Skip to main content

Long-term behavior of reduced length FRP tendons in post-tensioned steel beam-column connections

Research Abstract

The long-term behavior of different fiber reinforced polymer (FRP) tendons has been investigated experimentally
up to 2000 h. Seven half-scaled exterior post-tensioned (PT) beam-column connection subassemblies, containing reduced length basalt fiber reinforced polymer (BFRP), carbon fiber reinforced polymer (CFRP), and glass fiber reinforced polymer (GFRP) tendons, were tested. To simulate the actual loading conditions in real buildings, an equivalent gravity load was applied to each connection subassembly. Also, to investigate the PT force level effect, three PT force levels, up to 50 %, were applied to 10 mm BFRP tendons, while two PT force levels were applied to 10 mm CFRP tendons. Besides, a 20 % PT force level was applied to 10 mm GFRP tendons. In addition, to study the effect of tendons’ diameter on the long-term behavior, PT connection subassembly containing 12 mm diameter BFRP tendons with 30 % PT force level was tested. The maximum PT force losses were almost 6.1, 5.8, 4.0 % for BFRP, CFRP, and GFRP, respectively. Finally, according to the experimental test results, unified relaxation equations were proposed to predict the amount of PT force loss. Consequently, the predicted PT force losses for one-million-hour period were approximately 15.3 and 12.2 % for BFRP and CFRP tendons, respectively.

Research Authors
Mohamed F. M. Fahmy, Ahmed Samy B.Z. Hassan, Shehata E. Abdel Raheem, Mohamed Abdel-Basset Abdo
Research Date
Research Department
Research Journal
Engineering Structures
Research Pages
13pp.
Research Publisher
Elsevier
Research Rank
International journal
Research Vol
331
Research Website
https://doi.org/10.1016/j.engstruct.2025.119965
Research Year
2025

Feasibility of innovative topography-based hybrid renewable electrical power system: A case study

Research Abstract

Recently, climate change has attracted significant intension globally. Accordingly, numerous initiatives are under action for reducing the consumption of fossil fuels and increasing the share of renewable energy sources. This research work proposes an eco-friendly and sustainable electrical power system that could fully or partially fulfill requirements of the local load of the system under concern. The proposed power has the merit of utilizing topography of the site under concern, Al- Jabal Al-Gharbi district, Libya, to exploit the locally available resources such as biomass and sewage plants. The availability of resources was first studied, concluding that 110.87 × 106 m3⁄year are available for generating biogas and electricity. Moreover, biogas is extracted from biomass fermentation plants with a capacity of 244,845 tons/year produced from agricultural, municipality organic, livestock, and sewage residues in the …

Research Authors
Yasser Nassar, Ibrahim Mangir, Ahmad Hafez, Hala El-Khozondar, Mansour Salem, Hilmy Awad
Research Date
Research Department
Research Journal
Cleaner Engineering and Technology
Research Member
Research Pages
100650
Research Publisher
Elsevier
Research Vol
14
Research Website
https://scholar.google.com/scholar?oi=bibs&cluster=3829567900648083593&btnI=1&hl=en
Research Year
2023

A Differential PD/TIA Interface for Enhanced SNR and Baseline Wander Reduction in High-Speed CMOS Optical Receivers

Research Abstract

In this paper, a photodiode (PD)/transimpedance (TIA) interface is presented. The cathode terminal of the PD is AC-coupled to one of the inputs of a pseudo-differential TIA while the anode terminal is DC-coupled to the other input of the TIA. The DC-coupled input provides a path for the low-frequency component of the input signal to reach the output. This component is extracted by a baseline wander compensation scheme (BWCS) and fed to the input to eliminate signal drift after long data runs. Compared with the conventional pseudo-differential receiver, the proposed interface improves the gain, the gain-bandwidth product (GBW), and the signal-to-noise ratio (SNR) by 5dB, 1.37× and 4.5dB, respectively, while maintaining 209× smaller low cutoff frequency than the AC coupled receiver. The proposed interface is compatible with any TIA topology. Post-layout simulations and analytical models validate the feasibility of the proposed technique.

Research Authors
D. Abdelrahman and M. Atef
Research Date
Research Department
Research Journal
IEEE Access
Research Pages
126858-126865
Research Publisher
IEEE
Research Vol
12
Research Website
https://ieeexplore.ieee.org/document/10669000
Research Year
2024

An Integrated High-Gain Wide–Dynamic Range Photoplethysmography Sensor for Cardiac Health Monitoring

