K. A. Patel
- (2024): Predictive active control of building structures using LQR and artificial intelligence. In: Earthquake Engineering and Engineering Vibration, v. 23, n. 2 (April 2024).
- (2024): Predicting Construction Crew Productivity for Concrete-Pouring Operations. In: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, v. 16, n. 2 (Mai 2024).
- (2024): Prediction of Delay Occurrence in Disputed Real Estate Projects: An Artificial Neural Network Approach. In: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, v. 16, n. 2 (Mai 2024).
- : Prioritisation of bridge for improving its resilience using multi-criteria decision-making techniques. In: Engineering, Construction and Architectural Management.
- (2022): Data Envelopment Analysis for Efficiency Measurement of Bridge Resilience. In: The Baltic Journal of Road and Bridge Engineering, v. 17, n. 4 (Dezember 2022).
- (2022): Development of Fuzzy System Dynamics Model to Forecast Bridge Resilience. In: Journal of Bridge Engineering (ASCE), v. 27, n. 12 (Dezember 2022).
- (2021): Rapid Prediction of Long-term Deflections in Steel-Concrete Composite Bridges Through a Neural Network Model. In: International Journal of Steel Structures, v. 21, n. 2 (März 2021).
- (2021): Methodology for Rapid Estimation of Deflections in Two-Way Reinforced Concrete Slabs Considering Cracking. In: Practice Periodical on Structural Design and Construction, v. 26, n. 2 (Mai 2021).
- : Rapid prediction of moments in highrise composite frames considering cracking and time-effects. In: Periodica Polytechnica Civil Engineering.
- (2020): Development of Bridge Resilience Index Using Multicriteria Decision-Making Techniques. In: Journal of Bridge Engineering (ASCE), v. 25, n. 10 (Oktober 2020).
- (2017): Neural network based approach for rapid prediction of deflections in RC beams considering cracking. In: Computers and Concrete, v. 19, n. 3 (März 2017).
- (2016): A tension stiffening model for analysis of RC flexural members under service load. In: Computers and Concrete, v. 17, n. 1 (Januar 2016).
- (2015): Rapid prediction of long-term deflections in composite frames. In: Steel and Composite Structures, v. 18, n. 3 (März 2015).
- (2012): Neural networks for prediction of deflection in composite bridges. In: Journal of Constructional Steel Research, v. 68 (Januar 2012).
- (2015): Cracked span length beam element for service load analysis of steel concrete composite bridges. In: Computers & Structures, v. 157 (September 2015).
- (2015): Rapid prediction of deflections in multi-span continuous composite bridges using neural networks. In: International Journal of Steel Structures, v. 15, n. 4 ( 2015).
- (2013): Control of time-dependent effects in steel-concrete composite frames. In: International Journal of Steel Structures, v. 13, n. 4 ( 2013).
- (2017): Service load analysis of composite frames using cracked span length frame element. In: Engineering Structures, v. 132 (Februar 2017).
- (2016): element incorporating cracking for reinforced concrete skeletal structures at service load. In: Advances in Structural Engineering, v. 20, n. 9 (Dezember 2016).
- (2017): Closed-form expressions for long-term deflections in high-rise composite frames. In: International Journal of Steel Structures, v. 17, n. 1 ( 2017).
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