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Comprehensive sensitivity analysis of repeated eigenvalues and eigenvectors for structures with viscoelastic elements
The paper discusses systems with viscoelastic elements that exhibit repeated eigenvalues in the eigenvalue problem. The mechanical behavior of...
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Topology optimization using an eigenvector aggregate
Topology optimization problems with natural frequency or structural stability criteria often utilize objective or constraint functions computed from...
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Topology optimization for improving stability of a rotating thin plate
Increasing the critical angular speed of a rotating structure can enlarge working range and enhance operating safety. To achieve this purpose, a...
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Accelerating a phase field method by linearization for eigenfrequency topology optimization
Topology optimization of eigenfrequencies has significant applications in science, engineering, and industry. Eigenvalue problems as constraints of...
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An efficient optimization method for transcendental eigenvalue problems based on mode count constraints and heuristic algorithm
An efficient, robust, and versatile optimization method (DSM-MCC-HA) is proposed for transcendental eigenvalue problems by combing the advantages of...
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Smoothing inertial method for worst-case robust topology optimization under load uncertainty
We consider a worst-case robust topology optimization problem under load uncertainty, which can be formulated as a minimization problem of the...
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Reliability-based topology optimization of vibrating structures with frequency constraints
There are many inevitable uncertain parameters in engineering systems, and the ignorance of these random factors results in a remarkable reduction in...
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Sub synchronous resonance analysis of inverter-based wind and solar farms using genetic widow optimization
The extensive and widespread incorporation of wind farms into transmission networks produces many challenges. One of the necessities is to improve...
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A multi-step relay implementation of the successive iteration of analysis and design method for large-scale natural frequency-related topology optimization
Large-scale natural frequency-related topology optimization problems pose a great challenge due to the high computational cost required by the...
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Dynamic topology optimization of flexible multibody systems
Flexible multibody system (FMBS) refers to a mechanical system, which consists of flexible components and kinematic pairs, and undergoes both overall...
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Optimization of the free vibrations of doubly-curved sandwich panels using the artificial bee colony optimization algorithm
This study examines the optimization of double-curved sandwich panels containing composite layers and magnetorheological (MR) fluid cores to...
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Topology optimization design of Chladni patterns for vibration mode manipulability
Classical Chladni patterns (CPs) are visual representations of eigenvectors, which have a wide range of applications in vibration analysis,...
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Optimization
Optimization can be defined in various ways. Simplified perception of optimization as “the art of doing things best”.
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Aeroelastic Optimization of Tapered Wing Structure
A methodology for including maximum flutter speed requirement in the preliminary structural wing design is developed. The problem of minimizing...
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Stability constraints for geometrically nonlinear topology optimization
This paper compares four methods for formulating stability constraints in topology optimization with geometric nonlinearity. The methods are: a...
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Multi-objective optimization on abrasive water jet machining of epoxy/glass fiber/ grinding wheel particle composite through hybrid optimization technique
The prime objective of the study is to optimize the Abrasive Water Jet Machining (AWJM) parameters through a hybrid optimization technique. Surface...
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Yet another parameter-free shape optimization method
The use of node coordinates as design variables in shape optimization offers a larger design space than computer-aided design (CAD)-based shape...
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CSHE: network pruning by using cluster similarity and matrix eigenvalues
Although deep convolutional neural networks (CNNs) have achieved significant success in computer vision applications, the real-world deployment of...
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Isogeometric Refinement for Shape Optimization with a Tunable Number of Variables
The classical funicularity concept for shell structures has been extended defining the Relaxed Funicularity (R-Funicularity). A parameter called...
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Chaotic Thermal Exchange Optimization
The Thermal Exchange Optimization (TEO), is one of the physical algorithms and is inspired by Newton’s law of cooling. This algorithm was introduced...