activity
20202023
most citedAdaptive Importance Sampling based Neural Network framework for Reliability and Sensitivity Prediction for Variable Stiffness Composite Laminates with hybrid uncertainties

20 citations · 26 across the 4 of their papers we have counts for

collaborators

4 papers

math.NA2023★ 2 cited

Optimal design of Piezoelectric Energy Harvesters for bridge infrastructure: Effects of Location and Traffic Intensity on Energy Production

Shaui Yao, Patricio Peralta-Braz, Mehri Makki Alamdari +3

Piezoelectric energy harvesters (PEHs) can be used as an additional power supply for a Structural Health Monitoring (SHM) system. Its design can be optimised for the best performan…

cs.CE2022

On the Joint Optimization of Energy Harvesting and Sensing of Piezoelectric Energy Harvesters: Case Study of a Cable-Stayed Bridge

Patricio Peralta-Braz, Mehrisadat Makki Alamdari, Rafael O. Ruiz +2

Piezoelectric Energy Harvesters (PEHs) are typically employed to provide additional source of energy for a sensing system. However, studies show that a PEH can be also used as a se…

cs.CE2022★ 4 cited

Design optimisation of piezoelectric energy harvesters for bridge infrastructure

Patricio Peralta-Braz, Mehrisadat Makki Alamdari, Rafael O. Ruiz +2

Vibrational energy harvested from the bridge excitation due to the traffic flow or the wind load can be supplied to sensors in a Structural Health Monitoring (SHM) system and help…

math.NA2020★ 20 cited

Adaptive Importance Sampling based Neural Network framework for Reliability and Sensitivity Prediction for Variable Stiffness Composite Laminates with hybrid uncertainties

Tittu Varghese Mathew, P Prajith, RO Ruiz +2

In this work, we propose to leverage the advantages of both the Artificial Neural Network (ANN) based Second Order Reliability Method (SORM) and Importance sampling to yield an Ada…