Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques

By N Time, J. Jeon. 2018

324 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/d99b71239ef1edbb0dcad0fc3b62023d01478247

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Majid Ebad Sichani
2. Jamie E. Padgett
3. Reginald DesRoches
4. Yazhou Xie

In Civil and Structural Engineering

1. Majid Ebad Sichani
2. Jamie E. Padgett
3. Reginald DesRoches
4. Yazhou Xie

Citations in the corpus

• The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, methodology): “In this regard, a handful of studies focused on predicting failure modes and shear strength for beam-column joints (Jeon et al., 2014; Mangalathu and Jeon, 2018; Mitra et al., 2011; Naderpour and Mirrashid, 2019; Yaseen et al., 2018).”