Mr. Mohtasham Khanahmadi, Semnan University, Iran
Mohtasham Khanahmadi is a skilled Civil Engineering Researcher from Iran, specializing in
structural health monitoring, damage detection, and signal processing. He holds a Master’s in Structural Engineering from Semnan University and a Bachelor’s from Velayat University. With over five years of research experience, his work focuses on non-destructive evaluation and modal analysis of thin-walled and composite structures. He has published several papers on vibration-based damage localization and wavelet-based feature extraction. Mohtasham is fluent in English and Azerbaijani. 🌍🔧📚📊
Publication Profile
Orcid
Google Scholar
Educational Background
Mohtasham Khanahmadi completed his Bachelor of Science in Civil Engineering from Velayat University, Iranshahr, Iran, from January 21, 2011 to January 27, 2015. During his undergraduate studies, he gained foundational knowledge in civil engineering principles. He then pursued his Master of Science in Civil (Structural) Engineering at Semnan University, Semnan, Iran, from September 23, 2015, to November 26, 2018. His graduate studies further honed his expertise in structural engineering, laying the groundwork for his research in damage detection, structural health monitoring, and signal processing. 🌍🏫🔧
Research Focus
Mohtasham Khanahmadi’s research is primarily focused on structural health monitoring, damage detection, and localization techniques for civil engineering structures. His work explores advanced signal processing methodologies for damage detection in thin-walled and composite structures like beams, columns, and sandwich panels. He utilizes vibration-based approaches and wavelet transforms to identify and assess structural damage, including interfacial debonding in concrete-filled steel tubular (CFST) columns. His studies aim to enhance the integrity and performance of structures, contributing significantly to nondestructive evaluation and modal analysis. 🔍🛠️📐
Publication Top Notes
- Vibration-based damage localization in 3D sandwich panels using an irregularity detection index (IDI) based on signal processing 📊, Cited by: 10, Year: 2024
- Signal processing methodology for detection and localization of damages in columns under the effect of axial load 🛠️, Cited by: 10, Year: 2023
- Interfacial debonding detection in concrete-filled steel tubular (CFST) columns with modal curvature-based irregularity detection indices 🏗️, Cited by: 7, Year: 2024
- An effective vibration-based feature extraction method for single and multiple damage localization in thin-walled plates using one-dimensional wavelet transform: A numerical study 📐, Cited by: 3, Year: 2024
- Vibration-based health monitoring and damage detection in beam-like structures with innovative approaches based on signal processing: A numerical and experimental study 🏢, Cited by: 2, Year: 2024
- A mode shape sensitivity-based wavelet feature extraction method for interface debonding detection in concrete-filled steel tubes 🛠️,Year: 2025
- A numerical study on vibration-based interface debonding detection of CFST columns using an effective wavelet-based feature extraction technique 🏗️,Year: 2024