An Innovative Service Load-Agnostic Structural Light-Weighting Design Optimization Methodology

2021 ◽  
Author(s):  
Kumar B. Kulkarni
Keyword(s):  
Design Optimization ◽  
Service Load ◽  
Light Weighting ◽  
Optimization Methodology

scholarly journals Time-Dependent Reliability-Based Design Optimization Utilizing Nonintrusive Polynomial Chaos

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Yao Wang ◽  
Shengkui Zeng ◽  
Jianbin Guo
Keyword(s):  
Design Optimization ◽  
Structural Reliability ◽  
Polynomial Chaos ◽  
Time Dependent ◽  
Fe Model ◽  
Reliability Based Design Optimization ◽  
Wear Process ◽  
Reliability Based Design ◽  
Optimization Methodology ◽  
Wear Law

Time-dependent reliability-based design optimization (RBDO) has been acknowledged as an advance optimization methodology since it accounts for time-varying stochastic nature of systems. This paper proposes a time-dependent RBDO method considering both of the time-dependent kinematic reliability and the time-dependent structural reliability as constrains. Polynomial chaos combined with the moving least squares (PCMLS) is presented as a nonintrusive time-dependent surrogate model to conduct uncertainty quantification. Wear is considered to be a critical failure that deteriorates the kinematic reliability and the structural reliability through the changing kinematics. According to Archard’s wear law, a multidiscipline reliability model including the kinematics model and the structural finite element (FE) model is constructed to generate the stochastic processes of system responses. These disciplines are closely coupled and uncertainty impacts are cross-propagated to account for the correlationship between the wear process and loads. The new method is applied to an airborne retractable mechanism. The optimization goal is to minimize the mean and the variance of the total weight under both of the time-dependent and the time-independent reliability constraints.

Reliability Based Design Optimization of MEMS Considering Pull-In

2009 ◽  
Vol 131 (6) ◽  
Author(s):  
Michael Raulli ◽  
Kurt Maute
Keyword(s):  
Design Optimization ◽  
Reliability Based Design Optimization ◽  
Micro Electro Mechanical Systems ◽  
Operational Conditions ◽  
Electrostatically Actuated ◽  
Reliability Based Design ◽  
Reliability Method ◽  
Optimization Methodology ◽  
Novel Devices ◽  
Fully Coupled

The increased use of micro-electro-mechanical systems (MEMS) as key components for actuation and sensing purposes in novel devices and systems emphasizes the need for optimal design methods. Stochastic variations in manufacturing and operational conditions must be considered in order to meet performance goals. This study proposes a reliability based design optimization methodology for the design of geometrically complex electrostatically actuated MEMS. The first order reliability method is used for reliability analysis of fully-coupled electrostatic-mechanical problems. A general methodology for predicting the instability phenomenon of pull-in and incorporating it into an automatic optimization process is proposed and verified with analytical and experimental results. The potential of this methodology is illustrated with the design of an analog micromirror.

Reliability-Based Optimal Design of Fluid Filled Tanks Under Seismic Excitation

2003 ◽  
Author(s):  
C. Theodosiou ◽  
P. Aichouh ◽  
S. Natsiavas ◽  
C. Papadimitriou
Keyword(s):  
Optimal Design ◽  
Design Optimization ◽  
Time History ◽  
Base Plate ◽  
Reliability Estimation ◽  
Earthquake Loading ◽  
Soil Flexibility ◽  
Optimization Methodology ◽  
Design Characteristics ◽  
Cylindrical Tanks

This work integrates developments in simplified dynamic modeling of unanchored fluid-filled tanks, stochastic modeling of earthquake loading time histories, probabilistic structural analysis tools, cost analyses, and multi-criteria optimal design formulations for the design optimization of unanchored fluid-filled cylindrical tanks operating in an uncertain seismic environment. An appropriate simplified mechanical model is developed which includes effects from the sloshing at the liquid free surface, the soil flexibility and the separation of the base plate of the tank from its foundation, which occurs during strong ground motion. A class of stochastic processes with frequency content and time-varying intensity characteristics determined by seismological parameters is used to model the earthquake loading time history. The reliability of the cylindrical tank against failure of the shell structure is computed using latest developments in efficient Monte Carlo simulation methods. A multi-criteria design optimization methodology is then used to obtain the optimal design characteristics of the tank system that meet cost and reliability constrains. Issues related to reliability estimation and optimization are addressed. The methodology is useful for optimally designing fluid-filled structures that operate in a seismic environment to withstand earthquakes with minimal social and economical losses during the lifetime of the structure.

scholarly journals Design Optimization Methodology for Planar Transformers for More Electric Aircraft

2021 ◽  
pp. 1-1
Author(s):  
Mohamed Ibrahim Hassan ◽  
Niloufar Keshmiri ◽  
Alan Dorneles Callegaro ◽  
Mario F. Cruz ◽  
Mehdi Narimani ◽  
...  
Keyword(s):  
Design Optimization ◽  
Electric Aircraft ◽  
Optimization Methodology ◽  
More Electric Aircraft

Multi-Disciplinary Conceptual Modeling and Optimization With Uncertainty Effects Consideration

2006 ◽  
Author(s):  
Nan Liu ◽  
Souran Manoochehri ◽  
Chan Yu
Keyword(s):  
Design Optimization ◽  
Conceptual Modeling ◽  
Design System ◽  
Optimization Approach ◽  
Performance Achievement ◽  
Uncertainty Factors ◽  
Target Values ◽  
Optimization Formulation ◽  
Optimization Methodology ◽  
And Performance

A multi-disciplinary modeling and design optimization formulation for uncertainty effects consideration is presented in this paper. The optimization approach considers minimization of uncertainty factors related to the overall system performance while satisfying target requirements specified in the form of constraints. The design problem is decomposed into two analysis systems; performance design and uncertainty effects analysis. Each design system can be partitioned into several subsystems according to the different functions they perform. Performance evaluation is considered by minimizing the variations between specified expected values of performance functions and their target values. Uncertainty effects analysis is defined by minimizing the ratio of the maximum variations caused by uncertainty factors over the expected function values. The entire problem has been treated as a multi-disciplinary design optimization (MDO) for maximum robustness and performance achievement. An electromechanical system is used as an example to demonstrate this optimization methodology.

Pathfinding and Design Optimization of 2.5D/3D devices in the context of multiple PCBs

2014 ◽  
Vol 2014 (DPC) ◽  
pp. 002008-002035 ◽  
Author(s):  
Farhang Yazdani ◽  
John Park
Keyword(s):  
Design Optimization ◽  
Semiconductor Industry ◽  
Product Evaluation ◽  
Early Assessment ◽  
Multiple Systems ◽  
Integration Schemes ◽  
Trade Offs ◽  
Device Integration ◽  
Optimization Methodology ◽  
Cell Placement

As the 2.5D/3D integration technologies shapes the future of semiconductor industry, pathfinding methodology and design optimization of such integration is still at its infancy. 2.5D/3D device integration generates ultra-high density interconnect between the devices. Planning and defining 2.5D/3D I/O cell placement in the context of the overall system is one challenge, optimizing such integration for performance and cost is another challenge. Defining 2.5D/3D partitions and integration feasibility at the early stages of product development is even more pronounced. Often, such early pathfinding feasibility and early assessment of the integration had direct impact on successful product. In this paper, we disclose pathfinding and optimization methodology for integrating 2.5D/3D devices on silicon interposer in the context of multiple PCBs. Various integration schemes are investigated and trade offs are demonstrated. Additionally, we demonstrate constraint based signal assignment for early 2.5D/3D product evaluation and feasibility study. This paper teaches and contributes to rapid integration of 2.5D/3D devices in the context of multiple systems.

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