@article{BorrmannSchorrObergriesseretal., author = {Borrmann, Andr{\´e} and Schorr, Markus and Obergrießer, Mathias and Ji, Yang and Wu, I-Chen and G{\"u}nthner, Willibald A. and Euringer, Thomas and Rank, Ernst}, title = {Using product data management systems for civil engineering projects - Potentials and obstacles}, series = {Computing in civil engineering : proceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering ; June 24 - 27, 2009, Austin, Texas}, volume = {346}, journal = {Computing in civil engineering : proceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering ; June 24 - 27, 2009, Austin, Texas}, editor = {Caldas, Carlos H. and O'Brien, William J.}, publisher = {ASCE}, pages = {359 -- 369}, language = {en} } @article{LedentsovDuesterVolketal., author = {Ledentsov, Dmitry and D{\"u}ster, Alexander and Volk, Wolfram and Wagner, Marcus and Heinle, Ingo and Rank, Ernst}, title = {Model adaptivity for industrial application of sheet metal forming simulation}, series = {Finite Elements in Analysis and Design}, volume = {46}, journal = {Finite Elements in Analysis and Design}, number = {7}, doi = {10.1016/j.finel.2010.02.006}, pages = {585 -- 600}, abstract = {finite element simulation of sheet metal forming, shell elements are widely used. The limits of applicability of the shell elements are sometimes disregarded, which leads to an error in predictions of important values such as springback geometry. The underlying kinematic assumptions of the shell elements do not hold where the thickness of In the metal sheet approaches the value of the radius of curvature. Complex three-dimensional material behavior effects cannot be represented precisely as the result of the simplified kinematics. Here we present a model adaptivity scheme based on a model error indicator. The model-adaptive technique presented in this paper aides to resolve only the critical areas of the structure with a three-dimensional discretization while keeping reasonable computational cost by utilizing shell elements for the rest of the structure. The model error indicator serves as a guide for subsequent automatic adaptive re-meshing of the work-piece followed by a model-adaptive finite element analysis. The accuracy of the approximation obtained by the model-adaptive technique coincides well with that of a more expensive solution obtained with solid elements only.}, language = {en} } @article{SchorrBorrmannObergriesseretal., author = {Schorr, Markus and Borrmann, Andr{\´e} and Obergrießer, Mathias and Ji, Yang and G{\"u}nthner, Willibald A. and Rank, Ernst}, title = {Employing product data management systems in civil engineering projects: Functionality analysis and assessment}, series = {Journal of soft computing in civil engineering : SCCE}, volume = {25}, journal = {Journal of soft computing in civil engineering : SCCE}, number = {6}, publisher = {ASCE}, address = {New York, NY}, pages = {430 -- 441}, abstract = {Product Data Management (PDM) systems are well established in the manufacturing industry. Here, they form the standard solution for the central storage of all data relating to a product and the processes involved in its manufacture. Particularly the consistent management of CAD models, including sophisticated versioning techniques and access rights management as well as the integrated workflow management are attractive features for using PDM systems also for civil engineering projects. This paper investigates the technical concepts behind PDM systems and compares their suitability as a data management solution in civil engineering projects with that of Document Management Systems and Product Model Servers. Alongside a comparative study of the major PDM systems available on the market, we also present a case study involving a PDM system that has been employed for a concrete civil engineering project.}, language = {en} }