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Works (12)

A Computationally Time-Efficient Method for Implementing Pressure Load to FE Models with Lagrangian Elements

Eng
2024-09 | Journal article | Author
Contributors: Adnan Shahriar; Arsalan Majlesi; Arturo Montoya
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

Calibrating equations to predict the compressive strength of FRP-Confined columns using optimized neural network model

Structures
2023-10 | Journal article
Contributors: Hamid Khodadadi Koodiani; Negar Erfanian; Arsalan Majlesi; Ali Hosseinzadeh; Elahe Jafari; Mohammad Shahin; Adolfo Matamoros
Source: check_circle
Crossref

A General Procedure to Formulate 3D Elements for Finite Element Applications

Computation
2023-10-03 | Journal article
Contributors: Adnan Shahriar; Arsalan Majlesi; Arturo Montoya
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Artificial neural network model to estimate the long-term carbonation depth of concrete exposed to natural environments

Journal of Building Engineering
2023-09 | Journal article
Contributors: Arsalan Majlesi; Hamid Khodadadi Koodiani; Oladis Troconis de Rincon; Arturo Montoya; Valentina Millano; Andres A. Torres-Acosta; Brendy C. Rincon Troconis
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Crossref

Prediction and multi-objective optimization of workability and compressive strength of recycled self-consolidating mortar using Taguchi design method

Heliyon
2023-06 | Journal article
Contributors: Omid Bamshad; Mahdi Mahdikhani; Amir Mohammad Ramezanianpour; Zahra Maleki; Arsalan Majlesi; Alireza Habibi; Mohammad Aghajani Delavar
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Crossref

Seismic assessment of irregular RC frames with tall ground story incorporating nonlinear soil–structure interaction

Structures
2022 | Journal article
EID:

2-s2.0-85130268116

Part of ISSN: 23520124
Contributors: Asadi-Ghoozhdi, H.; Attarnejad, R.; Masoodi, A.R.; Majlesi, A.
Source: Self-asserted source
Arsalan Majlesi via Scopus - Elsevier

Digital Filter Design for Force Signals from Eulerian–Lagrangian Analyses of Wave Impact on Bridges

Journal of Marine Science and Engineering
2022-11 | Journal article | Author
Contributors: Arsalan Majlesi; Adnan Shahriar; Reza Nasouri; Hamid Khodadadi Koodiani; Arturo Montoya; Ao Du; Adolfo Matamoros
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Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

On the Seismic Evaluation of Steel Frames Laterally Braced with Perforated Steel Plate Shear Walls Considering Semi-Rigid Connections

Buildings
2022-09-11 | Journal article
Contributors: Arsalan Majlesi; Hamid Asadi-Ghoozhdi; Omid Bamshad; Reza Attarnejad; Amir R. Masoodi; Mehdi Ghassemieh
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Crossref
grade
Preferred source (of 2)‎

Explicit finite element analysis of coastal bridges under extreme hurricane waves

Tran-SET 2021 - Proceedings of the Tran-SET Conference 2021
2021 | Conference paper
EID:

2-s2.0-85120618066

Contributors: Majlesi, A.; Nasouri, R.; Shahriar, A.; Amori, D.; Montoya, A.; Du, A.; Matamoros, A.
Source: Self-asserted source
Arsalan Majlesi via Scopus - Elsevier

Generation of periodic wave using lagrange-plus remap finite element method for evaluating the vulnerability of coastal bridges to extreme weather events

Tran-SET 2020 - Proceedings of the Tran-SET Conference 2020
2021 | Conference paper
EID:

2-s2.0-85104870714

Contributors: Shahriar, A.; Majlesi, A.; Nasouri, R.; Montoya, A.; Matamoros, A.; Testik, F.
Source: Self-asserted source
Arsalan Majlesi via Scopus - Elsevier

Hydrodynamic demands on coastal bridges due to wave impact

Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020
2021 | Conference paper
EID:

2-s2.0-85117614079

Contributors: Nasouri, R.; Shahriar, A.; Majlesi, A.; Matamoros, A.; Montoya, A.; Testik, F.
Source: Self-asserted source
Arsalan Majlesi via Scopus - Elsevier

Structural vulnerability of coastal bridges under a variety of hydrodynamic conditions

Tran-SET 2020 - Proceedings of the Tran-SET Conference 2020
2021 | Conference paper
EID:

2-s2.0-85104877263

Contributors: Majlesi, A.; Nasouri, R.; Shahriar, A.; Montoya, A.; Matamoros, A.
Source: Self-asserted source
Arsalan Majlesi via Scopus - Elsevier