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歡迎訪問貴州大學機械工程學院!

陶猛

發(fā)布時間:2018-03-19瀏覽次數(shù):16564

陶猛

博士生導師,碩士生導師

所屬院系:車輛工程系

專業(yè)方向:機械設(shè)計及理論,機械制造及其自動化,機械工程

電子郵件:tomn_in@163.com

教育背景

1999-2003,上海交通大學機械與動力工程學院,本科

2003-2009,上海交通大學船舶海洋與建筑工程學院,博士

工作經(jīng)歷

2009-2011,上海交通大學機械工程學院,博士后

2011-2014,貴州大學機械工程學院,副教授

2015-至今,貴州大學機械工程學院,教授

研究方向

聲學振動功能器件的智能優(yōu)化設(shè)計

高性能聲學超材料、超結(jié)構(gòu)、超表面

輕量化結(jié)構(gòu)振動與噪聲控制

--固耦合動力學與控制

招生專業(yè)

機械設(shè)計及理論,機械制造及其自動化,機械工程

科研項目

[1] 國家自然科學基金,面向深水環(huán)境的低頻寬帶吸聲覆蓋層設(shè)計與研究,2023-2026,主持

[2] 國家自然科學基金,多自由度低頻抑振器的抑振降噪機理研究,2018-2021,主持

[3] 國家自然科學基金,粘彈性多胞結(jié)構(gòu)抗沖降噪一體化設(shè)計研究,2014-2017,主持

[4] 國家自然科學基金,基于聲管測量的粘彈性介質(zhì)的參數(shù)識別方法和優(yōu)化設(shè)計研究,2014-2016,主持

[5] 貴州省百層次創(chuàng)新型人才項目,2016-2020,主持

[6] 貴州省科技廳基礎(chǔ)研究重點項目,水下多功能分層復合黏彈性覆蓋層聲學特性研究,2020-2023,主持

[7] 教育部高校博士點基金,粘彈性材料動態(tài)力學參數(shù)的測量方法和優(yōu)化設(shè)計研究,2013-2016,主持

[8] 中國船舶集團有限公司系統(tǒng)工程研究院,不同應用條件下聲學材料的能量耗散特性研究,2022-2023,主持

[9] 中國船舶集團有限公司系統(tǒng)工程研究院,多種尺度聲腔結(jié)構(gòu)組合對阻尼材料參數(shù)需求分析,2021-2022,主持

[10] 中國船舶集團有限公司系統(tǒng)工程研究院,高靜水壓力下XSW壓縮形變計算模塊開發(fā),2021-2022,主持

[11] 中國船舶集團有限公司七一二研究所,大潛深XSW設(shè)計方案論證及聲學性能仿真模擬計算研究,2017-2018,主持

[12] 貴州省教育廳優(yōu)秀科技創(chuàng)新人才計劃項目,2014-2016,主持

[13] 機械系統(tǒng)與振動國家重點實驗室開放基金,靜壓環(huán)境中粘彈性-彈性雙層復雜圓柱殼體的聲振特性和優(yōu)化研究,2013-2015,主持

[14] 海洋工程國家重點實驗室開放基金,靜壓下敷設(shè)吸聲層的典型目標的回聲特性變異研究,2012-2014,主持

[15] 貴州省科技基金,新型周期板架結(jié)構(gòu)的抑振隔聲特性研究,2012-2014,主持

代表性論文

[1] Li Zhaoyu, Sun Yiping, Wu Guanghua, Tao Meng*. Inverse design of broadband acoustic metasurfaces for reflective wavefront modulation through the topology optimization method. Applied Acoustics, 2023

[2] Li Zhaoyu, Ke Yibo, Wu Guanghua, Tao Meng*. Topology optimization combined with a genetic algorithm to design structured materials for underwater broadband acoustic absorption. Journal of Vibration and Control, 2022

[3] Wu Guanghua, Ke Yibo, Zhang Lin, Tao Meng *. Acoustic manipulation of fractal metamaterials with negative properties and near-zero densities. Applied Physics Express, 2022

[4] Sun Yiping, Bai Qiang, Zhao Xuefeng, Tao Meng*. Predicting the reflection coefficient of a viscoelastic coating containing a cylindrical cavity based on an artificial neural network model. Computer Modeling in Engineering & Sciences, 2022

[5] Zhang Chao, Ling Mingxiang, Tao Meng*. A block matrix-based precise integration algorithm for solving nonhomogeneous dynamic response. Journal of Computational and Nonlinear Dynamics, 2022

[6] Wu Guanghua, Ke Yibo, Zhang Lin, Tao Meng*. Acoustic metamaterials with zero-index behaviors and sound attenuation. Journal of Physics D: Applied Physics, 2022

[7] Fu Lei, Yang Ming, Sun Yiping, Tao Meng*. The genetic algorithm-based optimization method for the geometric and material parameters of underwater anechoic coating. IEEE Access, 2022

[8] Ke Yibo, Li Zhaoyu, Wu Guanghua, Zhang Lin, Tao Meng*. A foldable underwater acoustic meta-structure with broadband sound absorption at low frequency. Applied Physics Express, 2022

[9] Sun Yiping, Chen Jiadui, Bai Qiang, Zhao Xuefeng, Tao Meng*. A high-efficiency inversion method for the material parameters of an alberich-type sound absorption coating based on a deep learning model. Computer Modeling in Engineering & Sciences, 2022

[10] Sun Yiping, Li Zhaoyu, Chen Jiadui, Zhao Xuefeng, Tao Meng*. Variational autoencoder-based cavity shape optimization of an anechoic coating: an efficient- and neural network-based design. Materials Today Communications, 2022

[11] Li Zhaoyu, Hou Xiaoyuan, Ke Yibo, Tao Meng*. Topology optimization with a genetic algorithm for the structural design of composite porous acoustic materials. Applied Acoustics, 2022

[12] Zhang Lin, Ke Yibo, Wu Guanghua, Tao Meng*. Sound-absorption performance of a coupled square-neck embedded Helmholtz resonator. Japanese Journal of Applied Physics, 2022

[13] Wu Guanghua, Li Zhaoyu, Tao Meng*. Acoustic extraordinary transmission based on near-zero-index metamaterials. Applied Physics Express, 2022

[14] Ke Yibo, Zhang Lin, Zhao Xuefeng, Tao Meng*. An equivalent method for predicting acoustic scattering of coated shell using identified viscoelastic parameters of anechoic coating. Applied Acoustics, 2021

[15] Tao Meng*, Ye Hanfeng, Zhao Xuefeng. Acoustic performance prediction of anechoic layer using identified viscoelastic parameters. Journal of Vibration and Control, 2019

[16] Tao Meng. Simplified model for predicting acoustic performance of an underwater sound absorption coating. Journal of Vibration and Control, 2014

[17] Tao Meng *, Hua Hongxing. Improved low-frequency performance of a composite sound absorption coating. Journal of Vibration and Control, 2012

[18] Tao Meng *, Tang Weilin, Hua Hongxing. Noise reduction analysis of an underwater decoupling layer, Journal of Vibration and Acoustics, 2010






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