Researcher at Semnan University, Iran📖
Mohtasham Khanahmadi is a dedicated civil engineering researcher with over five years of experience specializing in structural health monitoring, damage detection, and localization. His expertise includes vibration-based damage assessment, nondestructive evaluation, and advanced signal processing techniques. Mohtasham applies innovative methodologies to enhance the structural integrity and performance of thin-walled and composite structures like plates, beams, and columns. He is proficient in computational mathematics, modal analysis, and inverse problem-solving, contributing to the field through high-impact publications and experimental studies.
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Education Background🎓
- Master of Science in Civil (Structural) Engineering (2015–2018)
Semnan University, Semnan, Iran
- Bachelor of Science in Civil Engineering (2011–2015)
Velayat University, Iranshahr, Iran
Professional Experience🌱
Mohtasham has conducted extensive research in vibration-based damage localization, developing cutting-edge signal processing methods and wavelet-based feature extraction techniques. His collaborative efforts span computational modeling, experimental studies, and numerical simulations, particularly in structural stability and dynamic assessments. With strong interdisciplinary skills, he has contributed to advancements in health monitoring for structures, including concrete-filled steel tubes and sandwich panels.
- Structural health monitoring and damage localization
- Vibration-based diagnostics and signal processing
- Modal analysis of thin-walled and composite structures
- Computational mathematics and inverse problems
- Nondestructive evaluation methodologies
Author Metrics
Publications Top Notes 📄
1. Vibration-based damage localization in 3D sandwich panels using an irregularity detection index (IDI) based on signal processing
- Authors: M. Khanahmadi, B. Mirzaei, G.G. Amiri, M. Gholhaki, O. Rezaifar
- Journal: Measurement
- Volume: 224
- Article: 113902
- Year: 2024
- Abstract: This study presents an innovative approach to damage localization in 3D sandwich panels using an Irregularity Detection Index (IDI) derived from signal processing. Both numerical and experimental analyses validate the methodology’s effectiveness.
- Impact: Provides robust tools for real-time monitoring of advanced composite structures.
- Citations: 10
2. Signal processing methodology for detection and localization of damages in columns under the effect of axial load
- Authors: M. Khanahmadi, M. Gholhaki, O. Rezaifar, B. Dezhkam
- Journal: Measurement
- Volume: 211
- Article: 112595
- Year: 2023
- Abstract: This paper introduces a novel signal processing technique for identifying and localizing structural damages in axially loaded columns. It emphasizes accurate detection using computationally efficient algorithms.
- Impact: Contributes to the early detection of structural vulnerabilities, enhancing safety and maintenance practices.
- Citations: 10
3. Interfacial debonding detection in concrete-filled steel tubular (CFST) columns with modal curvature-based irregularity detection indices
- Authors: M. Khanahmadi, M. Khalighi
- Journal: International Journal of Structural Stability and Dynamics
- Volume: 24, Issue 13
- Article: 2450148
- Year: 2024
- Abstract: This research focuses on detecting interfacial debonding in CFST columns using indices derived from modal curvature irregularities. It establishes a practical framework for damage identification.
- Impact: A critical contribution to monitoring the structural integrity of composite steel-concrete systems.
- Citations: 7
4. An effective vibration-based feature extraction method for single and multiple damage localization in thin-walled plates using one-dimensional wavelet transform: A numerical and experimental study
- Author: M. Khanahmadi
- Journal: Thin-Walled Structures
- Volume: 204
- Article: 112288
- Year: 2024
- Abstract: The study introduces a wavelet-based feature extraction technique for identifying single and multiple damages in thin-walled plates. The proposed method demonstrates high accuracy in both simulated and experimental setups.
- Impact: Enhances precision in structural health monitoring of thin-walled structures.
- Citations: 3
5. Vibration-based health monitoring and damage detection in beam-like structures with innovative approaches based on signal processing: A numerical and experimental study
- Authors: M. Khanahmadi, B. Mirzaei, B. Dezhkam, O. Rezaifar, M. Gholhaki, G.G. Amiri
- Journal: Structures
- Volume: 68
- Article: 107211
- Year: 2024
- Abstract: This work proposes advanced signal processing techniques for the health monitoring and damage detection of beam-like structures. It integrates numerical models with experimental validation to offer a comprehensive monitoring solution.
- Impact: Offers innovative solutions for real-world applications in structural maintenance and safety.
- Citations: 2
Conclusion
Mohtasham Khanahmadi is a strong contender for the Best Researcher Award due to his groundbreaking contributions to structural health monitoring and damage detection. His innovative methodologies, interdisciplinary approach, and impactful publications solidify his position as a leading researcher in his domain. Addressing the areas of improvement, such as diversifying research applications and enhancing global collaboration, could further strengthen his academic and professional profile.