Progressive design of gradually stiffer metamaterial using surrogate model

Ye, Mengli; Li, Hao; Cai, Xiwen; Gao, Liang; Zhang, Anfu; Zhao, Zeyu

doi:10.1016/j.compstruct.2021.113715

Cited by 13 publications

(4 citation statements)

References 40 publications

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“…For the parametric optimization of chiral metamaterials based on the surrogate model, first, a reasonable sample space was designed. The sampling points were initially selected as input variables in the sample space using the Latin hypercube sampling method [ 42 ]. Each sampling point was distributed as uniformly as possible in the sample space to ensure the global validity of the surrogate model throughout the entire design space.…”

Section: Parametric Optimization Of Chiral Metamaterialsmentioning

confidence: 99%

A Novel Design Method for Energy Absorption Property of Chiral Mechanical Metamaterials

Gao

Wang

et al. 2021

Materials

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In this paper, a full-cycle interactive progressive (FIP) method that integrates topology optimization, parametric optimization, and experimental analysis to determine the optimal energy absorption properties in the design of chiral mechanical metamaterials is proposed. The FIP method has improved ability and efficiency compared with traditional design methods due to strengthening the overall design, introducing surrogate models, and its consideration of the application conditions. Here, the FIP design was applied in the design of mechanical metamaterials with optimized energy absorption properties, and a chiral mechanical metamaterial with good energy absorption and impact resistance was obtained based on the rotation mechanism of metamaterials with a negative Poisson’s ratio. The relationship among the size parameters, applied boundary conditions, and energy absorption properties were studied. An impact compression experiment using a self-made Fiber Bragg Grating sensor was carried out on the chiral mechanical metamaterial. In light of the large deviation of the experimental and simulation data, a feedback adjustment was carried out by adjusting the structural parameters to further improve the mechanical properties of the chiral mechanical metamaterial. Finally, human–computer interaction, self-innovation, and a breakthrough in the design limits of the optimized model were achieved. The results illustrate the effectiveness of the FIP design method in improving the energy absorption properties in the design of chiral mechanical metamaterials.

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Section: Parametric Optimization Of Chiral Metamaterialsmentioning

confidence: 99%

A Novel Design Method for Energy Absorption Property of Chiral Mechanical Metamaterials

Gao

Wang

et al. 2021

Materials

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“…Following the recent advances in the data-driven and machine learning (ML) technological elds, it has been now technically feasible to use surrogate models for computationally expensive optimization (Kim & Boukouvala, 2020;Luo et al, 2019). Recently, a variety of ML models have been employed for surrogates (e.g., radial basis function networks, arti cial neural networks, kriging model), replacing timeor resource-intensive numerical simulations or physical experiments, such as experiments for progressive design of gradually stiffer metamaterial and aerodynamic design based on computational uid dynamic (CFD) simulations, and then drive the EAs for iterative optimization (Jin et al, 2019;Ye et al, 2021). According to whether new data is allowed to be actively generated by the EAs, data-driven is divided into o ine and online methodologies.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Model and Data Driven Evolutionary Algorithm Based Coordinated Optimal Operation Method of a Multi-Dam Flood Control System

Hou

et al. 2022

Preprint

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Coordinated flood control operation of dams in a river is an optimization problem with competing decision objectives and introduces risks for decision making. Taking into account upstream and downstream flood risks, a novel method for multi-objective dam optimal operation is proposed in this study based on the hydrodynamic model and data driven evolutionary algorithm. In the proposed method, a flood control system based on hydrodynamic model was developed to simulate flood propagation and provide hydraulic characteristics, and were combined with the multi-objective particle swarm optimization (MOPSO) algorithm to design operation rules. In addition, to improve computational efficiency of the optimal operation method, the Kriging model was coupled into the optimization process to assist in the selection of potential non-dominated solutions for exact objective function evaluation. This drives the MOPSO algorithm for solution and greatly reduces unnecessary reliability evaluation. The proposed method was applied to a real flood control system of the rivers in the urban city of Chengdu, China. The results show that the developed optimal operation method is able to accurately evaluate the flood propagation using the hydrodynamic model and provide optimal operation schedules. The Pareto front of the proposed objectives demonstrates the trade-off between the competing objectives to minimize risks while satisfying flood protection requirements. The new method could provide reliable guidance for flood control scheduling of dams in flood season, and the decision makers can select the operation rules according to their risk preference.

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“…It is difficult to complete a complex model description of porous acoustic metamaterials using conventional acoustic materials. Therefore, this study improves the traditional optimization design method and proposes a full-cycle interactive progressive (FIP) design scheme for porous acoustic metamaterials [ 10 , 11 ]. FIP design is a full-cycle optimization method that seeks the optimal design in a gradient and interactively adjusts the design direction [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Novel Design Scheme for Structural Fundamental Frequency of Porous Acoustic Metamaterials

Zhou

et al. 2022

Materials

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Structural resonance increases the vibration and noise of porous acoustic metamaterials while reducing the energy consumption and conversion efficiency of acoustic waves. Therefore, structural fundamental frequency of porous acoustic metamaterials is required to be controlled to avoid resonance. This study proposes a full-cycle interactive progressive (FIP) design scheme for porous acoustic metamaterials. The FIP design scheme first establishes a specific parameter relationship for the initial model based on the intentions of the designers. The initial model is then dynamically adjusted through a series of optimization processes. In particular, the FIP design scheme is developed for a porous acoustic metamaterial in an acoustic-structure interaction system. The effects of the structural parameters and applied boundary conditions of the porous acoustic metamaterial on the structural fundamental frequency are investigated. A surrogate model is introduced to reduce the calculation costs and improve the design efficiency of the parametric optimization. The frequency-modulation acoustic metamaterial is tailored to improve its acoustic and vibrational characteristics, including the resonance resistance and low dynamic response. The features of the FIP design scheme in the optimized design of porous acoustic metamaterials are demonstrated.

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Progressive design of gradually stiffer metamaterial using surrogate model

Cited by 13 publications

References 40 publications

A Novel Design Method for Energy Absorption Property of Chiral Mechanical Metamaterials

A Novel Design Method for Energy Absorption Property of Chiral Mechanical Metamaterials

Hydrodynamic Model and Data Driven Evolutionary Algorithm Based Coordinated Optimal Operation Method of a Multi-Dam Flood Control System

Novel Design Scheme for Structural Fundamental Frequency of Porous Acoustic Metamaterials

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