April 24, 2024

Kermanshah University of Technology

فارسی

Mehdi Izadpanah

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Mehdi Izadpanah

Academic rank: Assistant professor

Address: Kermanshah University of Technology

Education: Ph.D in Civil Engineering

Phone: 08338305001

Faculty: Faculty of Engineering

E-mail: —

Home Education Research ineterests Courses Research activities

Education

PhD. in Structural Engineering , University of Kurdistan , Iran (2013 - 2017)
Thesis title: A new plasticity model for beam-column element to account for the influence of lateral and gravity loads

Courses

Associate

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Bachelor Of Science

1	Reinforced Concrete Projects
2	Strength of Materials 1
3	Strength of Materials 2
4	Structures Analysis 1
5	Structures Analysis 2
6	Design of Reinforced Concrete Structures 1
7	Design of Reinforced Concrete Structures 2

Master Of Science

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PhD

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Research activities

Journal articles

1	Mehdi Izadpanah, Hassan Zibasokhan, Panayiotis C. Roussis, Panagiotis G Asteris (2023) Pure-bending yielding dissipater for the seismic retrofitting of reinforced concrete buildings with soft-story irregularity Structures: 55; 933-950
2	Alireza Habibi, Mehdi Izadpanah, Yaser Rahmani (2023) Confinement effect on the behavior factor of dual reinforced concrete moment-resisting systems with shear walls STRUCTURAL ENGINEERING AND MECHANICS: 85; 781-791
3	Mehdi Izadpanah (2023) Influence of MIWs on the seismic responses of moment resisting RCFs: A practical method SOIL DYNAMICS AND EARTHQUAKE ENGINEERING: 165; 107699-...
4	Alireza Habibi, Mehdi Izadpanah, Yaser Namdar (2022) A new modal lateral load pattern for improving pushover analysis to estimate nonlinear responses of structures Australian journal of structural engineering: 23; 289-302
5	Fereshteh Karami, Mehdi Izadpanah (2021) Incremental inelastic dynamic damage analysis of MRRCFs infilled with masonry panels Journal of Building Engineering: 44; 103282-...
6	Alireza Habibi, Mehdi Izadpanah, Mohsen Ghasem fam (2021) An approximate method for determining the behavior factor of RCMRFs with vertical irregularity Computers and Concrete: 28; 243-258
7	Alireza Habibi, Mohammad Samadi, Mehdi Izadpanah (2020) Practical relations to quantify the amount of damage of SWRCFs using pushover analysis Advances in Concrete Construction: 10; 271-278
8	Alireza Habibi, Mehdi Izadpanah, Sina Rohani (2020) Evaluation of moment amplification factors for RCMRFs designed based on Iranian national building code Advances in Concrete Construction: 9; 23-31
9	Alireza Habibi, Hooman Saffari, Mehdi Izadpanah (2019) Optimal lateral load pattern for pushover analysis of building structures STEEL AND COMPOSITE STRUCTURES: 32; 67-77
10	Alireza Habibi, Reza Gholami, Mehdi Izadpanah (2019) Behavior factor of vertically irregular RCMRFs based on incremental dynamic analysis Earthquakes and Structures: 16; 655-664
11	Mehdi Izadpanah, Alireza Habibi (2018) Evaluating the accuracy of a new nonlinear reinforced concrete beam-column element comprising joint flexibility Earthquakes and Structures: 14; 525-535
12	Mehdi Izadpanah, Alireza Habibi (2018) New Spread Plasticity Model for Reinforced Concrete Structural Elements Accounting for Both Gravity and Lateral Load Effects JOURNAL OF STRUCTURAL ENGINEERING: 144; 04018028-...
13	Alireza Habibi, Mehdi Izadpanah (2017) Improving the linear flexibility distribution model to simultaneously account for gravity and lateral loads Computers and Concrete: 20; 011-22
14	Mehdi Izadpanah, Alireza Habibi (2015) Evaluating the spread plasticity model of IDARC for inelastic analysis of reinforced concrete frames STRUCTURAL ENGINEERING AND MECHANICS: 56; 169-188
15	Alireza Habibi, Mehdi Izadpanah (2012) New method for the design of reinforced concrete moment resisting frames with damage control Scientia Iranica: 19; 234-241

Conference articles

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Projects

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Theses

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Books

1

Danial Jahed Armaghani, Athanasia D. Skentou, Mehdi Izadpanah, Maria Karoglou, Manoj Khandelwal, Panagiotis G Asteris, Gerasimos Konstantakatos, Anna Mamou, Markos Z. Tsoukalas, Basak Zengin (2023) Applications of Artificial Intelligence in Mining and Geotechnical Engineering. Chapter 4 - Deep neural networks for the estimation of granite materials’ compressive strength using non-destructive indices ISBN: 9780443187643

Innovations

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Speeches

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