{"id":29574,"date":"2021-07-28T06:06:44","date_gmt":"2021-07-28T10:06:44","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=29574"},"modified":"2026-03-26T06:19:23","modified_gmt":"2026-03-26T10:19:23","slug":"simulate-and-ye-shall-be-simulated","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/simulate-and-ye-shall-be-simulated\/","title":{"rendered":"Simulate, and ye shall be simulated"},"content":{"rendered":"\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p><em>\u201cMost likely we are in a simulation\u201d<\/em><\/p><cite>Elon Musk<\/cite><\/blockquote>\n\n\n\n<p>Is our universe a&nbsp;gargantuan&nbsp;simulation performed by a post-human civilization?&nbsp;Are we unaware yet conscious actors of a virtual, simulated world?&nbsp;Maybe ours&nbsp;is \u201cjust\u201d one instance of a design exploration exercise? I know, it seems a bit like the plot of the next movie by the Wachowskis, but mind you \u2013 there is an actual branch of modern philosophy dealing with that (see&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Simulation_hypothesis\" target=\"_blank\" rel=\"noreferrer noopener\">Simulation hypothesis<\/a>&nbsp;and references&nbsp;therein). Now, whoever is performing this calculation surely has immense computational power (lucky them!).&nbsp;They must be very skilled engineers&nbsp;too because&nbsp;the simulation has not diverged for 13.8 billion years. (If They are reading this blog post,&nbsp;maybe They&nbsp;could send me the solver settings They are using).&nbsp;&nbsp;<\/p>\n\n\n\n<p>One thing is sure, though. This numerical experiment we&nbsp;allegedly live&nbsp;in is a complex, multiphysics simulation. <\/p>\n\n\n\n<p>Wait, you said&nbsp;<em>what is multiphysics?<\/em>&nbsp;Glad you asked.&nbsp;&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>A multiverse of definitions<\/strong><\/h3>\n\n\n\n<p>There is a bit of confusion around&nbsp;<em>multiphysics<\/em>&nbsp;and related terms (starting from the spelling:&nbsp;hyphen&nbsp;or no&nbsp;hyphen?). Here below is how&nbsp;I&nbsp;see things. Warning: there is some overlap among the various concepts.&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Multiphysics<\/em>&nbsp;simulations involve simultaneous physical phenomena, whose numerical models dialogue with each other with a substantial level of numerical coupling. For instance, those models can belong to different classes: fluid dynamics, heat transfer\/radiation, electrodynamics,&nbsp;solid stress, chemistry\/combustion etc<\/li><\/ul>\n\n\n\n<p>Multiphysics simulations are useful because they tend to be also <em>high-fidelity<\/em>, in the sense that they mimic reality with greater realism. Let\u2019s&nbsp;see some examples&nbsp;of what could be considered multiphysics:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>Combustion&nbsp;<\/em>simulations, which&nbsp;involve fluid dynamics,&nbsp;chemistry&nbsp;and&nbsp;heat transfer&nbsp;(mainly&nbsp;radiation&nbsp;and convection). See also <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/combustion-simulation-a-cyclists-guide-to-clean-air-with-simcenter-star-ccm-reacting-flow-adaptive-mesh-refinement-amr\/\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a><\/li><li><em>Fluid-structure interaction<\/em>, which&nbsp;accounts for the effect that the flow has on the solids&nbsp;with which it is in contact (by deforming the&nbsp;solid structure) and the effect that this deformation has on the flow pattern<\/li><li><em>Plasma arc&nbsp;<\/em>simulations,&nbsp;where you need to couple fluid dynamics, electromagnetics, erosion\/ablation, heat transfer in all its modes. See also <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/plasma-arcs-circuit-breakers\/\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a><\/li><li><em>Multiphase&nbsp;<\/em>simulations, which&nbsp;involve interaction of distinct phases.