scholarly journals Review of Soil-Structure Interaction Based on Continuum Mechanics Theory and Use of High Performance Computing

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 72
Author(s):  
Muhammad Rizwan Riaz ◽  
Hiroki Motoyama ◽  
Muneo Hori
Keyword(s):  
High Performance Computing ◽  
Continuum Mechanics ◽  
High Performance ◽  
Soil Structure ◽  
Soil Structure Interaction ◽  
Structure Interaction ◽  
Wide Range ◽  
Fidelity Model ◽  
Performance Computing ◽  
The Continuum

Recent achievement of research on soil-structure interaction (SSI) is reviewed, with a main focus on the numerical analysis. The review is based on the continuum mechanics theory and the use of high-performance computing (HPC) and clarifies the characteristics of a wide range of treatment of SSI from a simplified model to a high fidelity model. Emphasized is that all the treatment can be regarded as the result of the mathematical approximations in solving a physical continuum mechanics problem of a soil-structure system. The use of HPC is inevitable if we need to obtain a solution of higher accuracy and finer resolution. An example of using HPC for the analysis of SSI is presented.

High Performance Computing on Mobile Devices

2016 ◽  
pp. 334-348
Author(s):  
Atta ur Rehman Khan ◽  
Abdul Nasir Khan
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Wide Range ◽  
Performance Computing

Mobile devices are gaining high popularity due to support for a wide range of applications. However, the mobile devices are resource constrained and many applications require high resources. To cater to this issue, the researchers envision usage of mobile cloud computing technology which offers high performance computing, execution of resource intensive applications, and energy efficiency. This chapter highlights importance of mobile devices, high performance applications, and the computing challenges of mobile devices. It also provides a brief introduction to mobile cloud computing technology, its architecture, types of mobile applications, computation offloading process, effective offloading challenges, and high performance computing application on mobile devises that are enabled by mobile cloud computing technology.

scholarly journals MetaMap: An atlas of metatranscriptomic reads in human disease-related RNA-seq data

2018 ◽  
Author(s):  
LM Simon ◽  
S Karg ◽  
AJ Westermann ◽  
M Engel ◽  
AHA Elbehery ◽  
...  
Keyword(s):  
High Performance Computing ◽  
Human Disease ◽  
High Performance ◽  
Large Scale ◽  
Expression Patterns ◽  
Rna Seq ◽  
Wide Range ◽  
Eukaryotic Gene ◽  
Public Repositories ◽  
Performance Computing

AbstractBackgroundWith the advent of the age of big data in bioinformatics, large volumes of data and high performance computing power enable researchers to perform re-analyses of publicly available datasets at an unprecedented scale. Ever more studies imply the microbiome in both normal human physiology and a wide range of diseases. RNA sequencing technology (RNA-seq) is commonly used to infer global eukaryotic gene expression patterns under defined conditions, including human disease-related contexts, but its generic nature also enables the detection of microbial and viral transcripts.FindingsWe developed a bioinformatic pipeline to screen existing human RNA-seq datasets for the presence of microbial and viral reads by re-inspecting the non-human-mapping read fraction. We validated this approach by recapitulating outcomes from 6 independent controlled infection experiments of cell line models and comparison with an alternative metatranscriptomic mapping strategy. We then applied the pipeline to close to 150 terabytes of publicly available raw RNA-seq data from >17,000 samples from >400 studies relevant to human disease using state-of-the-art high performance computing systems. The resulting data of this large-scale re-analysis are made available in the presented MetaMap resource.ConclusionsOur results demonstrate that common human RNA-seq data, including those archived in public repositories, might contain valuable information to correlate microbial and viral detection patterns with diverse diseases. The presented MetaMap database thus provides a rich resource for hypothesis generation towards the role of the microbiome in human disease.

scholarly journals A Resilience-Based Methodology to Assess Soil Structure Interaction on a Benchmark Bridge

2020 ◽  
Vol 5 (11) ◽  
pp. 90
Author(s):  
Davide Forcellini
Keyword(s):  
Emergency Response ◽  
Soil Structure ◽  
Economic Recovery ◽  
Soil Structure Interaction ◽  
Public Administrators ◽  
Structure Interaction ◽  
Recovery Techniques ◽  
Wide Range ◽  
Key Parameter

The assessment of bridge functionality during earthquakes is fundamental in the evaluation of emergency response and socio-economic recovery procedures. In this regard, resilience may be considered a key parameter for decision-making procedures such as post-hazard event mitigations and recovery investments on bridges. The paper proposes a case study of a bridge configuration subjected to seismic hazard and aims to consider the effects of the soil–structure interaction on the recovery to various levels of pre-earthquake functionality. The principal outcome of the paper consists of calculating resilience as a readable finding that may have many applications for a wide range of stakeholders, such as bridge owners, transportation authorities and public administrators who can apply the outcomes in the assessment of the best recovery techniques and solutions.

scholarly journals Effects of temperature changes on voided slab integral abutment bridge

2021 ◽  
Vol 9 (1) ◽  
pp. 104-111
Author(s):  
Omer Awad Ibnouf ◽  
Eltayeb Hassan Onsa
Keyword(s):  
Temperature Change ◽  
Soil Structure ◽  
Load Transfer ◽  
Soil Structure Interaction ◽  
Integral Abutment ◽  
Integral Abutment Bridges ◽  
Structure Interaction ◽  
Anal Ysis ◽  
Linear Relationships ◽  
Wide Range

