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

Citations 451
h-index 12
i10-index 13
RG-Score 21.55
Reads 2958

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Updated:  15 January 2023
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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


SCImago Journal & Country Rank Torsional Crack Localization in Palm Oil Clinker Concrete Using Acoustic Emission Method

Safdar Khan, Soon P. Yap, Chee G. Tan, Reventheran Ganasan, Muhammad M. Sherif* & Ahmed El-Shafie

Palm oil clinker (POC) aggregates is a viable alternative to the naturally occurring sand and gravel in the manufacturing of concrete. The usage of POC aggregates assists in the reduction of solid waste and preserves the consumption of natural resources. Although researchers investigated the mechanical response of POC-containing concrete, limited research is available for its torsional behavior. In general, the torsional strength depends on the tensile strength of concrete. This research investigates the compressive, tensile, and torsional response of concrete with various ratios of POC-aggregates. Five batches of concrete were casted with POC-aggregate replacing granite at ratios of 0, 20, 40, 60, and 100%. The selection for the mixture proportions for the various batches was based on the design of experiments (DOE) methodology. The hard density, compressive strength, splitting tensile strength, and flexural strength of concrete with a 100% replacement of granite with POC-aggregates reduced… Details
1 9/20/2021
SCImago Journal & Country Rank Development of Crack Width Prediction Models for RC Beam-Column Joint Subjected to Lateral Cyclic Loading Using Machine Learning

Reventheran Ganasan, Chee G. Tan, Zainah Ibrahim, Fadzli M. Nazri, Muhammad M. Sherif* & Ahmed El-Shafie

In recent years, researchers have investigated the development of artificial neural networks (ANN) and finite element models (FEM) for predicting crack propagation in reinforced concrete (RC) members. However, most of the developed prediction models have been limited to focus on individual isolated RC members without considering the interaction of members in a structure subjected to hazard loads, due to earthquake and wind. This research develops models to predict the evolution of the cracks in the RC beam-column joint (BCJ) region. The RC beam-column joint is subjected to lateral cyclic loading. Four machine learning models are developed using Rapidminer to predict the crack width experienced by seven RC beam-column joints. The design parameters associated with RC beam-column joints and lateral cyclic loadings in terms of drift ratio are used as inputs. Several prediction models are developed, and the highest performing neural networks are selected, refined, and optimized using the various… Details
3 8/21/2021
SCImago Journal & Country Rank Impact of Prolonged Exposure of Eleven Years to Hot Seawater on the Degradation of a Thermoset Composite

Amir H. Idrisi, Abdel-Hamid I. Mourad, Muhammad M. Sherif*

This paper presents a long-term experimental investigation of E-glass/epoxy composites’ durability exposed to seawater at different temperatures. The thermoset composite samples were exposed to 23 °C, 45 °C and 65 °C seawater for a prolonged exposure time of 11 years. The mechanical performance as a function of exposure time was evaluated and a strength-based technique was used to assess the durability of the composites. The experimental results revealed that the tensile strength of E-glass/epoxy composite was reduced by 8.2%, 29.7%, and 54.4% after immersion in seawater for 11 years at 23 °C, 45 °C, and 65 °C, respectively. The prolonged immersion in seawater resulted in the plasticization and swelling in the composite. This accelerated the rate of debonding between the fibers and matrix. The failure analysis was conducted to investigate the failure mode of the samples. SEM micrographs illustrated a correlation between the fiber/matrix debonding, potholing, fiber pull-out, river line … Details
11 6/30/2021
SCImago Journal & Country Rank Tensile characterization of graphene nanoplatelet/shape memory alloy/epoxy composites using digital and thermal imaging

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

This article explores the tensile deformation and failure characteristics of a hybrid composite where microscale shape memory alloy (SMA) fibers and nanoscale graphene nanoplatelets (GNPs) were used to reinforce a ductile epoxy matrix. First, the GNPs were incorporated into epoxy system using a hybrid dispersion technique at various weight percentages ranging from 0.25 to 2.50?wt%. The mechanical properties of GNP composites were investigated using monotonic uniaxial tensile tests to failure and were compared to neat epoxy. The GNP concentration that resulted in highest enhancement in tensile properties of the epoxy was identified. Then, the GNP/SMA/epoxy composites were fabricated using a vacuum assisted hand lay-up technique. The composites were reinforced with SMA fibers at 50% volume ratio and an optimal GNP concentration was added. The tensile response of the developed composites was characterized using full-field strain measurements captured by a digital image correlation system,… Details
8 12/2/2020
SCImago Journal & Country Rank Tensile characterization of graphene nanoplatelets (GNP) mortar using acoustic emissions

Zhangfan Jiang, Muhammad M. Sherif*, Guohua Xing & Osman E. Ozbulut

This study characterizes tensile behavior of graphene nanoplatelets (GNPs) reinforced cementitious composites using acoustic emissions (AE). Two acoustic sensors were attached to dog-bone specimens that were cast using GNP nano-reinforced mortar composites at concentration levels of 0% to 0.5 % by weight of cement. The specimens were tested under direct tensile loading and the average tensile strength was calculated. AE parameters such as average frequency (AF) and rise time over amplitude (RA) were used to analyze the cracking mode. Average RA was studied to investigate the effect of GNPs reinforcement. A correlation between average acoustic energy and the tensile strength was established. In addition, the acoustic emissions data was analyzed for the localization of cracks along the length of the specimens. Results indicated that the addition of GNPs increased the tensile strength of the cementitious composites by 8%–48%. In addition, the AE analysis revealed a delay in crack initiation… Details
13 12/1/2020
SCImago Journal & Country Rank Influence of Graphite and Polytetrafluoroethylene Dispersions on Mechanical, Abrasive, and Erosive Wear Performance of Thermal Spray Coatings

