Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kevin Hoos is active.

Publication


Featured researches published by Kevin Hoos.


Journal of Composite Materials | 2017

Static strength prediction in laminated composites by using discrete damage modeling

Kevin Hoos; Endel V Iarve; Michael Braginsky; Eric Zhou; David Mollenhauer

Discrete Damage Modeling of complex local failure patterns in laminated composites including matrix cracking, delamination, and fiber failure was performed. Discrete Damage Modeling uses the Regularized eXtended Finite Element Method for the simulation of matrix cracking at initially unknown locations and directions independent of the mesh orientation. Cohesive interface model is used both for Mesh Independent Cracking as well as delamination propagation. The fiber failure mode is modeled by two different methods in tension and compression. Tensile failure is predicted by Critical Failure Volume criterion, which takes into account volumetric scaling of tensile strength. Compression fiber failure is simulated with a single parameter continuum damage mechanics model with non-compressibility condition in the failed region. Ply level characterization input data were used for prediction of notched and unnotched laminate strength. All input data required for model application is directly measured by ASTM tests except tensile fiber scaling parameter and compression fiber failure fracture toughness, which were taken from literature sources. The model contains no internal calibration parameters. Tensile and compressive strength of unnotched and open hole composite laminates IM7/977-3 has been predicted and compared with experimental data. Three different layups, [0/45/90/−45]2S, [30/60/90/−60/−30]2S, and the [60/0/−60]3S, were modeled and tested and showed good agreement with experiment in the case of tensile loading, whereas the compressive strength was generally under predicted for unnotched laminates and overpredicted for open hole laminates.


53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA | 2012

Simulation of Mode I Fracture at the Micro-Level in Polymer Matrix Composite Laminate Plies

David Mollenhauer; Timothy Breitzman; Wright Patterson Afb; Endel V. Iarve; Kevin Hoos; Michael J. Swindeman; Eric Zhou

A technique for simulating evolving matrix damage through a polymer matrix composite ply was developed. This method simulates disbonding between fiber and matrix and cracking within the matrix at the micro-scale. The aim of the study is to develop a methodology whereby the mode I traction-separation law (cohesive zone) for a given lamina could be obtained by simulation only using the fiber and matrix constituent properties as inputs. The results obtained with randomly spaced fibers representing approximately 1/3 of a ply thickness are encouraging.


53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA | 2012

Mesh dependence of the discrete damage modeling in laminated composites

Endel V. Iarve; Michael J. Swindeman; Kevin Hoos; David Mollenhauer; Stephen R Hallett

The present paper addresses the issue of direct simulation of complex local failure patterns in laminated composites including matrix cracking, delamination, and fiber failure. The analytical technique uses the Regularized eXtended Finite Element Method (Rx-FEM) for the simulation of matrix crack initiation and propagation at initially unknown locations; cohesive interface model for delamination and continuum damage mechanics model for fiber failure. An important feature of the technique is that it uses independently measured standard ply-level mechanical properties of the unidirectional composite (stiffness, strength, fracture toughness). Failure simulations of composites containing open holes are presented. Mesh and parameter sensitivity of the strength values is investigated.


Composites Part A-applied Science and Manufacturing | 2012

Simulation of discrete damage in composite Overheight Compact Tension specimens

David Mollenhauer; Logan Ward; Endel V. Iarve; Sirina Putthanarat; Kevin Hoos; Stephen R Hallett; Xiangqian Li


57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference | 2016

Progressive Failure Simulation in Laminated Composites under Fatigue Loading by Using Discrete Damage Modeling

Kevin Hoos; Endel V. Iarve; Michael Braginsky; Eric Zhou; David Mollenhauer


56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference | 2015

Tensile and Compression Strength Prediction in Laminated Composites by Using Discrete Damage Modeling

Endel V. Iarve; Kevin Hoos; Michael Braginsky; Eric Zhou; David Mollenhauer


Proceedings of the American Society for Composites: Thirty-First Technical Conference | 2016

Damage Initiation and Propagation Modeling in Laminated Composites under Fatigue Loading

Endel V. Iarve; Kevin Hoos; David Mollenhauer


Proceedings of the American Society for Composites — Thirty-second Technical Conference | 2017

Discrete Damage Modelling of Delamination Migration in Clamped Tapered Laminated Beam Specimens

Hari K. Adluru; Kevin Hoos; Endel V. Iarve


DURACOSYS | 2016

7. Computational Analysis for Durability of Laminated Composite Structures (Abstract only)

Endel V. Iarve; Kevin Hoos; David Mollenhauer


American Society of Composites - 30th Technical Conference | 2015

Experimental and Theoretical Investigation of Discrete Damage and Residual Strength Prediction in Fatigue-Loaded CFRP Speciemns

Kevin Hoos; Endel V. Iarve; Michael Braginsky; Eric Zhou; David Mollenhauer

Collaboration


Dive into the Kevin Hoos's collaboration.

Top Co-Authors

Avatar

David Mollenhauer

United States Department of Defense

View shared research outputs
Top Co-Authors

Avatar

Endel V. Iarve

University of Dayton Research Institute

View shared research outputs
Top Co-Authors

Avatar

Eric Zhou

University of Dayton Research Institute

View shared research outputs
Top Co-Authors

Avatar

Michael Braginsky

University of Dayton Research Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Logan Ward

Air Force Research Laboratory

View shared research outputs
Top Co-Authors

Avatar

Michael J. Swindeman

University of Dayton Research Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Endel V Iarve

University of Texas at Arlington

View shared research outputs
Top Co-Authors

Avatar

Sirina Putthanarat

University of Dayton Research Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge