• 師資力量
    教師名錄

    孟增

    2021/02/08

    性別:

    學位:博士

    職稱:副教授,博碩導

    系部:工程力學系

    郵箱:mengz@hfut.edu.cn

    主頁:/

    方向:結構可靠性分析、優化設計、增材制造

    招生:每年擬招收2-3名具有力學,土木,材料等工科背景的同學報考碩士研究生和博士研究生,歡迎有志青年才俊加盟課題組。

    個人簡介

    面向航天加筋板殼、土木塔式起重機等復雜工程結構。開展不確定性結構優化、土木和航天結構分析及優化設計、結構拓撲優化相關的先進設計理論與方法。主持國家自然科學基金兩項、合肥工業大學優秀青年人才培育計劃A項目1項(年度全校僅5人)。獲得安徽省力學協會科技進步一等獎。入選全球前2%頂尖科學家榜單(美國斯坦福大學發布)。發表高水平國際期刊論文50余篇,谷歌被引1300余次。國際多學科優化協會會員,中國力學學會會員。 

    教育背景

    2005/09–2009/06,蘭州大學,理論與應用力學,學士

    2009/09–2011/06,大連理工大學,工程力學,碩士(碩博連讀)

    2011/09–2015/10,大連理工大學,工程力學,博士(碩博連讀)

    工作經歷

    2015/10–2017/12,合肥工業大學,土木與水利工程學院,講師

    2018/12–至  今,合肥工業大學,土木與水利工程學院,副教授

    2020/10–至  今,合肥工業大學,土木與水利工程學院,博導

    科研項目

    [1] 國家自然科學基金面上項目,功能梯度板殼的高置信度混合不確定性分析及拓撲優化設計, 2020/01-2023/12,主持.

    [2] 優秀青年人才培育計劃A項目,高置信度結構可靠性拓撲優化算法研究, 2020/01-2022/12,主持.

    [3] 國家自然科學青年科學基金,含缺陷加筋薄壁結構的全局可靠性優化設計方法研究, 2017/01-2019/12,主持.

    [4] 安徽省自然科學青年科學基金,加筋筒殼結構后驗可靠性優化設計方法研究, 2017/01-2019/12,主持.

    [5] 國家重點實驗室開放課題項目,多源不確定性下工業機器人定位精度時變可靠性分析及優化設計, 2020/09-2022/12,主持.

    獲得獎勵

    [1] 復雜系統可靠性優化設計方法及應用研究,安徽省力學學會力學科技進步獎,2020,排名1/2

    代表成果

    [1] Meng Z, Li G, Wang X, Sait S M, Y?ld?z A R. A Comparative Study of Metaheuristic Algorithms for Reliability-Based Design Optimization Problems [J]. Archives of Computational Methods in Engineering, 2021, 28 (3): 1853-1869.

    [2] Meng Z, Pang Y, Pu Y, Wang X. New hybrid reliability-based topology optimization method combining fuzzy and probabilistic models for handling epistemic and aleatory uncertainties [J]. Computer Methods in Applied Mechanics and Engineering, 2020, 363 112886.

    [3] Meng Z, Zhang Z H, Zhou H L, et al. Robust design optimization of imperfect stiffened shells using an active learning method and a hybrid surrogate model [J]. Engineering Optimization, 2020, 52 (12): 2044-2061.

    [4] Meng Z, Zhang Z, Zhou H. A novel experimental data-driven exponential convex model for reliability assessment with uncertain-but-bounded parameters [J]. Applied Mathematical Modelling, 2020, 77 773-787.

    [5] Meng Z, Zhang Z, Li G, et al. An active weight learning method for efficient reliability assessment with small failure probability [J]. Struct Multidisc Optim, 2020, 61 (3): 1157-1170.

    [6] Meng Z, Zhang D, Li G, et al. An importance learning method for non-probabilistic reliability analysis and optimization [J]. Struct Multidisc Optim, 2019, 59 (4): 1255-1271.

    [7] Meng Z, Zhang Z H, Zhang D Q, Yang D X. An active learning method combining Kriging and accelerated chaotic single loop approach (AK-ACSLA) for reliability-based design optimization [J]. Computer Methods in Applied Mechanics and Engineering, 2019, 357 (12): 112570.

    [8] Meng Z, Zhou H. New target performance approach for a super parametric convex model of non-probabilistic reliability-based design optimization [J]. Computer Methods in Applied Mechanics and Engineering, 2018, 339 (9): 644-662.

    [9] Meng Z, Hu H, Zhou H. Super parametric convex model and its application for non-probabilistic reliability-based design optimization [J]. Applied Mathematical Modelling, 2018, 55 (3): 354-370.

    [10] Meng Z, Zhou H L, Hu H, et al. Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization [J]. Applied Mathematical Modelling, 2018, 62 (10): 562-579.

    [11] Meng Z, Li G, Yang D, Zhan L. A new directional stability transformation method of chaos control for first order reliability analysis [J]. Struct Multidisc Optim, 2017, 55 (2): 601-612.

    [12] Meng Z, Pu Y, Zhou H. Adaptive stability transformation method of chaos control for first order reliability method [J]. Engineering with Computers, 2017, DOI: 10.1007/s00366-017-0566-2

    [13] Meng Z, Zhou H, Li G, et al. A hybrid sequential approximate programming method for second-order reliability-based design optimization approach [J]. Acta Mechanica, 2017, 228(5): 1965-78.

    [14] Meng Z, Zhou HL, Li G, et al. A decoupled approach for non-probabilistic reliability-based design optimization [J]. Computers & Structures, 2016, 175(10): 65-73.

    [15] Meng Z, Li G, Wang B P, Hao P. A hybrid chaos control approach of the performance measure functions for reliability-based design optimization [J]. Computers & Structures, 2015, 146 (1): 32-43.


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