Dear Friends,
I write this spreadsheet that calculates Seismic Base Shear and Design Spectra for UBC 97, ASCE 7-10, Eurocode 8, NZS 1170.5-2004.
Please download and check.
I'm waiting for your comments.
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This manual has been prepared as a guideline for the manufacture of glass fiber reinforced concrete.
Note: MNL-130-10 will be effective for all GFRC (Group and Category G) PCI Plant Certification audits after July 1, 2010.
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Category: Guide (part 1), technical report (part 2) and state-of-the-art report (part 3)
Year: 2000
As a background for an extension of the CEB/FIP Model Code 1990 (MC 90) it delivered firstly Bulletin 4. Similarly to what has been done before in the field of High Strength / High Performance Concrete the present guide identifies the lacunae in the existing MC90 and proposes supplementary or alternative solutions to be applied for lightweight aggregate concretes. The technical report identifies the research needs resulting from those clauses of MC 90 which need amendment, and for which more basic research should provide a better understanding of mechanical, physical and chemical processes. The state-of-art report documents 33 application examples of projects world-wide.
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This report is the first of an intended series of three reports on structural protective systems against hazards.
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Special design considerations for precast prestressed hollow core floors. Guide to good practice
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Alternate Path Method in Progressive Collapse Analysis: Variation of Dynamic and Nonlinear Load Increase Factors
Author: McKay, A., Marchand, K., and Diaz, M. | Size: 1.64 MB | Format:PDF | Quality:Original preprint | Publisher: ASCE, Engineering Structures. Vol. 48. Issue 4. | Year: 2012 March | pages: 666-673
In performing alternative path analyses for checking the potential of a structure to progressive collapse, most designers often choose static procedures, which tend to be simpler and less labor demanding. As progressive collapse is a dynamic and nonlinear event, the load cases for the static procedures require the use of factors to account for inertial and nonlinear effects. A number of inconsistencies have been identified in the way the existing guidelines applied dynamic and nonlinear load factors to their static approaches. As part of an existing effort to update the existing guidelines, this study looked into the behavior of a variety of reinforced-concrete and steel moment-frame buildings to investigate the magnitude and variation of the dynamic and nonlinear load increase factors. The study concluded that the factors in the existing guidelines tend to yield overly conservative results, which often translate into expensive designs and retrofits. This study identified new load increase factors and proposes a new approach to utilize these factors when performing alternative path analyses for progressive collapse.
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AutoCAD CAD software takes design further
Design and shape the world around you with the powerful, connected design tools in Autodesk® AutoCAD® software. Create stunning 3D designs, speed documentation, and connect with the cloud to collaborate on designs and access them from your mobile device.
AutoCAD 2014 System Requirements:
For 32-bit AutoCAD 2014
* Windows® 8 Standard, Enterprise, or Professional edition, Windows® 7 Enterprise, Ultimate, Professional, or Home Premium edition (compare Windows versions), or Windows XP® Professional or Home edition (SP3 or later) operating system
* For Windows 8 and Windows 7: Intel® Pentium® 4 or AMD Athlon™ dual-core processor, 3.0 GHz or higher with SSE2 technology
* For Windows XP: Pentium 4 or Athlon dual-core processor, 1.6 GHz or higher with SSE2 technology
* 2 GB RAM (4 GB recommended)
* 6 GB free disk space for installation
* 1,024 x 768 display resolution with true color (1,600 x 1,050 recommended)
* Microsoft® Internet Explorer® 7 or later web browser
* Install from download or DVD
For 64-bit AutoCAD 2014
* Windows 8 Standard, Enterprise, or Professional edition, Windows 7 Enterprise, Ultimate, Professional, or Home Premium edition (compare Windows versions), or Windows XP Professional (SP2 or later)
* Athlon 64 with SSE2 technology, AMD Opteron™ processor with SSE2 technology, Intel® Xeon® processor with Intel EM64T support and SSE2 technology, or Pentium 4 with Intel EM64T support and SSE2 technology
* 2 GB RAM (4 GB recommended)
* 6 GB free space for installation
* 1,024 x 768 display resolution with true color (1,600 x 1,050 recommended)
* Internet Explorer 7 or later
* Install from download or DVD
Additional requirements for large datasets, point clouds, and 3D modeling (all configurations)
* Pentium 4 or Athlon processor, 3 GHz or greater, or Intel or AMD dual-core processor, 2 GHz or greater
* 4 GB RAM or more
* 6 GB hard disk space available in addition to free space required for installation
* 1,280 x 1,024 true color video display adapter 128 MB or greater, Pixel Shader 3.0 or greater, Microsoft® Direct3D®-capable workstation-class graphics card
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The Converter software is plug-in for Autodesk Revit. It works equally well for 64-bit and 32-bit platforms, and it requires Revit API, .Net framework 3.5 and Microsoft Excel preinstalled. (If you don't have MS Excel but you are interested in our software we can create personal assembly for your business, please contact us for more information)
Converter can transfer 3D model from Autodesk Revit (2009, 2010, 2011) to CSI SAFE 12.x.x.
