grasshopper | CORE studio The Brute Force component, now included in TT Toolbox (release 1.4 and newer), provides an alternative means of running optimization routines in your Grasshopper workflows. Optimization is used loosely here, as this tool is not using an algorithm to find the most optimal combination of sliders, but instead it solves ALL possible combinations of sliders that are connected to the input S. This component and method help to provide a means of looking at design space where you either want to see all possible permutations, or the total possible number of iterations is not so large that it warrants running the study in Galapagos or another optimization algorithm. Brute Force Grasshopper setup, with Listener component (all TT Toolbox components shown in orange). We have found this tool to work wonderfully when synced with our Galapagos Listener component (possibly hinting at a name change there). Taking that one step further, you may then write those values to Excel. Continue reading…
Architecture & Design News | LMN Architects Seattle LMN is excited to showcase model-building as part of the Seattle Architecture Foundation (SAF) 18th Annual Architectural Model Exhibit, running through Feb 5 at the Center for Architecture & Design at 1010 Western Ave. The theme of the exhibit is “Form,” interpreted in may ways by displays from more than 50 participants. LMN’s entry collects an array of 3D printed and CNC-routed study and presentation models, including a section of the Northgate Bicycle & Pedestrian Bridge (above). The Center for Architecture & Design is the new shared home for AIA Seattle, Seattle Architecture Foundation, Design in Public, and AIA Washington Council.
Global Elevation Data The wonderful SRTM project has the potential to provide global elevation data at up to 30m (1 arc-second) resolution, worldwide! For a description of the project, see the NASA/JPL SRTM site. Acquiring the data 90m (3 arc-second) elevation can be browsed and downloaded from the USGS EarthExplorer just look under "Digital Elevation: SRTM" or directly from their FTP site files are named according to latitude and longitude The GLCF is also a convenient way to browse and download SRTM data, in GeoTIFF format - for more information, see the GLCF SRTM page. Global 1km data: SRTM30 SRTM data was used to update the older USGS GTOPO30 global DEM, by averaging to 30 arc-sec resolution and replacing GTOPO30 heixels between the latitudes of 60° North and 56° South. History Drawbacks Improved SRTM CGIAR-CSI: SRTM site offers cleaned up, interpolated SRTM data Their "version 2" was based on SRTM V1. Tools
Savannah Simulations HKS Architects - Flattening the World of Parametric Design Matthew Kennedy Question: What do Frank Gehry, a car salesman and healthcare planners all have in common? Answer: Parametric Design First, let me explain what I mean by parametric design. Simply put, parametric design is a design approach that uses a list of form-generating criteria, or rules, resulting in creation of a three-dimensional building form that responds to the list of criteria and the associative impact the list of multiple criteria have upon one another. For example, a designer may be tasked with designing a room with a floor area between 120 and 160 square feet, with a skylight that has an area one quarter the size of the total floor area. The typical result of this process is easily seen in the architectural work of someone like Frank Gehry. But where do car salesmen come in? A good car salesman will ask you what your wants and needs are, (i.e., establishing your criteria) and will then generate several new car options that meet your criteria to achieve a sale.
The Routledge Companion for Architecture Design and Practice: Established ... Beware of using the UTCI approximation at extreme values - James Ramsden The UTCI is one of the more popular ways of estimating the perceived levels of thermal comfort in a space. In this previous post, I published some C# code that allows you to calculate the UTCI. This code accepts inputs of air temperature, mean radiant temperature, humidity and wind velocity, and returns an equivalent perceived temperature in degC. According to the original author here, it is only valid for certain input ranges, namely: Air speed must be betwee 0.5 and 17m/sMRT must be no less than 30C and no more than 70C of the air temperatureAir temperature must be between -50C and +50C I have been using this UTCI code quite a lot, assuming that the model was a suitable approximation if I kept within the specified input ranges. However, this is not always the case. Setting up a test To test, I built a very quick document in Grasshopper. This seems very reasonable. Where it sometimes goes wrong Here, we can take exactly the same example, but turn up the air temperature. My advice Like this:
Climate Data Trajectories | LMNts In an earlier post, we focused on simpler ways to interact with climate data. By using a flexible interface, a designer can potentially identify visual patterns and parametric relationships in weather files. Since the previous post, we’ve worked with LMN’s sustainability team and learned of a recent Building Green lecture regarding EPW files. The presentation was by Christoph Reinhart of MIT, and in it he referred to some compelling research by the University of Southampton: the Climate Change World Weather File Generator. This is a robust body of work which uses various models to predict and interpolate future climates based on global warming trends. With these weather files, an architect or engineer may run energy simulations for future climates in addition to current ones. With the Seattle example above, we can immediately observe relationships based on the University of Southampton’s research. In this case, it’s important to notice the ranges on the extents of the X and Y axes.