Machine learning and optimization techniques for steel connections

L Greco - Proceedings of IASS Annual Symposia, 2018 - ingentaconnect.com
Most part of their time, engineers around the globe are asked to design over and over again
the same or very similar structures, without just taking what has already been done or …

Applications of Artificial Intelligence Techniques for Optimization of Structural Steel Connections

E Duong, A Darras, RG Driver, M Essa… - Canadian Society of Civil …, 2021 - Springer
Steel connections in building projects are traditionally designed in Canada by the
fabricator's engineer using connection design software or spreadsheets, often …

[PDF][PDF] Genetic algorithm optimization of semi-rigid steel structures

AA Del Savio, SAL Andrade, P Vellasco… - Proceedings of 8th …, 2005 - researchgate.net
The main purpose of the present paper is to describe an investigation made on the
optimization of the flexural capacity of steel structures by varying the stiffness and resistance …

[引用][C] Artificial Intelligence and Design Optimization

NU Gang - Computational Structural Engineering, 2020 - koreascience.kr
첫째, 형상 최적화의 경우 규칙 기반의 파라미터화가 필요하고, 복잡한 설계 문제의 경우 다량의
설계변수를 동시에 최적화하기 어려운 단점이 있다. 이 경우 답러닝의 생성 모델 (Generative …

[PDF][PDF] Artificial Intelligent in Optimization of Steel Moment Frame Structures: A Review

M Soori, FKG Jough - International Journal of Structural and …, 2024 - hal.science
The integration of Artificial Intelligence (AI) techniques in the optimization of steel moment
frame structures represents a transformative approach to enhance the design, analysis, and …

A novel strategy for tall building optimization via combination of asymmetric genetic algorithm and machine learning methods

MS Es-haghi, M Sarcheshmehpour - 2021 - sciforum.net
The optimum design of tall buildings, which have a proportionately huge quantity of
structural elements and a variety of design code constraints, is a very computationally …

Machine learning techniques in optimal design

G Cerbone - Artificial Intelligence in Design'92, 1992 - Springer
Many important application problems can be formalized as constrained non-linear
optimization tasks. However, numerical methods for solving such problems are brittle and do …

Machine learning in engineering: Techniques to speed up numerical optimization

G Cerbone - 1992 - ir.library.oregonstate.edu
Many important application problems in engineering can be formalized as nonlinear
optimization tasks. However, numerical methods for solving such problems are brittle and do …

Developing a structural optimization software for efficient and practical optimum design of real-world steel structures

A Korucu - 2022 - open.metu.edu.tr
Structural engineers have to design not only safe and practical buildings in a reasonably
short period but also guarantee that the design generated should be cost-efficient. However …

[PDF][PDF] An overall approach to structural design of steelworks using genetic algorithms

NBH Ali, JC Mangin… - System-based vision for …, 2003 - researchgate.net
The overall design of steel structures related to the definition of structural joints, connections
and supports plays an important role in the analysis of steel structures and affects …