Advanced Materials and Smart Infrastructure Systems (AMSIS)
Muhammad M. Sherif
Assistant Professor
Advanced Materials and Smart Infrastructure Systems (AMSIS)
GoogleScholar & ResearchGate Records

Citations 177
h-index 7
i10-index 6
RG-Score 17.88
Reads 1978

The chart showing Series 1 series.

Updated:  08 March 2021
No data to display

Muhammad M. Sherif
Assistant Professor

Ph.D. 2018 - University of Virginia, USA
M.S. 2013 - Carnegie Mellon University, USA
B.S. 2011 - United Arab Emirates University, UAE

Advanced Materials and Smart Infrastructure Systems (AMSIS)
Department of Civil, Construction and Environmental Engineering
University of Alabama - Birmingham (UAB)
Hoehn Engineering Building, Office 331
Phone: (205) 934-8436


FirstPrevPage 1 of 3NextLast

Response surface analysis of statistical features of voltage and current in a GMAW powersource on welding v-groove joints

Dinu ThomasThekkuden, Abdel-Hamid I. Mourad, Muhammad M. Sherif*

Past studies have suggested that welding current and voltage are signature variables that have potential information on welding quality and can be used for real-time monitoring while welding. This work explores the interaction between gas metal arc welding parameters such as stick out distance, gas flow rate and transverse speed to the mean and standard deviation of welding voltage and current. SA 516 gr.70 boiler plates with v-grooves were welded using KUKA KR robot and Fronius TPS 5000 power source. Data acquisition system with a sampling rate of 8 kHz was used to acquire current and voltage data during welding. Experimental tests were organized using central composite design. Mean and standard deviation of voltage and current are analyzed using response surface analysis. The measured voltage was confirmed previously to be an effective parameter for detecting porosity using control chart and probability density distribution. Therefore, in this research, the effects and interactions of welding parameters are statistically analyzed. Stick out distance is concluded to be the most effective factor on to the responses being investigated. A change in the gas flow rate can affect the voltage significantly but will not alter the welding current. In addition, mathematical models are developed to forecast mean and normal voltage and current deviations in real-time.

Full-Field Deformation and Thermal Characterization of GNP/Epoxy and GNP/SMA Fiber/Epoxy Composites

Ugur Kilic, Muhammad M. Sherif*, Sherif M. Daghash, Osman E. Ozbulut

Shape memory alloys (SMAs) are a class of metallic alloys that possess remarkable characteristics such as superelasticity and shape memory effect. Superelastic SMAs have been considered as fiber in polymer composites due to their ability to recover their deformation upon removal of load, good energy dissipation capacity and impact resistance. Graphene nanoplatelets (GNPs) consists of small stacks of graphene sheets that are two-dimensional. Both sides of atomic lattice of GNPs contact matrix of a composite system and can generate more sites for potential chemical and physical bonding with the host material. Most importantly, graphene sheets and their derivatives can be produced at large-scale for industrial demand at low-cost.

This study explores the fabrication of multi-scale reinforced epoxy matrix composites in which GNPs and SMA strands are employed as nano- and micro-scale reinforcements, respectively. First, GNPs are dispersed into a ductile and brittle epoxy matrix to produce GNP/epoxy nanocomposites. To study the effect of GNP content on the behavior of the developed nanocomposite, GNPs are added to the epoxy-hardener mixture at different weight percentages (neat, 0.1%, 0.25%, 0.5%, 1%, and 2%). Uniaxial tensile tests of the developed nanocomposites are conducted under monotonic load up to failure. The optimum GNP content for GNP-reinforced epoxy matrix is determined and used in the fabrication of SMA fiber/epoxy composite. The developed multiscale reinforced epoxy composites are tested under tensile loading and their full-field strain and temperature behavior are monitored and evaluated using a digital image correlation system and an infrared thermal camera.

Investigations on Cyclic Flexural Behavior of Fiber Reinforced Cementitious Composites using Digital Image Correlation and Acoustic Emissions

M. Sherif*, O.E. Ozbulut, J. Tanks

Superelastic shape memory alloys (SE SMAs) are smart materials that recover 6–8% of inelastic strains upon unloading and exhibit good energy dissipation. In this study, the mechanical behavior of cementitious composites, reinforced with steel and SE SMA fibers, under flexure was examined. Fiber reinforced concrete, with a total fiber volume ratio of 0.6%, was prepared and a third point bending flexural test was conducted using an incrementally increasing displacement loading protocol. DIC was used to measure the strain and displacement contours and detect the crack width propagation. The results of the cyclic flexural testing were analyzed to assess the re-centering and crack recovery capabilities. Acoustic emissions (AE) were monitored using AE transducers to predict the failure modes (fiber pullout/matrix cracking). The AE were analyzed using average frequency, cumulative energy, duration and hits. The correlation between the DIC and AE was investigated. The results suggest that the crack data can be correlated with AE.

Feasibility of using Shape Memory Alloys as Fiber Reinforcement in Concrete

Evelina M Khakimova, Muhammad M Sherif*, Jonathon D Tanks, Osman E Ozbulut, Devin K Harris, Celik Ozyildirim

Serviceability and post-event functionality of reinforced concrete bridge structures is greatly influenced by concrete durability, resistance to cracking and deformation recovery. Steel fiber reinforced concrete displays improved toughness and resistance to cracking. Plastic deformations of steel fibers provide significant energy dissipation. Deflection hardening behavior of steel fiber reinforced concrete mixtures leads to tighter cracks, which inhibits the penetration of harmful solutions into the concrete. However, steel fibers experience permanent deformations upon yielding and cannot provide self-centering and crack-closing properties. In this study, the use of randomly distributed shape memory alloy (SMA) fibers in concrete is studied. Five types of beam specimens with the dimensions of 76 mm × 76 mm × 292 mm are prepared for flexural tests. The first beam specimen is a plain concrete beam that serves as benchmark. The second specimen is a steel fiber reinforced concrete beam and includes 0.6% of steel fiber by volume. For the other specimens, 25%, 50% and 100% of steel fibers respectively are replaced with the NiTi SMA fibers. The SMA fibers possess a roughened surface for improved bond behavior. Three point bending tests are conducted on all specimens under cycling loading. An acoustic emission system was used to determine energy release levels during concrete cracking and fiber pullout. An optical Digital Image Correlation method is also used to measure full-field deformations and track the damage evolution on the surface of the specimens. Test results are analyzed in terms of tensile strength capacity, mid-span deflection, and crack width for each specimen.

Experimental Characterization of Shape Memory Alloy Cables for Applications in Civil Structures

O.E. Ozbulut, S. Daghash, M. Sherif*

O.E. Ozbulut, S. Daghash, M. Sherif, “Experimental Characterization of Shape Memory Alloy Cables for Applications in Civil Structures”, 3rd Conference on Smart Monitoring and Rehabilitation of Civil Structures, Antalya, Turkey, September 7 - 9, 2015.
FirstPrevPage 1 of 3NextLast