&nbsp;In all&nbsp;meaningful cases&nbsp;each phase has its own equation of state and different physics. For&nbsp;instance,&nbsp;a liquid like water&nbsp;mixed&nbsp;with a gas like air&nbsp;(think of bubbles, sprays, sloshing, cavitation). Or flows&nbsp;moving&nbsp;tiny&nbsp;solid particles (fluidized beds, incinerators etc)&nbsp;&nbsp;<\/li><li><em>Multibody&nbsp;<\/em>dynamics simulations, which&nbsp;allow you to simulate systems of interacting rigid bodies. If coupled with fluid dynamics (see Example 1 below), one can consider them multiphysics&nbsp;<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Multiphysics CFD simulation | Snippet Simcenter STAR-CCM+ #SimcenterCFD #HowToSimcenterSTARCCM\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/HVxHV9mPW-A?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><figcaption>Multiphysics CFD Simulation in Simcenter STAR-CCM+<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>It&#8217;s complicated &#8211; or not?<\/strong><\/h3>\n\n\n\n<p>Multiphysics&nbsp;simulations tend to be&nbsp;<em>complex<\/em>,&nbsp;but&nbsp;complex is not&nbsp;synonymous with&nbsp;<em>complicated.&nbsp;<\/em>Well, at least not with&nbsp;Simcenter&nbsp;STAR-CCM+: the&nbsp;integrated approach&nbsp;will allow you to run&nbsp;CFD&nbsp;simulations&nbsp;with&nbsp;multiphysics&nbsp;aspects&nbsp;in just one instance of the software (without complicated co-simulations&nbsp;with other tools&nbsp;and\/or&nbsp;third-party&nbsp;plug-ins).&nbsp;&nbsp;<\/p>\n\n\n\n<p>Finally, the term multiphysics can refer both to the problem and the solution, however, a multiphysics problem does not necessarily require a multiphysics solution. It all depends on your needs and computational power.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Here are&nbsp;4&nbsp;examples that&nbsp;demonstrate&nbsp;how to simulate multiphysics in Simcenter STAR-CCM+. The examples factor various combinations of different physics interacting with each other, producing an ever more precise depiction of the simulated products or phenomena.&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p><em>Simcenter STAR-CCM+ is an excellent multiphysics package, it offers extensive features and models with high flexibility and numerical quality.&nbsp;It has enabled us to model with high complexity to understand and predict the switching processes [of high-voltage circuit breakers] and behavior for&nbsp;different designs&nbsp;and gas mixtures.<\/em><\/p><cite>Development engineer, Hyundai Electric Switzerland<\/cite><\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Multiphysics in Simcenter STAR-CCM+: Multibody simulations of an amphibious vehicle<\/strong><\/h3>\n\n\n\n<p>This example reminds me a bit of some scene from&nbsp;<em>Herbie&nbsp;The&nbsp;Love Bug<\/em>&nbsp;(this one&nbsp;in particular&nbsp;<a href=\"https:\/\/www.youtube.com\/watch?v=SISDQTXxHs8\" target=\"_blank\" rel=\"noreferrer noopener\">Herbie&nbsp;Goes To Monte Carlo (1977) Lake Scene<\/a>).&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>It&nbsp;is a multiphase simulation&nbsp;run in Simcenter STAR-CCM+ using&nbsp;multibody dynamics.&nbsp;Performing a simulation like this helps to predict the maneuverability and stability of amphibious vehicles. Maneuverability and stability are affected by many factors (coastal wave, fuel, load, vehicle\u2019s center of gravity), so a predictive simulation&nbsp;must&nbsp;include those different effects.&nbsp;<\/p>\n\n\n\n<p>Dynamic Fluid Body Interaction,&nbsp;Overset&nbsp;mesh, Virtual Disk for propellers, Volume of Fluid (for&nbsp;buoyancy&nbsp;and drag): these are some of the numerical techniques&nbsp;and models&nbsp;used for this complex simulation.&nbsp;&nbsp;<\/p>\n\n\n\n<p>(Warning:&nbsp;do not&nbsp;try this at home with your car.)