1982
DOI: 10.1016/0167-4730(82)90012-1
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Probability-based criteria for structural design

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Cited by 170 publications
(66 citation statements)
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“…Results from widely known international works [17,18] indicate that normal distribution is the one that best fits the description of concrete behavior, which was proven after successive fits using Easyfit software. It should be mentioned that in the existence of an efficient control, the strength values are grouped close to the mean and the distribution curve is high and narrow; on the opposite scenario, the strength values spread out and the curve becomes low and wide.…”
Section: W C Santiago | a T Beckmentioning
confidence: 99%
“…Results from widely known international works [17,18] indicate that normal distribution is the one that best fits the description of concrete behavior, which was proven after successive fits using Easyfit software. It should be mentioned that in the existence of an efficient control, the strength values are grouped close to the mean and the distribution curve is high and narrow; on the opposite scenario, the strength values spread out and the curve becomes low and wide.…”
Section: W C Santiago | a T Beckmentioning
confidence: 99%
“…The number of points fallen within the domain, divided by the total number of points generated gives an estimate of the probability of failure in accordance with eqn. (1). The unbiased estimator of the probability of failure is given by 1 N Pf =N i~ ~i (4) in which ~i--0, if M(x) > 0, ~i--1, if M(x) < 0, and N is the total number of cycles.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…Probabilistic assessment of structural safety is receiving increased attention and acceptance with the emergence of probability-based design formats such as the load and resistance factor design (LRFD) approach [ 1,2 ]. The review of reliability analysis techniques presented here, with a detailed example of wind effects on structures, is intended to stimulate more interest and to initiate further applications of reliability concepts in this field.…”
Section: Introductionmentioning
confidence: 99%
“…C LS depends mainly on the probability of failure of the structure based on the limit states functions of the story drifts. X 5 μ CSS friction coefficients 0.11 0.1 Lognormal [55] X 6 DL Dead load 1.05 × DL n * = 3675 kg/m 0.1 Normal [56] X 7 LL Live load 1 × LL n * = 1,500 kg/m 0.25 Extreme Value [56] X 8 E C Modulus of elasticity of concrete 1.12 × E C = 28 GPa 0.13 Lognormal [54] X 9 -Input ground motion --Randomly generated in agreement with Section 3 *DL n and LL n denote the nominal dead and live loads.…”
Section: Reliability-based Design Optimization Problemmentioning
confidence: 99%