Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering applications

Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders

(2021) A. Kaveh et al.   ACTA MECHANICA

An efficient hybrid approach based on Harris Hawks optimization and imperialist competitive algorithm for structural optimization

(2021) A. Kaveh et al.   ENGINEERING WITH COMPUTERS

Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements

(2021) De-Cheng Feng et al.   ENGINEERING STRUCTURES

Multi-component deconvolution interferometry for data-driven prediction of seismic structural response

(2021) Debarshi Sen et al.   ENGINEERING STRUCTURES

Seismic response prediction and variable importance analysis of extended pile-shaft-supported bridges against lateral spreading: Exploring optimized machine learning models

(2021) Xiaowei Wang et al.   ENGINEERING STRUCTURES

Spatiotemporal Deep Learning for Bridge Response Forecasting

(2021) Ruiyang Zhang et al.   JOURNAL OF STRUCTURAL ENGINEERING

Model development and seismic performance evaluation of rectangular reinforced concrete columns with short lap splices in existing building frames

(2021) Muhammad Haseeb Alvi et al.   ENGINEERING STRUCTURES

Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design

(2021) Mohsen Zaker Esteghamati et al.   ENGINEERING STRUCTURES

A database of test results from steel and reinforced concrete infilled frame experiments

(2020) Honglan Huang et al.   EARTHQUAKE SPECTRA

Data‐driven optimal predictive control of seismic induced vibrations in frame structures

(2020) G. D. Di Girolamo et al.   Structural Control & Health Monitoring

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

(2020) Mohsen Azimi et al.   SENSORS

Uncertainty‐assisted deep vision structural health monitoring

(2020) Seyed Omid Sajedi et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Development and Utilization of a Database of Infilled Frame Experiments for Numerical Modeling

(2020) Honglan Huang et al.   JOURNAL OF STRUCTURAL ENGINEERING

A Data-Driven Physics-Informed Method for Prognosis of Infrastructure Systems: Theory and Application to Crack Prediction

(2020) Sandeep Das et al.   ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A-Civil Engineering

A database of seismic designs, nonlinear models, and seismic responses for steel moment-resisting frame buildings

(2020) Xingquan Guan M.EERI et al.   EARTHQUAKE SPECTRA

Drift Capacity of RC Structural Walls with Special Boundary Elements

(2019) Saman A. Abdullah et al.   ACI STRUCTURAL JOURNAL

Reconciling modern machine-learning practice and the classical bias–variance trade-off

(2019) Mikhail Belkin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Classification of in-plane failure modes for reinforced concrete frames with infills using machine learning

(2019) Honglan Huang et al.   Journal of Building Engineering

Classifying Earthquake Damage to Buildings Using Machine Learning

(2019) Sujith Mangalathu et al.   EARTHQUAKE SPECTRA

A data‐driven framework for near real‐time and robust damage diagnosis of building structures

(2019) Seyed Omid Sajedi et al.   Structural Control & Health Monitoring

Simplified Drift Demand Prediction of Bridges under Liquefaction-Induced Lateral Spreading

(2018) Yazhou Xie et al.   Journal of Bridge Engineering

Machine Learning–Based Backbone Curve Model of Reinforced Concrete Columns Subjected to Cyclic Loading Reversals

(2018) Huan Luo et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures

(2016) José C. Matos et al.   ENGINEERING STRUCTURES

A case study to quantify prediction bounds caused by model-form uncertainty of a portal frame

(2015) Kendra L. Van Buren et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Simulating the dynamics of wind turbine blades: part II, model validation and uncertainty quantification

(2012) Kendra L. Van Buren et al.   WIND ENERGY