A review study of application of artificial intelligence in construction management and composite beams

IF 4 3区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Steel and Composite Structures Pub Date : 2021-01-01 DOI:10.12989/SCS.2021.39.6.685

Yan Cao, Y. Zandi, Alireza Sadighi Agdas, Qiangfeng Wang, Xueming Qian, Leijie Fu, Karzan Wakil, A. Selmi, A. Issakhov, Á. Roco-Videla

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引用次数: 17

Abstract

This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil engineering applications such as predicting and evaluating the different parameters of composite beams and shear connectors and determining the compressive strength of concrete. Also, the application of AI methods especially artificial neural network (ANN) in construction engineering and management including prediction and estimation, decision-making, classification or selection, optimization and risk analysis and safety has been thoroughly discussed. Furthermore, the integration of Artificial Neural network (ANN) with other soft computing methods, such as Backpropagation (BP), imperialist competitive algorithm (ICA), support vector regression (SVR), back-propagation neural network (BPNN), Genetic Algorithms (GA) and Multilayer feed forward (MLFF) has been reviewed. It has been reported that the combination of ANN with other intelligence algorithms leads to providing more accurate results. Moreover, the performance of ANN with other soft computing techniques, such as BP, BPNN, SVR, GA, ICA, and MLFF in various fields has been compared and ANN in many cases had superiority over other models.

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人工智能在施工管理和组合梁中的应用综述

本文旨在回顾人工智能(AI)算法在各种土木工程应用中的应用，例如预测和评估组合梁和剪切连接件的不同参数，以及确定混凝土的抗压强度。并对人工智能方法特别是人工神经网络(ANN)在建筑工程和管理中的应用进行了深入的探讨，包括预测和估计、决策、分类或选择、优化、风险分析和安全。此外，还综述了人工神经网络(ANN)与其他软计算方法的集成，如反向传播(BP)、帝国主义竞争算法(ICA)、支持向量回归(SVR)、反向传播神经网络(BPNN)、遗传算法(GA)和多层前馈(MLFF)。据报道，人工神经网络与其他智能算法的结合可以提供更准确的结果。此外，将人工神经网络与其他软计算技术，如BP、BPNN、SVR、GA、ICA和MLFF在各个领域的性能进行了比较，在许多情况下，人工神经网络比其他模型具有优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Steel and Composite Structures 工程技术-材料科学：复合

CiteScore

8.50

自引率

19.60%

发文量

审稿时长

7.5 months

期刊介绍： Steel & Composite Structures, An International Journal, provides and excellent publication channel which reports the up-to-date research developments in the steel structures and steel-concrete composite structures, and FRP plated structures from the international steel community. The research results reported in this journal address all the aspects of theoretical and experimental research, including Buckling/Stability, Fatigue/Fracture, Fire Performance, Connections, Frames/Bridges, Plates/Shells, Composite Structural Components, Hybrid Structures, Fabrication/Maintenance, Design Codes, Dynamics/Vibrations, Nonferrous Metal Structures, Non-metalic plates, Analytical Methods. The Journal specially wishes to bridge the gap between the theoretical developments and practical applications for the benefits of both academic researchers and practicing engineers. In this light, contributions from the practicing engineers are especially welcome.