Research Title: Macro-engineering Design for an Artificial Lake in Southeastern Jordan
Author: Mustafa Awwad Al Khawaldeh, Published Year: 2022
Faculty: Engineering and Technology

Abstract: Water situation in Jordan has become very critical. A feasible solution is to desalinate water drawn from Gulf of Aqaba (GoA). Another problem that Jordan faces is the very short coastline. These two problems can be solved by developing an artificial lake in south Jordan. The water from the lake can be desalinated while the lake itself provides a badly needed coastline. This work presents a macro-engineering design for the proposed lake; The proposed project is named "Red Sea-Jafer Basin Conduit (RSJBC)"; it involves a pipeline connecting GoA at the Red Sea with Jafer Basin (JB) in the south-eastern desert, where the topography of the region is exploited to develop an artificial Lake. Using multiple pumping stations, seawater will be pumped from GoA to JB though a 220 km long pipeline. After constructing the project, it will take three years to fill-up the Lake. Once it is filled, the pumping rate is reduced from 51 to 30 m3/s. However, based on fresh water needs, a volume of up to 21 m3/s can be desalinated. The suggested pipeline route has a curved path (CP) to avoid the mountains if it were to go straight path (SP). A comparison is conducted between CP and SP, where it was found that CP offers the lowest development cost for RSJBC, given fabric pipe is used. More specifically,a pipe diameter of 6 m enables total development cost of 2.74 B$, with corresponding annual operating cost of 306 M$.

Keywords: Artificial Lake, Jordan desert, Gulf of Aqaba, Jafer Basin, Water transport, Pumping station, Gravity flow, Seawater pipeline, Seawater pumping, Tourist attraction development.

Research Title: Obstacles Avoidance for Mobile Robot Using Type-2 Fuzzy Logic Controller
Author: Mustafa Awwad Al Khawaldeh, Published Year: 2022
Robotics, 11(6)
Faculty: Engineering and Technology

Abstract: Intelligent mobile robots need to deal with different kinds of uncertainties in order to perform their tasks, such as tracking predefined paths and avoiding static and dynamic obstacles until reaching their destination. In this research, a Robotino® from Festo Company was used to reach a predefined target in different scenarios, autonomously, in a static and dynamic environment. A Type-2 fuzzy logic controller was used to guide and help Robotino® reach its predefined destination safely. The Robotino® collects data from the environment. The rules of the Type-2 fuzzy logic controller were built from human experience. They controlled the Robotino® movement, guiding it toward its goal by controlling its linear and angular velocities, preventing it from colliding obstacles at the same time, as well. The Takagi–Sugeno–Kang (TSK) algorithm was implemented. Real-time and simulation experimental results showed the capability and effectiveness of the proposed controller, especially in dealing with uncertainty problems.

Keywords: mobile robot; Robotino®; static and dynamic obstacle-avoidance environment; Type-2 fuzzy logic controller; wireless sensor network

Research Title: Evaluating social sustainability in Jordanian residential neighborhoods: a combined expert-user approach
Author: Alaa Saleh Al Shdiefat, Published Year: 2022
Faculty: Engineering and Technology

Abstract: Neighborhood sustainability has assumed a pole position as a topic of interest in the past years, addressed through dedicated strands of most of the globally adopted sustainability rating tools, such as LEED and BREEAM. Considering sustainability assessment, the social sustainability of neighborhoods assumes a certain particularity, not only in terms of its high context dependence pertaining to its locality, but in its means of assessment as well, with people as a key potential evaluator for matters that are not bound to quantitative aspects. This research focused on developing a framework for rating social sustainability in neighborhoods, utilizing a quantitative approach that builds upon insights obtained by an extended group of experts and end users. It combines the Delphi and AHP techniques along with the case study approach to develop a framework that suits the Jordanian local context, where a particular neighborhood, Dahiyat Al Hussein in Amman, is used for validation. The research revealed that rating the social sustainability of neighborhoods is not only highly guided by the local context it addresses, but is also reliant on the level of understanding and adoption of the concept itself as attained by the people.

