algorithmic modeling for Rhino

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Blog Post: 40% of Smart Geometry 2013 Cluster Champions have a Profile on Grasshopper3d.com: I was going to post that there are several Cluster Champions for the …; Added by Luis Fraguada at 11:14am on January 8, 2013

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Topic: NBBJ releases Human UI -- now available for download: . Today we have gone live, and the plugin is available on Food4Rhino. You will find an installer package, sample files, and a demo video on getting started: http://www.food4rhino.com/project/human-ui Visit the Bitbucket Repo and poke around in the code: https://bitbucket.org/andheum/humanui Check out today's coverage in Architect Magazine: http://www.architectmagazine.com/technology/nbbj-releases-human-ui-to-bring-parametric-modeling-to-the-masses_o Finally join our group and ask any questions or post any comments here: http://www.grasshopper3d.com/group/human-ui See below for detailed description! ---------------------------------- Human UI Primary Development by: Lead Developer: Andrew Heumann / andheum / @andrewheumann Product Manager: Marc Syp / marcsyp / @mpsyp Contributing Developer: Nate Holland / nateholland / @_NateHolland Gone are the days of faking a user interface by laying out sliders and text panels and hiding wires on the Grasshopper canvas. Human UI interfaces are entirely separate from the Grasshopper canvas and leverage the power of Windows Presentation Foundation (WPF), a graphical subsystem for rendering user interfaces in the Windows environment. OLD NEW In other words: Human UI makes your GH definition feel like a Windows app. Create tabbed views, dynamic sliders, pulldown menus, checkboxes, and even 3D viewports and web browsers that look great and make sense to anyone--including designers and clients with no understanding of Grasshopper. Human UI has been in development at NBBJ for over a year, as part of a larger NBBJ Design Computation initiative to deliver our tools internally as Products -- with fully automated installation, managed dependencies, analytics, documentation, and “magical” user experience. Human UI has been a huge component of the user experience part of this puzzle, and we are excited to share it with the larger Grasshopper community so that others can benefit from it and contribute to its development. The initial release of Human UI is accompanied by a few simple examples to get you started, but we have developed sophisticated user interfaces with these tools at NBBJ and will slowly be rolling out more advanced examples. We also look forward to opening up the development to the community and seeing what new features and paradigms we can add. Download the plugin at Food4Rhino and get started building Custom UIs for Grasshopper right away! We are happy to answer any questions or field discussion in the dedicated Grasshopper Group. Please join us! Join the Grasshopper Group http://www.grasshopper3d.com/group/human-ui Download the plugin + sample files http://www.food4rhino.com/project/human-ui Visit the Bitbucket Repo https://bitbucket.org/andheum/humanui We look forward to seeing where this project takes you, please share your projects made with Human UI! Sincerely, Design Computation Leadership Team, NBBJ …; Added by NBBJ Architects at 11:18am on February 2, 2016

Topic: Update + Happy Yalda!: t. So here we go! 1. Honeybee is brown and not yellow [stupid!]... As you probably remember Honeybee logo was initially yellow because of my ignorance about Honeybees. With the help of our Honeybee expert, Michalina, now the color is corrected. I promised her to update everyone about this. Below are photos of her working on the honeybee logo and the results of her study. If you think I'm exaggerating by calling her a honeybee expert you better watch this video: Thank you Michalina for the great work! :). I corrected the colors. No yellow anymore. The only yellow arrows represent sun rays and not the honeybee! 2. Yellow or brown, W[here]TH Honeybee is? I know. It has been a long time after I posted the initial video and it is not fun at all to wait for a long time. Here is the good news. If you are following the Facebook page you probably now that the Daylighting components are almost ready. Couple of friends from Grasshopper community and RADIANCE community has been helping me with testing/debugging the components. I still think/hope to release the daylighting components at some point in January before Ladybug gets one year old. There have been multiple changes. I finally feel that the current version of Honeybee is simple enough for non-expert users to start running initial studies and flexible enough for advanced users to run advanced studies. I will post a video soon and walk you through different components. I think I still need more time to modify the energy simulation components so they are not going to be part of the next release. Unfortunately, there are so many ways to set up and run a wrong energy simulation and I really don’t want to add one new GIGO app to the world of simulation. We already have enough of that. Moreover I’m still not quite happy with the workflow. Please bear with me for few more months and then we can all celebrate! I recently tested the idea of connecting Grasshopper to OpenStudio by using OpenStudio API successfully. If nothing else, I really want to release the EnergyPlus components so I can concentrate on Grasshopper > OpenStudio development which I personally think is the best approach. 