| 1 |
Milad Jahangiri, Mohammad Ali Hadianfard, Ramin Rabiee
(2025)
Seismic pathology and vulnerability assessment of historical masonry buildings implementing supervised ambient vibrations
Journal of Building Pathology and Rehabilitation: 11:32; 1-13
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| 4 |
Milad Jahangiri, Mohammad Amir Najafgholipour, Ahmad Reza Arabi, Mohammad Ali Hadianfard, Mehdi Jahangiri
(2024)
Prize‑Penalty Strategy: An Efficient Constraint Handling Scheme
for the Optimal Design of Truss Structures Engaging the Interactive Autodidactic School Optimization Algorithm
Iranian Journal of Science and Technology-Transactions of Civil Engineering: 1; 1-21
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| 5 |
Mahmoud Malakouti Olounabadi, Milad Jahangiri, mohammad ghazi, Amin Keshavarz
(2024)
A versatile deformation-oriented criterion for optimisation-based backcalculation of the pavement moduli and thickness
International Journal of Pavement Engineering: VOL. 25, NO. 1, 2433608; 1-11
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| 6 |
Mohsen Sadeghi, Sohrab Shoja, Masoud Amin Safaei Ardakani, Milad Jahangiri
(2024)
Innovative improvement towards steel plate shear walls employing the grid stiffeners along with the metallic yielding dampers
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH: 223; 1-13
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Milad Jahangiri, , Mohammad Amir Najafgholipour, Mehdi Jahangiri, Shahabeddin Hatami
(2023)
A Novel Probabilistic Structural Damage Detection Approach
Considering Uncertainty Sources
Iranian Journal of Science and Technology-Transactions of Civil Engineering: 5; 19
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| 14 |
میلاد جهانگیری، محمدعلی هادیان فرد ، محمد امیر نجفقلی پور، مهدی جهانگیری
(1401)
Vibration-Based Structural Damage Detection Using
the Interactive Autodidactic School Optimization Algorithm
Based on an Energy-Dissipation Method
International Journal of Structural Stability and Dynamics: 22; 31
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| 15 |
Amin Hosseini, Touraj Taghikhani, Milad Jahangiri
(2021)
Optimal tuned direct adaptive controller for seismic protecting of structures
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES: 32; 2139-2152
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Milad Jahangiri, Mohammad Amir Najafgholipour, Seyed Mehdi Dehghan,
(2019)
The efficiency of a novel identification method for structural damage assessment using the first vibration mode data
JOURNAL OF SOUND AND VIBRATION: 458; 1-16
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