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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).

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Citations
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Journal ArticleDOI

Reliability‐based design optimization of computation‐intensive models making use of response surface models

TL;DR: The development of an adaptive response surface method for reliability-based design optimization of computation-intensive models, capable of reducing optimization times significantly, is described.
Journal ArticleDOI

Reliability-based design optimization using SORM and SQP

TL;DR: The proposed SORM-based SQP approach for RBDO is accurate, efficient and robust, demonstrated by solving several established benchmarks, with values on the target of reliability that are considerable higher than what is commonly used, for mixtures of five different distributions.
Proceedings ArticleDOI

Modified Bayesian Kriging for Noisy Response Problems for Reliability Analysis

TL;DR: A sequential sampling method that uses the posterior credible sets for inserting new design of experiment (DoE) sample points is proposed, developed in such a way that the newly added DoE sample points will provide the maximum amount of information possible to the MBKG surrogate model, making it an efficient and effective way to reduce the number of Do E sample points needed.
Dissertation

A design space exploration process for large scale, multi-objective computer simulations

TL;DR: A graph-based partitioning method combines the graph and sparse matrix decomposition methods used by the electrical engineering community with the results of a screening test to create a quantitative method for partitioning large scale, black-box systems.

Microzonation models for Montreal with respect to Vs30

TL;DR: In this paper, a geostatistical approach combining a large dataset of boreholes, f0 data from the H/V method, and a limited number of shear wave velocity measurements is proposed.
References
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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.