3. What about wind analysis? I have been asked multiple times that if Ladybug will have a component for wind study. The short answer is YES! I have been working with EFRI-PULSE project during the last year to develop a free and open source web-based CFD simulation platform for outdoor analysis. We had a very good progress so far and our rockstar Stefan recently presented the results of the work at the American Physical Society’s 66th annual DFD meeting and the results looks pretty convincing in comparison to measured data. Here is an image from the presentation. All the credits go to Stefan Gracik and EFRI-PULSE project. The project will go live at some point next year and after that I will release the Butterfly which will let you prepare the model for the CFD simulation and send it to EFRI-PULSE project. I haven’t tried to run the simulations locally yet but I’m considering that as a further development. Here is how the component and the logo looks like right now. 4. Teaching resources It has been almost 11 months from the first public release of Ladybug. I know that I didn't do a good job in providing enough tutorials/teaching materials and I know that I won’t be able to put something comprehensive together soon. Fortunately, ladybug has been flying in multiple schools during the last year. Several design, engineering and consultant firms are using it and it has been thought in several workshops. As I checked with multiple of you, almost everyone told me that they will be happy to share their teaching materials; hence I started the teaching resources page. Please share your materials on the page. They can be in any format and any language. Thanks in advance! I hope you enjoyed/are enjoying/will enjoy the longest night of the year. Happy Yalda! Cheers, -Mostapha …; Added by Mostapha Sadeghipour Roudsari to Ladybug Tools at 3:54pm on December 21, 2013

Topic: Writing a 3dm File using Visual Studio C#: S2015 Community but I haven't been able to find the documentation for it anywhere (my google-fu is not strong). I can get the file to compile and it writes an empty 3dm document, but I want to add geometry to the document before it is written. Here is my code as it stands, I'm quite new to programming and very stuck! Any help would be appreciated. if I could get some hints as to how to include "onepoint" in the file I'd be very grateful, and I'd figure out how to write the rest from there. Thanks in Advance, Henry using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using Rhino.Geometry; using Rhino.FileIO; using Rhino.Collections; using Rhino; namespace NurbsSurface { class Program { static void Main(string[] args) { string output = "C:/Tryitout.3dm"; File3dm nurbssurface = new File3dm(); 　 Point3d onepoint = new Point3d(0, 0, 0); nurbssurface.Write(output, 0); } } }…; Added by Henry Jarvis at 12:28am on October 7, 2015

Blog Post: A Simple simple Grasshopper-OpenOffice connector component

Well... as part of learning is also showing and discussing, I have uploaded this chunk of code that actually works.

It came out from the idea of developing an example where the theoretical…

Added by Rabindranath Andujar at 7:10am on July 15, 2011

Topic: Release Notes - Ladybug 0.0.65 and Honeybee 0.0.62: n common tasks like updating GH definitions, viewing images on the GH canvass, and augmenting existing study-types. Most of the improvements to Honeybee have been in the making for a while and are just getting into the spotlight with this release. Notably, a number of improvements have been made to support large-scale full building energy models, including fixes to memory issues with large models, better components for splitting building masses into zones, and the ability to store HBZones in external files. Additionally, the THERM workflows have gotten a boost and these simulations can now be run directly from the Grasshopper canvass. As always you can download the new release from Food4Rhino. Make sure to remove the older version of Ladybug and Honeybee before you do so and update your scripts. So, without further adieu, here is the list of the new capabilities added with this release: LADYBUG Better Method for Updating Old Grasshopper Files - As many of you have come to realize, Ladybug + Honeybee is updated on a fairly regular basis, with a stable release roughly every 6 months and a github version that never ceases to improve itself on a weekly basis. For this reason, we realize that updating old Grasshopper definitions to use recent components is a challenge for many of us. While we’ve had some methods for this in the past, there were always hiccups, particularly when it came to components that had new inputs/outputs since the previous version. Accordingly, Mostapha has added a new “Ladybug_Update File” component that will automatically update any Grasshopper Definition to be synchronized with the version of Ladybug+Honeybee that is currently in your toolbar (aka. the components in your userobjects folder). If there is a component that has new inputs/outputs since the time you built the definition, it will be automatically circled in red in your GH definition and a newer version of the component will be automatically added right next to this component: While you still have to do some manual connecting of inputs to the newer component in this case, it should be much faster than our older methods and will hopefully help your old definitions survive long into the future! EPWmap Now includes OneBuilding Files - Mostapha has added a number of new features to the EPWmap web interface that the “Download Ladybug” component connects to. Among the improvements are a color wheel that quickly shows you how hot, cold, and comfortable a given climate is and, perhaps more importantly, there is now support for EPW files sourced from OneBuilding. With the addition of many more weather files, you should now be able to use Ladybug with ease for more locations across the planet. We should also note that the “Open EPW and STAT” component that downloads/unzips files from a URL now supports OneBuilding URLs. New Image Viewer Component - Mingbo Peng has graced Ladybug with a fantastic new “Image Viewer” component that takes a given image file on one’s machine and displays it on the Grasshopper canvas. It also enables one to pull color data off of the image with ease by simply clicking on the pixel of the image one is interested in. This new component is useful for a wide variety of cases, including the viewing of screenshots after they have been taken with the “Ladybug_Capture View” or “Ladybug_Render View” components. However, many of you will likely recognize it as most immediately useful in workflows involving image-based Honeybee Daylight (Radiance) simulations. This is particularly true as Migbo has built-in the capability to read many image file types, including PNG, JPEG, GIF, TIFF and the High Dynamic Range (.HDR) image files that Radiance Outputs: The following video gives a quick overview of the Image Viewer’s capabilities: The new component can be found under the Ladybug_Extra tab and I think I speak for us all in saying thank you Mingbo for this great component! New Sun Shades Calculator Released Under WIP - After over a year of software development and nearly a career's worth of geometric math development, a joint effort between Abraham Yezioro and Antonello Di Nunzio has produced a new sun shade design component that can be described as nothing short of “magical.” Based on a similar principle to the current “Ladybug_Shading Designer,” the new component takes an input of sun vectors and produces shade geometries that can block the vectors. However, in comparison to the shading designer, the range of shade options that are available in this new component is truly staggering, ranging from classic overhangs, louvers and fins to pergolas and custom shade surfaces. Perhaps more importantly, the calculation methods used by this new component are faster and more reliable. It can currently can be found under the WIP section of Ladybug and it will continue to evolve in new versions of Ladybug. Renewable Component Now Support Sandia and CEC Photovoltaics Modules - Polishing off his many contributions to the “Renewables” section of Ladybug, Djordje Spasic has added support for a couple more ways of defining Photovoltaic modules for renewables estimation. Specifically, the Ladybug WIP section now includes components to import modules defined with the California Energy Commission (CEC) and Sandia Labs. HONEYBEE Support for OpenStudio 2.x - A few months ago, the National Renewable Energy Lab (NREL) released a stable version of OpenStudio version 2, which included a number of improvements in stability and available features. This stable release of Honeybee is built to work with the new version of OpenStudio and, in the coming months, Honeybee will be adding a few more capabilities to its OpenStudio workflows to support v2.x’s new capabilities. Most notable among these will be support for OpenStudio measures. Measures are short scripts written in Ruby using OpenStudio’s SDK to quickly edit and change OpenStudio models. They are fundamental to visions of OpenStudio as a flexible energy modeling interface and to Honeybee’s goals of being a collaborative interface between the architectural and engineering industries. Stay tuned for the next release for many of these new capabilities! Critical Memory Issue Fixed for Large Energy Models - A number of you wonderful members of our community have been aware of computer memory issues with large Honeybee models for some time (examples: 1, 2, 3, 4). Namely, a model that is larger than 50 zones could quickly eat up 16 GBs of memory and change Honeybee from a fast-flying insect to something more reminiscent of a snail. We are happy to say that, after a much longer time than it should have taken us, we finally identified and fixed the issue. In this version of Honeybee, such large models can now be created using less than 2% of the memory and time previously. Thanks to all of you who made us aware of this and hopefully you will now reap the rewards of your struggle. Split Building Mass Component Getting a Makeover - Many of you veteran Ladybug users will recognize Saeran Vasathakumar as one of the original contributors of Ladybug who added components for solar fans and envelopes years ago. Now