Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data

Bazilevs, Yuri; Deng, Xiaowei; Korobenko, Artem; Scalea, Francesco Lanza di; Todd, Michael D.; Taylor, Stuart G

doi:10.1115/1.4030795

Cited by 104 publications

(35 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Extension to general hyperelastic material can be found in [4]. The formulation has been successfully used in computation of a good number of challenging problems, including wind-turbine fluid-structure interaction (FSI) [3,[5][6][7][8][9], bioinspired flapping-wing aerodynamics [10], bioprosthetic heart valves [11][12][13][14][15], fatigue and damage [16][17][18][19][20][21], and design [22,23].…”

Section: Introductionmentioning

confidence: 99%

Isogeometric hyperelastic shell analysis with out-of-plane deformation mapping

2018

View full text Add to dashboard Cite

We derive a hyperelastic shell formulation based on the Kirchhoff-Love shell theory and isogeometric discretization, where we take into account the out-of-plane deformation mapping. Accounting for that mapping affects the curvature term. It also affects the accuracy in calculating the deformed-configuration out-of-plane position, and consequently the nonlinear response of the material. In fluid-structure interaction analysis, when the fluid is inside a shell structure, the shell midsurface is what it would know. We also propose, as an alternative, shifting the "midsurface" location in the shell analysis to the inner surface, which is the surface that the fluid should really see. Furthermore, in performing the integrations over the undeformed configuration, we take into account the curvature effects, and consequently integration volume does not change as we shift the "midsurface" location. We present test computations with pressurized cylindrical and spherical shells, with Neo-Hookean and Fung's models, for the compressible-and incompressible-material cases, and for two different locations of the "midsurface." We also present test computation with a pressurized Y-shaped tube, intended to be a simplified artery model and serving as an example of cases with somewhat more complex geometry.Keywords Kirchhoff-Love shell theory · Isogeometric discretization · Hyperelastic material · Out-of-plane deformation mapping · Neo-Hookean material model · Fung's material model · Artery

show abstract

Section: Introductionmentioning

confidence: 99%

Isogeometric hyperelastic shell analysis with out-of-plane deformation mapping

2018

View full text Add to dashboard Cite

show abstract

“…For K. Reifsnider et al [7], the digital twin is "Ultra-high fidelity physical models of the materials and structures that control the life of a vehicle". For Y. Bazilevs et al [8], the digital twin is "High-fidelity structural model that incorporates fatigue damage and presents a fairly complete digital counterpart of the actual structural system of interest". Other definitions and explanations for the digital twin are in [9], [10], [11], [12].…”

Section: Literature Reviewmentioning

confidence: 99%

HospiT'Win: A Predictive Simulation-Based Digital Twin for Patients Pathways in Hospital

Karakra

Fontanili

Lamine

et al. 2019

2019 IEEE EMBS International Conference on Biomedical &Amp; Health Informatics (BHI)

View full text Add to dashboard Cite

Hospitals are starting to move away from traditional based-systems to the information technology based-systems. Today, Internet of Things (IoT), Body Sensor Network (BSN), Modeling, Simulation, and Artificial Intelligence (AI) are core technology elements that will be used in hospital of the future to improve the quality of patient care. Collecting the patient's data and monitoring their states and behavior became mandatory to improve their care. This paper proposes a novel framework for supporting the hospital of the future named HospiT'Win. This framework uses the core technology elements mentioned above to create a digital twin, that is a virtual replica of the hospital, allowing the health care providers to trace the patient's pathways data, monitor their behaviors, and predict their near future outcomes. So that, they can provide the right care in a right place, and in a right time. The paper explains in details the main components, the structure, and the way to synchronize the state and the behavior of the digital twin with the patients pathways in the real hospital. In case of unexpected events, HospiT'Win predicts the near future to see their impact on the real hospital. Moreover, it provides the possible solutions to minimize the impact of these events to preserve the quality of health care inside the hospital.Index Terms-Digital Twin, Hospital of the Future, Internet of Things, Modeling, Simulation.

show abstract

“…IGA has also been shown to feature significantly improved per‐degree‐of‐freedom accuracy relative to traditional FEA in many cases. () Past wind turbine and wind turbine blade simulations have employed IGA,() but none of these efforts have utilized IGA for the purposes of iterative blade design. The present framework enables IGA‐based wind turbine blade design through a variety of unique approaches and developments presented herein.…”

Section: Introductionmentioning

confidence: 99%

A framework for isogeometric‐analysis‐based optimization of wind turbine blade structures

2018

View full text Add to dashboard Cite

Early‐stage wind turbine blade design usually relies heavily on low‐fidelity structural models; high‐fidelity, finite‐element‐based structural analyses are reserved for later design stages because of their complex workflows and high computational expense. Yet, high‐fidelity structural analyses often provide design‐governing feedback such as buckling load factors. Mitigation of the issues of workflow complexity and computational expense would allow designers to utilize high‐fidelity feedback earlier, more easily, and more often in the design process. Thus, a blade analysis framework that employs isogeometric analysis (IGA), a simulation method that overcomes many of the aforementioned drawbacks associated with traditional finite element analysis (FEA), is presented. IGA directly utilizes the mathematical models generated by computer‐aided design (CAD) software, requiring less user interaction and no conversion of parametric geometries to finite element meshes. Furthermore, IGA tends to have superior per‐degree‐of‐freedom accuracy compared with traditional FEA. Issues unique to IGA in the context of wind turbine blade design, such as coupling of thin‐shell components, are addressed, and a design approach that combines reduced‐order aeroelastic analysis with IGA is outlined. Aeroelastic analysis is used to efficiently provide dynamic kinematic data for a wide range of wind load cases, while IGA is used to perform buckling analysis. The value of incorporating high‐fidelity analysis feedback into blade design is demonstrated through optimization of the NREL/SNL 5 MW wind turbine blade. A variety of potential designs are produced with reduced blade mass and material cost, and IGA‐based buckling analysis is shown to provide design‐governing constraint information.

show abstract

Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data

Cited by 104 publications

References 38 publications

Isogeometric hyperelastic shell analysis with out-of-plane deformation mapping

Isogeometric hyperelastic shell analysis with out-of-plane deformation mapping

HospiT'Win: A Predictive Simulation-Based Digital Twin for Patients Pathways in Hospital

A framework for isogeometric‐analysis‐based optimization of wind turbine blade structures

Contact Info

Product

Resources

About