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Aman Garg
电 话
邮 箱
aman_garg@hust.edu.cn
办公地点
先进制造大楼B409
个人主页
个人简介
Aman Garg, born in October 1992, India. He received his B.Tech. in Civil Engineering from DCRUST, India in May 2014 and received his Ph.D. from NIT Kurukshetra in November 2022. He is assistant professor in NCU, India since 2022 and is currently on sabbatical leaves. His research areas are finite element and isogeometric modeling of advanced structures, mechanics of advanced structural material, impact analysis of bio-inspired structures, and integration of machine learning for studying the mechanical behavior of advanced materials and structures. he has published more than 70 papers, out of which 4 papers are ESI highly cited articles. He is a technical reviewer of international journals such as Composite Structures, Thin-Walled Structures, Steel and Composite Structures, etc. Doining Date: Sep. 2023 Collaborating Supervisor: Prof. Li Li
研究方向
Finite element analysis Laminated composite structures Bio-inspired structures Machine learning
开设课程
科研项目
论文专著与专利
[1] Garg A, Chalak HD. A review on analysis of laminated composite and sandwich structures under hygrothermal conditions. Thin-Walled Struct 2019; 142: 205-226. https://doi.org/10.1016/j.tws.2019.05.005. [2] Garg A, Belarbi MO, Chalak HD, Chakrabarti A. A review of the analysis of sandwich FGM structures. Compos Struct 2021; 258: 113427. https://doi.org/10.1016/j.compstruct.2020.113427. [3] Garg A, Belarbi MO, Tounsi A, Li L, Singh A., Mukhopadhyay T. Predicting elemental stiffness matrix of FG nanoplates using Gaussian Process Regression based surrogate model in framework of layerwise model. Eng Anal Bound Elem. 2022; 143: 779–795 https://doi.org/10.1016/j.enganabound.2022.08.001. [4] Garg A, Aggarwal P, Aggarwal Y, Belarbi MO, Chalak HD, Tounsi A, Gulia R. Machine learning models for predicting the compressive strength of concrete containing nano silica. Comput Concr. 2022; 30(1): 33-42 https://doi.org/10.12989/cac.2022.30.1.033. [5] Sharma A, Tonk A, Garg A, Li L, Chalak HD. First-ply failure analysis of bio-inspired double and cross helicoidal laminated sandwich plates. AIAA J. 2023; 61(11): 5087-5095. https://doi.org/10.2514/1.J063176. [6] Sabherwal P, Belarbi MO, Raman R, Garg A, Li L, Chalak HD, Houari MSA, Avcar M. Free vibration analysis of laminated sandwich plates using wavelet finite element method. AIAA J. 2024; 62(2); 824-832. https://doi.org/10.2514/1.J063364. [7] Garg A, Li L. Data-driven uncertainty quantification and sensitivity studies in free vibration behavior of bio-inspired helicoidal laminated composite cylindrical shells. Mech Adv Mater Struct. 2024. https://doi.org/10.1080/15376494.2024.2355369. [8] Garg A, Sharma, A, Zheng W, Li L. Dactyl club and nacre-inspired impact resistant behavior of layered structures: A review of present trends and prospects. Materials Today Communications. 2024; 41: 110553. https://doi.org/10.1016/j.mtcomm.2024.110553. [9] Garg A, Shukla NK, Belarbi M.O., Barnawi AB, Raman R, Sharma A, Li L. Free vibration analysis of bio-inspired helicoidal laminated composite square and annular plates having circular cut outs using isogeometric analysis. Structures 2024; 69: 107429. https://doi.org/10.1016/j.istruc.2024.107429. [10] Sharma A, Li L, Garg A, Lee BS. Probe into the volumetric properties of binary mixtures: Essence of regression-based machine learning algorithms. J Mol Liq. 2024; 399:124498. https://doi.org/10.1016/j.molliq.2024.124498.
荣誉获奖
[1] Recipient of “Advanced Materials Young Scientist” conferred by “International Association of Advanced Materials” in recognition for contribution to “Structural & Engineering Materials” in Sweden on 29 – 31 October 2024. [2] Received best invited oral presentation award at “International Conference on Defence Technology, Xi’an, China, 2024”. [3] Recognized in the top 2% of scientists globally, as published by Stanford University in 2023 released Single Recent Year Impact ranking.
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