John V. Christy, Abdel-Hamid I. Mourad, Sudhir Tiwari & Muhammad M. Sherif*

This paper examines the mechanical, abrasive and erosive wear properties of a thermal spray enhanced with randomly dispersed solid lubricants. Two different solid lubricants including graphite and polytetrafluoroethylene (PTFE) were mixed with a NiAl2O3 thermal spray to develop a stable thermal coating. The solid lubricants increased the wear resistance of the coating upon the erosion of the spray cover due to the friction of the mating surfaces. The wear and abrasive resistance were investigated by applying the developed thermal coating to a substrate manufactured by Bakelite. The maximum erosion rate was observed upon blasting abrasive Al2O3 powder at 30-degree angle and at an elevated temperature of 160°C. Spray coating with graphite illustrated a stronger surface adhesion and consisted of a superior hardness strength. A sliding steel indenter of 3 mm diameter and a 9 mm stroke length with speeds ranging between 20 to 70 cycles per minute was used to investigate the abrasion rate of… Details
13 12/1/2020
SCImago Journal & Country Rank Thermomechanical and electrical response of a superelastic NiTi shape memory alloy cable

Muhammad M. Sherif* & Osman E. Ozbulut

Superelastic shape memory alloys are a unique class of smart materials that can recover up to 6% strains. Due to their appealing properties such as high energy dissipation and corrosion resistance, several researchers have assessed the use of such materials in numerous applications ranging from biomedical to civil engineering. This article investigates the thermomechanical and electrical response of a NiTi shape memory alloy cable with a complex configuration subjected to cyclic loading of various strain amplitudes ranging from 3% to 7%. The cable consists of several multi-layered strands with a cumulative outer diameter of 5.5?mm. The thermomechanical results indicate a good correlation of the change in cable temperature with the applied strains and maximum stresses. The temperature history can be used to map the degradation pattern of the shape memory alloy cable. In addition, due to the complex geometry of the cable, the global electrical resistance change does not predict the strain/stress… Details
5 7/28/2020
SCImago Journal & Country Rank Experimental Investigation on Buckling and Post-buckling Behavior of Superelastic Shape Memory Alloy Bars

Amedebrhan M. Asfaw, Muhammad M. Sherif*, Guohua Xing & Osman E. Ozbulut

This paper examines the buckling and post-buckling behavior of superelastic shape memory alloy (SMA) bars. A NiTi SMA bar with a diameter of 12 mm was used in all the experimental tests. First, the tensile and compression responses of NiTi bar were characterized under monotonic loading up to failure. A total of 15 specimens with slenderness ratios that range from 25 to 115 were tested to study the critical buckling load and post-buckling behavior of SMA bars. Digital image correlation (DIC) system was implemented to monitor full-field surface displacements. The interaction between material nonlinearity due to phase transformation and geometric nonlinearity was explored. Data obtained from the DIC measurement system were further analyzed to identify the onset of buckling and to extract experimental critical buckling loads. The effect of loading rate on buckling response of SMAs was investigated by conducting additional testing at higher loading rates on the specimens with three selected… Details
7 4/29/2020
SCImago Journal & Country Rank Damage assessment of nanofiller-reinforced woven kevlar KM2plus/Epoxy resin laminated composites

Abdel-Hamid I. Mourad, Amir Hussain Idrisi, Nizar Zaaroura, Muhammad M.Sherif* & Hasan Fouad

The resiliency of advanced laminated nanocomposite materials to mitigate impact load is an essential characteristic for material selection and product design. This paper investigates the effect of nanofillers and its effect on the damage resistance performance of a newly developed woven Kevlar fabric. Three types of nanofillers were investigated: (1) Silicon carbide (SiC), (2) aluminum oxide (Al2O3), and (3) multiwalled carbon nanotube (MWCNT). The nanofillers were dispersed using shear mixing and sonication into the epoxy to reinforce Kevlar fabric. Moreover, the effect of the nanofiller's concentration on the damage resistance performance was analyzed. All specimens had 10 layers of Kevlar fabric (KM2plus) stacked with a 0° angle. To evaluate the damage resistance performance a drop-weight impact test was conducted using a maximum drop height of 100 cm. X-ray diffraction was used to evaluate the level of material damage caused by the impact load. The addition of nanofillers enhanced … Details
25 3/24/2020
SCImago Journal & Country Rank Tensile Properties of Graphene Nanoplatelets/Epoxy Composites Fabricated by Various Dispersion Techniques

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

This study investigates the tensile behavior of ductile and brittle epoxy polymers reinforced by graphene nanoplatelets (GNPs) dispersed by various methodologies. Dispersion of GNPs into the epoxy matrix using sonication or sonication in combination with high shear mixing was investigated. Also, the effectiveness of the dispersion of GNPs into epoxy resin or hardener was assessed. Then, the effect of GNP concentration on the tensile properties of GNP/epoxy composites fabricated by three selected dispersion techniques was explored. A large number of specimens were tested under uniaxial tensile loading and the results were analyzed in terms of tensile strength, fracture elongation, and tensile modulus. Finally, scanning electron microscopy imaging was used to assess the fractured surface of the selected specimens. Results indicate that the addition of GNPs into brittle epoxy does not provide significant improvements in tensile properties. On the other hand, up to 41% increase in tensile … Details
43 7/1/2019
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