Keywords: Social sustainability, Neighborhood, Rating system, Delphi technique, AHP, Local context

Research Title: Experimental and numerical study of strengthening and repairing heat-damaged RC circular column using hybrid system of CFRP
Author: Ala Taleb Obaidat, Published Year: 2022
Case Studies in Construction Materials,
Faculty: Engineering and Technology

Abstract: This study aims to investigate the behavior of heat damaged reinforced concrete RC circular column considering effect of heat and repair technique. Six RC circular column with diameter of 185 mm and 800 mm in height were cast, heated at 400 °C and 600 °C for 3 h, strengthened and repaired with hybrid system of CFRP and then tested under concentric load. Also, four RC circular columns from Obaidat et al. (2020) [3] were used for comparison. Complementary to the experimental investigation, a finite element modeling (FEM) was developed to simulate the compression behavior of heat damaged RC circular column. The result showed that specimens strengthened and repaired with hybrid system SC-H23-COMP and (DC-H400-COM and DC-H600-COM) exhibited the higher improvement in compression capacity about 100.4% and (86.7% and 53%), receptively, more than the control specimens. It was concluded that as the temperature increases the strength of the specimen decreases. Moreover, the strength in repaired specimens by hybrid system increased by 64.9% and 48.85% more than unheated control RC column specimen CC-COM. Finally, the FEM results provides a good agreement with experimental results and the model capable to predict the compression behavior of the RC circular column.

Keywords: Heat damagedStrengtheningRepairingCarbon fiber reinforced polymers CFRPHybrid systemStress-strainRC circular columnFinite element model

Research Title: BehaviBehaviour of heat damaged repaired reinforced SCC cantilever beam using carbon fiber reinforced polymer rope
Author: Ala Taleb Obaidat, Published Year: 2022
Faculty: Engineering and Technology

Abstract: This study investigated the behaviour of self-compacted cantilever concrete (SCCC) beams exposed to high temperature and repaired using near surface mounted carbon fibre (NSM-CFRP) rope. Nine (SCCC) beam specimens with cross sectional area of (150 mm × 150 mm) and 750 mm in length were constructed and tested. Seven beam specimens were exposed to 400 °C and 500 °C for two hours and then repaired using NSM-CFRP rope. The tested SCCC specimens were divided into four groups to study the effect of temperature, location and number of NSM rope. Results showed that using NSM-CFRP rope as retrofitting or strengthening techniques at the sides of cantilever beam had a significant effect on load-deflection behaviour compared to other techniques. It was concluded that using NSM-CFRP rope as retrofitting or strengthening techniques depend on the number of rope and position of ropes. Moreover, increasing the number of ropes to two at top of the beam had a limited impact upon load capacity. On the other hand, rehabilitated (SCC) beams specimens damaged by heat up to 500 °C for 2 h with two CFRP ropes at sides and top surface exhibited load capacity about 197% and 101%, respectively, as control specimen.

Keywords: Heat damagedstrengtheningrepairingcarbon fibre reinforced polymers (CFRP)stress-strainself-compacted cantilever concrete (SCC)

Research Title: Experimental and analytical investigation of using externally bonded, hybrid, fiber-reinforced polymers to repair and strengthen heated, damaged RC beams in flexure
Author: Ala Taleb Obaidat, Published Year: 2022
Faculty: Engineering and Technology

Abstract: Purpose – This study aims to conduct an experimental study and finite element model (FEM) to investigate the flexural behavior of heat-damaged beams strengthened/repaired by hybrid fiber-reinforced polymers (HFRP). Design/methodology/approach – Two groups of beams of (150 3 250 3 1,200) mm were cast, strengthened and repaired using different configurations of HFRP and tested under four-point loadings. The first group was kept at room temperature, while the second group was exposed to a temperature of 4008C. Findings – It was found that using multiple layers of carbon fiber-reinforced polymer (CFRP) and glass fiberreinforced polymer (GFRP) enhanced the strength more than a single layer. Also, the order of two layers of FRP showed no effect on flexural behavior of beams. Using a three-layer scheme (attaching the GFRP first and followed by two layers of CFRP) exhibited increase in ultimate load more than the scheme attached by CFRP first. Furthermore, the scheme HGC (heated beam repaired with glass and carbon, in sequence) allowed to achieve residual flexural capacity of specimen exposed to 4008C. Typical flexural failure was observed in control and heat-damaged beams, whereas the strengthened/repaired beams failed by cover separation and FRP debonding, however, specimen repaired with two layers of GFRP failed by FRP rupture. The FEM results showed good agreement with experimental results. Originality/value – Few researchers have studied the effects of HFRP on strengthening and repair of heated, damaged reinforced concrete (RC) beams. This paper investigates, both experimentally and analytically, the performance of externally strengthened and repaired RC beams, in flexure, with different FRP configurations of CFRP and GFRP.

