Architecture for Integrated Development of Complex Systems With Model-Based System Specification and Simulation

The changing needs of society informed by rapid technological, social and ecological changes have disturbed the foundation of permanence on which much of architecture was built. Traditional Western architecture is too solid, hard, and slow—presenting difficulties for it to adequately adapt to change and uncertainty. A reconceptualization of architecture is necessary, one not focused on the certainty of solutions or forms, but one patterned by the dynamic feedback of human agency and environmental forces. For architecture to adapt, and to adapt to unpredictable circumstances, requires that architecture accept uncertainty in its formulation and materialization. Embracing systems-based thinking, a conceptual model based on the complex systems of granular matter provides a unique approach to architecture’s material and immaterial structures. Architecture will then be critically poised at the edge of chaos, ready to reorganize and evolve towards a new fluid paradigm.

Download Full-text

Physical parametrisation of fire-spotting for operational fire spread models: response analysis with a model based on the Level Set Method

10.5194/gmd-2018-33 ◽

2018 ◽

Author(s):

Inderpreet Kaur ◽

Anton Butenko ◽

Gianni Pagnini

Keyword(s):

Level Set Method ◽

Level Set ◽

Discrete Event ◽

Fire Spread ◽

Response Analysis ◽

System Specification ◽

Time Step ◽

Processing Scheme ◽

Model Based ◽

The Many

Abstract. Fire-spotting is often responsible for a dangerous flare up in the wildfire and causes secondary ignitions isolated from the primary fire zone leading to perilous situations. In this paper a complete physical parametrisation of fire-spotting is presented within a formulation aimed to include random processes into operational fire spread models. This formulation can be implemented into existing operational models as a post-processing scheme at each time step, without calling for any major changes in the original framework. In particular, the efficacy of this formulation has already been shown for wildfire simulators based on an Eulerian moving interface method, namely the Level Set Method (LSM) that forms the baseline of the operational software WRF-SFIRE, and for wildfire simulators based on a Lagrangian front tracking technique, namely the Discrete Event System Specification (DEVS) that forms the baseline of the operational software FOREFIRE. The simple and computationally less expensive parametrisation includes the important parameters necessary for describing the landing behavior of the firebrands. The results from different simulations with a simple model based on the LSM highlight the response of the parametrisation to varying fire intensities, wind conditions and different firebrand radii. The contribution of the firebrands towards increasing the fire perimeter varies according to different concurrent conditions and the simulation results prove to be in agreement with the physical processes. Among the many rigorous approaches available in literature to model the firebrand transport and distribution, the approach presented here proves to be simple yet versatile for application to operational fire spread models.

Download Full-text

Model-based diagnosis of complex systems: Structuring and temporal reasoning

IFAC Proceedings Volumes ◽

10.1016/b978-0-08-041698-4.50012-3 ◽

1991 ◽

Vol 24 (10) ◽

pp. 41-45

Author(s):

T. Hübner

Keyword(s):

Complex Systems ◽

Temporal Reasoning ◽

Model Based

Download Full-text

On Developing Hybrid Modeling Methods using Metamodeling Platforms

International Journal of Information System Modeling and Design ◽

10.4018/ijismd.2015010103 ◽

2015 ◽

Vol 6 (1) ◽

pp. 47-66

Author(s):

Srdjan Zivkovic ◽

Krzystof Miksa ◽

Harald Kühn

Keyword(s):

Complex Systems ◽

Hybrid Modeling ◽

Modeling Languages ◽

Modeling Tools ◽

Analysis And Design ◽

Domain Specific ◽

Modeling Methods ◽

Model Based ◽

Domain Specific Modeling ◽

Specific Modeling

It has been acknowledged that model-based approaches and domain-specific modeling (DSM) languages, methods and tools are beneficial for the engineering of increasingly complex systems and software. Instead of general-purpose one-size-fits-all modeling languages, DSM methods facilitate model-based analysis and design of complex systems by providing modeling concepts tailored to the specific problem domain. Furthermore, hybrid DSM methods combine single DSM methods into integrated modeling methods, to allow for multi-perspective modeling. Metamodeling platforms provide flexible means for design and implementation of such hybrid modeling methods and appropriate domain-specific modeling tools. In this paper, we report on the conceptualization of a hybrid DSM method in the domain of network physical devices management, and its implementation based on the ADOxx metamodeling platform. The method introduces a hybrid modeling approach. A dedicated DSM language (DSML) is used to model the structure of physical devices and their configurations, whereas the formal language for knowledge representation OWL2 is used to specify configuration-related constraints. The outcome of the work is a hybrid, semantic technology-enabled DSM tool that allows for efficient and consistency-preserving model-based configuration of network equipment.

Download Full-text

APPLYING MODEL-BASED SYSTEMS ENGINEERING TO THE DEVELOPMENT OF AUTONOMOUS VESSEL FUNCTIONS

Proceedings of the Design Society: DESIGN Conference ◽

10.1017/dsd.2020.170 ◽

2020 ◽

Vol 1 ◽

pp. 2455-2464

Author(s):

O. Bleisinger ◽

S. Forte ◽

C. Apostolov ◽

M. Schmitt

Keyword(s):

Complex Systems ◽

Systems Engineering ◽

Usage Phase ◽

Model Based ◽

Civil Sector ◽

External Actors ◽

Model Based Systems Engineering ◽

Autonomous Vessel ◽

Operational Aspects

AbstractDeveloping autonomous functions for complex systems leads to high demands on the consideration of dependencies to external actors in the usage phase. In Model-Based Systems Engineering (MBSE), this can be achieved by modelling operational aspects. Operational aspects are model elements and their relationships to each other. In this contribution, modelling of operational aspects with a MBSE-approach will be demonstrated exemplary on a case study related to the development of a yacht with an autonomous docking assistant. Currently modelling operational aspects is not common in the civil sector.

Download Full-text