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Hosein Naderpour

Hosein Naderpour

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
4686
World Ranking
9212
National Ranking
132

Overview

Hosein Naderpour is affiliated with Semnan University in Iran and has contributed extensively to the field of engineering, particularly within civil and structural engineering. Their research spans a broad range of topics including seismic performance and analysis, structural behavior of reinforced concrete, and structural health monitoring techniques.

The primary fields of study associated with this researcher are Engineering, with a specialized focus on:

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials
  • Safety, Risk, Reliability and Quality
  • Statistics, Probability and Uncertainty

Naderpour's work covers specific topics such as:

  • Seismic Performance and Analysis
  • Structural Behavior of Reinforced Concrete
  • Structural Health Monitoring Techniques
  • Concrete Corrosion and Durability
  • Structural Response to Dynamic Loads
  • Innovative concrete reinforcement materials
  • Structural Engineering and Vibration Analysis

The researcher frequently publishes in well-regarded venues within their domain. These include:

  • Structures
  • Bulletin of Earthquake Engineering
  • Practice Periodical on Structural Design and Construction
  • Journal of Building Engineering
  • Applied Sciences

Selected recent papers authored or co-authored by Hosein Naderpour illustrate their focus on concrete and structural engineering challenges:

  • "Failure mode prediction of reinforced concrete columns using machine learning methods," 2021, Engineering Structures
  • "Estimating the compressive strength of eco-friendly concrete incorporating recycled coarse aggregate using neuro-fuzzy approach," 2020, Journal of Cleaner Production

Other notable papers that reflect related research directions include:

  • "Transit search: An optimization algorithm based on exoplanet exploration," 2022, Results in Control and Optimization
  • "Recent Trends in Prediction of Concrete Elements Behavior Using Soft Computing (2010-2020)," 2020, Archives of Computational Methods in Engineering
  • "An experimental approach for shear strengthening of RC beams using a proposed technique by embedded through-section FRP sheets," 2020, Composite Structures

Collaboration is a significant aspect of Naderpour's research activity. Frequent co-authors include:

  • Masoomeh Mirrashid
  • Ali Kheyroddin
  • Robert Jankowski
  • Pouyan Fakharian
  • Seyed Mohammad Khatami

Best Publications

  • Compressive strength prediction of environmentally friendly concrete using artificial neural networks

    Hosein Naderpour;Amir Hossein Rafiean;Pouyan Fakharian

  • Prediction of FRP-confined compressive strength of concrete using artificial neural networks

    H. Naderpour;A. Kheyroddin;G. Ghodrati Amiri

  • Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load

    M. Ahmadi;H. Naderpour;A. Kheyroddin

  • Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods

    H. Naderpour;H. Naderpour;K. Nagai;P. Fakharian;M. Haji

  • ANN Model for Predicting the Compressive Strength of Circular Steel-Confined Concrete

    Masoud Ahmadi;Hosein Naderpour;Ali Kheyroddin

  • Shear resistance prediction of concrete beams reinforced by FRP bars using artificial neural networks

    H. Naderpour;O. Poursaeidi;M. Ahmadi

  • Transit search: An optimization algorithm based on exoplanet exploration

    Unknown

  • Failure mode prediction of reinforced concrete columns using machine learning methods

    Hosein Naderpour;Masoomeh Mirrashid;Payam Parsa

  • Seismic resilience evaluation based on vulnerability curves for existing and retrofitted typical RC school buildings

    Delbaz Samadian;Mohsen Ghafory-Ashtiany;Hosein Naderpour;Mahdi Eghbali

  • A proposed model to estimate shear contribution of FRP in strengthened RC beams in terms of Adaptive Neuro-Fuzzy Inference System

    H. Naderpour;S.A. Alavi

  • Recent Trends in Prediction of Concrete Elements Behavior Using Soft Computing (2010–2020)

    Masoomeh Mirrashid;Hosein Naderpour

  • Numerical Study on Pounding between Two Adjacent Buildings under Earthquake Excitation

    H. Naderpour;R.c. Barros;S. M. Khatami;Robert Jankowski

  • Estimating the compressive strength of eco-friendly concrete incorporating recycled coarse aggregate using neuro-fuzzy approach

    Hosein Naderpour;Masoomeh Mirrashid

  • Seismic Response of Base-Isolated Structures with LRB and FPS under near Fault Ground Motions

    M.K. Sharbatdar;S.R. Hoseini Vaez;G. Ghodrati Amiri;H. Naderpour

  • A new proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling

    Hosein Naderpour;Danial Rezazadeh Eidgahee;Pouyan Fakharian;Amir Hossein Rafiean

  • Experimental study on influence of proposed FRP-strengthening techniques on RC circular short columns considering different types of damage index

    M. Haji;H. Naderpour;A. Kheyroddin

  • An experimental approach for shear strengthening of RC beams using a proposed technique by embedded through-section FRP sheets

    E. Moradi;H. Naderpour;A. Kheyroddin

  • An innovative approach for compressive strength estimation of mortars having calcium inosilicate minerals

    H. Naderpour;M. Mirrashid

  • A synthesis of peak picking method and wavelet packet transform for structural modal identification

    H. Naderpour;P. Fakharian

  • Shear Failure Capacity Prediction of Concrete Beam–Column Joints in Terms of ANFIS and GMDH

    Hosein Naderpour;Masoomeh Mirrashid

  • An innovative approach for bond strength modeling in FRP strip-to-concrete joints using adaptive neuro–fuzzy inference system

    Hosein Naderpour;Hosein Naderpour;Masoomeh Mirrashid;Kohei Nagai

Frequent Co-Authors

Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals

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