Research Abstract

This article presents a low-power, high-gain, and wide–dynamic range (DR) photoplethysmography (PPG) sensory system with a novel direct current (dc) compensation loop and light-emitting diode (LED) dimming control. The proposed PPG system exhibits a signal-aware performance, where, at strong PPG signal levels, the dc compensation loop’s capability of removing dc photocurrent is increased and the LED’s driving current is reduced. This ability allows the entire DR to be utilized by the useful alternating current (ac) component of the signal and reduces power dissipation. Fabricated in 0.35- μm standard CMOS technology, the proposed PPG sensor occupies an area of 1.744 mm2 . The proposed system exhibits a high gain and a low input-referred noise current of 19.6 MΩ and 11.23 pArms , respectively, while dissipating only 9.9 μW of power at the receiver’s analog frontend. The proposed dc compensation loop can remove up to 80 μA of dc photocurrent for 2% total harmonic distortion (THD), achieving a DR of 137 dB. An external microcontroller unit (MCU) uses a machine learning (ML) algorithm to extract blood pressure (BP) from the analog output of the implemented PPG sensor chip. Measurements from eight human subjects show a mean absolute error (MAE) and a standard deviation of 2.25 ± 2.82 mmHg for systolic BP (SBP) and 5.01 ± 2.10 mmHg for diastolic BP (DBP).

Research Authors
N. Mohan, D. Abdelrahman, N. F. Ali and M. Atef
Research Date
Research Department
Research Journal
IEEE Sensors Journal
Research Pages
10375-10384
Research Publisher
IEEE
Research Rank
7
Research Vol
24
Research Website
https://ieeexplore.ieee.org/document/10453460
Research Year
2024

Lightweight image super-resolution network based on dynamic graph message passing and convolution mixer

Research Authors
Garas Gendy, Jingchao Hou, Nabil Sabor, Guanghui He
Research Date
Research Department
Research Journal
Expert Systems With Applications
Research Member
Research Pages
1-11
Research Publisher
Elsevier
Research Vol
263
Research Year
2025

Lightweight image super-resolution network based on extended convolution mixer

Research Abstract

The single image super-resolution (SISR) is a computer vision task needed in many real-world applications. There are many methods developed to solve ill-posed SISR problem; however, these methods are based on attention mechanisms that need a large computing processing cost. So, these attention-based models cannot be used in real-world applications that need fast models. Thus, we propose an enhanced convolution mixer (EConvMixer) module to solve this SISR problem by using lower computing convolution layers. The EConvMixer is designed based on utilizing three convolution types, namely the dilated depthwise convolution for increasing the receptive field, the depthwise convolution for mixing spatial locations, and the pointwise convolution for mixing channel locations. Based on using this EConvMixer layer, we build a lightweight extended convolution mixer network (EConvMixN) for SR images …

Research Authors
Garas Gendy, Nabil Sabor, Guanghui He
Research Date
Research Department
Research Journal
Engineering Applications of Artificial Intelligence
Research Member
Research Pages
1-11
Research Publisher
Elsevier
Research Vol
133
Research Year
2024

Artificial Intelligent Fuzzy Control and LAPO Algorithm for Enhancement LVRT and Power Quality of Grid Connected PV/ Wind Hybrid Systems

Research Abstract

Abstract

Low Voltage Ride Through (LVRT) is considered one of the main and serious problems facing the electrical grid. It occurs due to three-phase symmetric faults and asymmetric faults such as a double line to ground fault that applies in this system. This paper applies Static Synchronous Compensators (STATCOM) to improve the LVRT capability and dynamic performance of an electrical grid linked to a Photovoltaic (PV)/Wind hybrid system through grid disturbances. A hybrid power system containing a PV station that produces 1 MW and a wind farm from type Doubly Fed Induction Generator (DFIG) that produces 9 MW is connected to STATCOM with 48 pulses at PCC bus and energized load. It compensates reactive power to improve LVRT that occurred due to fault. The applied STATCOM controller adjusts the voltage of the PCC bus during an occuring fault on the grid by compensating reactive power. STATCOM is controlled by a Proportional–Integral–Derivative (PID) and is compared with STATCOM controlled by Artificial Intelligence Control (AIC)-based on Proportional—Integral Fuzzy Logic Control (PI FLC). The Lightning Attachment Procedure Optimization Algorithm (LAPO) optimization method is used to adjust the parameters of the PI controller to reduce error signals. A simulation model of the suggested hybrid power system has been performed using Matlab/Simulink. The simulation results of STATCOM proved powerful and the effectiveness of STATCOM with PI FLC in reducing voltage dip, compensating active power of wind and PV farm, protecting DC-link voltage of PV and wind from overvoltage and oscillation that happens at three-phase fault and double line to ground fault as compared with PID STATCOM in enhancement LVRT capability, and power quality.

Research Authors
Noura G. EL Sayed, Ali M. Yousef, Gaber El-Saady, Meshari D. Alanazi, Hamdy A. Ziedan, Montaser Abdelsattar
Research Date
Research Department
Research Journal
Scientific Reports,
Research Pages
30475
Research Publisher
Nature
Research Rank
1
Research Vol
14
Research Website
https://doi.org/10.1038/s41598-024-78384-5
Research Year
2024
Subscribe to