and a PDE-constrained optimization problem. The final design is evaluated with respect to damage, using beam models that are nonlinear with respect to kinematics as well as constitutive law. We demonstrate the success of our approach on a real-world instance from our industrial partner Bilfinger SE.
ISSN:1389-4420
1573-2924
DOI:10.1007/s11081-018-9406-5