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On the implementation of a material point‐based arc‐length method (2024)
Journal Article
Gavin, N., Pretti, G., Coombs, W., Brigham, J., & Augarde, C. (2024). On the implementation of a material point‐based arc‐length method. International Journal for Numerical Methods in Engineering, 125(9), Article e7438. https://doi.org/10.1002/nme.7438

Summary: The material point method is a versatile technique which can be used to solve various types of solid mechanics problems, especially those involving large deformations. However, the capability of the material point method to track a load‐disp... Read More about On the implementation of a material point‐based arc‐length method.

Design, prototyping, and evaluation of a concept for a shape-changing smart material building surface tile (2020)
Journal Article
Zupan, R. J., Clifford, D. T., Beblo, R. V., & Brigham, J. C. (2020). Design, prototyping, and evaluation of a concept for a shape-changing smart material building surface tile. Smart Materials and Structures, 29(11), Article 115052. https://doi.org/10.1088/1361-665x/abb987

A design concept for shape-changing smart material tiles for applications in environmentally responsive building facades is presented. In particular, the application considered is a tile that would change the shape of the building surface to favorabl... Read More about Design, prototyping, and evaluation of a concept for a shape-changing smart material building surface tile.

Efficient Global Sensitivity Analysis of Structural Vibration for a Nuclear Reactor System Subject to Nonstationary Loading (2020)
Journal Article
Banyay, G. A., Shields, M. D., & Brigham, J. C. (2020). Efficient Global Sensitivity Analysis of Structural Vibration for a Nuclear Reactor System Subject to Nonstationary Loading. Nuclear Engineering and Design, 361, https://doi.org/10.1016/j.nucengdes.2020.110544

The structures associated with the nuclear steam supply system (NSSS) of a pressurized water reactor (PWR) include significant epistemic and aleatory uncertainties in the physical parameters, while also being subject to various non-stationary stochas... Read More about Efficient Global Sensitivity Analysis of Structural Vibration for a Nuclear Reactor System Subject to Nonstationary Loading.

Computational Design Optimization of a Smart Material Shape Changing Building Skin Tile (2019)
Journal Article
Zupan, R. J., Xu, J., Beblo, R. V., Clifford, D. T., Aggarwal, A., & Brigham, J. C. (2019). Computational Design Optimization of a Smart Material Shape Changing Building Skin Tile. Engineering Structures, 201, Article 109839. https://doi.org/10.1016/j.engstruct.2019.109839

The development and evaluation of a computational approach for optimal design of a smart material shape changing building skin is presented and numerically evaluated. Specifically, a unique shape-based approach is utilized to create an optimization a... Read More about Computational Design Optimization of a Smart Material Shape Changing Building Skin Tile.

Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning (2019)
Journal Article
Liu, B., Brigham, J. C., He, J., Yuan, X., & Hu, H. (2019). Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning. Engineering Research Express, 1(2), Article 025018. https://doi.org/10.1088/2631-8695/ab4af0

An end-to-end machine learning approach for classifying rolling contact fatigue (RCF) defects utilizing defect images is presented and evaluated. The core component of this approach is the use of a fine-tuned AlexNet architecture (FT-AlexNet), which... Read More about Roll Contact Fatigue Defect Recognition using Computer Vision and Deep Convolutional Neural Networks with Transfer Learning.

Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates (2018)
Journal Article
Banyay, G. A., Shields, M. D., & Brigham, J. C. (2019). Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates. Nuclear Engineering and Design, 341, 1-15. https://doi.org/10.1016/j.nucengdes.2018.10.013

In this work, surrogate modeling is used to support a global sensitivity analysis (GSA) for a nuclear reactor assembly as a proof-of-concept to demonstrate both the pertinence of such methods to this application as well as the significant physical in... Read More about Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates.

Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks (2018)
Journal Article
Brigham, K., Gupta, S., & Brigham, J. C. (2018). Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks. International Journal for Numerical Methods in Biomedical Engineering, 34(8), Article e3094. https://doi.org/10.1002/cnm.3094

Infants born prematurely are particularly susceptible to respiratory illness due to underdeveloped lungs, which can often result in fatality. Preterm infants in acute stages of respiratory illness typically require mechanical ventilation assistance,... Read More about Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks.

