Browsing Institute for Predictive Performance Methodologies ( IPPM-UTARI ) by Title

Now showing items 34-48 of 48

    • Mechanical and Dielectric Modeling of Adhesive Bonded Fiber Reinforced Composite Single Lap Joints 

      Rahman, Minhazur; Vadlamudi, Vamsee; Raihan, Rassel (Proceedings of The American Society for Composites-Thirty-seventh Technical Conference, 2022)
      **Please note that the full text is embargoed** ABSTRACT: Fiber Reinforced Polymer (FRP) composites have long since been dominating the structural materials industry due to its superior specific strength and its ability ...

    • Modeling Complex Sub-elements by using Discrete Damage Modeling 

      Hoos, Kevin H.; McQuien, J. Scott; Adluru, Hari K.; Schaefer, Joseph D.; Gu, Haozhong; Iarve, Endel V. (University of Texas at Arlington Libraries, 2019-09)
      **Please note that the full text is embargoed** ABSTRACT: Discrete Damage Modeling is applied to complex sub-elements loaded in static and fatigue. Layered 8-node brick elements called LC3D8 elements were implemented for ...

    • Moisture Content Prediction in Polymer Composites Using Machine Learning Techniques 

      Das, Partha Pratim; Rabby, Monjur Morshed; Vadlamudi, Vamsee; Raihan, Rassel (MDPI, 2022)
      **Please note that the full text is embargoed** ABSTRACT: The principal objective of this study is to employ non-destructive broadband dielectric spectroscopy/impedance spectroscopy and machine learning techniques to ...

    • Molecular Dynamics for the Prediction of the Interfacial Shear Stress and Interface Dielectric Properties of Carbon Fiber Epoxy Composites 

      Chahal, Rajni; Adnan, Ashfaq; Reifsnider, Kenneth; Raihan, Rassel; Ting Wu, Yuan; Vadlamudi, Vamsee; Elenchezhian, Muthu Ram Prabhu (Proceedings of the American Society for Composites—Thirty-third Technical Conference, 2018)
      **Please note that the full text is embargoed** ABSTRACT: The thermoset epoxy resin Diglycidyl ether of Bisphenol F (EPON 862), crosslinked with the Diethylene Toluene Diamine (DETDA) hardening agent, are utilized as the ...

    • Ordinary Differential Equations with Machine Learning for Prediction of Smart Composite Fracture Toughness 

      Qhobosheane, Relebohile George; Elenchezhian, Muthu Ram Prabhu; Vadlamudi, Vamsee; Reifsnider, Kenneth; Raihan, Rassel (American Society for CompositesDEStech Publications, Inc., 2021)
      **Please note that the full text is embargoed** ABSTRACT: This work in on the development of an ordinary differential equation (ODE) model coupled with statistical methods for the prediction of fracture toughness of a ...

    • Performance and Strength Prediction of Composite Materials Based On Dielectric Property Investigation 

      Raihan, Rassel; Vadlamudi, Vamsee; Rabbi, Fazle; Reifsnider, Kenneth (Society of the Advancement of Material and Process Engineering (SAMPE)University of Texas at Arlington Research Institute (UTARI), University of Texas at Arlington, 2016)
      Composite materials have significant advantages over more traditional materials and now these material systems are widely used in many advance application, i.e., aerospace, microelectronics, energy storage. In the last few ...

    • Performance Enhancement and Prediction of Composite Materials with Embedded Electrospun Piezoelectric Sensors 

      Mazed, Rahman Jani; Elenchezhian, Muthu Ram Prabhu; Vadlamudi, Vamsee; Ahmed, Md Riaz Uddin; Raihan, Rassel; Reifsnider, Kenneth (Society of the Advancement of Material and Process Engineering (SAMPE), 2020)
      **Please note that the full text is embargoed** ABSTRACT: In today’s world, continuous fiber reinforced composite materials are extensively used in the aerospace, automotive and other structural industries. Since the ...

    • Predicting Adhesive Bond Performance Based on Initial Dielectric Properties 

      Banerjee, Priyanshu Kumar; Elenchezhian, Muthu Ram Prabhu; Vadlamudi, Vamsee; Raihan, Rassel; Reifsnider, Kenneth (American Society for CompositesDEStech Publications, Inc.University of Texas at Arlington Research Institute (UTARI), University of Texas at Arlington, 2017-10)
      This paper will focus on an approach to study the mechanical as well as the dielectric properties of an adhesive bond. The dielectric testing is done by using Broadband Dielectric Spectroscopy (BbDS), wherein the dielectric ...

