Find a copy online
Links to this item
Find a copy in the library
Finding libraries that hold this item...
Details
| Material Type: | Internet resource |
|---|---|
| Document Type: | Internet Resource |
| All Authors / Contributors: |
Karl A Stambaugh; John C Knecht; SHIP STRUCTURE COMMITTEE WASHINGTON DC. |
| OCLC Number: | 227768768 |
| Notes: | Technical rept. Oct 1986-May 1988. |
| Description: | 100 p. ; 23 x 29 cm. |
Abstract:
A corrosion survey methodology is presented to obtain corrosion data from ships. The corrosion data will be used to develop a rational method for assessing corrosion margins. The project included a survey of ship operators for corrosion data to define data collection and analysis requirements to characterize the corrosion rates that affect structural integrity of ships. The techniques used to predict corrosion rates and assess the strength of corroded structure were also reviewed to determine data requirements. The methodology consists of a data collection procedure, with recommended instrumentation. Forms were developed for documenting the measurements. Finally, an outline of the database was developed that includes an Expert System interface for data input, analysis and retrieval.
Reviews
User-contributed reviews
Add a review and share your thoughts with other readers.
Be the first.
Add a review and share your thoughts with other readers.
Be the first.
Tags
Add tags for "Corrosion Experience Data Requirements.".
All user tags (1)
View most popular tags as: tag list
| tag cloud
View most popular tags as:
tag list
| tag cloud
- nie przydatne (by 1 person)
- 1 items are tagged withnie przydatne
Similar Items
Related Subjects:(24)
- Properties of metals and alloys.
- Numerical mathematics.
- Marine engineering.
- Corrosion.
- Data acquisition.
- Ship structural components.
- Methodology.
- Ships.
- Interfaces.
- Structural properties.
- Rates.
- Reliability.
- Correlation.
- Surveys.
- Ship personnel.
- Expert systems.
- Recording systems.
- Operators(personnel)
- Margin of safety.
- Requirements.
- Input.
- Data bases.
- Data processing.
- CORROSION DATA