he’s back with new components to split a building mass into zones that are truly revolutionary in their speed and methodology. Saeran has divided the new capabilities into two components (one for floor-by-floor subdivision and another for core-perimeter subdivision) and they both can be found under the WIP section of this release. In this WIP version, core-perimeter thermal zones can only be generated for all convex and very simple concave geometries. Most concave geometries and geometries with holes (or courtyards) in them will fail. However it can handle even very complex convex geometries with speed and ease. You can expect the component to start accommodating concave/courtyard geometries very soon. Load / Dump HB Objects to File - Keeping in line with the support of large, full building energy models, this release includes full support for two components that can dump and load any HBObjects to a standalone file. All information about HBzones can go into this file including custom constructions, schedules, loads, natural ventilation, shading devices, etc. You can then send the resulting .HB file to someone else and they can load up the same exact zones in another definition. This also makes it possible to have one Grasshopper file for generating the zones and running the simulation and another GH definition to import results and color zones/surfaces with those results, make energy balance graphics, etc. Write ViewFactorInfo to File - After many of you asked for it, the _viewFactorInfo that is output from the “Honeybee_View Factor” component can now be written out to an external file using the same Load / Dump HB Objects components cited above. For those of you who have worked with the comfort map workflows, you probably already know that calculating these view factors is one of the most time consuming portions of building a microclimate map. Having to re-run this calculation each time you want to open up the Grasshopper script is a nuisance and, thanks to this new capability, you should only have to run it once and then store your results in an external .HB file. Transform Honeybee Components Modified for Large Model Creation - Many large buildings today are made up of copies of the same rooms repeated over and over again across multiple floors, or along a street, etc. Accordingly, one can imagine that the fastest way to create a full building energy model of such buildings is to simply move and copy the same zones several times. This is what a new set of edits to the Honeybee Transform components is aimed at supporting by allowing one to build a custom set of zones, translate them several times with a Honeybee_Transform component, then solve adjacencies on all zones to make a complete energy model. Central Plants Available on HVAC Systems - While Honeybee has historically supported the assigning of separate HVAC systems to different groups of zones, each HVAC was always an entirely new system from the ground up. So a building with separate VAV systems for each floor would be modeled with a different chiller and boiler for each floor. While this can be the case sometimes, it is more common to have only one chiller and boiler per building but separate air systems for each floor. The new ‘centralPlant_’ options on the Honeybee coolingDetails and heatingDetails enable you to create this HVAC structure by making a single boiler and chiller for any HVAC systems that have this option toggled on. Furthermore, in the case of VRF systems, you can also centralize the ventilation system, using the grouping of zones around a given HVAC to assign which zone terminals are connected to a given heat pump. More HVAC Templates Added - As the profession continues to push the industry standard towards lower-energy HVAC systems, Honeybee intends to keep up. In this release, we have included a few more templates for modeling advanced HVAC systems including Radiant Ceilings, Radiant Heated Floors + VAV Cooling, and Two Ground Source Heat Pump (GSHP) systems. Variable Refrigerant Flow (VRF) systems have also gotten a large boost as it is now possible to model these systems with more efficient water-source loops. The next release will include the ability to model central ground source systems that use hydronics for heating cooling delivery. Run THERM Simulations Directly from Grasshopper - Anyone who has used the THERM workflow in the past likely realized that, while Honeybee can write the THERM file, you would still have to open model in THERM yourself and hit “simulate” to get results. Now that LBNL has started a transition to becoming more open, they have graciously allowed free access for everyone to run THERM from a command line. What this means for Honeybee is that you no longer need to open THERM at all in order to get results and you can now work entirely in Rhino/Grasshopper. This also opens up the possibility of long parametric runs with THERM models since you can now automatically run simulations and collect results as you animate sliders, use galapagos, etc. A special thanks is due to the LBNL team for exposing this feature, including Setphen Selkowitz, Christian Kohler, Charlie Curcija, Eleanor Lee, and Robin Mitchell. All Options Exposed for THERM Boundary Conditions - To finish off the full implementation of THERM in Honeybee, a final component has been added called “Honeybee_Custom Radiant Environment.” This component completes the access to all boundary condition options that THERM offers, including separate radiant and air temperatures, different view factor models, and the specification of additional heat flux (which is typically used to account for solar radiation). Improvements to Schedule-Generating Components - Many of you who have watched the Honeybee energy modeling video tutorials have likely gotten in the habit of using CSV schedules for everything. While this is definitely one valid way to work, it is not always the most efficient since simple schedules can be specified much more cleanly to EnergyPlus/OpenStudio and the use of CSVs can also make it difficult to share your energy models (since you have to send CSV files along with the schedules themselves). This release adds two new schedule components that should take care of a lot of cases where CSV schedules were unnecessary. The new “Constant Schedule” component allow you to quickly make a schedule that is set at a single value or a set of constantly repeating 24-hour values. The second component allows you to create “Seasonal Schedules” by connecting “week schedules” from the other schedule components along with analysis periods in which these seek schedules operate. Together, these will hopefully make our schedule-generating habit a bit better as a community. Lastly, many of you may know Mingbo Peng as the current maintainer of the Design Explorer web interface and the Colibri components under TTToolbox. Both of these tools have been revolutionary in enabling “brute force” studies of design spaces (aka. Grasshopper scripts where one runs all combinations of a set of sliders). Now, Mingbo has graced Ladybug with the aforementioned image viewer component and it is with pride that we welcome Mingbo Peng to the development team! As always let us know your comments and suggestions.Cheers! The Ladybug Tools Development Team …; Added by Chris Mackey to Ladybug Tools at 7:30pm on July 30, 2017

Topic: The Marketing Process Of Lion King Shirt: A Prominent POD Company: ng users first across all business aspects enables them to thrive in a crowded market. From extensively researching customer needs before new product launches to optimizing shopping touchpoints for seamless omnichannel convenience, they intentionally aligns with buyer desires. This blog will explore how the company’s user-centric strategies, including research-driven innovation, frictionless shopping experiences, and targeted digital engagement, create meaningful customer connections that drive growth. By outlining the approach of this brand, this blog will help other e-commerce businesses can gain ideas and inspiration on how to place customers at the heart of their operations for long-term loyalty and sales. Marketing is the catalyst that drives business growth. Research Drives Innovation At this company, continuous market research and in-depth data analytics fuel innovation across all product launches and marketing campaigns. The dedicated marketing team studies the latest trends, customer feedback, and performance data to understand their target audience’s wants, needs, and preferences. These crucial insights directly guide and inform the development of new product collections and designs that will resonate strongly with customers and tap into rising demand. A prime example of their research-driven approach was the creation of trendy 1990s vintage collection. Extensive research assessed current fan preferences across various online communities and forums. Common requests and enthusiasm for more vintage, distressed t-shirt designs with cool, edgy styling were observed. 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Customer retention and loyalty also strengthen as Lion King Shirt diligently optimizes based on purchase data and feedback. For example, offering integrated alternate payment options like PayPal and Amazon Pay streamlines checkout and simplifies purchases for many recurring customers. With omnichannel coordination, the t-shirt brand transforms once-isolated touchpoints into a streamlined ecosystem focused on convenience. This empowers customers to engage with the brand anywhere, anytime effortlessly. By obsessing over a smooth experience across all channels, the company builds meaningful connections that turn shoppers into lifelong fans. Marketing is the engine that propels companies forward. Targeted Digital Strategy Of Lion King Shirt This store executes a targeted digital strategy utilizing key channels like SEO, paid ads, influencer campaigns, and email marketing. Each channel plays a specific role in systematically attracting high-intent customers. 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Email subscribers receive personalized recommendations timed to these trends, priming them for purchase. This interconnected digital strategy thoughtfully engages shoppers at each touchpoint in their journey. SEO and influencers pique awareness, while email and ads convert interest into sales. Ultimately, a flywheel effect takes hold, where new audiences discovered through one channel bring in more customers when activated through other channels. This targeted, data-led approach is the engine fueling digital growth. For fellow e-commerce companies, customer-focused strategies should spark ideas and models to evaluate and elevate the total user experience. In particular, smaller brands can apply many of the data-driven marketing tactics covered like surveys, testing, and optimization, without substantial resources. Above all, Lion King Shirt exemplifies how fixating on the user experience helps unify strategies across marketing, product development, operations and more to deliver real, lasting value to customers. Brands of any size or vertical that consistently put users first will earn loyalty and see sustainable growth unfold through word-of-mouth and retention. The POD company provides an inspirational case study demonstrating the commercial impact of true customer centricity. Keeping the user front and center fosters convenience, personalization, and relevant innovations directly driving revenues. But even more critically, it cements lasting human relationships with customers who will enthusiastically stick around for the long-term brand journey. For 21st-century e-commerce success stories, the customer experience remains at the heart.…; Added by ChrisPatt to Jackalope at 3:43am on March 27, 2026

Page: Tutorials: Introduction to Grasshopper Videos by David Rutten. Wondering how to get started with Grasshopper? Look no further. Spend an some time with the creator of Grasshopper, David Rutten, to learn the; Added by Scott Davidson at 3:50pm on May 12, 2009

Topic: Butterfly/Openfoam floating issue: Mark/*---------------------------------------------------------------------------*\| ========= | || \\ / F ield | OpenFOAM: The Open Source CFD Toolbox || \\ / O peration | Version: v1612+ || \\ / A nd | Web: www.OpenFOAM.com || \\/ M anipulation | |\*---------------------------------------------------------------------------*/Build : v1612+Exec : buoyantBoussinesqSimpleFoam -parallelDate : May 22 2017Time : 10:18:58Host : "default"PID : 2839Case : /home/ofuser/workingDir/butterfly/simple_hvacnProcs : 4Slaves : 3("default.2840""default.2841""default.2842")Pstream initialized with:floatTransfer : 0nProcsSimpleSum : 0commsType : nonBlockingpolling iterations : 0sigFpe : Enabling floating point exception trapping (FOAM_SIGFPE).fileModificationChecking : Monitoring run-time modified files using timeStampMaster (fileModificationSkew 10)allowSystemOperations : Allowing user-supplied system call operations// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //Create timeCreate mesh for time = 0SIMPLE: convergence criteriafield nut tolerance 0.0001field p_rgh tolerance 0.0001field k tolerance 0.0001field U tolerance 0.0001field T tolerance 0.0001field epsilon tolerance 0.0001field alphat tolerance 0.0001Reading thermophysical propertiesReading field TReading field p_rghReading field UReading/calculating face flux field phiSelecting incompressible transport model NewtonianCreating turbulence modelSelecting turbulence model type RASSelecting RAS turbulence model RNGkEpsilonRNGkEpsilonCoeffs{Cmu 0.0845;C1 1.42;C2 1.68;C3 -0.33;sigmak 0.71942;sigmaEps 0.71942;eta0 4.38;beta 0.012;}Reading field alphatReading gReading hRefCalculating field g.hNo MRF models presentRadiation model not active: radiationProperties not foundSelecting radiationModel noneNo finite volume options presentStarting time loopTime = 1smoothSolver: Solving for Ux, Initial residual = 1, Final residual = 0.06427477, No Iterations 4smoothSolver: Solving for Uy, Initial residual = 1, Final residual = 0.06226344, No Iterations 4smoothSolver: Solving for Uz, Initial residual = 1, Final residual = 0.03950103, No Iterations 3smoothSolver: Solving for T, Initial residual = 1, Final residual = 0.03671111, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 1, Final residual = 0.008356878, No Iterations 86DICPCG: Solving for p_rgh, Initial residual = 0.07888434, Final residual = 0.0006831407, No Iterations 9DICPCG: Solving for p_rgh, Initial residual = 0.007053905, Final residual = 6.211827e-05, No Iterations 71time step continuity errors : sum local = 3777.266, global = 3.22967, cumulative = 3.22967smoothSolver: Solving for epsilon, Initial residual = 0.9994728, Final residual = 0.0532353, No Iterations 4smoothSolver: Solving for k, Initial residual = 1, Final residual = 0.05640973, No Iterations 4ExecutionTime = 2.65 s ClockTime = 3 sTime = 2smoothSolver: Solving for Ux, Initial residual = 0.5142984, Final residual = 0.02186577, No Iterations 2smoothSolver: Solving for Uy, Initial residual = 0.5242573, Final residual = 0.02244622, No Iterations 2smoothSolver: Solving for Uz, Initial residual = 0.5106874, Final residual = 0.02933279, No Iterations 2smoothSolver: Solving for T, Initial residual = 0.3832824, Final residual = 0.01046751, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 0.9825413, Final residual = 0.009757923, No Iterations 799DICPCG: Solving for p_rgh, Initial residual = 0.04390194, Final residual = 0.000303611, No Iterations 9DICPCG: Solving for p_rgh, Initial residual = 0.0073043, Final residual = 7.259574e-05, No Iterations 45time step continuity errors : sum local = 1883567, global = 2227.205, cumulative = 2230.435smoothSolver: Solving for epsilon, Initial residual = 0.08647006, Final residual = 0.000113174, No Iterations 1smoothSolver: Solving for