A deep learning model for the topological design of 2D periodic wave barriers

被引：11

作者：

Liu, Chen-Xu ^{[1
]}

Yu, Gui-Lan ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China

来源：

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING | 2022年 / 37卷 / 04期

基金：

中国国家自然科学基金;

关键词：

VIBRATION CONTROL; NEURAL-NETWORKS; OPTIMIZATION;

D O I：

10.1111/mice.12743

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study presents a new deep learning (DL) model to design topological configurations of periodic wave barriers to meet different target frequencies and site conditions. The new DL model is composed of an auto-encoder (AE) and a conditional variational AE, and 230,000 sets of data are generated for training, validating, and testing it. The designed results are in good agreement with the targets, and it only takes a few seconds to complete a design. Two barriers are designed by the proposed method for two practical examples, and the vibrations in peak frequency ranges are attenuated. The DL model makes the design of periodic wave barriers smarter and more efficient.

引用

页码：451 / 469

页数：19

共 54 条

[1] A dynamic ensemble learning algorithm for neural networks [J].

Alam, Kazi Md Rokibul ;

Siddique, Nazmul ;

Adeli, Hojjat .

NEURAL COMPUTING & APPLICATIONS, 2020, 32 (12) :8675-8690

[2] Structural health monitoring using extremely compressed data through deep learning [J].

Azimi, Mohsen ;

Pekcan, Gokhan .

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2020, 35 (06) :597-614

[3] Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks [J].

Cha, Young-Jin ;

Choi, Wooram ;

Buyukozturk, Oral .

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2017, 32 (05) :361-378

[4] Locally resonant periodic structures with low-frequency band gaps [J].

Cheng, Zhibao ;

Shi, Zhifei ;

Mo, Y. L. ;

Xiang, Hongjun .

JOURNAL OF APPLIED PHYSICS, 2013, 114 (03)

[5] Predictive and generative machine learning models for photonic crystals [J].

Christensen, Thomas ;

Loh, Charlotte ;

Picek, Stjepan ;

Jing, Li ;

Fisher, Sophie ;

Ceperic, Vladimir ;

Joannopoulos, John D. ;

Soljacic, Marin ;

Jakobovic, Domagoj .

NANOPHOTONICS, 2020, 9 (13) :4183-4192

[6] Topology optimization of two-dimensional asymmetrical phononic crystals [J].

Dong, Hao-Wen ;

Su, Xiao-Xing ;

Wang, Yue-Sheng ;

Zhang, Chuanzeng .

PHYSICS LETTERS A, 2014, 378 (04) :434-441

[7] Numerical analysis of buried trench in screening surface vibration [J].

Feng, Shijin ;

Li, Jianping ;

Zhang, Xiaolei ;

Chen, Zhangiong ;

Zheng, Qiteng ;

Zhang, Dongmei .

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2019, 126

[8] Deep convolutional neural networks for eigenvalue problems in mechanics [J].

Finol, David ;

Lu, Yan ;

Mahadevan, Vijay ;

Srivastava, Ankit .

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2019, 118 (05) :258-275

[9] Harnessing uniaxial tension to tune Poisson's ratio and wave propagation in soft porous phononic crystals: an experimental study [J].

Gao, Nan ;

Li, Jian ;

Bao, Rong-hao ;

Chen, Wei-qiu .

SOFT MATTER, 2019, 15 (14) :2921-2927

[10] Method of multi-mode vibration control for the carbody of high-speed electric multiple unit trains [J].

Gong, Dao ;

Zhou, Jinsong ;

Sun, Wenjing ;

Sun, Yu ;

Xia, Zhanghui .

JOURNAL OF SOUND AND VIBRATION, 2017, 409 :94-111

← 1 2 3 4 5 6 →