Download e-book for kindle: Offshore Structural Engineering: reliability and risk by Srinivasan Chandrasekaran

By Srinivasan Chandrasekaran

ISBN-10: 149876519X

ISBN-13: 9781498765190

ISBN-10: 1498765203

ISBN-13: 9781498765206

Successfully estimate hazard and reliability, and bring cutting edge, but trustworthy designs utilizing the ways defined in Offshore Structural Engineering: Reliability and possibility Assessment. A hands-on advisor for working towards pros, this e-book covers the reliability of offshore constructions with an emphasis at the defense and reliability of offshore amenities in the course of research, layout, inspection, and making plans.

Since probability evaluate and reliability estimates are frequently according to chance, the writer makes use of strategies of likelihood and statistical research to handle the dangers and uncertainties fascinated about layout. He explains the options with transparent illustrations and tutorials, offers a bankruptcy on chance concept, and covers numerous levels of the method that come with information assortment, research, layout and development, and commissioning.

In addition, the writer discusses advances in geometric structural kinds for deep-water oil exploration, the rational remedy of uncertainties in structural engineering, and the security and serviceability of civil engineering and different offshore structures.

An valuable consultant to leading edge and trustworthy structural layout, this book:

  • Defines the structural reliability theory
  • Explains the reliability research of structures
  • Examines the reliability of offshore structures
  • Describes the probabilistic distribution for vital loading variables
  • Includes equipment of reliability analysis
  • Addresses chance evaluation and more

Offshore Structural Engineering: Reliability and possibility Assessment

offers an in-depth research of chance research and evaluate and highlights vital elements of offshore structural reliability. The e-book serves as a realistic connection with engineers and scholars excited about naval structure, ocean engineering, civil/structural, and petroleum engineering.

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Additional resources for Offshore Structural Engineering: reliability and risk assessment

Sample text

Environmental loads arise from the ocean environment that include wave loads, wind loads, ice loads, etc. The mean return period is used to account for the characteristic value of this class of loads. Accident loads arise from exceptional conditions like collision, drop objects, explosion and fire, etc. The characteristic value of this class of loads depends on the subject of investigation, operational manner, etc. As stated above, a variety of uncertainties arise in all class of loads; characteristic values are used to account for these uncertainties (Maddox and Wildenstein, 1975).

Now P(S) = 1, where is the union of all possible events, related to the event under discussion, say rainfall, E. Thus, S = U{EUCUSUF} 19 Concept of Probability and Sampling Statistics In the considered example, please note that all the events are mutually exclusive. Therefore P[EUA] = P[ A] + P[E ] where the space of all other events is indicated by S. If they are not mutually exclusive, then the above statement is not true. In assessing the reliability of offshore structures, the space of events identified, say, for example, can be the compressive strength of concrete, tensile strength of steel, etc.

Consider the following event. On a late night, policemen were patrolling on a main road of a city center. They heard a loud sound similar to that of breaking glass. They also noticed a man running in the dark wearing a mask on his face. The man was also carrying a big bag in his hand and the policemen could think that he was a thief. The incident also has other similar options as follows: Policemen did not know complete information about the incident. The person who was noticed to be running in the dark could also be the owner of the store who was coming out of the shop.

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Offshore Structural Engineering: reliability and risk assessment by Srinivasan Chandrasekaran

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