k, Initial residual = 0.1579946, Final residual = 0.01115579, No Iterations 2ExecutionTime = 9.56 s ClockTime = 10 sTime = 3smoothSolver: Solving for Ux, Initial residual = 0.8070853, Final residual = 0.07865708, No Iterations 3smoothSolver: Solving for Uy, Initial residual = 0.8145663, Final residual = 0.03882168, No Iterations 4smoothSolver: Solving for Uz, Initial residual = 0.5761609, Final residual = 0.0390739, No Iterations 4smoothSolver: Solving for T, Initial residual = 0.1644957, Final residual = 0.006771158, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 0.7802636, Final residual = 0.006709539, No Iterations 13DICPCG: Solving for p_rgh, Initial residual = 0.04575494, Final residual = 0.0004415382, No Iterations 130DICPCG: Solving for p_rgh, Initial residual = 0.005830491, Final residual = 5.648426e-05, No Iterations 78time step continuity errors : sum local = 6.68889e+12, global = -4.053656e+11, cumulative = -4.053656e+11smoothSolver: Solving for epsilon, Initial residual = 1, Final residual = 0.08337707, No Iterations 1smoothSolver: Solving for k, Initial residual = 1, Final residual = 0.08762031, No Iterations 2ExecutionTime = 11.24 s ClockTime = 11 sTime = 4smoothSolver: Solving for Ux, Initial residual = 0.1870785, Final residual = 0.008250987, No Iterations 2smoothSolver: Solving for Uy, Initial residual = 0.1039591, Final residual = 0.003633928, No Iterations 2smoothSolver: Solving for Uz, Initial residual = 0.003344756, Final residual = 0.0001428352, No Iterations 2smoothSolver: Solving for T, Initial residual = 0.0360337, Final residual = 0.0008781286, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 0.9999995, Final residual = 0.7505781, No Iterations 1001DICPCG: Solving for p_rgh, Initial residual = 2.097918e-11, Final residual = 2.097918e-11, No Iterations 0DICPCG: Solving for p_rgh, Initial residual = 2.097918e-11, Final residual = 2.097918e-11, No Iterations 0time step continuity errors : sum local = 9.100777e+16, global = -1.152626e+15, cumulative = -1.153031e+15smoothSolver: Solving for epsilon, Initial residual = 0.006323925, Final residual = 0.0002800085, No Iterations 1smoothSolver: Solving for k, Initial residual = 0.9999998, Final residual = 0.08579136, No Iterations 4ExecutionTime = 15.48 s ClockTime = 16 sTime = 5smoothSolver: Solving for Ux, Initial residual = 0.6268107, Final residual = 0.01889084, No Iterations 2smoothSolver: Solving for Uy, Initial residual = 0.5691313, Final residual = 0.02593386, No Iterations 2smoothSolver: Solving for Uz, Initial residual = 0.525286, Final residual = 0.01999095, No Iterations 2smoothSolver: Solving for T, Initial residual = 0.1776883, Final residual = 0.004896742, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 0.8409992, Final residual = 0.008296552, No Iterations 25DICPCG: Solving for p_rgh, Initial residual = 8.57445e-13, Final residual = 8.57445e-13, No Iterations 0DICPCG: Solving for p_rgh, Initial residual = 8.57445e-13, Final residual = 8.57445e-13, No Iterations 0time step continuity errors : sum local = 3.230307e+23, global = -5.044393e+14, cumulative = -1.657471e+15smoothSolver: Solving for epsilon, Initial residual = 4.732135e-05, Final residual = 1.311093e-10, No Iterations 1bounding epsilon, min: -1.103807e+26 max: 1.972571e+51 average: 2.670218e+47smoothSolver: Solving for k, Initial residual = 0.04771126, Final residual = 0.002285774, No Iterations 2ExecutionTime = 16.44 s ClockTime = 17 sTime = 6smoothSolver: Solving for Ux, Initial residual = 0.9995642, Final residual = 0.04432588, No Iterations 4smoothSolver: Solving for Uy, Initial residual = 0.9996968, Final residual = 0.04761556, No Iterations 4smoothSolver: Solving for Uz, Initial residual = 0.9858131, Final residual = 0.06924769, No Iterations 3smoothSolver: Solving for T, Initial residual = 0.01200576, Final residual = 0.0002952721, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 0.9446084, Final residual = 0.005339222, No Iterations 6DICPCG: Solving for p_rgh, Initial residual = 0.08971123, Final residual = 0.0008218812, No Iterations 6DICPCG: Solving for p_rgh, Initial residual = 0.02323654, Final residual = 0.0002319251, No Iterations 193time step continuity errors : sum local = 4.926861e+44, global = -1.110593e+37, cumulative = -1.110593e+37smoothSolver: Solving for epsilon, Initial residual = 1, Final residual = 0.002671469, No Iterations 2bounding epsilon, min: -2.219668e+47 max: 1.75779e+78 average: 3.182358e+73smoothSolver: Solving for k, Initial residual = 1, Final residual = 0.0501481, No Iterations 2bounding k, min: -3.660183e+25 max: 9.966186e+62 average: 8.53815e+58ExecutionTime = 18.1 s ClockTime = 18 sTime = 7smoothSolver: Solving for Ux, Initial residual = 8.069155e-09, Final residual = 8.069155e-09, No Iterations 0smoothSolver: Solving for Uy, Initial residual = 5.382338e-08, Final residual = 7.473481e-09, No Iterations 1smoothSolver: Solving for Uz, Initial residual = 2.092083e-08, Final residual = 2.077615e-09, No Iterations 1smoothSolver: Solving for T, Initial residual = 0.1619372, Final residual = 0.003564584, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 1, Final residual = 46631.37, No Iterations 1001DICPCG: Solving for p_rgh, Initial residual = 1.64537e-26, Final residual = 1.64537e-26, No Iterations 0DICPCG: Solving for p_rgh, Initial