Dr. Try Meng, AutoritΓ© de sΓ»retΓ© nuclΓ©aire et de radioprotection (ASNR), France
Dr. Try Meng, born on December 5, 1991, in Phnom Penh, Cambodia, is a Civil Engineer with expertise in finite element methods, thermo-hydro-mechanical coupling, and non-linear concrete and steel behavior. He holds a Ph.D. in Civil Engineering from INSA-Rennes and works as a researcher at ASNR/DES/LMAPS. His research focuses on seismic behavior of nuclear reinforced concrete structures and numerical modeling of concrete containment buildings. Dr. Meng has contributed to various publications, including in Engineering Structures and Kerntechnik. He is fluent in Khmer, French, English, and Chinese. His technical skills include Castem, Fortran, Abaqus, and more. ππ
Publication Profile
Scopus
Educational Background
Dr. Try Meng completed his Ph.D. in Civil Engineering at INSA-Rennes from 2017 to 2021, focusing on advanced engineering techniques. Prior to that, he earned a Masterβs degree in Mechanical Engineering and Science for Engineers at INSA-Rennes (2016-2017). He also holds a Bachelorβs degree in Civil Engineering from the Institute of Technology Cambodia (ITC), completed between 2011 and 2016. Dr. Meng’s extensive academic background has equipped him with deep expertise in civil engineering and research, particularly in structural behavior and numerical modeling. ππ§π
Professional Experience
Dr. Try Meng is currently a Research Engineer at ARSN/DES/LMAPS (2023-present), where he updates parameters using Bayesian approaches to analyze reinforced concrete structures under seismic loading, applying it to the SMART2013 model. He also works on explosion calculations for nuclear facility structures and impact analysis in the IMPACT projects. From 2021-2023, he worked at ASNR/DES/LMAPS and CEA/LM2S, focusing on mechanical behavior studies of nuclear reactor buildings and participated in the VERCORS benchmark and SMiRT26 conference. Earlier, Dr. Meng worked in civil and mechanical engineering research, publishing articles and completing internships on hybrid columns and structural analysis. π¬ποΈ
Dr. Try Meng is a Civil Engineering Research Engineer specializing in finite element methods, thermo-hydro-mechanical coupling, and nonlinear behavior of concrete (damage models) and stainless steel (elasto-plasticity models). He works on nuclear reactor building simulations and leakage rate post-processing. In industry, he performs reinforced concrete and steel structure calculations based on Eurocode 2 and 3, including beam and column section design and reinforcement. He is fluent in Khmer (native), French (B1), English (TOEFL 500), and Chinese (B1). His technical expertise includes Castem, Fortran, MFront, Matlab, Abaqus, AutoCAD, and Latex. π»π§
Research Focus
Dr. Try Meng specializes in numerical modeling and mechanical behavior of prestressed reinforced concrete structures in the context of nuclear engineering. His research focuses on creep, aging, and leakage phenomena, particularly in concrete containment buildings, and applies these studies to real-world mock-ups like VERCORS. He also explores thermo-hydro-mechanical modeling to study the impact of climatic actions on buildings with internal insulation and thermal breaks. His expertise bridges structural mechanics, concrete technology, and climate impact studies for energy infrastructure and building performance. πποΈ
Publication Top Notes
- “Numerical modelling of creep, aging, and leakage of the prestressed reinforced concrete structure. Application to concrete containment building” (2024) – Kerntechnik ποΈ
- “Numerical methodology on prestressed reinforced concrete containment building: Creep, aging, and leakage. Application to VERCORS mock-up” (2023) – Engineering Structures π’ – 8 citations
- “Effect of climatic actions on buildings with internal insulation and thermal breaks: Multi-scale approach and thermo-hydro-mechanical modeling” (2021) – World Congress in Computational Mechanics and ECCOMAS Congress π
Conclusion
Dr. Try Meng’s innovative research in structural engineering, particularly in nuclear reactor buildings, along with his advanced simulation techniques (such as FEM and Bayesian methods), makes him a strong contender for the Best Researcher Award. His academic credentials, ongoing research contributions, and impact on the field underscore his suitability for this award.