OpenPNM: A Pore Network Modeling Package

Pore network modeling is a widely used technique for simulating multiphase transport in porous materials, but there are very few software options available. This work outlines the OpenPNM package that was jointly developed by several porous media research groups to help address this gap. OpenPNM is written in Python using NumPy and SciPy for most mathematical operations, thus combining Python's ease of use with the performance necessary to perform large simulations. The package assists the user with managing and interacting with all the topological, geometrical, and thermophysical data. It also includes a suite of commonly used algorithms for simulating percolation and performing transport calculations on pore networks. Most importantly, it was designed to be highly flexible to suit any application and be easily customized to include user-specified pore-scale physics models. The framework is fast, powerful, and concise. An illustrative example is included that determines the effective diffusivity through a partially water-saturated porous material with just 29 lines of code

Analysis of Florida transit bus crashes

Through its National Center for Transit Research, and under contract with the Florida Department of Transportation, the Center for Urban Transportation Research (CUTR) was tasked with reviewing a sample of data on transit bus crash occurrence from selected Florida transit systems. The purpose of this review is to analyze changes in crash occurrence over time in relation to the effectiveness of training programs and capital safety improvements in reducing bus crashes. To this end, CUTR conducted two case studies utilizing occurrence data from Hillsborough Area Regional Transit Authority in Tampa (which implemented a refresher training course for bus operators) and LYNX Transit in Orlando (which replaced standard rear-end brake lights and turn signal and emergency flasher lights with high-density LED lights). The case studies examined the effect that these two particular safety campaigns had on postimplementation bus crash occurrence for the two properties. In addition to the promotion of safety, it is anticipated that this effort will be a preliminary step in the process of establishing a general list of safety campaigns, along with related costs and rule of thumb occurrence prevention effectiveness levels for each. A list of this nature will aid transit systems in Florida, the United States, and elsewhere in the selection of safety campaigns that will meet financial and safety goals

Analysis of Florida transit bus crashes

Through its National Center for Transit Research, and under contract with the Florida Department of Transportation, the Center for Urban Transportation Research was tasked with reviewing a sample of transit bus crash occurrence data from selected Florida transit systems. The purpose of the review is to analyze changes in crash occurrence data in relation to the effectiveness of training programs and capital safety improvements in reducing bus crashes. In addition to promoting safety, it is believed that this effort can serve as the first step in establishing a general list of safety campaigns, along with related costs and rule of thumb occurrence prevention effectiveness levels for each. A list of this nature will aid transit systems in Florida, the U.S., and elsewhere in the selection of safety campaigns that will meet their financial and safety goals

ANALYSIS OF FLORIDA TRANSIT BUS CRASHES

Through its National Center for Transit Research, and under contract with the Florida Department of Transportation, the Center for Urban Transportation Research (CUTR) was tasked with reviewing a sample of data on transit bus crash occurrence from selected Florida transit systems. The purpose of this review is to analyze changes in crash occurrence over time in relation to the effectiveness of training programs and capital safety improvements in reducing bus crashes. To this end, CUTR conducted two case studies utilizing occurrence data from Hillsborough Area Regional Transit Authority in Tampa (which implemented a refresher training course for bus operators) and LYNX Transit in Orlando (which replaced standard rear-end brake lights and turn signal and emergency flasher lights with high-density LED lights). The case studies examined the effect that these two particular safety campaigns had on postimplementation bus crash occurrence for the two properties. In addition to the promotion of safety, it is anticipated that this effort will be a preliminary step in the process of establishing a general list of safety campaigns, along with related costs and rule of thumb occurrence prevention effectiveness levels for each. A list of this nature will aid transit systems in Florida, the United States, and elsewhere in the selection of safety campaigns that will meet financial and safety goals

Establishing Accuracy of Watershed-Derived Pore Network Extraction for Characterizing In-Plane Effective Diffusivity in Thin Porous Layers

The work presented in this paper reports a versatile and customizable watershed-based pore network extraction tool. It was used to build pore networks from microscale computed tomography images of highly porous carbon-fiber materials. The extracted networks were used to characterize the structural properties (pore and throat diameter, and porosity distributions) and to predict the dry, in-plane, effective diffusivities of two commercial gas diffusion layers under various levels of compression. The relationship between compression and effective diffusivity was used to accurately predict experimental values available in the literature to within 10% of the reported values for compressive strains less than 0.55. Through this work, we validate the accuracy of watershed-derived pore networks for predicting in-plane effective diffusivities, further establishing the reliability of watershed-derived pore network modeling for fuel cell applications

A model-driven framework for developing android-based classic multiplayer 2D board games

Mobile applications and game development are attractive fields in software engineering. Despite the advancement of programming languages and integrated development environments, there have always been many challenges for software and mobile game developers. Model-Driven Engineering (MDE) is a software engineering methodology that applies software modeling languages for modeling the problem domain. In this paradigm, the code is to be automatically generated from the models by applying different model transformations. Besides, manipulating models instead of code facilitates the discovery and resolution of errors due to the high level of abstraction. This study presents an approach and framework, called MAndroid, that generates Android-based classic multiplayer 2D board games in a fully automated fashion, relying on the concepts of MDE. Structural and behavioral dimensions of the game are first modeled in MAndroid. Models are then automatically transformed to code that can be run on any mobile phone and tablet running Android 4.4 or higher. In order to evaluate the proposed approach, three board games are fully implemented. Additionally, applicability, developer performance, simplicity and attractiveness of MAndroid are evaluated through a set of questionnaires. MAndroid is also evaluated technically by comparing it to other Android game-development frameworks. Results demonstrate the benefits of using MAndroid.PGC2018-094905-B-I00 US-1264651 RTI2018-101204-B-C21 P18-FR-289