Structural design of reinforced concrete buildings based on deep neural networks

Use of convolutional networks in the conceptual structural design of shear wall buildings layout

(2021) Pablo N. Pizarro et al.   ENGINEERING STRUCTURES

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

(2020) Limin Sun et al.   JOURNAL OF STRUCTURAL ENGINEERING

The promise of implementing machine learning in earthquake engineering: A state-of-the-art review

(2020) Yazhou Xie et al.   EARTHQUAKE SPECTRA

The quest for resilience: The Chilean practice of seismic design for reinforced concrete buildings

(2020) René Lagos et al.   EARTHQUAKE SPECTRA

An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm

(2019) H. Tran-Ngoc et al.   ENGINEERING STRUCTURES

Machine learning algorithms for structural performance classifications and predictions: Application to reinforced masonry shear walls

(2019) Ahmad Siam et al.   Structures

Shear wall layout optimization for conceptual design of tall buildings

(2017) Yu Zhang et al.   ENGINEERING STRUCTURES

Decision-Making Algorithm for Multisensor Fusion Based on Grey Relation and DS Evidence Theory

(2016) Fang Ye et al.   Journal of Sensors

State-of-the-art review of some artificial intelligence applications in pile foundations

(2016) Mohamed A. Shahin   Geoscience Frontiers

Deep learning

(2015) Yann LeCun et al.   NATURE

Fundamental principles of the reinforced concrete design code changes in Chile following the Mw 8.8 earthquake in 2010

(2013) Leonardo M. Massone   ENGINEERING STRUCTURES

Seismic Design and Construction Practices for RC Structural Wall Buildings

(2012) Leonardo M. Massone et al.   EARTHQUAKE SPECTRA