98 skills found · Page 1 of 4
metaverse / TrussTruss helps you build go-kit microservices without having to worry about writing or maintaining boilerplate code.
anastruct / AnaStruct2D structural analysis in Python
basetenlabs / Truss ExamplesExamples of models deployable with Truss
JuliaTopOpt / TopOpt.jlA package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.
trussworks / Terraform Layout ExampleExample of a Truss Terraform project
SajadAHMAD1 / Chaotic GSA For Engineering Design ProblemsAll nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
SimonMarquis / Android SpansKotlin and Java wrappers around SpannableStringBuilder (Inspired by JakeWharton's Truss and Kotlin's kotlinx.html)
eschluntz / PytorchBridgeDesigning bridge trusses with Pytorch autograd
adtzlr / TrusspyNonlinear Truss Solver for Python
FEALiTE / FEALiTE2DA finite element analysis library for 2D frame, beams and truss elements using C#
arpastrana / Compas CemInverse design of 3D truss networks with automatic differentiation
basetenlabs / Truss GoGolang SDK for Truss
trussed-dev / Fido AuthenticatorFIDO authenticator Trussed app
janvorisek / EdubeamFree online structural analysis tool for beams and trusses. Edubeam lets you create and solve 2D structures directly in your browser — no installation required. Instantly generate bending moment diagrams, shear force diagrams, and deflection plots. Ideal for students, educators, and engineers.
ShaanCoding / SectricsTruss Analysis Software Using The Finite Element Method
MShawon / Truss 101Truss analysis software using the Finite Element Method written in Python.
rarora7777 / VolumetricTrussSource code for the paper "Volumetric Michell Trusses for Parametric Design and Fabrication" published at SCF 2019.
leo27945875 / Python Stable 3D Truss Analysisslientruss3d : Python for stable truss analysis and optimization tool
jhbastek / InvertibleTrussDesignImplementation of 'Inverting the structure-property map of truss metamaterials via deep learning' (PNAS)
trussed-dev / Trussed Totp Pc TutorialExample Trussed app, implementing OATH TOTP, running on PC.
