Marcus P Rutner

Prof. Dr. Marcus P Rutner

Institute for Metal and Composite Structures, Hamburg University of Technology, Denickestr. 17, 21073 Hamburg, Germany
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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 January 2022 in Scripta Materialia
Verified
Journal Article
Closed access
JBJakob Brunow
Jakob Brunow
SGStella Gries
Stella Gries
TKTobias Krekeler
Tobias Krekeler
MRMarcus P Rutner
Marcus P Rutner

14 December 2023 in Scientific Reports
Verified
Journal Article
Open access
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JBJakob Brunow
Jakob Brunow
NSNiclas Spalek
Niclas Spalek
FMFawad Mohammadi
Fawad Mohammadi
MRMarcus P Rutner
Marcus P Rutner
Welded joints exhibit fatigue failure potential from weld geometry and characteristics of the heat affected zone. In order to counteract fatigue, structures and components require larger thicknesses resulting in heavier designs exhausting the finite natural resources. We hereby introduce a novel post-weld treatment, which postpones or even prevents fatigue failure of the welded connection. A Cu/Ni nanostructured metallic multilayer (NMM) is applied via electrodeposition and a 300–600% increase in usable lifetime compared to the untreated weld is observed. A FAT class 190 with a slope of k = 6 is proposed for the design of NMM treated butt welds. Material mechanisms responsible for the fatigue strength increase are introduced herein. A case study shows that the design of offshore wind turbine support structures applying NMM post-weld treatment enables a lifetime extension as well as a 28% weight reduction compared to the structure without post-weld treatment.

1 October 2017 in Scripta Materialia
Verified
Journal Article
Closed access
MRMajid Ramezani
Majid Ramezani
MDMichael J. Demkowicz
Michael J. Demkowicz
GFGang Feng
Gang Feng
MRMarcus P Rutner
Marcus P Rutner

1 March 2021 in Scripta Materialia
Verified
Journal Article
Closed access
JBJakob Brunow
Jakob Brunow
MRMartin Ritter
Martin Ritter
TKTobias Krekeler
Tobias Krekeler
MRMajid Ramezani
Majid Ramezani
MRMarcus P Rutner
Marcus P Rutner

2 December 2021 in Metals
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Journal Article
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NSNiclas Spalek
Niclas Spalek
JBJakob Brunow
Jakob Brunow
Moritz BraunMoritz Braun
Moritz Braun
MRMarcus P Rutner
Marcus P Rutner
Laminated metal composites are a promising design since the hybrid design enables superior and tailorable material properties compared with bulk material. The article introduces for the first time, laminated metal composites consisting of multiple bilayers of alternating layers of ductile and high-strength steel processed by wire arc additive manufacturing (WAAM). The layup of the laminated metal composites is built up by alternating deposits made of ductile steel and high-strength steel type wires. Governing parameters in the fabrication process affecting the material properties, such as dilution, are discussed. Enhanced material properties of the laminated metal composites fabricated by WAAM are investigated under static tensile, impact and tension-tension high-cycle-fatigue loading and compared to the relating homogenous weld metal. Potential reasons for the retardation of crack propagation in laminated metal composites fabricated by WAAM compared to findings in roll-bonded laminated metal composites are discussed. WAAM is conducted by a collaborative robot providing a high level of flexibility in respect to geometry and scalability. Tailorability of material properties through WAAM-fabricated laminated metal composites adds an important layer of flexibility which has not been explored yet.

14 January 2021 in Structural Health Monitoring
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Journal Article
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POPeter Oppermann
Peter Oppermann
LDLennart Dorendorf
Lennart Dorendorf
MRMarcus P Rutner
Marcus P Rutner
CRChristian Renner
Christian Renner
Nonlinear modulation is a promising technique for ultrasonic non-destructive damage identification. A wireless sensor network is ideally suited to monitor large structures using nonlinear modulation in a cost-efficient manner. However, existing approaches rely on high sampling rates and resource-demanding computations that are not feasible on low-cost and low-power sensor network devices. We present a new damage indicator that uses the short-time Fourier transform to derive amplitude and phase modulation with less computational effort and memory usage. Evaluation of the proposed method using real experiment data exhibits performance and reliability similar to the conventionally used modulation index. Undersampling is demonstrated, which reduces the memory demand in a test scenario by more than 100 times, and the required energy for sampling and processing more than four times. The loss of accuracy introduced by undersampling is shown to be negligible.