Uncertainty Analysis of Ship Powering Prediction Methods: A sensitivity study using Monte Carlo Simulation followed by an analys,Used

Uncertainty Analysis of Ship Powering Prediction Methods: A sensitivity study using Monte Carlo Simulation followed by an analys,Used

In Stock
SKU: DADAX3838381793
Brand: LAP Lambert Academic Publishing
Condition: New
Regular price$97.47
Quantity
Add to wishlist
Add to compare

Sold by Ergodebooks, an authorized reseller.

Returns accepted within 30 days | support@ergodebooks.com

Verified
Shipping Information
  • Free Standard Shipping — United States only
  • Processing Time: 1–3 business days
  • Estimated Delivery: 3–5 business days after dispatch
  • Double-boxed, fully insured & discreetly packaged
  • Tracking number sent via email once dispatched
  • Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund

Returns accepted within 30 days of delivery.

Damaged or Defective Item

Free return shipping + replacement or full refund

Wrong Item Received

Free return shipping + replacement or full refund

Change of Mind

Return shipping at customer's expense · 25% restocking fee applies

All returns require a Return Authorization (RA) number before sending.

To initiate a return, contact us:

support@ergodebooks.com +1 (281) 738-1050
View Full Return & Refund Policy
Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

Model towing tank testing is used to predict the powering required for fullscale vessels. Uncertainty analysis has up to this point focused on potential errors in the model data from the tests performed. The overall sensitivity of predicted power from this and other prediction methods to variations in inputs from the model tests and from elements such as the frictional resistance coefficient or correlation allowance needs to be determined. Rather than setting up a series of data reduction equations, a Monte Carlo simulation was used and the entire method was used as the data reduction equation in the uncertainty analysis. Several different extrapolation methods were studied to assess variation in powering prediction methods resulting from variation in input data and from the variation of the details of the extrapolation. Methods of reducing the uncertainty in the predicted power from the ITTC 1978 method were proposed. An analysis of model testing work on a geometrically similar series of podded propulsors follows the powering prediction work.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed