Peyman Torkzadeh
- : A Study of Progressive Collapse in Moment-Resisting Reinforced Concrete Structures Considering Damping Ratio. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering.
- (2022): Optimal Number and Location of Sensors for Structural Damage Detection using the Theory of Geometrical Viewpoint and Parameter Subset Selection Method. Dans: Periodica Polytechnica Civil Engineering, v. 66, n. 3 ( 2022).
- (2016): Damage detection of plate-like structures using intelligent surrogate model. Dans: Smart Structures and Systems, v. 18, n. 6 (décembre 2016).
- (2022): A novel real-time method for structural damage detection using Kalman filter and sensitivity analysis. Dans: International Journal of Structural Stability and Dynamics, v. 22, n. 14 (septembre 2022).
- (2016): A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function. Dans: Structural Health Monitoring, v. 15, n. 3 (mars 2016).
- (2019): Evaluation of Progressive Collapse Performance in Double layer Diamatic Domes. Dans: Civil Engineering Journal, v. 5, n. 10 (7 octobre 2019).
- (2018): Estimation of maximum and residual inter-storey drift in steel MRF considering soil-structure interaction from fixed-base analyses. Dans: Soil Dynamics and Earthquake Engineering, v. 114 (novembre 2018).
- (2017): Optimal design of high-rise buildings with respect to fundamental eigenfrequency. Dans: International Journal of Advanced Structural Engineering, v. 9, n. 4 (septembre 2017).
- (2014): An Improved Genetic Algorithm for Optimal Sensor Placement in Space Structures Damage Detection. Dans: International Journal of Space Structures, v. 29, n. 3 (septembre 2014).
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