scispace - formally typeset
Journal ArticleDOI

Probability, Reliability and Statistical Methods in Engineering Design

P.E. James T. P. Yao
- 01 Jan 2001 - 
- Vol. 127, Iss: 1, pp 101-101
About
This article is published in Journal of Structural Engineering-asce.The article was published on 2001-01-01. It has received 451 citations till now. The article focuses on the topics: Probabilistic design & Reliability (statistics).

read more

Citations
More filters

Geotechnical reliability-based designs and links with LFRD

TL;DR: In this paper, reliability-based design (RBD) can play a useful complementary role to overcome some limitations in the Load and Resistance Factor Design (LRFD) approach, for example in situations where loads contribute not only destabilizing but also stabilizing effects, situations with different targets of probability of failure.
Dissertation

Contribution à la résolution de problèmes inverses sous contraintes et application de méthodes de conception robuste pour le dimensionnement de pièces mécaniques de turboréacteurs en phase avant-projets.

Maëva Biret
TL;DR: In this article, the authors propose a methodologie complete for the conception robuste sous contraintes, which consists of reduction of the dimension and meta-modelisation.
Journal ArticleDOI

An evaluation of simple techniques to model the variation in strain hardening behavior of steel

TL;DR: In this paper, the accuracy of simplified scatter modeling methods in representing real material variation is evaluated by comparing the material scatter obtained by them to the scatter obtained after complete tensile tests, which are obtained after detailed time-consuming experimental investigations.
DissertationDOI

Variable screening method using statistical sensitivity analysis in RBDO

Sangjune Bae
Abstract: Recommended Citation Bae, Sangjune. "Variable screening method using statistical sensitivity analysis in RBDO.
Proceedings ArticleDOI

Use of Simulation in Structural Reliability

TL;DR: In this article, Monte Carlo simulation is used as a general tool for reliability analysis of structural systems with respect to the collapse of an arch bridge, and the usefulness and effectiveness of simulation are shown through the application of an existing arch bridge.
References
More filters
Journal ArticleDOI

Is My Model Good Enough? Best Practices for Verification and Validation of Musculoskeletal Models and Simulations of Movement

TL;DR: Practical guidelines for verification and validation of NMS models and simulations are established that researchers, clinicians, reviewers, and others can adopt to evaluate the accuracy and credibility of modeling studies.
Journal ArticleDOI

Adaptive Designs of Experiments for Accurate Approximation of a Target Region

TL;DR: An iterative strategy to build designs of experiments is proposed, which is based on an explicit trade-off between reduction of global uncertainty and exploration of the regions of interest, which shows that a substantial reduction of error can be achieved in the crucial regions.
Journal ArticleDOI

Adaptive explicit decision functions for probabilistic design and optimization using support vector machines

TL;DR: This article presents a methodology to generate explicit decision functions using support vector machines (SVM) and proposes an adaptive sampling scheme that updates the decision function.
Journal ArticleDOI

Validation of reliability computational models using Bayes networks

TL;DR: The methodology includes uncertainty in the experimental measurement, and the posterior and prior distributions of the model output are used to compute a validation metric based on Bayesian hypothesis testing.
Journal ArticleDOI

Adaptive probability analysis using an enhanced hybrid mean value method

TL;DR: In this article, an adaptive probability analysis method is proposed to generate the probability distribution of the output performance function by identifying the propagation of input uncertainty to output uncertainty, which is based on an enhanced hybrid mean value (HMV+) analysis in the performance measure approach.