Manuel Barraza 
- (2024): Failure Probability-Based Optimal Seismic Design of Reinforced Concrete Structures Using Genetic Algorithms. In: Infrastructures, v. 9, n. 9 (23 August 2024).
- (2023): Optimal Acceleration and Energy-Based Record Selection Using Artificial Intelligence Approaches and NP. In: Journal of Earthquake Engineering, v. 28, n. 2 (July 2023).
- (2023): Vector-Valued Intensity Measures Based on Spectral Shape to Predict Seismic Fragility Surfaces in Reinforced Concrete Buildings. In: Buildings, v. 13, n. 1 (13 January 2023).
- (2022): Development an Artificial Neural Network Model for Estimating Cost of R/C Building by Using Life-Cycle Cost Function: Case Study of Mexico City. In: Advances in Civil Engineering, v. 2022 (January 2022).
- (2021): Structural reliability of reinforced concrete buildings under earthquakes and corrosion effects. In: Engineering Structures, v. 237 (June 2021).
- (2017): Multi-objective optimization of structural steel buildings under earthquake loads using NSGA-II and PSO. In: KSCE Journal of Civil Engineering, v. 21, n. 2 (January 2017).
- (2017): A simplified procedure to estimate peak drift demands for mid-rise steel and R/C frames under narrow-band motions in terms of the spectral-shape-based intensity measure I. In: Engineering Structures, v. 150 (November 2017).
Structurae cooperates with
