Monte Carlo Simulation Using Pearson's Frequency Curves
An extension of the direct Monte Carlo simulation method to estimate the probability of failure of structural systems or components is investigated. It utilizes the performance values...
Improved Importance Sampling Methods for Structural System Reliability Calculation
Improvements can be made to importance sampling by recognising some of the essential features of the time-independent structural reliability problem. Thus non-interesting regions in the...
Expected Failure Time of Fiber Bundle Systems Subject to Gaussian Load Processes
Methods are developed for estimating the reliability and failure time of Daniels systems subject to Gaussian load processes. These systems consist of a set of parallel fibers and can carry...
On Stochastic Decomposition and Its Applications in Probabilistic Dynamics
The frequency domain analysis concerning the response of cascade-nested multiple input/output systems requires computation of the cross-spectral density matrix involving the input, intermediate...
A Comparison of Different Mathematical Models for the Spatial Correlation of Distributed Excitation Forces
This paper contains an investigation of the transverse vibrations of EULER-BERNOULLI beams under longitudinal tension and random space-time loading. Using GREEN's function...
Detection of System Nonlinearity
A method for detection of linear/nonlinear characteristics of mechanical systems excited by stationary Gaussian processes is presented. Linear systems under consideration show always a...
System Identification Methods for Fault Detection and Diagnosis
Faults refer to any unexpected changes or modifications of existing structures resulting from extreme loads or other abnormal loading and environmental conditions. Such faults may effect...
Statistical System Identification of Structures
A general unifying approach to system identification is presented within a Bayesian statistical framework to explicitly treat the inherent uncertainties. It is shown that selecting the...
Experience in Model Adjustment by Parameter Estimation Methods
If the computational model is uncertain and if measured data of the system exist, system identification approaches lead to an improved computational model with known confidence. After...
Identification of Bilinear Severely Hysteretic Systems
An identification method is investigated on bilinear severely hysteretic systems subjected to a strong earthquake motion by means of the Extended Kalman Filter incorporated with a weighted...
Active Control of Structures Under Stochastic Base Excitation with a Predominant Frequency
Active control of structures under stochastic base excitation is investigated. The synthesis of an active control system discussed in the study is based on the use of stochastic control...
On the Adequacy of Linearized Methods for Control of Nonlinear Bridge Oscillations
In this paper, control of nonlinear oscillations of a single-span flexible bridge with light damping is examined to improve bridge safety and reliability. The control forces are applied...
Reliability of Control Systems of Building Structures by Active Tendons
In this paper, a numerical assessment on the reliability of a control system of building structures by active cables is performed. Some control experiments on a 23-story shear-wall building...
Safety Evaluation of a Tall Building
This paper uses the extended Kalman filter to perform the system identification of a tall building with the aid of recorded accelerograms obtained from strong-motion seismographs. The...
Stochastic Propagation of Semi-Elliptical Surface Cracks
Random propagation of a semi-elliptical surface crack is investigated as a bivariate stochastic process. Under a few assumptions, a probability distribution of the surface crack propagation...
Two Principles for Data Based Probabilistic System Analysis
A major problem in probabilistic system analysis is to find a self-consistent method of inference about probabilities based on a random sample of system state variables. Such a method...
Development of a Deep Knowledge Based Expert System for Structural Diagnostics
The paper tackles development of a structural reliability expert system, the basic goal of which is to improve current possibilities for structural safety and reliability analysis of critical...
Knowledge Representation and Reasoning in Structural Reliability Assessment Expert Systems: Implementation in the Leak-Before-Break Prototype System
Knowledge representation and reasoning, considered of a major importance for building and practical application of the structural reliabilty assessment expert systems, are the issues tackled...
Development of Reliability-Based Integrated Design-Construction Quality Assurance System of Penstock
A more rational design-construction quality assurance system is proposed by applying the concepts of the reliability-based design methods. By applying this system, the design level of...
Limit States Reliability Interaction in Optimum Design of Structural Systems
A multiobjective optimization approach to deal with structural reliability-based design under multiple limit states is developed. This approach resolves the limit states reliability interaction...
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