residual = 1.64537e-26, Final residual = 1.64537e-26, No Iterations 0time step continuity errors : sum local = 1.468529e+53, global = 5.868436e+40, cumulative = 5.867326e+40smoothSolver: Solving for epsilon, Initial residual = 0.07343377, Final residual = 2.828068e-19, No Iterations 1bounding epsilon, min: -2.257804e+66 max: 8.093947e+109 average: 1.184346e+105smoothSolver: Solving for k, Initial residual = 0.5212037, Final residual = 0.02939162, No Iterations 2ExecutionTime = 22.26 s ClockTime = 22 sTime = 8smoothSolver: Solving for Ux, Initial residual = 0.6924604, Final residual = 0.01784756, No Iterations 2smoothSolver: Solving for Uy, Initial residual = 0.3637153, Final residual = 0.005737122, No Iterations 2smoothSolver: Solving for Uz, Initial residual = 0.2793264, Final residual = 0.00626238, No Iterations 2smoothSolver: Solving for T, Initial residual = 0.07790577, Final residual = 0.002676894, No Iterations 2DICPCG: Solving for p_rgh, Initial residual = 0.8911507, Final residual = 0.008688155, No Iterations 18DICPCG: Solving for p_rgh, Initial residual = 1.957294e-52, Final residual = 1.957294e-52, No Iterations 0DICPCG: Solving for p_rgh, Initial residual = 1.957294e-52, Final residual = 1.957294e-52, No Iterations 0time step continuity errors : sum local = 8.548233e+90, global = -3.056251e+75, cumulative = -3.056251e+75--------------------------------------------------------------------------mpirun noticed that process rank 1 with PID 2840 on node default exited on signal 8 (Floating point exception).--------------------------------------------------------------------------[1] #0 Foam::error:rintStack(Foam::Ostream&)[0] #0 Foam::error:rintStack(Foam::Ostream&) in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so"[0] #1 Foam::sigFpe::sigHandler(int) in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so"[1] #1 Foam::sigFpe::sigHandler(int) in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so"[0] #2 ? in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so"[1] #2 ? in "/lib64/libc.so.6"[0] #3 Foam::multiply(Foam::Field<double>&, Foam::UList<double> const&, Foam::UList<double> const&) in "/lib64/libc.so.6"[1] #3 Foam::multiply(Foam::Field<double>&, Foam::UList<double> const&, Foam::UList<double> const&) in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so"[0] #4 Foam::tmp<Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh> > Foam:perator*<Foam::fvPatchField, Foam::volMesh>(Foam::tmp<Foam::GeometricField<doub le, Foam::fvPatchField, Foam::volMesh> > const&, Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh> const&) in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so"[1] #4 void Foam::multiply<Foam::fvPatchField, Foam::volMesh>(Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh>&, Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh> const&, Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh> const&) in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libincompressibleTurbulenceModels.so"[1] #5 Foam::tmp<Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh> > Foam:perator*<Foam::fvPatchField, Foam::volMesh>(Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh> const&, Foam::tmp<Foam::GeometricField<double, Foam::fvPatchField, Foam::volMesh> > const&) in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libincompressibleTurbulenceModels.so"[1] #6 Foam::RASModels::RNGkEpsilon<Foam::IncompressibleT urbulenceModel<Foam::transportModel> >::correct() in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libincompressibleTurbulenceModels.so"[1] #7 ? in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/bin/buoyantBoussinesqSimpleFoam"[1] #8 __libc_start_main in "/lib64/libc.so.6"[1] #9 ? in "/opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/bin/buoyantBoussinesqSimpleFoam"[default:02840] *** Process received signal ***[default:02840] Signal: Floating point exception (8)[default:02840] Signal code: (-6)[default:02840] Failing at address: 0x1f400000b18[default:02840] [ 0] /lib64/libc.so.6(+0x32660)[0x7f516d4f4660][default:02840] [ 1] /lib64/libc.so.6(gsignal+0x35)[0x7f516d4f45e5][default:02840] [ 2] /lib64/libc.so.6(+0x32660)[0x7f516d4f4660][default:02840] [ 3] /opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so(_ZN4Foam8multiplyERNS_5FieldIdEERKN S_5UListIdEES6_+0xd5)[0x7f516e7bfd55][default:02840] [ 4] /opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libincompressibleTurbulenceModels.so(_ZN4Foam8mult iplyINS_12fvPatchFieldENS_7volMeshEEEvRNS_14Geomet ricFieldIdT_T0_EERKS6_S9_+0x41)[0x7f5172705861][default:02840] [ 5] /opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libincompressibleTurbulenceModels.so(_ZN4FoammlINS _12fvPatchFieldENS_7volMeshEEENS_3tmpINS_14Geometr icFieldIdT_T0_EEEERKS7_RKS8_+0x15b)[0x7f5172784afb][default:02840] [ 6] /opt/OpenFOAM/OpenFOAM-v1612+/platforms/linux64GccDPInt32Opt/lib/libincompressibleTurbulenceModels.so(_ZN4Foam9RASM odels11RNGkEpsilonINS_29IncompressibleTurbulenceMo delINS_14transportModelEEEE7correctEv+0x2d0)[0x7f51727d5ec0][default:02840] [ 7] buoyantBoussinesqSimpleFoam[0x481a7d][default:02840] [ 8] /lib64/libc.so.6(__libc_start_main+0xfd)[0x7f516d4e0d1d][default:02840] [ 9] buoyantBoussinesqSimpleFoam[0x42db51][default:02840] *** End of error message ***…; Added by Mark JIN at 7:28pm on May 24, 2017