TITLE

Reliability analysis of composite channels using first order approximation and Monte Carlo simulations

AUTHOR(S)
Adarsh, S.; Reddy, M.
PUB. DATE
February 2013
SOURCE
Stochastic Environmental Research & Risk Assessment;Feb2013, Vol. 27 Issue 2, p477
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Artificial open channels being costlier infrastructure, their design should ensure reliability along with optimality in project cost. This paper presents reliability analysis of composite channels, considering uncertainty associated with various design parameters such as friction factors, longitudinal slope, channel width, side slope, and flow depth. This study also considers uncertainties of watershed characteristics, rainfall intensity and drainage area to quantify the uncertainty of runoff. For uncertainty modeling, the advanced first order second moment method and Monte Carlo simulation are used and it is found that the results by both approaches show good agreement. Then, a reliability index that can be used to design a composite channel to convey design discharge for a specified risk or probability of failure is presented, and its sensitivity with different channel design parameters are analyzed. To validate the effectiveness of the present approach, the reliability values and safety factors for variable system loading scenario are obtained under static and dynamic environment. The sensitivity analysis shows that flow depth and bed width are the most influencing parameters that affect the safety factor and reliability.
ACCESSION #
84765538

 

Related Articles

  • THE DISTRIBUTION OF MAXIMUM FLOW WITH APPLICATIONS TO MULTISTATE RELIABILITY SYSTEMS. Fishman, George S. // Operations Research;Jul/Aug87, Vol. 35 Issue 4, p607 

    This paper describes an efficient Monte Carlo sampling plan for estimating the distribution of maximum flow in a directed network whose arcs have random capacities. Such a network can be used to represent a multistate system whose multistate components (capacities) are subject to random...

  • Probability and Sensitivity Analysis of Plate. Katarína, TVRDÁ // Applied Mechanics & Materials;2014, Issue 617, p193 

    This paper deals with some problems of the ceiling plate, made of the Cobiax-system. Cobiax provides a system to produce voided, biaxial, flat plate slabs as a high-quality concrete solution for large spans and slim slabs. Plastic voids in the shape of spheres or flattened spheres are contained...

  • A Modeling Framework for System Restoration from Cascading Failures. Liu, Chaoran; Li, Daqing; Zio, Enrico; Kang, Rui // PLoS ONE;Dec2014, Vol. 9 Issue 12, p1 

    System restoration from cascading failures is an integral part of the overall defense against catastrophic breakdown in networked critical infrastructures. From the outbreak of cascading failures to the system complete breakdown, actions can be taken to prevent failure propagation through the...

  • A MONTE CARLO APPROACH TO CALCULATING PROBABILITIES FOR CONTINUOUS IDENTITY BY DESCENT DATA. Browning, Sharon // Journal of Applied Probability;Sep2000, Vol. 37 Issue 3, p850 

    Deals with a study which presented a Monte Carlo approach to calculating probabilities for continuous identity by descent data. Simulation study; Discussion.

  • Monte Carlo Simulation in Thermal Radiative Transfer: Method Review, Validation and Parameter Sensitivity. Koreshi, Zafar U.; Siddiq, Sadaf; Shah, Tasneem M. // International Journal of Mechanical & Mechatronics Engineering;Oct2009, Vol. 9 Issue 9, p221 

    Monte Carlo (MC) simulation is extensively used for solving thermal radiation problems in high-temperature environments, such as combustion chambers and furnaces, and irregular-geometry enclosures containing participative media such as combustive gases. The quantities of interest are surface...

  • Validity Generalization and Hypothetical Reliability Distributions: A Test of the Schmidt-Hunter Procedure. Paese, Paul W.; Switzer II, Fred S. // Journal of Applied Psychology;May88, Vol. 73 Issue 2, p267 

    A Monte Carlo study was conducted to determine how variations in true reliability distributions affect validity generalization estimates that are based on hypothetical reliability distributions proposed by Schmidt and Hunter. Both interactive and noninteractive validity generalization equations...

  • Regional frequency analysis of heavy precipitation in the Czech Republic by improved region-of-influence method. Gaál, L.; Kyselý, J. // Hydrology & Earth System Sciences Discussions;2009, Vol. 6 Issue 1, p273 

    The region-of-influence (ROI) approach is implemented for modelling the probabilities of heavy 1-day and 5-day precipitation amounts in the Czech Republic. Compared to the previous study for Slovakia (Gaál et al., 2008), an improved ROI methodology that makes use of a regional homogeneity...

  • Facial Features Tracking Using Auxiliary Particle Filtering and Observation Model Based on Bhattacharyya Distance. Shirinzadeh, Fatemeh; Seyedarabi, Hadi; Aghagolzadeh, Ali // International Journal of Computer Theory & Engineering;Oct2012, Vol. 4 Issue 5, p758 

    Recently, particle filtering has become an effective algorithm for facial feature tracking. One problem with particle filtering is that as the dimensionality of the state space increases, a large number of particles that are propagated from the previous time are wasted in area where they have...

  • A Glace at Monte Carlo Integration. Singh, Udayan // Mathematics in School;May2013, Vol. 42 Issue 3, p20 

    The article provides information on the Monte Carlo Integration method. A brief background of the Monte Carlo Method, often considered by students as a fascinating method of problem solving that involves the use of probability. It outlines the basic steps for integration or finding area under...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics