To this end, a Progressive Latin Hypercube Sampling (PLHS) method was developed to derive the minimum samples for UA. The required sample size is calculated based on the convergence of the UA results. Therefore, UA is achieved by a variable sample size Design of Experiments (DOE). This ...
Using Latin Hypercube sampling of both random structure variables and external loads, random realizations of structures are generated and progressive collapse analysis is carried out using pseudo-static pushdown method. The proposed framework is applied to study the vulnerability of composite floor. ...
(2017). "Progressive Latin hypercube sampling: An efficient approach for robust sampling-based analysis of environmental models." Environ. Modell. Software, 93, 109-126.Sheikholeslami, R. and Razavi, S., 2017. Progressive Latin Hypercube Sampling: An efficient approach for robust 29 sampling-based...
Using Latin Hypercube sampling of both random structure variables and external loads, random realizations of structures are generated and progressive collapse analysis is carried out using pseudo-static pushdown method. The proposed framework is applied to study the vulnerability of composite floor. ...
A Latin hypercube sampling technique is used to link the microstructural, statistical distributions to the sectional micromechanics. The results obtained show that the novel stochastic sectional model is more accurate than the deterministic sectional model.Joel Johnston...
In this study, a comprehensive database was established by data collection, Latin hypercube sampling and structural design, and was used to train the mathematical model for quantifying progressive collapse resistance of reinforced concrete (RC) beam-column substructures under middle column removal ...
Thirdly, design of experiment (DOE) has been carried out using optimal Latin hypercube sampling method. The surrogate model has been established based on the DOE process and elliptical basis functions (EBF). Sensitivity analysis of mass, peak moment of folding, torsional failure angle, and peak ...
Thirdly, design of experiment (DOE) has been carried out using optimal Latin hypercube sampling method. The surrogate model has been established based on the DOE process and elliptical basis functions (EBF). Sensitivity analysis of mass, peak moment of folding, torsional failure angle, and peak ...
With incremental Latin Hypercube sampling of both random cohesive properties and external loads, the model is used to investigate the probabilistic collapse behavior of a two-dimensional 30 story RC structural frame under different column removal scenarios, where the occurrence probabilities of various ...
With incremental Latin Hypercube sampling of both random cohesive properties and external loads, the model is used to investigate the probabilistic collapse behavior of a two-dimensional 30 story RC structural frame under different column removal scenarios, where the occurrence probabilities of various ...