Journal ArticleDOI
Probability, Reliability and Statistical Methods in Engineering Design
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
Méthodologie de validation des modèles numériques utilisés lors de la prédiction des contraintes sur les aubes de turbines hydroélectriques
TL;DR: In this article, the authors propose a methode coherente for the validation of simulation numeriques employedes for estimer the contraintes mecaniques, particulierement adaptee au secteur des turbines hydroelectriques.
Journal ArticleDOI
Formulation of the membership function and determination of the input of fuzzy loads in the structural fuzzy analyzing problem
TL;DR: The author considers only the method for formulation of the membership function of fuzzy loads acting on the structure for determining the appropriate combination of deterministic inputs so that each input parameter will present only one time in each combination.
Dissertation
System-level Structural Reliability of Bridges
TL;DR: In this article, the authors demonstrate that two-girder or two-web structural systems can be employed to design efficient bridges with an adequate level of redundancy, which is a constraint for the bridge designers in North America who want to take advantage of efficiency in this type of structural system.
Posted Content
A Novel Geomechanics Concept for Earthquake Excitations Applied in Time Domain
Achintya Haldara,J. Ramon Gaxiola Camachob,Hamoon Azizsoltanic,Francisco J. Villegas-Mercadoa,S. Mohsen Vazirizadea +4 more
TL;DR: A novel geomechanics concept is presented for studying the behavior of geomaterials and structures by capturing the underlying dynamics as realistically as possible for earthquake excitation applied in time domain and is expected to change the current engineering design paradigm.
Proceedings ArticleDOI
Probabilistic Mission Identification of Aircraft Engine Usage Using Nonparametric Density Estimation Techniques
Michael P. Enright,S. J. Hudak +1 more
TL;DR: In this paper, a method is presented for predicting the most likely mission type for a given flight history based on volume integration of the joint probability densities that are common to both the flight history and a standard mission.
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
Anirban Basudhar,Samy Missoum +1 more
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
Sankaran Mahadevan,Ramesh Rebba +1 more
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.