Optimising Poisson bridge constructions for variance reduction methods

In this paper we discuss different Monte Carlo (MC) approaches to generate unit-rate Poisson processes and provide an analysis of Poisson bridge constructions, which form the discrete analogue of the well-known Brownian bridge construction for a Wiener process. One of the main advantages of these Poisson bridge constructions is that they, like the Brownian bridge, can be effectively combined with variance reduction techniques. In particular, we show here, in practice and proof, how we can achieve orders of magnitude efficiency improvement over standard MC approaches when generating unit-rate Poisson processes via a synthesis of antithetic sampling and Poisson bridge constructions. At the same time we provide practical guidance as to how to implement and tune Poisson bridge methods to achieve, in a mean sense, (near) optimal performance.

Automated RVE computations for evaluation of microdamage initiation in structural stitched non-crimp fabric composites

This contribution presents an approach to generate unit-cell models of structural stitched non-crimp fabric composites. Resin-rich regions and out-of-plane undulations caused by the stitching yarn are represented by initially straight discretised lines, while the stitching yarn is represented initially by a single discretised line which can be transformed into a multi-line configuration to model stitch cross-section variations. The discretised lines are shaped by geometrical operations with a contact treatment and boundary conditions being used to account, respectively, for line interactions and to control the shape of the bottom and top surfaces of each lamina respectively. A fiber-reinforced distorted zone with local variations in fiber volume fraction and fiber direction is modelled in cross-sections of the lamina in a post-processing step. Models for different stacking sequences and stitching parameters are then automatically generated and subsequently being in the stiffness calculation and damage initiation assessment using finite element based mechanical simulations.

Research on Carbon Emissions Measurement of Coal-Energy Chain Based on Life-Cycle Assessment Method

Thepaper proposes to established the measurement models of China's coal-energychain carbon emissions based on life-cycle analysis, Through comparing the source andsize of the greenhouse gas emissions of coal-energy chain, the paper gains the totalCO2 equivalent emissions of coal-fired power plant generate unit generatingcapacity during coal-energy chain by detailed calculations is 990.716331 gCO2/kwh.Among them, greenhouse gas emission of coal-fired power generation sector isthe main link in coal-energy chain and aslo the focus of regulation andemissino reduction. Finally puts forward some suggestions to achieve low-carbonpath of China'selectric power industry.