2,172 research outputs found

    Investigation of Coal Burst Potential Using Numerical Modeling and Rock Burst Indices

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    Coal bursts are typically defined as a rapid failure of coal or surrounding rock producing a violent release of energy and ejection of rock particles. This phenomenon is extremely complex and dynamic, and this has made it very difficult to predict. In the last decades, different researchers have aimed to understand the sources and mechanisms of failure of coal bursts. Various indices have been developed to assess the burst potential such as the Burst Potential Index (BPI), Energy Storage Rate, and the Strain Energy Density. Lately, numerical modeling has also been used as a tool to examine the rock deformation process and stress distribution at specific mining stages to forecast the burst potential. The present work presents a coupled methodology using numerical modeling and rock burst indices to estimate the burst potential of two coal pillars in a longwall gateroad system. The analysis was conducted using elastic and elastoplastic constitutive models. Results showed that the burst potential index increases when the pillars store sufficient elastic strain energy unless mitigation measures are taken to reduce the strain build-up

    Historic record of pasture soil water and the influence of the North Atlantic Oscillation in south-west England

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    The North Wyke Farm Platform is a National Capability funded by the Biotechnology and Biological Sciences Research Council in the UK (project number BB/J004308/1). Climate data were measured at the MIDAS Land Surface Station DLY3208 DEVON, UK, a weather station of the UK Meteorological Office. We would especially like to thank Dr Melannie Hartmann, NREL, Colorado State University for the inclusion and use of the DayCent model, and advice on preparation of model parameters.Peer reviewedPublisher PD

    SinEx DB: a database for single exon coding sequences in mammalian genomes

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    IndexaciĂłn: Web of Science.Eukaryotic genes are typically interrupted by intragenic, noncoding sequences termed introns. However, some genes lack introns in their coding sequence (CDS) and are generally known as 'single exon genes' (SEGs). In this work, a SEG is defined as a nuclear, protein-coding gene that lacks introns in its CDS. Whereas, many public databases of Eukaryotic multi-exon genes are available, there are only two specialized databases for SEGs. The present work addresses the need for a more extensive and diverse database by creating SinEx DB, a publicly available, searchable database of predicted SEGs from 10 completely sequenced mammalian genomes including human. SinEx DB houses the DNA and protein sequence information of these SEGs and includes their functional predictions (KOG) and the relative distribution of these functions within species. The information is stored in a relational database built with My SQL Server 5.1.33 and the complete dataset of SEG sequences and their functional predictions are available for downloading. SinEx DB can be interrogated by: (i) a browsable phylogenetic schema, (ii) carrying out BLAST searches to the in-house SinEx DB of SEGs and (iii) via an advanced search mode in which the database can be searched by key words and any combination of searches by species and predicted functions. SinEx DB provides a rich source of information for advancing our understanding of the evolution and function of SEGs.https://academic.oup.com/database/article-lookup/doi/10.1093/database/baw09

    GIS and Introductory Environmental Engineering: A Way to Fold GIS into an Already-Existing Course

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    The use of Geographical Information Systems (GIS) was implemented in the upper-division undergraduate technical elective Introduction to Environmental Engineering at Harvey Mudd College. Students integrated technical engineering skills, newly-learned geographical information system (GIS) skills, and the engineering design process, all in the context of the design of a debris flow barrier for a wilderness land parcel acquired by a local conservancy group. Junior and senior general engineering students, the majority of whom had no experience with GIS, were taught ArcGIS (a GIS mapping program) in the context of an Introductory Environmental Engineering course. Students learned how to map locations, find and download geo-encoded data, and join data layers, in order to graphically present toxic release hazards near their home towns. ArcGIS skills and knowledge were assessed through completion of homework problems, and through the students’ use of GIS data, software, and mapping during the design of a debris flow barrier for a local wilderness land parcel. Assignment #1 consisted of students learning how to map and characterize toxic releases near their hometowns; these data were downloaded into a spreadsheet for later use in the ArcGIS software package. In Assignment #2, the students used ArcGIS to analyze these data for the potential of water, soil, and atmospheric transport. In addition to the homework assignments, the student team completed a team-based design project involving the characterization of the wilderness site; acquiring relevant GIS data; and studying the physics of debris flow. The team produced alternative designs for the barrier and chose the best design by applying design metrics. The alternative designs and rationale for the chosen design were presented to the board of directors of the local conservancy group. Pre- and post-assessment data were gathered to analyze the success of the learning objectives. The design project in particular was useful in evaluating the students’ skill, knowledge and ease in using the GIS tools for analysis of the wilderness land parcel

    The anatomy of exhumed river-channel belts: Bedform to belt‐scale river kinematics of the Ruby Ranch Member, Cretaceous Cedar Mountain Formation, Utah, USA

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    Many published interpretations of ancient fluvial systems have relied on observations of extensive outcrops of thick successions. This paper, in contrast, demonstrates that a regional understanding of palaeoriver kinematics, depositional setting and sedimentation rates can be interpreted from local sedimentological measurements of bedform and barform strata. Dune and bar strata, channel planform geometry and bed topography are measured within exhumed fluvial strata exposed as ridges in the Ruby Ranch Member of the Cretaceous Cedar Mountain Formation, Utah, USA. The ridges are composed of lithified stacked channel belts, representing at least five or six re‐occupations of a single‐strand channel. Lateral sections reveal well‐preserved barforms constructed of subaqueous dune cross‐sets. The topography of palaeobarforms is preserved along the top surface of the outcrops. Comparisons of the channel‐belt centreline to local palaeotransport directions indicate that channel planform geometry was preserved through the re‐occupations, rather than being obscured by lateral migration. Rapid avulsions preserved the state of the active channel bed and its individual bars at the time of abandonment. Inferred minimum sedimentation durations for the preserved elements, inferred from cross‐set thickness distributions and assumed bedform migration rates, vary within a belt from one to ten days. Using only these local sedimentological measurements, the depositional setting is interpreted as a fluvial megafan, given the similarity in river kinematics. This paper provides a systematic methodology for the future synthesis of vertical and planview data, including the drone‐equipped 2020 Mars Rover mission, to exhumed fluvial and deltaic strata
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