&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls poster=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/2021-07-26-16_11_48-AmphibiousVehicle_BeachLanding.mp4-VLC-media-player.png\" src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/d6c8c715-d0c5-402f-ac1e-0759eccac64f-en-US-video.mp4\"><\/video><figcaption><em>An amphibious car landing on a beach. Courtesy of Marco Buonfiglioli and Ryuta Suzuki<\/em><\/figcaption><\/figure>\n\n\n\n<p>For more info on multiphase simulations, see also <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/affordable-accuracy-vof-to-lagrangian-resolved-transition\/\" target=\"_blank\" rel=\"noreferrer noopener\">this blog post<\/a> or <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/unlocking-the-potential-of-hybrid-multiphase-cfd-simulation\/\" target=\"_blank\" rel=\"noreferrer noopener\">this one<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Multiphysics in Simcenter STAR-CCM+: Lobster tails<\/strong><\/h3>\n\n\n\n<p><em>Lobster tails<\/em>&nbsp;and&nbsp;<em>scallops&nbsp;<\/em>may remind you of some Atlantic&nbsp;<em>haute cuisine<\/em>, however, in this context, they refer to the typical shape of ice formation on wings and other aerodynamic structures.&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-gallery columns-2 is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\"><ul class=\"blocks-gallery-grid\"><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"791\" height=\"1024\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-791x1024.jpg\" alt=\"\" data-id=\"29661\" data-full-url=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-scaled.jpg\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/lobster_tail_ice_formation_on_aerosurface_-_gpn-2000-002006\/\" class=\"wp-image-29661\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-791x1024.jpg 791w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-464x600.jpg 464w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-768x994.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-1187x1536.jpg 1187w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-1582x2048.jpg 1582w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-900x1165.jpg 900w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Lobster_Tail_Ice_Formation_on_Aerosurface_-_GPN-2000-002006-scaled.jpg 1978w\" sizes=\"auto, (max-width: 791px) 100vw, 791px\" \/><figcaption class=\"blocks-gallery-item__caption\"><em><em>Ice formation on solid structures:<\/em><\/em> <em>on the leading edge of an aircraft tail section. Image from NASA Glenn Research Center<\/em><\/figcaption><\/figure><\/li><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"480\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Icing_on_a_rotor.jpg\" alt=\"\" data-id=\"29660\" data-full-url=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Icing_on_a_rotor.jpg\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/icing_on_a_rotor\/\" class=\"wp-image-29660\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Icing_on_a_rotor.jpg 640w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/Icing_on_a_rotor-600x450.jpg 600w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><figcaption class=\"blocks-gallery-item__caption\"><em>Ice formation on solid structures: on a rotor blade. <em>Image from NASA Icing Research Tunnel<\/em><\/em><\/figcaption><\/figure><\/li><\/ul><\/figure>\n\n\n\n<p>High-fidelity simulations do share some aspects with cooking, though: the right basic ingredients are necessary (but not sufficient) for a great result.&nbsp;This is a compelling example of multiphysics in Simcenter STAR-CCM+, and&nbsp;my colleagues had to include different ingredients. For instance: wall&nbsp;roughness, evaporation\/condensation, rain&nbsp;(as Dispersed Multiphase). As I said though,&nbsp;having the right ingredients is&nbsp;not enough. You&nbsp;also need&nbsp;the right&nbsp;recipe or process&nbsp;for&nbsp;blending them together. In this case, a&nbsp;clever and&nbsp;fully&nbsp;automated meshing strategy with&nbsp;mesh morphing and remeshing&nbsp;created a delicious outcome.&nbsp;&nbsp;<\/p>\n\n\n\n<p>The expectation was that this simulation would predict ice forming in a \u201cscallop\u201d formation. And indeed, that is precisely what happened.&nbsp;\u201cAs ice grows,\u201d&nbsp;says my colleague Scott Wilensky, \u201cthe simulation rightly predicts degradation of the lift on the wing and an increase of drag, showing the undesirable but unfortunately all too well-known effect of ice&nbsp;accretion&nbsp;on aerodynamic performance.