Numerical Investigation of Capabilities for Dynamic Self-Shading through Shape Changing Building Surface Tiles (2018)
Journal Article
Zupan, R., Clifford, D., Beblo, R., & Brigham, J. (2018). Numerical Investigation of Capabilities for Dynamic Self-Shading through Shape Changing Building Surface Tiles. Journal of Facade Design and Engineering, 6(1), https://doi.org/10.7480/jfde.2018.1.1781

A concept for a smart material morphing building surface tile that would utilize adaptive surface wrinkle patterns to improve solar interaction is explored. The effect of the wrinkle patterns is numerically investigated in the context of an objective... Read More about Numerical Investigation of Capabilities for Dynamic Self-Shading through Shape Changing Building Surface Tiles.

Numerical Investigation of the Accuracy, Stability, and Efficiency of Lattice Boltzmann Methods in Simulating Non-Newtonian Flow (2018)
Journal Article
Grasinger, M., Overacker, S., & Brigham, J. (2018). Numerical Investigation of the Accuracy, Stability, and Efficiency of Lattice Boltzmann Methods in Simulating Non-Newtonian Flow. Computers and Fluids, 166, 253-274. https://doi.org/10.1016/j.compfluid.2018.02.008

The Lattice Boltzmann method (LBM) is a numerical method based on computational statistical mechanics that is well-suited for approximating complex flow behaviors such as non-Newtonian, free surface, and multiphase multicomponent flow. LBM is typical... Read More about Numerical Investigation of the Accuracy, Stability, and Efficiency of Lattice Boltzmann Methods in Simulating Non-Newtonian Flow.

Statistical Model for Detecting Voids for Curled or Warped Concrete Pavements (2017)
Journal Article
Alland, K., Vandenbossche, J. M., & Brigham, J. C. (2017). Statistical Model for Detecting Voids for Curled or Warped Concrete Pavements. Transportation Research Record, 2639, 28-38. https://doi.org/10.3141/2639-04

A statistical classifier is developed to interpret Falling Weight Deflectometer (FWD) data for the detection of voids under jointed concrete pavement slabs. The classifier is trained using the Seasonal Monitoring Program (SMP) sections in the Long Te... Read More about Statistical Model for Detecting Voids for Curled or Warped Concrete Pavements.

A generalized computationally efficient inverse characterization approach combining direct inversion solution initialization with gradient-based optimization (2016)
Journal Article
Wang, M., & Brigham, J. C. (2017). A generalized computationally efficient inverse characterization approach combining direct inversion solution initialization with gradient-based optimization. Computational Mechanics, 59(3), 507-521. https://doi.org/10.1007/s00466-016-1362-3

A computationally efficient gradient-based optimization approach for inverse material characterization from incomplete system response measurements that can utilize a generally applicable parameterization (e.g., finite element-type parameterization)... Read More about A generalized computationally efficient inverse characterization approach combining direct inversion solution initialization with gradient-based optimization.

Fatigue Behavior of Reinforced Concrete Beams Strengthened with Externally Bonded Prestressed CFRP Sheets (2016)
Journal Article
Huang, H., Wang, W., Dai, J., & Brigham, J. C. (2017). Fatigue Behavior of Reinforced Concrete Beams Strengthened with Externally Bonded Prestressed CFRP Sheets. Journal of Composites for Construction, 21(3), Article 04016108. https://doi.org/10.1061/%28asce%29cc.1943-5614.0000766

An experimental study was conducted to investigate the fatigue behavior of RC beams strengthened with posttensioned prestressed carbon fiber-reinforced polymer (CFRP) sheets. The experimental program consisted of nine rectangular-section simply suppo... Read More about Fatigue Behavior of Reinforced Concrete Beams Strengthened with Externally Bonded Prestressed CFRP Sheets.

