Mechanical Engineering (MNE) and Engineering Applied Science (EAS) Seminar
When: Thursday,
November 19, 2015
1:00 PM
-
2:00 PM
Where: Textiles Building 101E
Description: Joint Mechanical Engineering (MNE) and Engineering Applied Science (EAS) Seminar
TIME: 1:00 p.m. - 2:00 p.m.
LOCATION: Textile Building, Room 101E
SPEAKER: Dr. Alireza Asadpoure, Assistant Professor of the Civil and Environmental Engineering Department at UMass Dartmouth
TOPIC: Topology Optimization for Structural Engineering and Architected Materials Design
ABSTRACT:
The powerful technique of topology optimization is the perfect tool for the optimal design of structures, as it allows variation of material layout’s boundaries and connectivity to achieve exceptional performance. However, solutions obtained by performing the optimization in a deterministic setting may be suboptimal under real-world engineering conditions subject to inherent variabilities (e.g., manufacturing defects and uncertainties on operating conditions). In this presentation, we will propose a novel computational methodology for topology optimization in the presence of uncertainties associated with structural stiffness, with the overarching goal of minimizing the influence of stochastic variabilities on the topology-optimized solutions (robust topology optimization). Notably, the general technique of topology optimization can also be applied for optimal design of architected materials. As an example, a novel algorithm will be presented for the systematic design of lightweight cellular materials that are optimally tailored for ideal combinations of high stiffness, low density, and high energy absorption under vibrations. Classic homogenization theory is utilized to model the effective stiffness of the microstructure, and the Bloch-Floquet approach allows calculation of its damping capacity. We will show that some of the architectures identified by the proposed topology optimization algorithm outperform any existing materials on the suggested figure of merit.
BIO:
Dr. Asadpoure has recently joined the Department of Civil and Environmental Engineering at the University of Massachusetts Dartmouth. Before joining UMass Dartmouth, he was a postdoctoral researcher in the Mechanics of Materials and Structures group in the Department of Mechanical and Aerospace Engineering at the University of California, Irvine. He received his Ph.D. in structural engineering from the Department of Civil Engineering at the Johns Hopkins University. His research experience and interests are in the field of computational mechanics with emphasis on stochastic modeling and optimization of complex systems and materials. His recent work focuses on developing a computational framework for design of architected materials for different performance metrics including weight, stiffness, and energy absorption.
For more information please contact Dr. Mehdi Raessi, MNE Seminar Coordinator (mraessi@umassd.edu, 508-999-8496).
All are welcome. EAS students are encouraged to attend.
**Students taking MNE-500 are REQUIRED to attend.**
All other MNE students are encouraged to attend (especially MNE seniors and MS students).
Light refreshments will be served.
TIME: 1:00 p.m. - 2:00 p.m.
LOCATION: Textile Building, Room 101E
SPEAKER: Dr. Alireza Asadpoure, Assistant Professor of the Civil and Environmental Engineering Department at UMass Dartmouth
TOPIC: Topology Optimization for Structural Engineering and Architected Materials Design
ABSTRACT:
The powerful technique of topology optimization is the perfect tool for the optimal design of structures, as it allows variation of material layout’s boundaries and connectivity to achieve exceptional performance. However, solutions obtained by performing the optimization in a deterministic setting may be suboptimal under real-world engineering conditions subject to inherent variabilities (e.g., manufacturing defects and uncertainties on operating conditions). In this presentation, we will propose a novel computational methodology for topology optimization in the presence of uncertainties associated with structural stiffness, with the overarching goal of minimizing the influence of stochastic variabilities on the topology-optimized solutions (robust topology optimization). Notably, the general technique of topology optimization can also be applied for optimal design of architected materials. As an example, a novel algorithm will be presented for the systematic design of lightweight cellular materials that are optimally tailored for ideal combinations of high stiffness, low density, and high energy absorption under vibrations. Classic homogenization theory is utilized to model the effective stiffness of the microstructure, and the Bloch-Floquet approach allows calculation of its damping capacity. We will show that some of the architectures identified by the proposed topology optimization algorithm outperform any existing materials on the suggested figure of merit.
BIO:
Dr. Asadpoure has recently joined the Department of Civil and Environmental Engineering at the University of Massachusetts Dartmouth. Before joining UMass Dartmouth, he was a postdoctoral researcher in the Mechanics of Materials and Structures group in the Department of Mechanical and Aerospace Engineering at the University of California, Irvine. He received his Ph.D. in structural engineering from the Department of Civil Engineering at the Johns Hopkins University. His research experience and interests are in the field of computational mechanics with emphasis on stochastic modeling and optimization of complex systems and materials. His recent work focuses on developing a computational framework for design of architected materials for different performance metrics including weight, stiffness, and energy absorption.
For more information please contact Dr. Mehdi Raessi, MNE Seminar Coordinator (mraessi@umassd.edu, 508-999-8496).
All are welcome. EAS students are encouraged to attend.
**Students taking MNE-500 are REQUIRED to attend.**
All other MNE students are encouraged to attend (especially MNE seniors and MS students).
Light refreshments will be served.
Topical Areas: University Community, Bioengineering, College of Engineering, Mechanical Engineering, Physics