Rashid Abu Al-Rub

Masdar Institute of Science and Technology, Mechanical Engineering, Faculty Member

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Professor Abu Al-Rub is currently an Associate Professor of Mechanical Engineering at Masdar Institute of Science and Technology. He has been an Assistant Professor at Texas A&M University with joint appointments with the Civil Engineering Department, the Materials Science and Engineering Department, Mechanical Engineering Department, and the Texas Transportation Institute since 2007. Currently, he is also an Adjunct Professor in the Department of Aeronautics and Astronautics at Air Force Institute of Technology of Wright-Patterson Air Force Base, Ohio, USA. He received his Ph.D. in Civil Engineering from Louisiana State University in 2004, and his MS in 2001 and BS in 1999 in Civil Engineering from Jordan University of Science and Technology. Before joining Texas A&M University, he was a Visiting Assistant Professor at Louisiana State University and an Assistant Professor at Catholic University of America.

Professor Abu Al-Rub primary research field of interest is on the development of macro/micro/nano-mechanics-based constitutive models and computational tools that can be used effectively in guiding the design of advanced materials and structural systems. He is the director of the SMART MASDAR Laboratory (Sustainable Materials for Advanced and Revolutionary Technologies at Masdar). The focus of SMART MASDAR is on the development and deployment of multifunctional and smart materials that will lead to superior and sustainable structural and infrastructural systems, energy conversion-storage-harvesting devices, and water desalination and purification technologies. Professor Abu Al-Rub has published one book and over 200 publications in archival journals, book chapters, and conference proceedings. He has served as the principle/co-principal investigator of more than 20 projects sponsored by various state, federal, and international agencies; he is responsible for more than $8Million. In 2007, he has been selected among nine leading scientists in the US by National Science Foundation and Department of Energy to design new grades of advanced high strength steels for the auto industry. He is one of the members of the US National Science Foundation supported “International Institute for Multifunctional Materials for Energy Conversion.”

Professor Abu Al-Rub is a member of the American Society of Civil Engineers (ASCE), the American Society of Mechanical Engineers (ASME), the American Institute of Aeronautics and Astronautics (AIAA), Society of Engineering Science (SES), the U.S. Association for Computational Mechanics, ASCE Engineering Mechanics Institute, and the American Society for Engineering Education (ASEE). He has twice been recognized by The Texas A&M University System with its Student-Led Teaching Excellence Award, in 2009 and 2011. In 2010 he received the Truman R. Jones Excellence in Graduate Teaching Award and the Tenneco Oil Exploration & Production Award for Meritorious Teaching of Engineering Award from the Dwight Look College of Engineering at Texas A&M University. He is also the recipient of the 2005 Achievement Award for the outstanding teaching at Louisiana State University. In 2011, he received the Ferdinand P. Beer and E. Russell Johnston Jr. Outstanding New Mechanics Educator Award from the American Society for Engineering Education. He has been recognized several times for his work on multi-scale computational mechanics. Recently, Professor Abu Al-Rub has been selected among the Scholar Google 100 Most Cited Authors in Civil Engineering. He is on the editorial board of several journals in the area of multi-scale computational mechanics.

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Papers by Rashid Abu Al-Rub

A deep learning energy method for hyperelasticity and viscoelasticity

European Journal of Mechanics - A/Solids

The potential energy formulation and deep learning are merged to solve partial differential equat... more The potential energy formulation and deep learning are merged to solve partial differential equations governing the deformation in hyperelastic and viscoelastic materials. The presented deep energy method (DEM) is self-contained and meshfree. It can accurately capture the three-dimensional (3D) mechanical response without requiring any time-consuming training data generation by classical numerical methods such as the finite element method. Once the model is appropriately trained, the response can be attained almost instantly at any point in the physical domain, given its spatial coordinates. Therefore, the deep energy method is potentially a promising standalone method for solving partial differential equations describing the mechanical deformation of materials or structural systems and other physical phenomena.

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Thermal characterization of 3D-Printed lattices based on triply periodic minimal surfaces embedded with organic phase change material

Case Studies in Thermal Engineering

MSLattice: A free software for generating uniform and graded lattices based on triply periodic minimal surfaces

Material Design & Processing Communications

$Research paper thumbnail of Experimental hydraulic fracturing of Berea sandstone under triaxial stress state$

Experimental hydraulic fracturing of Berea sandstone under triaxial stress state

E3S Web of Conferences

In this work, a newly designed experimental setup is used to perform in-lab fracking under contro... more In this work, a newly designed experimental setup is used to perform in-lab fracking under controlled triaxial loading on cylindrical cores of Berea sandstone. Fracking tests are conducted at 10 MPa confining pressure, with vertical compressive loading, as well as two horizontal stresses that simulate reservoir triaxial stress state. Multiple injection scenarios are tested to investigate the effect of the pore fluid injection conditions on the fracking and failure mechanisms. In-situ micro-seismic monitoring via eight acoustic emissions sensors is used for logging the fracking events evolution with time. Post-experimental characterization included computational tomography (CT) scanning to characterize the resulting fracture patterns.

