Accession Number : ADA310475
Title : Inspection of Marine Structures,
Corporate Author : SHIP STRUCTURE COMMITTEE WASHINGTON DC
Personal Author(s) : Demsetz, Laura ; Cario, Robert ; Schulte-Strathaus, Rolf
PDF Url : ADA310475
Report Date : 26 APR 1996
Pagination or Media Count : 81
Abstract : This report addresses the development of a better understanding of probability of section in tanker inspections. Based on a review of the literature and interviews with inspectors and others involved in the tank inspection process. a model of the factors that can influence probability of detection is developed. A review of the treatment of probability of detection in aviation, nuclear power, manufacturing, and off shore structures provides examples of the various methods that have been used to assess probability of detection: controlled experiments on small scale samples. controlled experiments on large scale samples In simulated field conditions use of historical data, and use of an out-of-service structure. Four approaches to analyzing inspection performance are identified and evaluated for application to the tanker inspection problem: solicitation of expert opinion, laboratory experiments. in situ experiments. and benchmarked inspection data. The results suggest that in situ experiments. benchmarked inspection data. and a hybrid (in situ test on an out-of-service vessel) are potentially useful tools for further work on probability of detection. A case study demonstrating the use of benchmarked inspection data is provided. The case study demonstrates the feasibility of the approach. but also its difficulties. The results highlight the important influence that prior knowledge of likely defect locations has on probability of detection. Based on the research presented In this report. It is recommended that further efforts to understand probability of detection in the tanker Inspection environment be carried out through in situ tests of either an in-service or an out-of-service vessel, and through analysis of benchmarked inspection data.
Descriptors : *HUMAN FACTORS ENGINEERING, *INSPECTION, *MARINE ENGINEERING, *OFFSHORE STRUCTURES, *TANKER SHIPS, POSITION(LOCATION), LABORATORY TESTS, DETECTION, PROBABILITY, CASE STUDIES, FEASIBILITY STUDIES, HISTORY, SAMPLING, NUCLEAR POWER PLANTS.
Subject Categories : Administration and Management
Human Factors Engineering & Man Machine System
Distribution Statement : APPROVED FOR PUBLIC RELEASE