S. Ahmad Fazelzadeh and Emad Azadi
The purpose of this paper is to analyze and control the thermally induced vibration of orbiting smart satellite panels, which have been modeled as functionally graded material…
Abstract
Purpose
The purpose of this paper is to analyze and control the thermally induced vibration of orbiting smart satellite panels, which have been modeled as functionally graded material (FGM) beams.
Design/methodology/approach
It is assumed that the satellite moves in a circular orbit and has pitch angle rotation maneuver. Rapid temperature changes at day–night transitions in orbit generate time dependent bending moments that induce vibrations in the appendages. So, the heat radiation effects on the appendages should be considered. The thermally induced vibrations of the appendages and the nonlinear heat transfer equation are coupled and should be solved simultaneously. So, the governing equations of the motion are nonlinear and very complicated ones. A robust passivity-based controller is proposed to control the satellite maneuver and appendages vibrations, using piezoelectric sensors/actuators.
Findings
After the simulation, the effects of the heat radiation, piezoelectric actuators and piezoelectric locations on the response of the system are studied. The results of dynamic response and thermal analysis show that the radiation thermal effects are coupled with structure dynamic. These effects induce the vibration. Also, the effectiveness and the capability of the controller are analyzed. The results of the simulation show that the robust passivity-based control can ensure that the satellite rotates in the desired trajectory and vibrations of the appendages are damped. It demonstrates that the proposed control scheme is feasible and effective.
Originality/value
The paper is the basis of deriving the governing equations, thermal analysis and a robust control system design of a smart satellite with FGM panels.
Details
Keywords
Rania Albsoul, Muhammad Ahmed Alshyyab, Baraa Ayed Al Odat, Nermeen Borhan Al Dwekat, Batool Emad Al-masri, Fatima Abdulsattar Alkubaisi, Salsabil Awni Flefil, Majd Hussein Al-Khawaldeh, Ragad Ayman Sa'ed, Maha Waleed Abu Ajamieh and Gerard Fitzgerald
The purpose of this paper is to explore the perceptions of operating room staff towards the use of the World Health Organization Surgical Safety Checklist in a tertiary hospital…
Abstract
Purpose
The purpose of this paper is to explore the perceptions of operating room staff towards the use of the World Health Organization Surgical Safety Checklist in a tertiary hospital in Jordan.
Design/methodology/approach
This was a qualitative descriptive study. Semi-structured interviews were conducted with a purposeful sample of 21 healthcare staff employed in the operating room (nurses, residents, surgeons and anaesthesiologists). The interviews were conducted in the period from October to December 2021. Thematic analysis was used to analyse the data.
Findings
Three main themes emerged from data analysis namely compliance with the surgical safety checklist, the impact of surgical safety checklist, and barriers and facilitators to the use of the surgical safety checklist. The use of the checklist was seen as enabling staff to communicate effectively and thus to accomplish patient safety and positive outcomes. The perceived barriers to compliance included excessive workload, congestion and lack of training and awareness. Enhanced training and education were thought to improve the utilization of the surgical safety checklist, and help enhance awareness about its importance.
Originality/value
While steps to utilize the surgical safety checklist by the operation room personnel may seem simple, the quality of its administration is not necessarily robust. There are several challenges for consistent, complete and effective administration of the surgical safety checklist by the surgical team members. Healthcare managers must employ interventions to eliminate barriers to and offer facilitators of adherence to the application of the surgical safety checklist, therefore promoting quality healthcare and patient safety.
Details
Keywords
Suhang Yang, Tangrui Chen and Zhifeng Xu
Recycled aggregate self-compacting concrete (RASCC) has the potential for sustainable resource utilization and has been widely applied. Predicting the compressive strength (CS) of…
Abstract
Purpose
Recycled aggregate self-compacting concrete (RASCC) has the potential for sustainable resource utilization and has been widely applied. Predicting the compressive strength (CS) of RASCC is challenging due to its complex composite nature and nonlinear behavior.
Design/methodology/approach
This study comprehensively evaluated commonly used machine learning (ML) techniques, including artificial neural networks (ANN), random trees (RT), bagging and random forests (RF) for predicting the CS of RASCC. The results indicate that RF and ANN models typically have advantages with higher R2 values, lower root mean square error (RMSE), mean square error (MSE) and mean absolute error (MAE) values.
Findings
The combination of ML and Shapley additive explanation (SHAP) interpretable algorithms provides physical rationality, allowing engineers to adjust the proportion based on parameter analysis to predict and design RASCC. The sensitivity analysis of the ML model indicates that ANN’s interpretation ability is weaker than tree-based algorithms (RT, BG and RF). ML regression technology has high accuracy, good interpretability and great potential for predicting the CS of RASCC.
Originality/value
ML regression technology has high accuracy, good interpretability and great potential for predicting the CS of RASCC.