Constructability-based design approach for steel structures: From truss beams to real-world inspired industrial buildings

Automation in Construction, Journal Year: 2024, Volume and Issue: 166, P. 105630 - 105630

Published: July 23, 2024

This paper presents an optimization framework for steel trusses. The authors implemented a penalty-based approach to optimise the size, shape, and topology based on dynamic grouping strategy address constructability challenges. main contribution of is use damped exponential penalties. ensures optimal designs by balancing structural complexity, through standardization in design, minimizing total number members variety sections, with overall cost. also detailed analysis that underscores sensitivity convergence algorithmic hyperparameters, emphasizing role cross-section assignments stabilization truss piece counts. validated trussed roof structure findings from single optimization. best proved be Howe configuration, highlighting its efficiency meeting defined objective function.

Language: Английский

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Automated planar truss design with reclaimed partially disassembled steel truss components

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 84, P. 108458 - 108458

Published: Jan. 4, 2024

A promising solution to decarbonize steel construction is reusing structural components from existing disassembled structures as it avoids sourcing raw material, the heating associated with recycling, and reduces amount of waste demolition. However, barriers increasing use reused in modern include concerns about an increased length demolition process dramatic changes requires design task. To simultaneously alleviate these concerns, this work presents a new stock-constrained optimization framework for designing planar truss stock library partially trusses. In contrast methods that rely on reuse at element level, mitigates requirements by avoiding complete disassembly all members. The automated eases aggregates triangular while introducing material members where necessary ensure matches exterior geometric intentions. fast (on order 0.1 s generate trial truss), GA module added select among generated designs. Three case studies realistic libraries demonstrate potential disassembling illustrate how user-defined shape variability influence resulting design.

Language: Английский

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Reliability-Constrained Structural Design Optimization Using Visual Programming in Building Information Modeling (BIM) Projects

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1025 - 1025

Published: Jan. 21, 2025

Providing safe, environmentally conscious, and cost-effective designs is the primary duty of civil engineers. To this end, many different algorithms methods have been developed in parallel with progress digital technologies over past decades. Techniques such as AI-based Metaheuristic Algorithms (MAs), Reliability Analysis, Building Information Modelling (BIM) are some those that serve purpose. The present study focuses on establishing a design optimization methodology by implementing techniques open literature one software environment to create robust engineering architectural workflow. involves multiple stages (i) creating parametric trusses employing Visual Programming (VP) Dynamo (Version: 3.0.4); (ii) performing First-order Method (FORM) analysis which includes Finite Element (FEM) Limit State Function (LSF); (iii) MAs achieve optimum variables under uncertain constraints; (iv) testing various real-word examples scenarios; (v) an optimized model Robot Structural Analysis 2024 (RSA) real time purpose further adjustments. results demonstrated workflow utilizing BIM can enhance process easing storing, sharing, data branches capable complicated tasks successfully.

Language: Английский

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Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm

PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2805 - e2805

Published: April 1, 2025

To overcome the mechanical limitations of traditional inertia weight optimization methods, this study draws inspiration from machine learning models and proposes an strategy based on K-nearest neighbors (KNN) principle with dynamic adjustment properties. Unlike conventional approaches that determine solely number iterations, proposed allows to more accurately reflect relative distance between individuals target value. Consequently, it transforms discrete “iteration-weight” mapping ($t\rightarrow w$) into a continuous “distance-weight” ($d\rightarrow w$), thereby enhancing adaptability capability algorithm. Furthermore, inspired by entropy method, introduces entropy-based allocation mechanism in crossover mutation process improve efficiency high-quality information inheritance. validate its effectiveness, is incorporated Seahorse Optimization Algorithm (SHO) systematically evaluated using 31 benchmark functions CEC2005 CEC2021 test suites. Experimental results demonstrate improved SHO algorithm, integrating logistic-KNN crossover-mutation mechanism, exhibits significant advantages terms convergence speed, solution accuracy, algorithm stability. further investigate performance improvements, conducts ablation experiments analyze each modification separately. The confirm individual significantly enhances overall

Language: Английский

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A new stochastic global algorithm for critical load optimization of dome trusses

Optimization and Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Language: Английский

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