TY - GEN
T1 - Automatic detailing of parametric sketches by graph transformation
AU - Vilgertshofer, S.
AU - Borrmann, A.
PY - 2015
Y1 - 2015
N2 - In the scope of planning and realizing large infrastructural projects, it is reasonable to create product models as multi-scale models comprising multiple levels of detail (LoD). To avoid inconsistencies among the different LoDs, it is necessary to apply parametric modeling techniques which allow the automatic preservation of the model's consistency across the different LoDs in the case of modifications. Previous research in this area has revealed that the manual creation of consistency preserving parametric product models is a very complex, time consuming and error-prone task. Therefore, research concerning the automation of the detailing processes is necessary. This paper presents a detailing automation approach which is based on graph transformations. It discusses how twodimensional parametric geometric models (sketches) can be represented by graphs and how detailing steps can be realized through graph transformation. A general approach to represent sketches by the use of graphs and the limitations applying to such an approach is described. It is discussed how geometric elements and corresponding parametric constraints of a sketch can be depicted by the nodes and edges of a graph and their attributes. Furthermore, the properties of the graph that are required for a nonambiguous representation are analyzed. Based on those requirements a corresponding graph rewriting system is introduced. The functional capability of the presented theories were validated through a prototypic implementation executing the stepwise detailing of a sketch representing a shield tunnel section.
AB - In the scope of planning and realizing large infrastructural projects, it is reasonable to create product models as multi-scale models comprising multiple levels of detail (LoD). To avoid inconsistencies among the different LoDs, it is necessary to apply parametric modeling techniques which allow the automatic preservation of the model's consistency across the different LoDs in the case of modifications. Previous research in this area has revealed that the manual creation of consistency preserving parametric product models is a very complex, time consuming and error-prone task. Therefore, research concerning the automation of the detailing processes is necessary. This paper presents a detailing automation approach which is based on graph transformations. It discusses how twodimensional parametric geometric models (sketches) can be represented by graphs and how detailing steps can be realized through graph transformation. A general approach to represent sketches by the use of graphs and the limitations applying to such an approach is described. It is discussed how geometric elements and corresponding parametric constraints of a sketch can be depicted by the nodes and edges of a graph and their attributes. Furthermore, the properties of the graph that are required for a nonambiguous representation are analyzed. Based on those requirements a corresponding graph rewriting system is introduced. The functional capability of the presented theories were validated through a prototypic implementation executing the stepwise detailing of a sketch representing a shield tunnel section.
KW - Graph transformation
KW - Level of detail
KW - Multi-scale modeling
KW - Parametric modeling
UR - http://www.scopus.com/inward/record.url?scp=85087239156&partnerID=8YFLogxK
U2 - 10.22260/isarc2015/0006
DO - 10.22260/isarc2015/0006
M3 - Conference contribution
AN - SCOPUS:85087239156
T3 - 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, Proceedings
BT - 32nd International Symposium on Automation and Robotics in Construction and Mining
PB - International Association for Automation and Robotics in Construction I.A.A.R.C)
T2 - 32nd International Symposium on Automation and Robotics in Construction and Mining: Connected to the Future, ISARC 2015
Y2 - 15 June 2015 through 18 June 2015
ER -