Elements which only belong to adjacent floors can be converted at the same time. The following instances are converted:
Beams
Columns (with local axis rotation parameter)
Slabs and curved edge slabs (drop panels and slab differ) with openings
Walls and curved walls
Grids
Groups of elements
There is possibility to adjust boundary elevations for columns and walls.
Revit 3D model can be transfered to Excel spreadsheet or SAFE *.f2k file.
Default design parameters can be assign during conversion:
Concrete and rebar materials (Materials database can be easily reset or adjusted with using Microsoft Excel).
Cover layers for slabs and beams
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Author: Laura Kong, Ian Robertson, Harry Yeh | Size: 6 MB | Format:PDF | Quality:Unspecified | Publisher: - | Year: - | pages: 28 | ISBN: -
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Pilot Study on current code tsunami design
Lessons from Indian Ocean Tsunami
FEMA ATC-64 Project
NEESR-SG Proposal - Performance Based Tsunami Engineering, PBTE
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Rainfall and sampling uncertainties: A rain gauge perspective
Author: Gabriele Villarini, Pradeep V. Mandapaka, Witold F. Krajewski, and Robert J. Moore | Size: 733 KB | Format:PDF | Quality:Unspecified | Publisher: Wiley | Year: 2008 | pages: 12
Rain gauge networks provide rainfall measurements with a high degree of accuracy at
specific locations but, in most cases, the instruments are too sparsely distributed to
accurately capture the high spatial and temporal variability of precipitation systems. Radar
and satellite remote sensing of rainfall has become a viable approach to address this
problem effectively. However, among other sources of uncertainties, the remote-sensing
based rainfall products are unavoidably affected by sampling errors that need to be
evaluated and characterized. Using a large data set (more than six years) of rainfall
measurements from a dense network of 50 rain gauges deployed over an area of about
135 km2 in the Brue catchment (south-western England), this study sheds some light on
the temporal and spatial sampling uncertainties: the former are defined as the errors
resulting from temporal gaps in rainfall observations, while the latter as the uncertainties
due to the approximation of an areal estimate using point measurements. It is shown that
the temporal sampling uncertainties increase with the sampling interval according to a
scaling law and decrease with increasing averaging area with no strong dependence on
local orography. On the other hand, the spatial sampling uncertainties tend to decrease for
increasing accumulation time, with no strong dependence on location of the gauge
within the pixel or on the gauge elevation. For the evaluation of high resolution satellite
rainfall products, a simple rule is proposed for the number of rain gauges required to
estimate areal rainfall with a prescribed accuracy. Additionally, a description is given of
the characteristics of the rainfall process in the area in terms of spatial correlation
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Spatial uncertainty to determine reliable daily precipitation maps
Author: Adrian Chappell, Luigi Renzullo, and Malcolm Haylock | Size: 6.5 MB | Format:PDF | Quality:Unspecified | Publisher: Wiley | Year: 2012 | pages: 14
Daily precipitation observations are commonly used with related variables to make
estimates at unsampled locations to provide maps and gridded data for hydrological and
climate model applications. Uncertainty in the way gridded data (maps) are prepared, given
the available information, is rarely considered. Over a study period of one year, we used
conditional simulations to produce multiple equally likely realizations of Australian
precipitation per day. Together those realizations represented an ensemble measure of
spatial uncertainty for rainfall for a given day. An independent gauge data set had values
within the 5th–95th percentile uncertainty range 94% of the time. Combined with other
measures they confirmed the reliability of the ensemble spatial uncertainty ranges. We
compared several established mapping techniques to an independent gauge data set using
local error statistics and to the spatial uncertainty maps. Those statistics showed little
difference between the mapping techniques and overall assessment of performance was
largely dependent on skill scores. However, the mapping techniques were different when
compared to the spatial uncertainty ranges. These findings support the assertion that
assessment of mapping techniques using local error statistics is insensitive to the
uncertainty in producing the maps as a whole. We conclude that uncertainty information in
precipitation estimates should not be overlooked when comparing precipitation estimation
techniques. The focus of performance assessment is traditionally on local error estimates,
and this tradition diverts attention away from the issues of uncertainty and reliability.
Reliable uncertainty characterization is necessary for the rigorous detection of spatial
patterns and longer time series trends in precipitation
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A method for delineating and estimating rainfall fields
Author: C. BARANCOURT AND J. D. CREUTIN | Size: 1.1 MB | Format:PDF | Quality:Unspecified | Publisher: Wiley | Year: 1992 | pages: 12
A geostatisticaml odelh as beend efinedt o deal with intermittentr ainfall fields. The intermittencyi s
representedb y a binary randomf unction,w hile, insidet he rainy areas, the rainfall variability is
rendered by an intrinsic random function. A rain gage data set from the Cevennes region (France) is
usedt o infer the model.T he inner variabilityi s independenot f the intermittency,t hereby allowing a
simplee stimationre lyingo n the separatek rigingo f theset wo componentsC. omparisono f the rainfall
assessmentms adeb y a classicg lobalk riginga nd the proposedm ethods howsi ts clear superiorityf or
delineating and estimating rainfall fields.
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