Keywords: Hybrid fiber-reinforced polymers, Heat, Repairing, Strengthening, RC beams, Flexure, Glass FRP, Carbon FRP

Research Title: Modeling of confined circular RC columns using artificial neural network and finite element method
Author: Ala Taleb Obaidat, Published Year: 2022
Structures, 40
Faculty: Engineering and Technology

Abstract: A Finite Element (FE) and an Artificial Neural Network (ANN) model were developed to investigate the effect of different parameters, such as the space between stirrups and the diameter of longitudinal steel, on the behavior of circular Reinforced-Concrete (RC) columns confined with fiber reinforced polymer (FRP) sheets using the actual hoop rupture strain of the FRP. The FE model was accomplished using the FE software ABAQUS 6.13 which incorporates the nonlinear behavior of concrete material, the bilinear stress–strain curve of steel, and the linear elastic behavior of FRP. It was found that there is a good agreement between the FE model (FEM) results and the experiments. The ANNs were trained and tested on an experimental database from the literature. The database contains the experimental ultimate FRP strain, and the ultimate load results of 92 FRP confined circular RC columns. The ANN results agreed well with the FEM results. The neural network results were carried out to develop empirical equations to predict the effective rupture FRP strain and the ultimate load for circular confined RC columns with R2 of 0.912 and 0.932, respectively. The proposed equations estimate the ultimate strain from experimental works of the FRP with a small error up to 20%. In addition, the predicted results from the proposed equations exhibited good accuracy compared with previous guidelines and experimental and FE results from the literature, and it can be easily used in engineering designs as well.

Keywords: Fiber reinforced polymer (FRP)ConcreteColumnConfinementFinite element analysis (FEA)Artificial neural network (ANN)

Research Title: V2V BER Enhancement based on FFH-OFDM
Author: Qadri Jamal Al-Hamarsheh, Published Year: 2021
The 2nd International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2021, China
Faculty: Engineering and Technology

Abstract: This paper describes the performance enhancement for the V2V communications based on LTE systems. Due to the mobility factor among the communicating nodes, V2V systems have a major drawback from the bandwidth point of view. Thus, a study of the V2V systems based on BER performance enhancement has been investigated. This proposition is based on making use of both of fast frequency hopping orthogonal frequency division multiplexing and the multiple antennas to mitigate the Doppler spread effect on the V2V clustering benchmark, which contains both of a clustering weighting factor based stage and a multiparallel processing stage. The results show a noticeable stability compared to our previously published work by almost 25%, which also exceeds the achieved results from the Lower-ID DCA from both of the speed and communication range.

Keywords: OFDM, FFH, V2V, Clustering Algorithm

Research Title: Compression behavior of confined circular reinforced concrete with spiral CFRP rope with different slenderness ratios
Author: Ala Taleb Obaidat, Published Year: 2022
Results in Engineering, 16
Faculty: Engineering and Technology

Abstract: https://doi.org/10.1016/j.rineng.2022.10

Keywords: Carbon Fibre Reinforced Polymers (CFRP); strengthening; reinforced concrete beam; flexure; debonding

Research Title: Enhancing the LTE-Based Intelligent Transportation System’s Performance
Author: Qadri Jamal Al-Hamarsheh, Published Year: 2021
Wireless Personal Communications, vol. 117, no. 3
Faculty: Engineering and Technology

Abstract: Intelligent transportation system is considered as one of the main features of the new generation of the wireless systems. Furthermore, both of high speed data transmission and processing play a crucial role for these generations. In this work, two main propositions have been detailed in order to attain an improvement in such intelligent systems performance and to enhance both of data transmission and processing speed. Thus, a proposed clustering algorithm will be presented for grouping mobile nodes based on their speeds besides the assignments of the head nodes that will not be updated every cycle, while the ordinary ones themselves will execute their attaching heads continuously. In order to enhance the speed of data transmission and processing, a parallel-processing technique is emphasized. This is based on a variety of wavelet baby functions to attain the target of increasing the speed with low complexity. In addition, the optimization of the transmitted power phenomenon, the Multiband orthogonal frequency division multiplexing is used to provide such privilege via the parallel processing criterion. There have been five main efficiency factors involved in this investigation; namely complementary cumulative distributions, bit rates, energy efficiency, the cluster head life time and the ordinary nodes reattaching-head average times.

Keywords: UWB-MB-OFDM · V2V · Energy efficiency · Clustering algorithm