摘要
随着建筑行业向数字化、智能化转型,传统建筑结构设计模式因过度依赖经验判断、效率低下且易陷入局部最优解等问题,已难以满足现代工程对经济性与安全性的双重需求。在此背景下,本文聚焦建筑结构优化设计领域,提出融合BIM技术与深度学习的创新方法,构建了“数据采集、模型训练、优化决策、BIM模型更新”的闭环技术框架,实现建筑结构三维参数化建模、数据挖掘与智能优化,该方法在高层建筑项目中可提升设计效率、降低材料消耗,同时保障结构安全性,为建筑结构设计智能化、精准化转型提供了可行路径。
As the construction industry undergoes digital and intelligent transformation,traditional structural design approaches-characterized by excessive reliance on empirical judgment,inefficiency,and susceptibility to local optima-can no longer meet modern engineering's dual demands for cost-effectiveness and safety.Addressing this challenge,this paper proposes an innovative methodology integrating BIM technology with deep learning in structural optimization design.A closed-loop technical framework has been established encompassing"data acquisition,model training,optimization decision-making,and BIM model updates,"enabling three-dimensional parametric modeling,data mining,and intelligent optimization of building structures.This approach enhances design efficiency and reduces material consumption in high-rise projects while ensuring structural integrity,providing a viable pathway for the intelligent and precise evolution of architectural design.
作者
张广智
ZHANG Guang-zhi(Tai'an Dawenkou Cultural Protection and Inheritance Center,Tai'an 271000,China)
出处
《价值工程》
2025年第24期131-133,共3页
Value Engineering
关键词
BIM技术
深度学习
建筑结构优化
参数化建模
智能设计
BIM technology
deep learning
optimization of building structure
parametric modeling
intelligent design
