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Structural Load Modelling and Combination for Performance and Safety Evaluation [Kõva köide]

  • Formaat: Hardback, 227 pages, kõrgus: 230 mm
  • Sari: Developments in Civil Engineering S.
  • Ilmumisaeg: 31-Jan-1990
  • Kirjastus: Elsevier Science Ltd
  • ISBN-10: 0444881484
  • ISBN-13: 9780444881489
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Structural Load Modelling and Combination for Performance and Safety  Evaluation
  • Formaat: Hardback, 227 pages, kõrgus: 230 mm
  • Sari: Developments in Civil Engineering S.
  • Ilmumisaeg: 31-Jan-1990
  • Kirjastus: Elsevier Science Ltd
  • ISBN-10: 0444881484
  • ISBN-13: 9780444881489
Engineers traditionally base their designs on past experience; this is particularly true in the building and construction industry. In recent decades, however, as the design is increasingly required for systems in environments where there is very little experience to rely on, e.g. nuclear structures, offshore platforms, and space stations, the uncertainty that the engineer faces becomes an important issue and requires serious study. As the uncertainty in the structural loading in general plays a dominant role, in the last decade there has been a rapid increase in the study of the modeling and risk evaluation of loadings on structural systems, in particular, the problem of risk under multiple loads over the structure's lifetime. Methodologies based on probability and statistics theories have been developed to quantify the uncertainty and, as a result, engineers are now better equipped to face the challenge of design under uncertainty. This book provides an account of the development thus far in this area and can be understood by readers with only a basic background in probability and statistics.
1. Introduction. Benefit versus risk of engineering facilities.
Uncertainties in demand and capacity of engineering facilities. Treatment of
uncertainty in design of engineering facilities. Objectives and emphasis.
Organization of subject materials.
2. Basic Random Variable and Random
Process Models. Commonly used load occurrence models. Bernoulli sequence.
Poisson process. Renewal process. Polya process. Multi-variate point process.
Commonly used load intensity models. Uni- and multi-variate normal
distribution. Lognormal distribution. Gamma and exponential distribution.
Extreme value distribution. Continuous Gaussian process. Point process with
deterministic shape response function. Generation of random load intensity
and random load process on digital computer and Monte-Carlo method.
Generation of random variables. Generation of random processes. Convergence
of Monte-Carlo method.
3. Modeling of Time Varying Load and Load Effect.
Fluctuation of load and load effect. Loadings with macro-scale time
variability only. Loadings with both macro- and micro-time variability. Pulse
process. Poisson pulse process. Generalization. Other pulse process.
Intermittent continuous process. Examples of load and load effect as pulse
and intermittent processes. Appendix 3-A: Input-Output relationship of linear
systems. Under dynamic random excitation.
4. Combination of Loads and Load
Effects. Linear combination. Load coincidence (L.C.) method. Method of point
crossing. Method of upcrossing rate. Other methods. Nonlinear combination.
Outcrossing rate analysis. Resistance uncertainty. Load coincidence method.
First and second order methods. Point crossing method.
5. Modeling and Effect
of Load Dependencies. Within-load dependencies. Dependence between intensity
and duration. Occurrence dependence (clustering). Intensity dependence.
Between-load dependencies. Occurrence clustering among loads. Intensity
dependence between loads. General case. Duration of coincidence of dependent
loadings. Appendices: Monte-Carlo simulation and combination of dependent
pulse processes. Sum of two independent Gauss-Markov processes. Derivation of
function h 12 (3) (t,t'). Integration of Eq. 5.50.
6. Load Combination Rules.
Risk consistency of current rules. Load reduction factor method (LRF). SRSS
rule. Companion action factor method (CAF). Turkstra's rule (TR). Accuracy of
load combination rules. Appendices: Derivation of joint distribution function
of lifetime maximum value, R, and arbitrary-point-in-time value, S, of a
pulse or intermittent process. Derivation of nonexceedance probability
according to Turkstra's rule. Index.