دانلود مقاله ISI انگلیسی شماره 64041
ترجمه فارسی عنوان مقاله

تایید و اعتبارسنجی برای یک مدل نفوذ با استفاده از یک ابزار طراحی قطعی و احتمالاتی

عنوان انگلیسی
Verification and validation for a penetration model using a deterministic and probabilistic design tool
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
64041 2006 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Impact Engineering, Volume 33, Issues 1–12, December 2006, Pages 681–690

ترجمه کلمات کلیدی
نفوذ، مدل محاسباتی، عدم قطعیت اندازه گیری، تأیید و اعتبار
کلمات کلیدی انگلیسی
Penetration; Computational model; Uncertainty quantification; Verification and validation

چکیده انگلیسی

The Los Alamos National Laboratory Dynamic Experimentation (DynEx) program is the designing and validating steel blast containment vessels using limited experiments coupled with computational models. Through a need to design portions of the vessel to protect against breeches by projectiles, an analytical model was developed along the lines of the Walker–Anderson penetration model to predict the penetration depth of a projectile in a two- and three-layer target. The three-layer target consists of boron carbide ceramic (B4C), beryllium (Be), and aluminum. The two-layer target removes the Be. This model was integrated in the NESSUS® probabilistic analysis program to provide a deterministic and probabilistic design tool. Through a verification and validation approach, the model predictions are compared to the experimental results for both target configurations. The probabilistic analysis or uncertainty quantification is an essential part of verification and validation (V&V) and is used to provide confidence in model predictions. Overall, the V&V procedure indicates that the model predicts the two-layer target results well and is biased conservatively. The three-layer target provides reasonable predictions for thinner ceramic layers. The probabilistic results provide additional insight into the model and experimental results comparison over a deterministic analysis alone. The results show that there may be incomplete physics in the modeling of Be and thicker B4C layers. The probabilistic sensitivity factors show that the projectile density, velocity and strength, and Be strength are important variables. This information provides insight into approaches to improve the model predictions and establishes validity for use of the current model for specific configuration ranges.