Abstract
Aortic stenosis and Regurgitation are the common heart valve diseases that about 20% of the US population get diagnosed with each year. Recent advances in minimally invasive surgical techniques like transcatheter aortic valve replacement (TAVR) have paved the way for high-risk patient treatment with minimal hospital stay and use of anesthetic. While the patient data on prosthetic stent based aortic valve durability from the last decade has instilled confidence, this data is still considered inadequate for large scale adoption of TAVR therapy for low and medium risk patients. As one of the leading failure modes for the Nitinol based prosthetic stents is material fracture due to cycling fatigue, it is critical to identify a method to accurately predict it. While the historic scientific literature available indicates the presence of stress based, strain based and damage-tolerance analysis-based assessments of fatigue behavior of Nitinol material, there still exists a gap specifically for accurate prediction of fatigue life of Nitinol based prosthetic stents using computational methods like finite element analysis. This article presents a case study of estimating the fatigue life of novel aortic valve when subjected to physiological loading conditions using FEA while using minimal computational resources. This FEA and strain-based approach using constant-life diagram method of fatigue estimation will allow for preliminary evaluation of fatigue life and make design and process changes before fabrication and testing of prosthetic aortic.
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3 articles.
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