Advances in Civil Engineering

Artificial Intelligence Applications in Civil Engineering


Publishing date
01 Feb 2019
Status
Published
Submission deadline
05 Oct 2018

Lead Editor

1Karadeniz Technical University, Trabzon, Turkey

2Shiraz University, Shiraz, Iran

3Czestochowa University of Technology, Czestochowa, Poland

4Universidade de Passo Fundo, Passo Fundo, Brazil


Artificial Intelligence Applications in Civil Engineering

Description

Artificial intelligence is to develop the machine elements that analyze the human’s thinking system and reflect the same to reality. In recent years, artificial intelligence applications have found a wide range of applications for solving small- and large-scale civil engineering problems such as design optimization, parameters estimation and identification, and damage detection. The increase in artificial intelligence studies with great acceleration shows that the use of artificial intelligence in civil engineering will increase in the coming years.

The focus of this special issue is on applications of artificial intelligence approaches in different fields of civil engineering. For example, the minimization of total weight for a steel, concrete, and composite structure can be obtained using genetic programming, estimating of energy consumption based on the available data can be obtained using artificial neural network, and optimal work schedules for the activities of a construction management can be made by using metaheuristic optimization algorithm. In particular, hybrid artificial intelligence studies in the fields of structural engineering, construction management, hydrology, hydraulic engineering, geotechnical engineering, environmental engineering, transportation engineering, coastal and ocean engineering, and materials of construction form the basis of this special issue. Besides, high-quality original research and review articles including applications of civil engineering using branches of artificial intelligence techniques (artificial neural network, fuzzy system, expert system, swarm intelligence, etc.) are covered in this issue.

Potential topics include but are not limited to the following:

  • Application of hybrid artificial intelligence approaches for hydraulic problems
  • Using artificial neural networks for estimation of the energy consumption obtained by dams and hydropower plants
  • Swarm intelligence for optimum weight of the structures
  • Metaheuristic optimization algorithm in design optimization of 2D and 3D steel or concrete structure
  • Genetic programming for large-scale civil engineering problems
  • Application of fuzzy logic in civil engineering problems
  • Machine Learning for mechanical problems in civil engineering
  • Optimization model for single- and multiobjective solutions for construction management

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 8384523
  • - Editorial

Artificial Intelligence Applications in Civil Engineering

Tayfun Dede | Murat Kankal | ... | Moacir Kripka
  • Special Issue
  • - Volume 2019
  • - Article ID 5720637
  • - Research Article

Risk Assessment Method for Cable System Construction of Long-Span Suspension Bridge Based on Cloud Model

Zhifang Lu | Chaofan Wei | ... | Xiaoguang Deng
  • Special Issue
  • - Volume 2019
  • - Article ID 7405863
  • - Research Article

Implementation of Process-Based and Data-Driven Models for Early Prediction of Construction Time

Silvana Petruseva | Valentina Zileska-Pancovska | Diana Car-Pušić
  • Special Issue
  • - Volume 2019
  • - Article ID 5972620
  • - Research Article

Application of Artificial Neural Network(s) in Predicting Formwork Labour Productivity

Sasan Golnaraghi | Zahra Zangenehmadar | ... | Sabah Alkass
  • Special Issue
  • - Volume 2018
  • - Article ID 7094504
  • - Research Article

Optimization of Headways and Departure Times in Urban Bus Networks: A Case Study of Çorlu, Turkey

Huseyin Ceylan | Tayfun Ozcan
  • Special Issue
  • - Volume 2018
  • - Article ID 1867562
  • - Research Article

Damage Identification by the Data Expansion and Substructuring Methods

Eun-Taik Lee | Hee-Chang Eun
  • Special Issue
  • - Volume 2018
  • - Article ID 7612623
  • - Research Article

Modeling of Energy Efficiency for Residential Buildings Using Artificial Neuronal Networks

José Antonio Álvarez | Juan Ramón Rabuñal | ... | Alejandro Pazos
  • Special Issue
  • - Volume 2018
  • - Article ID 5157824
  • - Research Article

Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis

Ghazi Bahroz Jumaa | Ali Ramadhan Yousif
  • Special Issue
  • - Volume 2018
  • - Article ID 5207962
  • - Research Article

Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete

Aref M. al-Swaidani | Waed T. Khwies
  • Special Issue
  • - Volume 2018
  • - Article ID 7456830
  • - Research Article

A Novel Dynamic Multicriteria Decision-Making Approach for Low-Carbon Supplier Selection of Low-Carbon Buildings Based on Interval-Valued Triangular Fuzzy Numbers

Xia Cao | Zeyu Xing | ... | Shi Yin
Advances in Civil Engineering
 Journal metrics
Acceptance rate41%
Submission to final decision98 days
Acceptance to publication40 days
CiteScore1.100
Impact Factor1.176
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