TY  - CHAP
A1  - Pfetsch, Marc E.
A1  - Abele, Eberhard
A1  - Altherr, Lena
A1  - Bölling, Christian
A1  - Brötz, Nicolas
A1  - Dietrich, Ingo
A1  - Gally, Tristan
A1  - Geßner, Felix
A1  - Groche, Peter
A1  - Hoppe, Florian
A1  - Kirchner, Eckhard
A1  - Kloberdanz, Hermann
A1  - Knoll, Maximilian
A1  - Kolvenbach, Philip
A1  - Kuttich-Meinlschmidt, Anja
A1  - Leise, Philipp
A1  - Lorenz, Ulf
A1  - Matei, Alexander
A1  - Molitor, Dirk A.
A1  - Niessen, Pia
A1  - Pelz, Peter F.
A1  - Rexer, Manuel
A1  - Schmitt, Andreas
A1  - Schmitt, Johann M.
A1  - Schulte, Fiona
A1  - Ulbrich, Stefan
A1  - Weigold, Matthias
T1  - Strategies for mastering uncertainty
T2  - Mastering uncertainty in mechanical engineering
N2  - This chapter describes three general strategies to master uncertainty in technical systems: robustness, flexibility and resilience. It builds on the previous chapters about methods to analyse and identify uncertainty and may rely on the availability of technologies for particular systems, such as active components. Robustness aims for the design of technical systems that are insensitive to anticipated uncertainties. Flexibility increases the ability of a system to work under different situations. Resilience extends this characteristic by requiring a given minimal functional performance, even after disturbances or failure of system components, and it may incorporate recovery. The three strategies are described and discussed in turn. Moreover, they are demonstrated on specific technical systems.
Y1  - 2021
SN  - 978-3-030-78353-2
U6  - http://dx.doi.org/10.1007/978-3-030-78354-9_6
N1  - Part of the Springer Tracts in Mechanical Engineering book series (STME)
SP  - 365
EP  - 456
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Müller, Tim M.
A1  - Schmitt, Andreas
A1  - Leise, Philipp
A1  - Meck, Tobias
A1  - Altherr, Lena
A1  - Pelz, Peter F.
A1  - Pfetsch, Marc E.
T1  - Validation of an optimized resilient water supply system
T2  - Uncertainty in Mechanical Engineering
N2  - Component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems.
KW  - Optimization
KW  - Mixed-integer nonlinear programming
KW  - Water distribution system
KW  - Resilience
KW  - Validation
Y1  - 2021
SN  - 978-3-030-77255-0
SN  - 978-3-030-77256-7
U6  - http://dx.doi.org/10.1007/978-3-030-77256-7_7
N1  - Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7–8, 2021
SP  - 70
EP  - 80
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Altherr, Lena
A1  - Leise, Philipp
A1  - Pfetsch, Marc E.
A1  - Schmitt, Andreas
T1  - Optimal design of resilient technical systems on the example of water supply systems
T2  - Mastering Uncertainty in Mechanical Engineering
Y1  - 2021
SN  - 978-3-030-78356-3
N1  - Unterkapitel des Kapitels "Strategies for Mastering Uncertainty"
SP  - 429
EP  - 433
PB  - Springer
CY  - Cham
ER  -