Mohammadjavad Hamidia 
- (2024): Rapid post-earthquake loss quantification using crack patterns of reinforced concrete columns. In: Structures, v. 69 (November 2024).
- (2025): Probabilistic Postearthquake ASCE 41-17 Compliant Performance Level Identification for Shear-Dominated RC Shear Walls via Crack Image Analysis. In: Journal of Structural Engineering (ASCE), v. 151, n. 1 (January 2025).
- (2024): Residual strength and stiffness estimation for RC columns damaged in earthquake through surface crack texture analysis. In: Soil Dynamics and Earthquake Engineering, v. 185 (October 2024).
- (2024): Seismic performance of buildings during the magnitude 7.3 Kermanshah, Iran earthquake. In: Journal of Building Engineering, v. 91 (August 2024).
- (2024): Vision‐based probabilistic post‐earthquake loss estimation for reinforced concrete shear walls. In: Structural Concrete, v. 25, n. 3 (13 May 2024).
- (2024): Crack image-based FEMA P-58-compliant fragility models for automated earthquake-induced loss estimation in non-ductile RC moment frames. In: Structures, v. 60 (February 2024).
- (2024): Experimental and numerical study on weld strengths of built-up steel box columns. In: Journal of Constructional Steel Research, v. 213 (February 2024).
- (2024): Vision-oriented machine learning-assisted seismic energy dissipation estimation for damaged RC beam-column connections. In: Engineering Structures, v. 301 (February 2024).
- (2023): Machine vision‐based automated earthquake‐induced drift ratio quantification for reinforced concrete columns. In: The Structural Design of Tall and Special Buildings, v. 32, n. 18 (October 2023).
- (2023): Post-earthquake damage assessment for RC columns using crack image complexity measures. In: Bulletin of Earthquake Engineering, v. 21, n. 13 (14 September 2023).
- (2023): Post‐earthquake stiffness loss estimation for reinforced concrete columns using fractal analysis of crack patterns. In: Structural Concrete, v. 24, n. 3 (April 2023).
- (2022): Machine learning-based seismic damage assessment of non-ductile RC beam-column joints using visual damage indices of surface crack patterns. In: Structures, v. 45 (November 2022).
- (2022): Post‐earthquake damage evaluation of non‐ductile RC moment frames using surface crack patterns. In: Structural Control and Health Monitoring, v. 29, n. 10 (13 September 2022).
- (2022): Computer vision-based automated stiffness loss estimation for seismically damaged non-ductile reinforced concrete moment frames. In: Bulletin of Earthquake Engineering, v. 20, n. 12 (August 2022).
- (2022): Seismic displacement ratios for soil-pile-structure systems allowed to uplift. In: Soil Dynamics and Earthquake Engineering, v. 155 (April 2022).
- (2022): Peak drift ratio estimation for RC moment frames using multifractal dimensions of surface crack patterns. In: Engineering Structures, v. 255 (March 2022).
- (2022): The collapse margin ratio of steel frames considering the vertical component of earthquake ground motions. In: Journal of Constructional Steel Research, v. 188 (January 2022).
- (2021): Soil-structure interaction effects on the seismic collapse capacity of steel moment-resisting frame buildings. In: Structures, v. 32 (August 2021).
- (2020): Arc Length method for extracting crack pattern characteristics. In: Structural Control and Health Monitoring, v. 28, n. 1 (October 2020).
- (2019): Displacement ratios for structures with material degradation and foundation uplift. In: Bulletin of Earthquake Engineering, v. 17, n. 9 (July 2019).
- (2014): Simplified Seismic Sidesway Collapse Capacity-Based Evaluation and Design of Frame Buildings with Linear Viscous Dampers. In: Journal of Earthquake Engineering, v. 18, n. 4 ( 2014).
- (2014): Simplified seismic sidesway collapse analysis of frame buildings. In: Earthquake Engineering and Structural Dynamics, v. 43, n. 3 (February 2014).
- (2015): Seismic Collapse Capacity–Based Evaluation and Design of Frame Buildings with Viscous Dampers Using Pushover Analysis. In: Journal of Structural Engineering (ASCE), v. 141, n. 6 (June 2015).
Structurae cooperates with
