We provide probabilistic lower bounds for the star discrepancy of Latin hypercube samples. These bounds are sharp in the sense that they match the recent probabilistic upper bounds for the star discrepancy of Latin hypercube samples proved in [M. Gnewuch, N. Hebbinghaus. Discrepancy bounds for a class of negatively dependent random points including Latin hypercube samples. Preprint 2016.]. Toge...

The discrete element method (DEM) often uses the angle of repose to study microscopic parameters particles. This paper proposes a multi-objective optimization combining realistic modeling particles and image analysis calibrate gravel parameters, after obtaining actual static (αAoR_S) dynamic (βAoR_D) by physical tests. design variables were obtained Latin hypercube sampling (LHS), radial basis ...

How to improve the power generation of wave energy converters (WEC) has become one main research objectives in field. This paper illustrates a framework on use back propagation (BP) neural network predicting capture frustum cone shaped floating body. Mathematical model single body is derived, and radius, semi-vertical angle, mass, submergence depth, take-off (PTO) damping coefficient, stiffness...

In the present study the deterministic thermo-chemical pultrusion simulation of a composite rod taken from the literature [7] is used as a validation case. The predicted centerline temperature and cure degree profiles of the rod match well with those in the literature [7]. Following the validation case, the probabilistic design of the pultrusion process, which has not been considered until now,...

Incorporating results from a previously developed finite element model, an uncertainty and parameter sensitivity analysis was conducted using preliminary site-specific data from Horonobe, Japan (data available from five boreholes as of 2003). Latin Hypercube Sampling was used to draw random parameter values from the site-specific measured, or approximated, physicochemical uncertainty distributi...

Ship design is a complex engineering effort required excellent coordination between the various disciplines and essentially applies iteration to satisfy the relevant requirements, such as stability, power, weight, and strengths. Through, all-in-one Multidisciplinary Design Optimization (MDO) approach is proposed to get the optimum performance of the ship considering three disciplines, power of ...

In this paper, eight ventilation strategies in a typical apartment floor plan in Jeju, Korea were studied. In terms of size and floor plan, the chosen building is typical of residential buildings and consists of three bedrooms, a living room, and a kitchen. In this study, uncertainty propagation was introduced to treat the parameters which are not “deterministic” but “probabilistic” such as the...

Geological CO2 sequestration (GCS) has been proposed as an effective approach to mitigate carbon emissions in the atmosphere. Uncertainty and sensitivity analysis of fate dynamics storage are essential aspects large-scale reservoir simulations. This work presents a rigorous machine learning-assisted (ML) workflow for uncertainty global prediction deep saline aquifers. The comprises three main s...

 The use of optimal orthogonal array latin hypercube designs is proposed. Orthogonal arrays were proposed for constructing latin hypercube designs by Tang (1993). Such designs generally have better space filling properties than random latin hypercube designs. Even so, these designs do not necessarily fill the space particularly well. As a result, we consider orthogonal-array-based latin...

Uncertainties are inherent in engineering problems due to various numerical modeling “imperfections’’ and due to the inevitable scattering of the design parameters from their nominal values. Under this perspective, there are two main optimal design formulations that account for the probabilistic response of structural systems: Reliability-based Design Optimization (RBDO) and Robust Design Optim...