International Workshop "Towards Holistic Computational Engineering"

May 30, June 27/29, 2017, Darmstadt


2017-05-30, S4|10-1 (lecture room, Dolivostraße)

14:30-15:30 — A multi-paradigm approach supporting the modular execution of reconfigurable hybrid systems

Prof. Dr. Holger Giese, Hasso Plattner Institute at the University of Potsdam

Advanced mechatronic systems must integrate existing technologies from mechanical, electrical and software engineering. They must be able to adapt their structure and behavior at runtime by reconfiguration to react flexibly to changes in the environment. Therefore, a tight integration of structural and behavioral models of the different domains is required. This integration results in complex reconfigurable hybrid systems, the execution logic of which cannot be addressed directly with existing standard modeling, simulation, and code-generation techniques. We present in this paper how our component-based approach for reconfigurable mechatronic systems, MECHATRONIC UML, efficiently handles the complex interplay of discrete behavior and continuous behavior in a modular manner. In addition, its extension to even more flexible reconfiguration cases are presented.

15:30-16:30 — The MoDeNa Multi-Scale Simulation Framework: Bridging Scales with Adaptive Surrogate Models

Dr. Henrik Rusche, Wikki GmbH, Braunschweig

The MoDeNa project [1] aims at developing, demonstrating and assessing an easy-to-use multi-scale software framework application under an open-source licensing scheme that delivers models with feasible computational loads for process and product design of complex materials. The concept of MoDeNa is an interconnected multi-scale software framework. As application cases we consider polyurethane foams (PU), which are excellent examples of a large turnover product produced in a variety of qualities and of which the properties are the result of designing and controlling the material structure on all levels of scale, from the molecule to the final product. Hence, four scales will be linked together by this framework namely the nano-, micro-, meso-, and macroscale.   ... [more]

17:00-18:00 — Simulation Data Management to support a holistic Systems Engineering approach

Dr. Marcus Krastel, :em engineering methods AG, Darmstadt

Simulation Driven Design, especially CAE tools, generates many files. Simulation Process and Data Management (SPDM) covers all activities in order to organize and manage engineering workflows and support the management of data even as input for or results of computational engineering tasks and tools. New requirements for Simulation Data management arise because of the implementation of systems engineering processes according to a V model methodology. With the introduction of Model Based Systems Engineering (MBSE) in companies a mechatronic development process needs to be supported with a multiplicity of models such as requirement model, system architecture, CAD model, CAE model, E/E model, SW model etc. The presentation will show the results of several projects within the ProSTEP iViP Association for simulation data management and Smart Systems Engineering. Furthermore an outlook will be given based on the results of the BMBF founded research project mecPro² with focus on the integration of Systems Engineering and Product Lifecycle Management.

2017-06-27, Hessisches Staatsarchiv (Karolinenplatz)

09:00-10:00 — Modeling, simulation, and development of cyber-physical systems with Modelica and FMI using the OpenModelica Open-Source Environment

Prof. Dr. Peter Fritzson, University of Linköping

The industry is currently seeing a rapid development of cyber-physical system products containing integrated software, hardware, and communication components. The increasing system complexity in the automotive and aerospace industries are some examples. The ongoing digital revolution imply several challenges. Systems that are developed have increasing demands of dependability and usability. Moreover, lead time and cost efficiency continue to be essential for industry competitiveness. Extensive use of modeling and simulation - Model-Based Systems Engineering tools - throughout the value chain and system life-cycle is one of the most important ways to effectively target these challenges. Simultaneously there is an increased interest in open source tools that allow more control of tool features and support, and increased cooperation and shared access to knowledge and innovations between organizations.   ... [more]

10:00-11:00 — Aspects of simulations in a product’s life-cycle on commercial software platforms

Dr.-Ing. Timo Euler, CST AG, Darmstadt

Simulations play a vital role in the life-cycle of a product. Simulations support a product’s feasibility study and initial design, the planning of its manufacturing process, detailed performance and failure prediction, as well as monitoring the product in the field. Further on, the traditional boundaries of the world of simulation and the physical world have become transparent: Surrogate models from simulations are used in physical products and vice versa. Thus, simulations have been integrated into all stages of Product Lifecycle Management (PLM) and commercial software solutions have adapted to this.   ... [more]

11:30-12:30 — Mathematische Opazität. Über Rechtfertigung und Reproduzierbarkeit in der Computersimulation

