Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 43 for “"Latin Hypercube"”.
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Extending orthogonal and nearly orthogonal Latin hypercube designs for computer simulation and experiments
Efficient Designs (SEED) Center website (http://harvest.nps.edu).
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Sensitivity and uncertainty analysis in hydrological modeling: a case study of South Chickamauga Creek watershed using BASINS/HSPF
… (HSPF) model was developed for simulating surface and sub-surface hydrology, and creek flows in the South Chickamauga Creek Watershed, TN. The HSPF model was calibrated against USGS observed data from January 2013 to December 2017 and was validated for the period January 2018 to …
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Analytical techniques of quality and cost : robust design, design of experiments, and the prediction of mean shift
… on creating a comparison of the Monte Carlo, Latin Hypercube, and star pattern sampling methods on predicting mean shift. The benefits of the star pattern sampling method are apparent through the example. The error in the prediction of mean shift of the star pattern is less than 1%, and the …
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Risk-informed design changes for a passive cooling system
… assessed and propagated through the model using Latin hypercube sampling. The changes in the design that we investigated reduced the overall failure probability of the system by reducing the impact of the major contributor to the failure probability. Sensitivity analyses led to two unexpected …
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Advances in Sobol' Index Estimation: Metamodeling, Multilevel Monte Carlo Metamodeling, and Nested Simulation Techniques
… a novel method combining nested simulation with Latin hypercube sampling for enhanced efficiency. For scenarios where experimental design is infeasible, we propose a partition-based approach enabling Sobol' index estimation from existing datasets, eliminating new experiment requirements. This …
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Uncertainty and sensitivity analysis for long-running computer codes : a critical review
… include standard Monte Carlo simulation, Latin Hypercube sampling, importance sampling, line sampling, and subset simulation. Sensitivity analysis (SA) methods include scatter plots, Monte Carlo filtering, regression analysis, variance-based methods (Sobol' sensitivity indices and Sobol' …
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Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school
… are investigated: manual calibration and Latin Hypercube Monte Carlo (LHMC) analysis. LHMC is a statistical technique for calibrating building energy simulations, whereas manual calibrations are tuned by the modeler. Calibrated simulations are then used to predict the potential for energy …
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Modeling anti-air warfare with discrete event simulation and analyzing naval convoy operations
… a nearly orthogonal nearly balanced (NOB) Latin hypercube design was used. The effects of these input changes on the outputs were analyzed using partition trees and nominal logistic regression. The primary response variable was the survival of the High Value Unit (HVU) as a binary outcome. …
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Calculating failure probabilities of passive systems during transients
… and were propagated through the model using Latin Hypercube Sampling. An important finding was the discovery that the smaller pressure loss through the DHR heat exchanger than through the core would make the flow to bypass the core through one DHR loop, if two loops operated in parallel. This …
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Sensitivity Analysis of the Forest Vegetation Simulator Southern Variant (FVS-Sn)for Southern Appalachian Hardwoods
… were performed on the FVS-Sn model using Latin hypercube sampling. Response surfaces were fitted to determine the magnitudes and directions of relationships between FVS-Sn model parameters and predicted 10-year basal area increment. Model sensitivities were calculated for five different …
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An Experimental Evaluation of Micro-pitting Performance of Two Bearing Steels
… Test matrices are defined according to the Latin Hypercube Space Filling Design of Experiment approach and executed to evaluate the micro-pitting performance of both materials by manipulating the speed, sliding ratio, load, and material. A two-disk test set-up is used for this purpose with …
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An Anatomically Representative Atlas-Based Finite Element Model of the Human Brain for Studying Brian Injury Biomechanics: Development, Validation and Comparison to Existing Models
… brain material parameters, a technique called Latin Hypercube Sampling (LHS) was employed to optimize the brain material properties against three experimental cadaver tests to achieve ideal biomechanics. Additionally, pretension and thickness of the falx were varied in a lateral impact …
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Qualitative and quantitative convergence results for randomised integration methods
… lattice rules, randomised (t,d)-sequences, Latin hypercube samples, and randomised Frolov points. Secondly, we study integration w.r.t. probability measures which are available only via their non-normalised density. In this context we investigate Markov chain Monte Carlo methods which …
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An integrated method for managing complex engineering projects using the design structure matrix and advanced simulation
… using advanced simulation techniques such as the Latin Hypercube Sampling and parallel discrete event simulation. The model computes the probability distribution of lead time and identifies critical paths in a resource-constrained, iterative project. Using the results of analyses from the …
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Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim
… different DOE techniques: full factorial (FF), Latin hypercube sampling (LHS), and central composite design (CCD) are used to train the surrogates. The biggest concern in using the proposed methodology is the generation of the required database. This thesis proposes a data driven approach where …
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An alternative optimization model and robust experimental design for the Assignment Scheduling Capability for the Unmanned Aerial Vehicles (ASC-U) simulation
… design, and an innovative Optimized Flexible Latin Hypercube (OFLH) design are used to evaluate a representative sample from an Army 2018 scenario. The conclusions suggest the following: the alternative optimization model developed in this thesis can successfully maximize ASC-U value without …
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Development of a Novel Statistical Method and Procedure for Material Characterization and a Probabilistic Approach to Assessing the Hygrothermal Performance of Building Enclosure Assemblies
… categories were obtained and incorporated in the Latin hypercube sampling.</p> <p>The probabilistic approach was then applied to assess the durability, thermal efficiency, and mold growth risk of a retrofitted wall assembly. The most influential input variables against the specific performance …
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Optimal satellite constellation spare strategy using multi-echelon inventory control with stochastic demand and lead times
… model is validated against simulations using Latin Hypercube Sampling, and an optimization formulation based on the proposed model is introduced to identify spare strategy, comprising the parking orbits characteristics and all locations policies, to minimize the maintenance cost of the system …
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Prediction techniques for passive systems' probability of failure
… of these parameters was done through the use of Latin Hypercube Sampling (LHS) combined with an analysis centered on the use of two statistical tools, Logistic Regression and the Classification Tree. The results yielded by this study, made it necessary to perform a systematic statistical …
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Machine Learning from Computer Simulations with Applications in Rail Vehicle Dynamics and System Identification
… plans are investigated, and a space-filling Latin Hypercube sampling plan based on the traveling salesman problem (TPS) is suggested for efficiently representing the entire parameter space. The simulation results confirm the expected increased modeling efficiency, although further research is …
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