Assistant at Semnan University, Iran
Arian Kiani is a Structural Engineering M.Sc. graduate from Semnan University, Iran, with a notable thesis on tuned mass dampers and fuzzy logic algorithms. His academic expertise includes resilience and performance-based engineering, multi-hazard risk assessment, and artificial intelligence. Kiani has served as a teaching and research assistant, contributing to projects on seismic resilience and nonlinear modeling of concrete/steel structures. Ranked in the top 10% of his class, he is proficient in Tcl/Tk, Python, and MATLAB. Kiani has also participated in workshops on machine learning and structural analysis and is a reviewer for the Journal of Discover Civil Engineering. Hybrid structures
Professional Profiles
Education
M.Sc. in Structural Engineering (2012-2015) Faculty of Civil Engineering, Semnan University, Semnan, Iran Thesis: The effect of the tuned mass damper on the control of RC structures by the fuzzy logic algorithm CGPA: 3.63/4 B.Sc. in Civil Engineering (2007-2012) Faculty of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran CGPA: 3.55/4 Hybrid structures.
Research Interests
Arian Kiani’s research focuses on resilience engineering, performance-based engineering, multi-hazard risk assessment, artificial intelligence, computer programming, and machine learning. Hybrid structures
Academic Experience
Teaching Assistant at Semnan University (2015-2022), involved in courses such as Soft Computing, Design of Earthquake-Resistant Buildings, Theory of Structures I, and Strength of Materials. Research Assistant at Semnan University (2021-2024), working on projects related to seismic resilience, performance factors, fragility assessment, and nonlinear modeling of mixed concrete/steel buildings. Part-time Instructor (2022) for workshops on fragility analysis using OpenSees software. Hybrid structures
Honors and Awards
Ranked in the top 10% of M.Sc. and B.Sc. students at Semnan University and Islamic Azad University, respectively. Reviewer for the Journal of Discover Civil Engineering, published by Springer. English
Research Focus
Arian Kiani’s research primarily focuses on structural engineering, with a special emphasis on seismic resilience and control systems for reinforced concrete (RC) and hybrid concrete-steel buildings. His work includes the optimization of tuned mass dampers and active control systems using fuzzy logic algorithms to enhance structural performance under various ground motion scenarios. Kiani’s studies address seismic fragility, the impact of transition stories in hybrid structures, and the quantification of performance factors using methodologies like FEMA P695. His contributions span both theoretical analysis and practical applications in earthquake engineering and structural optimization.
Publications
- Structural control of RC buildings subjected to near-fault ground motions in terms of tuned mass dampers, Cited by: 8, Publication date: 2020.
- Seismic fragility assessment for mixed concrete/steel buildings considering the appropriate position of the transition story, Cited by: 5, Publication date: 2022.
- Non-linear study of the method of transition in mixed concrete/steel structures, Cited by: 3, Publication date: 2023.
- Investigation of the effect of far-field ground motion records on the seismic response of mid-rise hybrid concrete-steel buildings, Publication date: 2024.
- Quantification of seismic performance factors of mixed concrete/steel buildings using the FEMA P695 methodology, Publication date: 2024.
- Investigation of the effect of active tuned mass dampers (AMDs) in strengthening RC structures, Publication date: 2016.
- Optimization of active controlling force by the fuzzy logic algorithm to reinforce the concrete structures, Publication date: 2016.
- Application of passive control for strengthening RC structures, Publication date: 2016.
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