Dr. Andreas Kaminski, TU Darmstadt

Dass Natur opak (intransparent) ist, ist ein altes Thema der Erkenntnistheorie. Das Ziel der wissenschaftlichen Unternehmung ist, sie aufzuklären. In Frage steht, ob die wissenschaftliche Methode in Form Computersimulation selbst partiell intransparent ist. Das wäre etwas Neues, wofür Paul Humphrey das Stichwort „Epistemische Opazität“ geprägt hat. Es bezeichnet die methodische Intransparenz im Bereich der Simulationswissenschaften: Wissenschaftler seien nicht mehr in der Lage, alle Schritte ihrer Simulationsmethode nachzuvollziehen und (internalistisch) zu rechtfertigen. Dafür, dass an dieser aus der Philosophie stammenden These etwas dran sein könnte, gibt es Indizien in der Simulationspraxis. Der Vortrag verfolgt die Absicht, besser zu verstehen, inwiefern die Simulationsmethode mit einer partieller Opazität einhergehen mag und was die Gründe hierfür sind. Zu diesem Zweck werden drei Formen von Opazität (technische, soziale und mathematische) unterschieden und ihre jeweilige Relevanz für die Computersimulation untersucht. Dabei kommt den in der Computersimulation eingesetzten Gleichungssystemen, so die hier zugrundeliegende Hypothese, eine besondere Bedeutung zu: Mathematische Opazität zeigt sich als in der Tat neuartige methodische Intransparenz, wogegen die soziale und technische Opazität zwar hochrelevant, aber nicht exklusiv für die Computersimulation sind.

2017-06-29, Hessisches Staatsarchiv (Karolinenplatz)

09:00-10:00 — Multi-Paradigm Modelling

Prof. Dr. Hans Vangheluwe, University of Antwerp

Multi-Paradigm Modelling (MPM) has been proposed to tackle the complexities found in Cyber-Physical Systems (CPS). MPM advocates the explicit modelling of all pertinent parts and aspects of complex systems. It adresses and integrates three orthogonal dimensions: multi-abstraction modelling, concerned with the (refinement, generalization, ...) relationships between models; multi-formalism modelling, concerned with the (multi-view, multi-component, ...) coupling of and transformation between models described in different formalisms; explicitly modelling the often complex, concurrent workflows. Current modelling, analysis and simulation tools support only isolated parts of MPM.

The core methods and techniques that enable MPM are model management, (domain-specific) modelling language engineering, and workflow modelling.

By means of examples, the different problems and suggested MPM solutions will be presented. In particular, domain-specific modelling, consistency in multi-view concurrent modelling, when stakeholders from different domains collaborate will be discussed.

10:00-11:00 — Abstract Behavioral Specification

Prof. Dr. Reiner Hähnle, TU Darmstadt

Abstract Behavioral Specification (ABS) is a specification paradigm as well as a formal language that have been developed in the last decade. With ABS one specifies the behavior of systems in terms of lightweight, "model" programs. ABS is fully formalized, executable, supports object-oriented modeling as well as concurrent executions and variability management. The ABS language has been carefully designed to permit - largely automated - analyses of various kinds, including resource consumption, deadlock detection, safety properties. ABS has been used to model and analyse commercial as well as academic systems, software as well as hardware. It is currently used by German Railways, by the LOEWE project CompuGene, and by Statoil to model the behavior of complex systems. I will explain the main principles of ABS and sketch the opportunities within HCE.

11:30-12:30 — The changing Role of Simulation – From Mathematics to CAE Democratization

Dr. Dirk Hartmann, Siemens AG, Corporate Technology, Munich

Due to ever increasing product complexity of today's and tomorrow’s products, the role of simulation is changing rapidly. Without simulation we would not be able to handle the ever growing complexity of our products at the speed innovations are emerging today. But not only is engineering heavily relying on computational techniques but simulation per se is expected to be of a fundamental value customers will be paying for, e.g. as an assist system for optimal operation of products, systems, and infrastructures. This is heart of the digital twin vision, the north star for simulation.

In this talk, I provide a short overview on Computer Aided Engineering in an industrial context as well as highlight current challenges and opportunities along concrete examples. Furthermore, the digital twin vision will be highlighted along several innovative novel applications of simulation.


Technische Universität Darmstadt

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D-64293 Darmstadt

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