Integral Abutment Bridges (IABs) are joint-less bridges whereby the deck is monolithic with the abutment walls. IABs are outperforming their non-integral counterparts in economy and safety. Thermal effects introduce significantly complex and nonlinear soil-structure interaction into the response of abutment walls and piles of the IB. This paper carried out comprehensive study on voided slab system with five spans bridge each span is 17m long. The bridge has been modelled using SAP software. The abutments and pile foundations are modeled taking into consideration the soil-structure interaction. The study covered a design uniform temperature change of (10, 20, 30, 40 and 50) °C. To gain a better understanding of the mechanism of load transfer due to thermal actions, a 3D frame anal¬ysis is carried out on the above mentioned IABs. The results showed wide range of different linear and lightly non-linear relationships between temperature range, deformations and moments. The paper highlighted the serious effect of the deformations resulting from the repeated temperature change which causes drop in soil or bombing at the abutments ~ embankment contact zone.  

scholarly journals Analytical and Numerical Solutions to Selected Research Problems in Geomechanics and Geohydraulics

2021 ◽  
Vol 16 ◽  
pp. 222-231
Author(s):  
Sudip Basack ◽  
Ghritartha Goswami ◽  
Sanjay Nimbalkar
Keyword(s):  
Soil Structure ◽  
Numerical Solutions ◽  
Ground Improvement ◽  
Groundwater Hydraulics ◽  
Soil Structure Interaction ◽  
Numerical Techniques ◽  
Advanced Level ◽  
Structure Interaction ◽  
Wide Range ◽  
Research Problems

Geomechanical and geohydraulic engineering is a promising study area with several emerging research concerns. Most of such problems requires advanced level of mathematics to arrive at specific solutions. A wide range of approaches includes several analytical and numerical techniques for better understanding of such problems. In this paper, a few selected research problems are identified, and their solution techniques are demonstrated. The specific areas relevant to such problems are soil-structure interaction, ground improvement and groundwater hydraulics. This paper presents the problem identification, their mathematical solutions and results as well as pertinent analyses and useful interpretations to practice.

Boosting climate change research with direct access to high performance computers

2020 ◽  
Author(s):  
Maria Moreno de Castro ◽  
Stephan Kindermann ◽  
Sandro Fiore ◽  
Paola Nassisi ◽  
Guillaume Levavasseur ◽  
...  
Keyword(s):  
Climate Change ◽  
High Performance Computing ◽  
High Performance ◽  
System Modelling ◽  
Earth System ◽  
Climate Data ◽  
Climate Change Research ◽  
Detection And Attribution ◽  
Wide Range ◽  
Performance Computing

<p>Earth System observational and model data volumes are constantly increasing and it can be challenging to discover, download, and analyze data if scientists do not have the required computing and storage resources at hand. This is especially the case for detection and attribution studies in the field of climate change research since we need to perform multi-source and cross-disciplinary comparisons for datasets of high-spatial and large temporal coverage. Researchers and end-users are therefore looking for access to cloud solutions and high performance compute facilities. The Earth System Grid Federation (ESGF, https://esgf.llnl.gov/) maintains a global system of federated data centers that allow access to the largest archive of model climate data world-wide. ESGF portals provide free access to the output of the data contributing to the next assessment report of the Intergovernmental Panel on Climate Change through the Coupled Model Intercomparison Project. In order to support users to directly access to high performance computing facilities to perform analyses such as detection and attribution of climate change and its impacts, the EU Commission funded a new service within the infrastructure of the European Network for Earth System Modelling (ENES, https://portal.enes.org/data/data-metadata-service/analysis-platforms). This new service is designed to reduce data transfer issues, speed up the computational analysis, provide storage, and ensure the resources access and maintenance. Furthermore, the service is free of charge, only requires a lightweight application. We will present a demo on how flexible it is to calculate climate indices from different ESGF datasets covering a wide range of temporal and spatial scales using cdo (Climate Data Operators, https://code.mpimet.mpg.de/projects/cdo/) and Jupyter notebooks running directly on the ENES partners: the DKRZ (Germany), JASMIN (UK), CMCC(Italy), and IPSL (France) high performance computing centers.</p>

scholarly journals aRNApipe: A balanced, efficient and distributed pipeline for processing RNA-seq data in high performance computing environments

2016 ◽  
Author(s):  
Arnald Alonso ◽  
Brittany N. Lasseigne ◽  
Kelly Williams ◽  
Josh Nielsen ◽  
Ryne C. Ramaker ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Variant Calling ◽  
Supplementary Information ◽  
Sequence Variant ◽  
Rna Seq ◽  
Wide Range ◽  
Additional Processing ◽  
Computational Resources ◽  
Performance Computing

AbstractSummaryThe wide range of RNA-seq applications and their high computational needs require the development of pipelines orchestrating the entire workflow and optimizing usage of available computational resources. We present aRNApipe, a project-oriented pipeline for processing of RNA-seq data in high performance cluster environments. aRNApipe is highly modular and can be easily migrated to any high performance computing (HPC) environment. The current applications included in aRNApipe combine the essential RNA-seq primary analyses, including quality control metrics, transcript alignment, count generation, transcript fusion identification, alternative splicing, and sequence variant calling. aRNApipe is project-oriented and dynamic so users can easily update analyses to include or exclude samples or enable additional processing modules. Workflow parameters are easily set using a single configuration file that provides centralized tracking of all analytical processes. Finally, aRNApipe incorporates interactive web reports for sample tracking and a tool for managing the genome assemblies available to perform an analysis.Availability and documentationhttps://github.com/HudsonAlpha/aRNAPipe; DOI:10.5281/[email protected] informationSupplementary data are available at Bioinformatics online.

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