Blacksburg, VA, United States
Blacksburg, VA, United States

Time filter

Source Type

Flager F.,Stanford University | Soremekun G.,Phoenix Integration Inc. | Adya A.,Bentley Systems Inc. | Shea K.,ETH Zurich | And 2 more authors.
Computers and Structures | Year: 2014

Fully Constrained Design (FCD) is a new method for discrete sizing optimization of steel structures that balances computational efficiency with solution quality for application to large-scale problems. The proposed method is based on optimality criteria, but does not require gradient information and handles discrete variables. Based on benchmarking studies, FCD produces superior quality solutions to optimality criteria (>4%), but inferior to heuristic methods (<2%). FCD is approximately 10× less computationally efficient than optimality criteria and 100× more efficient than heuristic methods. We present a successful industry application of FCD that yields cost savings of 19% compared to conventional design methods. © 2014 Elsevier Ltd. All rights reserved.


Kim H.,Phoenix Integration Inc. | Fried D.,Phoenix Integration Inc. | Menegay P.,Phoenix Integration Inc.
12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | Year: 2012

In the development of complex systems, a large gap exists between systems engineering activities and domain-level engineering analysis. This gap limits the use of accurate disciplinary and multidisciplinary engineering analysis, resulting in failures to meet system requirements and cost overruns. An integrated toolset was developed that bridges the gap through the integration of a SysML tool and a process integration and design optimization framework. The integrated capability enables engineers to quickly evaluate system configurations using realistic analysis models. This ability was combined with requirements conformance analysis techniques, which automatically highlighted unsatisfied requirements. It allows the design team to rapidly respond to inevitable changes in requirements and gives them the ability to perform continuous analysis, simulation, and trade-studies throughout the design process. © 2012 by Hongman Kim.


Kim H.,Phoenix Integration Inc. | Fried D.,Phoenix Integration Inc. | Menegay P.,Phoenix Integration Inc. | Soremekun G.,Phoenix Integration Inc.
ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2012 | Year: 2012

Model-based systems engineering (MBSE) is an approach to improve traditional document-based systems engineering approach through the use of a system model. In the current practice of system developments, there exists a large gap between systems engineering activities and engineering analyses, because systems engineers and engineering analysts are using different models, tools and terminology. The gap results in inefficiencies and quality issues that can be very expensive. This work presents an integrated modeling and analysis capability that bridges the gap. The technical approach is based on integrating SysML modeling tools with process integration and design optimization framework. This approach connects SysML models with various engineering analysis tools through a common interface. A capability was developed to automatically generate analysis models from a system model and then execute the analytical models. Requirements conformance analysis was performed using results of engineering analysis. A technique was developed to define optimization problems in SysML, where requirements were used as design constraints. The integrated system modeling and analysis capability was demonstrated using an automobile brake pad design example. The integrated toolset was used to understand impacts of requirements changes in the SysML model and to find a new design that meets the new requirements through engineering design optimization. Copyright © 2012 by ASME.


Kim H.,Phoenix Integration Inc. | Fried D.,Phoenix Integration Inc. | Soremekun G.,Phoenix Integration Inc.
SAE International Journal of Materials and Manufacturing | Year: 2014

Performing system-level trade studies during the design of complex systems has many benefits in terms of performance, reliability, and cost. However, current engineering practices often do not facilitate system-level trade studies because system specifications and requirements are not connected to analytical models that are used to predict performance and cost. To bridge the gap, authors have created a bridge between system architecture models and engineering analyses. This work extends the bridge between the system modeling language (SysML) and engineering analyses to support the use of parts catalogs from system architecture models. Complex systems such as automobiles are seldom created from scratch. Rather, there are many off-the-shelf parts and subsystems available. Combined with the bridge between SysML and engineering analyses, parts catalog data available from system models enables evaluating many different configurations of a system and identifying best designs. The technical approach is demonstrated using an automobile brake design example. The integrated approach allowed generating a large number of design configurations and evaluating those using engineering analyses. Multidimensional point cloud visualization techniques were applied to identify trade-offs between cost and system performance. It is discussed how the interactive point cloud visualization technique can be used to perform requirements change impact analysis. © 2014 SAE International.

Loading Phoenix Integration Inc. collaborators
Loading Phoenix Integration Inc. collaborators