EMI 2022 Book of Abstracts-

1999

2022

The Journal of Engineering and Exact Sciences

Wind energy is a promising renewable energy source that can contribute to addressing the energy challenges faced by countries such as Nigeria and South Africa. Wind turbine modeling has emerged as a critical tool for optimizing the design, operation, and maintenance of wind turbines, as well as for integrating wind energy into the power grid. This approach can potentially enhance the performance and reliability of wind turbines, increase their energy production, and reduce their environmental impact. The review examines various wind turbine modeling approaches and techniques. It also discusses these modeling approaches' strengths and limitations and highlights their potential applications in addressing energy challenges in Nigeria and South Africa. Overall, this comprehensive review provides valuable insights into the potential for wind turbine modeling to address energy challenges in Nigeria and South Africa. It provided a thorough analysis of the current state of wind turbine ...

Sensors

This paper presents a comprehensive review of the state-of-the-art developments in health monitoring of marine structures. Monitoring the health of marine structures plays a key role in reducing the risk of structural failure. The authors establish the different sensors with their theoretical foundations and applications in order to determine the optimal position of the sensors on board. Once the data were collected, it was necessary to use for subsequent treatment; thus, the authors identified the different methodologies related to the treatment of data collected by the sensors. The authors provide a historical review of the location of different sensors depending on the type of ship and offshore platform. Finally, this review paper states the conclusions and future trends of this technology.

Structural Control and Health Monitoring, 2013

Computational Intelligence and Neuroscience

The present study aims to design a robust adaptive controller employed in the active tuned mass damper (ATMD) system to overcome undesirable vibrations in multistory buildings under seismic excitations. We propose a novel adaptive type-2 neural-fuzzy controller (AT2NF). All system parameters are taken as unknowns. The MLP neural network is used to extract the Jacobian and estimate the structural model; then, the estimated model is applied to the controller online. To tune the control force applied to the ATMD and achieve the control targets, the controller parameters are adaptively trained using the extended Kalman Filter (EKF) and the error back-propagation algorithm. A PID controller is also included in this method to increase the stability and robustness of the adaptive type-2 neural-fuzzy controller against seismic vibrations. An online simple adaptive controller (OSAC) is studied to demonstrate the suggested controller’s superiority. The OSAC is based on adaptive control of the...

2018

Many bridges in the nation’s transportation infrastructure network have been found to be structurally deficient. In face of a natural or man-made disaster, this poses a serious threat to the execution of emergency respondent logistics, as the failure of such structures could disconnect communities from the necessary provisions and services that must remain accessible after a disaster. To predict such an eventuality, dependable information on structural status for decision-making can be obtained from structural health monitoring (SHM) systems. However, the avoidance of such a situation is preferred. Structural control systems offer an option to improve structural response during extreme loading events. To this date, some bridges have been instrumented with SHM and control systems that operate simultaneously, but independently without using the information that each provides to enhance operational efficiency in the other. If the information on structural status provided by an SHM syst...

Sensors

Recently, vibration-based monitoring technologies have become extremely popular, providing effective tools to assess the health condition and evaluate the structural integrity of civil structures and infrastructures in real-time. In this context, battery-operated wireless sensors allow us to stop using wired sensor networks, providing easy installation processes and low maintenance costs. Nevertheless, wireless transmission of high-rate data such as structural vibration consumes considerable power. Consequently, these wireless networks demand frequent battery replacement, which is problematic for large structures with poor accessibility, such as long-span bridges. This work proposes a low-power multi-hop wireless sensor network suitable for monitoring large-sized civil infrastructures to handle this problem. The proposed network employs low-power wireless devices that act in the sub-GHz band, permitting long-distance data transmission and communication surpassing 1 km. Data collecti...

HumaNetten, 2019