Detlef Gerhard

Prof. Detlef Gerhard

Ruhr University Bochum, Bochum, North Rhine-Westphalia, Germany
orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

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1 January 2018
Verified
Book
Closed access
SVSándor Vajna
Sándor Vajna
CWChristian Weber
Christian Weber
KZKlaus Zeman
Klaus Zeman
PHPeter Hehenberger
Peter Hehenberger
Detlef GerhardDetlef Gerhard
Detlef Gerhard
SWSandro Wartzack
Sandro Wartzack

25 April 2022 in Frontiers in Built Environment
Verified
Journal Article
Open access
SKSimon Kosse
Simon Kosse
OVOliver Vogt
Oliver Vogt
Mario WolfMario Wolf
Mario Wolf
MKMarkus König
Markus König
Detlef GerhardDetlef Gerhard
Detlef Gerhard
Modularized construction with precast concrete elements has many advantages, such as shorter construction times, higher quality, flexibility, and lower costs. These advantages are mainly due to its potential for prefabrication and series production. However, the production processes are still craftsmanship, and automation rarely occurs. Fundamental to the automation of production is digitization. In recent years, the manufacturing industry made significant progress through the intelligent networking of components, machines, and processes in the introduction of Industry 4.0. A key concept of Industry 4.0 is the digital twin, which represents both components and machines, thus creating a dynamic network in which the participants can communicate with each other. So far, BIM and digital twins in construction have focused mainly on the structure as a whole and do not consider feedback loops from production at the component level. This paper proposes a framework for a digital twin for the industrialized production of precast concrete elements in series production based on the asset administration shell (AAS) from the context of Industry 4.0. For this purpose, relevant production processes are identified, and their information requirements are derived. Data models and corresponding AAS for precast concrete parts will be created for the identified processes. The functionalities of the presented digital twin are demonstrated using the use case of quality control for a precast concrete wall element. The result shows how data can be exchanged with the digital twin and used for decision-making.

1 January 2019 in Procedia Manufacturing
Verified
Journal Article
Open access
MHMartin Hennig
Martin Hennig
GRGerhard Reisinger
Gerhard Reisinger
TTThomas Trautner
Thomas Trautner
PHPhilipp Hold
Philipp Hold
Detlef GerhardDetlef Gerhard
Detlef Gerhard
AMAlexandra Mazak
Alexandra Mazak

1 January 2018 in Procedia CIRP
Verified
Journal Article
Open access
PRPatrick Rosenberger
Patrick Rosenberger
Detlef GerhardDetlef Gerhard
Detlef Gerhard

7 May 2017
Verified
Book Chapter
Closed access
PDF file
SBStefan Biffl
Stefan Biffl
Detlef GerhardDetlef Gerhard
Detlef Gerhard
ALArndt Lüder
Arndt Lüder

1 January 2017 in Procedia CIRP
Verified
Journal Article
Open access
SBSébastien Bougain
Sébastien Bougain
Detlef GerhardDetlef Gerhard
Detlef Gerhard