\u201d&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls poster=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/2021-07-26-16_07_55-ice2.avi-VLC-media-player.png\" src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/002df84b-3ef2-4e4e-badb-56be26a0f4ef-en-US-video.mp4\"><\/video><figcaption><em>Ice accretion on an aerosurface. Courtesy of Scott Wilensky and Chris Nelson<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Multiphysics in Simcenter STAR-CCM+: Heart valve<\/strong><\/h3>\n\n\n\n<p>I confess I understood how a&nbsp;trileaflet&nbsp;heart valve works&nbsp;only after seeing it simulated by a skilled colleague of mine&nbsp;with&nbsp;Simcenter&nbsp;STAR-CCM+.&nbsp;&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/2021-07-27-10_19_07-Fluid-structure-interaction-FSI-simulation-of-trileaflet-heart-valve.png\" alt=\"Trileaflet valve\" class=\"wp-image-29686\" width=\"397\" height=\"361\"\/><figcaption>A trileaflet heart valve (Source:&nbsp;<a href=\"https:\/\/www.novostia.com\/patient-benefits\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.novostia.com\/patient-benefits<\/a>)<\/figcaption><\/figure><\/div>\n\n\n\n<p>Trileaflet valves&nbsp;are prosthetic valves that replace the functionality of natural ones. They mimic their natural counterpart: they&nbsp;stop the blood from flowing&nbsp;under certain pressure conditions&nbsp;or they let it flow&nbsp;under&nbsp;proper conditions. This is realized thanks to the valve reacting to the blood pressure and adjusting the shape of its deformable leaflets.&nbsp;The fact is, those leaflets need to be&nbsp;made with the right&nbsp;material. For two good reasons:&nbsp;first, they need the have the right flexibility&nbsp;and robustness; second,&nbsp;with some materials, the blood&nbsp;ends up&nbsp;sticking&nbsp;to the structure&nbsp;over time.&nbsp;As a consequence,&nbsp;patients will need to take blood-thinning drugs&nbsp;to prevent that.&nbsp;<\/p>\n\n\n\n<p>So, could one transfer the&nbsp;analysis&nbsp;of those valves from the physical lab to the&nbsp;virtual lab, for a more immersive&nbsp;experience&nbsp;and&nbsp;a more&nbsp;inventive&nbsp;framework?&nbsp;Could one play \u201cwhat-if\u201d scenarios by exploring different leaflet material conditions?&nbsp;Yes, with the right virtual lab.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls poster=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/2021-07-26-16_06_19-TrileafletValve_FotoRender-1.mp4-VLC-media-player.png\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/TrileafletValve_FotoRender-1.mp4\"><\/video><figcaption><em>Trileaflet valve in action. Courtesy of Rafael Ritterbusch<\/em><\/figcaption><\/figure>\n\n\n\n<p>The right virtual lab&nbsp;must&nbsp;be able to perform&nbsp;Fluid-Structure Interaction.&nbsp;Fluid-Structure Interaction&nbsp;is&nbsp;the numerical link between fluid dynamics and its effects on solid structures (and vice versa).&nbsp;Now, simulation engineers have modeled trileaflet heart valves before. However, my colleagues, armed with Simcenter STAR-CCM+, could&nbsp;demonstrate&nbsp;how to automate the simulation workflow. In conclusion, thanks&nbsp;to Simcenter STAR-CCM+\u2019s single interface, it was possible&nbsp;to parametrize the&nbsp;CAD&nbsp;model and&nbsp;explore&nbsp;many&nbsp;different designs&nbsp;even for such a complex multiphysics problem.&nbsp;<\/p>\n\n\n\n<p>I heartily (no pun intended) suggest you read the <a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/fsi-simulation-heart-valve\/\" target=\"_blank\" rel=\"noreferrer noopener\">full story<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Multiphysics in Simcenter STAR-CCM+: Oil cooling of an electric motor<\/strong><\/h3>\n\n\n\n<p>Finally,&nbsp;here is&nbsp;a recent example of a high-fidelity multiphysics simulation with electromagnetics, heat transfer, and multiphase fluid dynamics.&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>Our colleagues at Siemens Technologies were testing a new oil-cooling concept for an electric motor,&nbsp;developed under a collaborative EU-funded project&nbsp;with Valeo-Siemens Automotive.