    • Quality Assessment of Adhesive Bond Based On Dielectric Properties 

      Elenchezhian, Muthu Ram Prabhu; Vadlamudi, Vamsee; Banerjee, Priyanshu Kumar; Dave, Chaitanya; Mahmood, Anik; Raihan, Rassel; Reifsnider, Kenneth (Society of the Advancement of Material and Process Engineering (SAMPE)University of Texas at Arlington Research Institute (UTARI), University of Texas at Arlington, 2017)
      Composite materials are widely used in Aerospace, Marine and Automotive structures to reduce weight and increase performance. Adhesive bonding improves the stress distribution between the composite materials / dissimilar ...

    • State Variable Methods of Assessment, Prognosis, and Control of Composite and Bonded Structures 

      Reifsnider, Kenneth; Raihan, Rassel; Vadlamudi, Vamsee; Elenchezhian, Muthu Ram Prabhu (Proceedings of the American Society for Composites—Thirty-third Technical Conference, 2018)
      **Please note that the full text is embargoed** ABSTRACT: It is generally recognized that the determination of material state is the baseline foundation for the assessment and prognosis of current and future performance ...

    • Stiffness Degradation in Fatigue Life of Composites using Dielectric State Variables 

      Elenchezhian, Muthu Ram Prabhu; Das, Partha Pratim; Rahman, Minhazur; Vadlamudi, Vamsee; Raihan, Md Rassel; Reifsnider, Kenneth (Elsevier, 2021-10)
      **Please note that the full text is embargoed** ABSTRACT: Composite materials are widely used in aerospace and automotive structures for decades and over the years the community has gained a better understanding of the ...

    • Structural Health Monitoring of Fiber-Reinforced Composite Using Wireless Magnetostrictive Sensors 

      Islam, Sujjatul; Qhobosheane, Relebohile George; Elenchezhian, Muthu Ram Prabhu; Vadlamudi, Vamsee; Raihan, Rassel; Reifsnider, Kenneth; Shen, Wen (Society of the Advancement of Material and Process Engineering (SAMPE), 2019-04-11)
      **Please note that the full text is embargoed** ABSTRACT: Composite materials are extending the horizons of designers in all branches of engineering. These materials have numerous advantages and improved structural properties ...

    • Study of Defect Coalescence in Heterogeneous Material Systems using Broad Band Dielectric Spectroscopy. 

      Vadlamudi, Vamsee; Elenchezhian, Muthu Ram Prabhu; Banerjee, Priyanshu Kumar; Raihan, Rassel; Reifsnider, Kenneth (American Society for CompositesDEStech Publications, Inc.University of Texas at Arlington Research Institute (UTARI), University of Texas at Arlington, 2017-11)
      Composite materials are essential for many modern applications, including airplanes and cars, energy conversion and storage devices, medical prosthetics, and civil structures. Detecting the initiation, growth, accumulation, ...

    • A STUDY OF THE MECHANICAL PERFORMANCE OF A COMPOSITES EMBEDDED WITH NANO-PARTIC 

      Qhobosheane, Relebohile George; Rabby, Monjur Morshed; Durham, Bryan; Vadlamudi, Vamsee; Reifsnider, Kenneth; Raihan, Rassel (2021-06-22)
      **Please note that the full text is embargoed** ABSTRACT: In this research work we characterize the mechanical and curing properties of the developed composites embedded with nano-particles. A composite sample with both ...

    • UNSUPERVISED LEARNING METHODS FOR IDENTIFICATION OF DEFECTS IN HETEROGENEOUS MATERIALS 

      Elenchezhian, Muthu Ram Prabhu; Vadlamudi, Vamsee; Raihan, Rassel; Reifsnider, Kenneth (Proceedings of the American Society for Composites—Thirty-fifth Technical Conference, 2020-09-17)
      **Please note that the full text is embargoed** ABSTRACT: The complexity of composite materials due to the nature of their numerous laminated layers, stacking sequences, type of fibers, resin, and other external factors ...