Byung-Soo Kang
University of Notre Dame
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Featured researches published by Byung-Soo Kang.
AIAA Journal | 2005
Byung-Soo Kang; Gyung-Jin Park; Jasbir S. Arora
Recently, an algorithm for dynamic response optimization transforming dynamic loads into equivalent static loads has been proposed. In later research, it was proved that the solution obtained by the algorithm satisfies the Karush-Kuhn-Tucker necessary conditions. In the present research, the proposed algorithm is applied to the optimization of flexible multibody dynamic systems. The equivalent static load is derived from the equations of motion for a flexible multibody dynamic system. The equivalent load is utilized in sequential static response optimization of the flexible mutibody dynamic system. In the end, the converged solution of the sequential static response optimization is the solution of the original dynamic response optimization. Some standard examples are solved to show the feasibility and efficiency of the proposed method. The control arm of an automobile suspension system is optimized as a practical problem. The results are discussed regarding the application of the proposed algorithm to flexible multibody dynamic systems.
Journal of Mechanical Design | 2009
Neal M. Patel; Byung-Soo Kang; John E. Renaud; Andres Tovar
Crashworthiness design is an evolving discipline that combines vehicle crash simulation and design synthesis. The goal is to increase passenger safety subject to manufacturing cost constraints. The crashworthiness design process requires modeling of the complex interactions involved in a crash event. Current approaches utilize a parametrized optimization approach that requires response surface approximations of the design space. This is due to the expensive nature of numerical crash simulations and the high nonlinearity and noisiness in the design space. These methodologies usually require a significant effort to determine an initial design concept. In this paper, a heuristic approach to continuum-based topology optimization is developed for crashworthiness design. The methodology utilizes the cellular automata paradigm to generate three-dimensional design concepts. Furthermore, a constraint on maximum displacement is implemented to maintain a desired performance of the structures synthesized. Example design problems are used to demonstrate that the proposed methodology converges to a final topology in an efficient manner.
design automation conference | 2006
Neal M. Patel; Byung-Soo Kang; John E. Renaud
Crashworthiness design is an evolving discipline that combines vehicle crash simulation and design synthesis. The goal is to increase passenger safety subject to manufacturing cost constraints. The crashworthiness design process requires the modeling of the complex interactions involved in a crash event. Current approaches utilize a parameterized optimization approach that requires response surface approximations of the design space. This is due to the expensive nature of numerical crash simulations and the high nonlinearity and noisiness in the design space. These methodologies usually require a significant design effort to determine an initial design. In this research, a non-gradient approach to topology optimization is developed for crashworthiness design. The methodology utilizes the cellular automata paradigm to generate a concept design.© 2006 ASME
47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference<BR> 14th AIAA/ASME/AHS Adaptive Structures Conference<BR> 7th | 2006
Neal M. Patel; Byung-Soo Kang; John E. Renaud; Andres Tovar
Crashworthiness design is an evolving discipline that combines vehicle crash simulations and design methodologies. The goal is to increase passenger safety subject to manufacturing cost constraints. The crashworthiness design process requires the modeling of the complex interactions involved in a crash event. Current approaches utilize a parameterized optimization approach that requires response surface approximations of the design space. This is due to the expensive nature of numerical crash simulations and the high nonlinearity and noisiness in the design space. These methodologies usually require a signiflcant design efiort to determine an initial design. In this research, an approach to crashworthiness design that combines topology optimization and the response surface methodology is developed. The methodology makes use of topology optimization for compliant mechanism design to generate a candidate design.
Transactions of The Korean Society of Mechanical Engineers A | 2006
Hyun-Ah Lee; Yong-Il Kim; Byung-Soo Kang; Joo-Sung Kim; Gyung-Jin Park
All the loads in the real world are dynamic loads and structural optimization under dynamic loads is very difficult. Thus the dynamic loads are often transformed to static loads by dynamic factors, which are believed equivalent to the dynamic loads. However, due to the difference of load characteristics, there can be considerable differences between the results from static and dynamic analyses. When the natural frequency of a structure is high, the dynamic analysis result is similar to that of static analysis due to the small inertia effect on the behavior of the structure. However, if the natural frequency of the structure is low, the inertia effect should not be ignored. Then, the behavior of the dynamic system is different from that of the static system. The difference of the two cases can be explained from the relationship between the homogeneous and the particular solutions of the differential equation that governs the behavior of the structure. Through various examples, the difference between the dynamic analysis and the static analysis are shown. Also dynamic response optimization results are compared with the results with static loads transformed from dynamic loads by dynamic factors, which show the necessity of the design considering dynamic loads.
Transactions of The Korean Society of Mechanical Engineers A | 2005
Moon-Kyun Shin; Byung-Soo Kang; Gyung-Jin Park
Recently Multidisciplinary Design Optimization Based on Independent Subspaces (MDOIS), an MDO (multidisciplinary design optimization) algorithm, has been proposed. In this research, an MDO problem is defined for design of a belt integrated seat considering crashworthiness, and MDOIS is applied to solve the problem. The crash model consists of an airbag, a belt integrated seat (BIS), an energy absorbing steering system, and a safety belt. It is found that the current design problem has two disciplines - structural nonlin- ear analysis and occupant analysis. The interdisciplinary relationship between the disciplines is identified and is addressed in the system analysis step in MDOIS. Interdisciplinary variables are belt load and stiffness of the seat, which are determined in system analysis step. The belt load is passed to the structural analysis subspace and stiffness of the seat back frame to the occupant analysis subspace. Determined design vari- ables in each subspace are passed to the system analysis step. In this way, the design process iterates until the convergence criterion is satisfied. As a result of the design, the weight of the BIS and Head Injury Crite- rion (HIC) of an occupant are reduced with specified constraints satisfied at the same time. Since the system analysis cannot be formulated in an explicit form in the current example, an optimization problem is formu - lated to solve the system analysis. The results from MDOIS are discussed.
Structural and Multidisciplinary Optimization | 2006
Byung-Soo Kang; Gyung-Jin Park; Jasbir S. Arora
11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | 2006
Neal M. Patel; Byung-Soo Kang; John E. Renaud
Archive | 2008
Kishore K. Pydimarry; Duane T. Detwiler; John E. Renaud; Neal M. Patel; Byung-Soo Kang; Chandan K. Mozumder
Transactions of The Korean Society of Mechanical Engineers A | 2003
Gyung-Jin Park; Byung-Soo Kang