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The Impact of Critical Operational Parameters on the Performance of the Aluminum Anode Baking Furnace

Journal of Energy Resources Technology

Minimizing energy consumption and reducing pollutant emissions during the carbon anode baking pro... more Minimizing energy consumption and reducing pollutant emissions during the carbon anode baking process are critically important for the aluminum industry. The present study investigates the effects of oxidizer inlet temperature, inlet oxygen concentration, equivalence ratio, refractory wall thermal conductivity, and refractory wall emissivity on the baking process using unsteady Reynolds-averaged Navier–Stokes (URANS)-based simulations in conjunction with the presumed probability density function method. Numerical results are combined with a response surface methodology (RSM) to optimize the anode baking process. The advantage of the coupled method is that it can adequately provide information on interactions of different input parameters. It is remarked that the significance level of the studied parameters varies drastically for different outputs. It is noted that diluting inlet oxygen concentration (from 23% in atmospheric air to 15%) at an elevated oxidizer temperature leads to en...

Forced Convection Computational Fluid Dynamics Analysis of Architected and Three-Dimensional Printable Heat Sinks Based on Triply Periodic Minimal Surfaces

Journal of Thermal Science and Engineering Applications

The drive for small and compact electronic components with higher processing capabilities is limi... more The drive for small and compact electronic components with higher processing capabilities is limited by their ability to dissipate the associated heat generated during operations, and hence, more advanced heat sink designs are required. Recently, the emergence of additive manufacturing techniques facilitated the fabrication of complex structures and overcame the limitation of traditional techniques such as milling, drilling, and casting. Therefore, complex heat sink designs are now easily realizable. In this study, we propose a design procedure for mathematically realizable architected heat sinks and investigate their performance using the computational fluid dynamics (CFD) approach. The proposed heat sinks are mathematically designed with topologies based on triply periodic minimal surfaces (TPMSs). Three-dimensional CFD models are developed using the starccm+ platform for uniform heat sinks and topologically graded heat sinks to study the heat transfer performance in forced convec...

Highly electrically conductive carbon nanostructured mats fabricated out of aligned CNTs-based flakes

Diamond and Related Materials

3D Multiphysics model of the effect of flue-wall deformation on the anode baking homogeneity in horizontal flue carbon furnace

Energy Procedia

Multifunctional mechanical‐metamaterials based on triply periodic minimal surface lattices: A review

Advanced Engineering Materials

Investigation of Magnetic Properties of γ-Fe2O3 NP-Decorated Carbon Nanostructured Mats

JOM

Additive manufacturing of architected catalytic ceramic substrates based on triply periodic minimal surfaces

Journal of the American Ceramic Society

Mechanical Response of 3D Printed Bending-Dominated Ligament-Based Triply Periodic Cellular Polymeric Solids

Journal of Materials Engineering and Performance

Multi-objective Optimization of Aluminum Anode Baking Process Employing a Response Surface Methodology

Energy Procedia

Nature-Inspired Lightweight Cellular Co-Continuous Composites with Architected Periodic Gyroidal Structures

Advanced Engineering Materials

Microarchitected Stretching-Dominated Mechanical Metamaterials with Minimal Surface Topologies

Advanced Engineering Materials

Effect of Nanotube Geometry on the Strength and Dispersion of CNT-Cement Composites

Journal of Nanomaterials

This study investigated the effect of multiwalled carbon nanotubes’ geometry on the dispersion an... more This study investigated the effect of multiwalled carbon nanotubes’ geometry on the dispersion and strength of cement composites. Mixes with CNTs contents ranging from 0.03 to 0.25% were prepared and tested using CNTs’ diameters of 10–20, 20–30, and 30–50 nm and lengths of 0.5–2 and 10–30 μm. The samples’ microstructures were then examined using a scanning electron microscope. After that, Response Surface Methodologies techniques were implemented to determine the strength functions’ response to the aspect ratio and weight fraction variables. The results showed that CNTs of smaller diameters and longer lengths resulted in the highest strength values in batches having CNT contents of up to 0.15%. At 0.25% CNTs, the results showed that those CNTs of shorter lengths attained higher strengths than those of longer ones. SEM images showed better dispersion properties at lower CNTs’ contents regardless of their geometry. The analysis also indicated that short CNTs of 0.5–2 μm length have be...