<\/p>\n\n\n\n<p>So, in this concept the oil flows&nbsp;<em>within&nbsp;<\/em>the conductors, allowing for great cooling efficiency. When one uses oil in&nbsp;synergy&nbsp;with the water jacket, the temperature&nbsp;immediately&nbsp;drops by ~45 degrees. Simulations with Simcenter STAR-CCM+ could&nbsp;demonstrate&nbsp;and let us visualize the idea. In this example, our colleagues had to make use of a multiphysics approach in order to obtain a high-fidelity simulation, with results very close to their lab measurements. Analyses like this allow you to maximize the torque, power density, and efficiency,&nbsp;while&nbsp;simultaneously minimizing the size,&nbsp;cost,&nbsp;and weight of your e-motor. Our feverish planet will thank you.&nbsp;&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls poster=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/2021-07-26-16_10_23-OSEM02.Set02PP.SceneOilIsosurfaceBS2_2s_Video960x600.mp4-VLC-media-player.png\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/OSEM02.Set02PP.SceneOilIsosurfaceBS2_2s_Video960x600.mp4\"><\/video><figcaption><em>Oil jet cooling of an electric motor. Courtesy of Stefan Holst, Klaus Wechsler, Oleg Kazak<\/em><\/figcaption><\/figure>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p><em>I picked Simcenter STAR-CCM+ because of the multiphysics capabilities to model corrosion, fluid film, thin film, condensation etc. I can quickly and accurately calculate electrolyte thickness, choose the correct polarization, material data and calculate corrosion rate.<\/em><\/p><cite>Alan Rose, CEO of Corrdesa<\/cite><\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Chapter quiz<\/strong><\/h3>\n\n\n\n<p>Alright, time to test your knowledge now. Is&nbsp;<em>the<\/em>&nbsp;Simulation, the one we live in,&nbsp;a&nbsp;<em>high-fidelity<\/em>&nbsp;one?&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>Here is&nbsp;the correct answer: technically we&nbsp;do not&nbsp;know, because we&nbsp;do not&nbsp;know the base reality our geeky Creators are trying to mimic. Who knows,&nbsp;maybe They&nbsp;got it all wrong. Or&nbsp;maybe not,&nbsp;that\u2019s&nbsp;why they keep running it (for our own sake).&nbsp;&nbsp;<\/p>\n\n\n\n<p>In any case, if They are not already doing so,&nbsp;They&nbsp;should consider using Simcenter STAR-CCM+ for their next high-fidelity universe. With all the computational power bonanza They have,&nbsp;They&nbsp;will surely enjoy&nbsp;all of&nbsp;its&nbsp;perks.&nbsp;&nbsp;<\/p>\n\n\n\n<p>[Fun fact: according to the Simulation Hypothesis, our Creators, in turn, may themselves be simulated by another entity, and so, in turn, this entity&#8230; in an endless hierarchy of simulators and simulated.]&nbsp;&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cMost likely we are in a simulation\u201d Elon Musk Is our universe a&nbsp;gargantuan&nbsp;simulation performed by a post-human civilization?&nbsp;Are we unaware&#8230;<\/p>\n","protected":false},"author":7209,"featured_media":29777,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1],"tags":[242],"industry":[],"product":[],"coauthors":[1821],"class_list":["post-29574","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-computational-fluid-dynamics-cfd"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2021\/07\/2021-07-28-09_23_34-PowerPoint-Slide-Show-Presentation1.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/29574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/7209"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=29574"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/29574\/revisions"}],"predecessor-version":[{"id":30713,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/29574\/revisions\/30713"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/29777"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=29574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=29574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=29574"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=29574"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=29574"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=29574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}