Adaptive Reduced-Basis Generation for Reduced-Order Modeling for the Solution of Stochastic Nondestructive Evaluation Problems (2016)
Journal Article
Notghi, B., Ahmadpoor, M., & Brigham, J. C. (2016). Adaptive Reduced-Basis Generation for Reduced-Order Modeling for the Solution of Stochastic Nondestructive Evaluation Problems. Computer Methods in Applied Mechanics and Engineering, 310, 172-188. https://doi.org/10.1016/j.cma.2016.06.024

A novel algorithm for creating a computationally efficient approximation of a system response that is defined by a boundary value problem is presented. More specifically, the approach presented is focused on substantially reducing the computational e... Read More about Adaptive Reduced-Basis Generation for Reduced-Order Modeling for the Solution of Stochastic Nondestructive Evaluation Problems.

Mapped Chebyshev pseudo-spectral method for simulating the shear wave propagation in the plane of symmetry of a transversely isotropic viscoelastic medium (2016)
Journal Article
Qiang, B., Brigham, J. C., McGough, R., Greenleaf, J. F., & Urban, M. W. (2017). Mapped Chebyshev pseudo-spectral method for simulating the shear wave propagation in the plane of symmetry of a transversely isotropic viscoelastic medium. Medical and Biological Engineering and Computing, 55(3), 389-401. https://doi.org/10.1007/s11517-016-1522-9

Shear wave elastography is a versatile technique that is being applied to many organs. However, in tissues that exhibit anisotropic material properties, special care must be taken to estimate shear wave propagation accurately and efficiently. A two-d... Read More about Mapped Chebyshev pseudo-spectral method for simulating the shear wave propagation in the plane of symmetry of a transversely isotropic viscoelastic medium.

Flexural Behaviour of Reinforced Concrete Beams Strengthened with a Composite Reinforcement Layer: BFRP Grid and ECC (2016)
Journal Article
Zheng, Y., Wang, W., & Brigham, J. C. (2016). Flexural Behaviour of Reinforced Concrete Beams Strengthened with a Composite Reinforcement Layer: BFRP Grid and ECC. Construction and Building Materials, 115, 424-437. https://doi.org/10.1016/j.conbuildmat.2016.04.038

In this paper, a new strengthening technique for reinforced concrete (RC) beams is proposed by combining Basalt fiber Reinforced Polymer (BFRP) grid and Engineered Cementitious Composites (ECC) as a composite reinforcement layer (CRL). Five RC beams... Read More about Flexural Behaviour of Reinforced Concrete Beams Strengthened with a Composite Reinforcement Layer: BFRP Grid and ECC.

Modeling transversely isotropic, viscoelastic, incompressible tissue-like materials with application in ultrasound shear wave elastography (2015)
Journal Article
Qiang, B., Brigham, J. C., Aristizabal, S., Greenleaf, J. F., Zhang, X., & Urban, M. W. (2015). Modeling transversely isotropic, viscoelastic, incompressible tissue-like materials with application in ultrasound shear wave elastography. Physics in Medicine & Biology, 60(3), 1289-1306. https://doi.org/10.1088/0031-9155/60/3/1289

In this paper, we propose a method to model the shear wave propagation in transversely isotropic, viscoelastic and incompressible media. The targeted application is ultrasound-based shear wave elastography for viscoelasticity measurements in anisotro... Read More about Modeling transversely isotropic, viscoelastic, incompressible tissue-like materials with application in ultrasound shear wave elastography.

A Comparative Analysis of Global Shape Analysis Methods for the Assessment of the Human Right Ventricle (2014)
Journal Article
Wu, J., Simon, M. A., & Brigham, J. C. (2016). A Comparative Analysis of Global Shape Analysis Methods for the Assessment of the Human Right Ventricle. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 4(6), 327-343. https://doi.org/10.1080/21681163.2014.941442

Two contemporary statistical shape analysis workflows are presented and compared with respect to analysis of the human right ventricle (RV). The methods examined include an approach that directly applies proper orthogonal decomposition to harmonicall... Read More about A Comparative Analysis of Global Shape Analysis Methods for the Assessment of the Human Right Ventricle.