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Finite element simulation of single carbon nanotube pull-outs from a cementitious nanocomposite material using an elastic-plastic-damage and cohesive surface models

International Journal of Theoretical and Applied Multiscale Mechanics, 2014

ABSTRACT Carbon nanotubes (CNTs) have recently been integrated in the most widely used material i... more ABSTRACT Carbon nanotubes (CNTs) have recently been integrated in the most widely used material in the world concrete for improving its mechanical properties and fracture resistance. However, such integration has led to marginal improvements due to the lack of fundamental understanding of the key factors that control the dispersions and interfacial bond of CNTs within the cement matrix. The main focus of this paper is on investigating computationally the pull-out behavior of a single CNT from the cement matrix in order to understand the role of the CNT/matrix bond. The effects of: (1) CNT-cement interfacial shear strength, stiffness, and fracture energy; (2) the mechanical properties of the cement; and (3) CNTs mechanical properties, aspect ratio, and surface area to volume ratio on the pull-out strength from a cement matrix are investigated through simulating the single straight CNT pull-out. A coupled elastic-plastic-damage constitutive model is adopted to simulate the behavior of the cement matrix, whereas the continuum shell model is used to simulate the elastic behavior of CNT. The surface-based cohesive behavior is employed for modeling the interface between CNT and cement matrix. It is shown that the CNT pull-out force is mainly governed by the interfacial fracture energy, and not the interfacial shear strength. It is also shown that the pull-out strength and damage evolution in the cement matrix during the pull-out process are independent of the CNT embedded length, while the final debonding displacement is increased with the increase of the embedded length. Finally, it is shown that the Youngs modulus and surface area to volume ratio of the CNT are other important key parameters that alter the pull-out strength. The findings of this computational study emphasize the role of interfacial fracture energy for enhancing the overall strength and ductility of CNT-cement nanocomposites.

Micromechanical theoretical and computational modeling of energy dissipation due to nonlinear vibration of hard ceramic coatings with microstructural recursive faults

ABSTRACT a b s t r a c t Engine failures due to high-cycle fatigue during severe dynamic vibratio... more ABSTRACT a b s t r a c t Engine failures due to high-cycle fatigue during severe dynamic vibration have cost the US Air Force an estimated $400 million dollars per year over the past two decades. Therefore, structural materials that exhibit high damping capacities are desirable for mechanical vibration suppression and acoustic noise attenuation. Few experimental studies suggested that hard ceramic coatings, which are commonly used as thermal barrier coatings (TBCs) to protect engine components from high temperatures and corrosion, can also serve as passive dampers due to their unique microstructure which consists of several layers of splats with inter-and intra-microstructural recursive faults (micro-cracks). Therefore, the focus of this study is on the development of a fundamental understanding of the unique microstructural features and mechanisms responsible for this observed energy dissipation in ceramic coatings under nonlinear vibration through the development of a micromechanical computational framework. Inter-and intra-fatigue damage and internal friction is simulated through the development of thermodynamic-based nonlinear cohesive laws that consider interfacial degradation, debonding, plastic sliding, and Coulomb/ contact friction between the interfaces of microstructural faults. Representative volume element-based micromechanical simulations are conducted in order to assess the main micromechanical mechanisms responsible for the experimentally observed nonlinear (amplitude-and frequency-dependent) damping in plasma sprayed hard ceramic coatings. It is concluded that the major part of energy dissipation is achieved through contact friction which results from sliding of the splat interfaces along the microstruc-tural recursive faults. Energy dissipation due to progressive decohesion and evolution of new micro-cracks is not that significant as compared to energy dissipated due to increased friction from existing and new created faults. Therefore, internal friction is the main mechanism that makes TBCs effective dampers.

Mechanical properties of 3D printed polymeric Gyroid cellular structures: Experimental and finite element study

by Diab Abueidda, Rashid Abu Al-Rub, and Iwona Jasiuk

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Mechanical properties of 3D printed polymeric cellular materials with triply periodic minimal surface architectures

by Diab Abueidda, Rashid Abu Al-Rub, and Nahil Sobh

• Triply periodic minimal surfaces (TPMS) are utilized to create new cellular materials (CMs). • ... more • Triply periodic minimal surfaces (TPMS) are utilized to create new cellular materials (CMs). • The modulus and strength of three types of TPMS-CMs are found experimentally and computationally. • Post-yielding behavior of the three TPMS-CMs is reported and discussed. • Failure (buckling vs. yielding) maps are reported. In this paper, three types of triply periodic minimal surfaces (TPMS) are utilized to create novel polymeric cellular materials (CM). The TPMS architectures considered are Schwarz Primitive, Schoen IWP, and Neovius. This work investigates experimentally and computationally mechanical properties of these three TPMS-CMs. 3D printing is used to fabricate these polymeric cellular materials and their base material. Their properties are tested to provide inputs and serve as validation for finite element modeling. Two finite deformation elastic/hyperelastic-viscoplastic constitutive models calibrated based on the mechanical response of the base material are used in the computational study of the TPMS-CMs. It is shown that the specimen size of the TPMS-CMs affect their mechanical properties. Moreover, the finite element results agree with the results obtained experimentally. The Neovius-CM and IWP-CM have a similar mechanical response, and it is found that they have higher stiffness and strength than the Primitive-CM.

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A deep learning energy method for hyperelasticity and viscoelasticity

European Journal of Mechanics - A/Solids

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Thermal characterization of 3D-Printed lattices based on triply periodic minimal surfaces embedded with organic phase change material

Case Studies in Thermal Engineering