An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations
Reliability analysis can be particularly challenging when performance functions require time-consuming simulations. Such simulations often involve multiple fidelity sources. This paper aims to enhance the efficiency of reliability analysis by ...
Design optimization of elastic metamaterials with multilayered honeycomb structure by Kriging surrogate model and genetic algorithm
The bandgap properties of elastic metamaterials can be efficiently utilized to tailor the propagation characteristics of elastic and acoustic waves, which have promising applications in noise and vibration reduction and isolation. In this paper, ...
Linear and nonlinear topology optimization of origami structures based on crease pattern and axial rigidity
Origami structures exhibit desirable stowage properties for application in deployable space structures. This work aims to improve a design methodology for origami structures using topology optimization. The objective is to find the optimal ...
A hybrid machine learning and evolutionary approach to material selection and design optimization for eco-friendly structures
In an increasingly competitive and digital industrial environment, the optimization of structures is a key point not only to reduce costs but also to reduce the consumption of natural resources. To this end, different approaches have emerged ...
Multi-material topology optimization based on enhanced alternating active-phase algorithm
The alternating active-phase algorithm (AAPA) is widely recognized as being efficient for multi-material topology optimization. It has the advantages of easy implementation and broad applicability, but faces shortcomings, such as a uniform ...
Isogeometric topology optimization of structures using the overweight approach
In this paper, a 2D isogeometric formulation of the material distribution for structural topology optimization considering minimum weight and local stress constraints using the overweight approach is proposed. The aim of this isogeometric ...
Lightworks, a scientific research framework for the design of stiffened composite-panel structures using gradient-based optimization
Efficient structural optimization remains integral in advancing lightweight structures, particularly concerning the mitigation of environmental impact in air transportation systems. Varying levels of detail prove useful for different applications ...
Topology optimization of broadband acoustic transition section: a comparison between deterministic and stochastic approaches
This paper focuses on the topology optimization of a broadband acoustic transition section that connects two cylindrical waveguides with different radii. The primary objective is to design a transition section that maximizes the transmission of a ...
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this context, different approaches can be used to build the mixed-categorical GP. Many of these approaches ...
Multiscale topology optimization of an electromechanical dynamic energy harvester made of non-piezoelectric material
In this work, a novel multiscale topology optimization method has been proposed for the design of electromechanical energy-harvesting systems converting mechanical vibrations into electric currents made of non-piezoelectric materials. At the ...
Topology optimization of radial flow field PEM fuel cells for enhancing water management
This paper investigates the application of topology optimization to enhance the flow field of circular Proton Exchange Membrane Fuel Cells (PEMFCs) by considering a water management model. Given the high computational demands of such a method, the ...
Non-parametric geometry patching technique for MMC topology optimization
MMC is one of the topology optimization methods that provides explicit boundary description of the optimized topology. However, due to the inherent nature of MMC, the obtained geometry could exhibit distinct local singularities. To cope with this ...
Mesh adaptive-based parametric level set method for the design of heat sink based on two-layer thermal-fluid system
In topology optimization of the microchannel heat sink, the minimum width of flow channels are constrained by the mesh size. To reduce the constraint of finite element mesh on the optimized structure, this paper proposes a mesh adaptive strategy ...
Mapping structural topology optimization problems to quantum annealing
Quantum computing (QC) is a rapidly growing technology in the field of computation that has garnered significant attention in recent years. This emerging technology has become particularly relevant due to the increasing complexity of optimization ...
A graph-based methodology for constructing computational models that automates adjoint-based sensitivity analysis
The adjoint method provides an efficient way to compute sensitivities for system models with a large number of inputs. However, implementing the adjoint method requires significant effort that limits its use. The effort is exacerbated in large-...
Dual multi-objective optimization design method for compliant guide mechanism
In this paper, a dual multi-objective optimization design method for compliant mechanism is proposed, and a new compliant guide mechanism is designed by using this method. The method combines the local optimization of multi-objective optimization ...
On optimization of lightweight planar frame structures: an evolving ground structure approach
We consider the problem of designing lightweight, load-bearing planar frame structures for additive manufacturing, which can be formulated as a nonlinear, non-convex mathematical programming problems. Even using state-of-the-art commercial solvers,...
Machine learning accelerated MMC-based topology optimization for sound quality enhancement of serialized acoustic structures
A key requirement for product design is the ability to capture the physical features of structures quickly and efficiently. One way to achieve this purpose is to use machine learning to support topology optimization. However, due to the diversity ...